From 8d39d70be01bdeef870bdc1ccf266ede32ef3853 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 16 Aug 2024 16:02:54 -0600 Subject: [PATCH 001/116] MD components file for KBHDP case study --- .../case_studies/KBHDP/components/MD.py | 443 ++++++++++++++++++ 1 file changed, 443 insertions(+) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py new file mode 100644 index 00000000..4614d53f --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -0,0 +1,443 @@ +import os +import math +import numpy as np +from pyomo.environ import ( + ConcreteModel, + value, + Param, + Var, + Constraint, + Set, + Expression, + TransformationFactory, + Objective, + NonNegativeReals, + Block, + RangeSet, + check_optimal_termination, + units as pyunits, +) +from pyomo.network import Arc, SequentialDecomposition +from pyomo.util.check_units import assert_units_consistent +from idaes.core import FlowsheetBlock, UnitModelCostingBlock, MaterialFlowBasis +from idaes.core.solvers import get_solver +from idaes.core.util.initialization import propagate_state as _prop_state +import idaes.core.util.scaling as iscale +from idaes.core.util.scaling import ( + constraint_scaling_transform, + calculate_scaling_factors, + set_scaling_factor, +) +import idaes.logger as idaeslogger +from idaes.core.util.exceptions import InitializationError +from idaes.models.unit_models import Product, Feed, StateJunction, Separator +from idaes.core.util.model_statistics import * + +from watertap.core.util.model_diagnostics.infeasible import * +from watertap.core.zero_order_properties import WaterParameterBlock +from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock + +from watertap_contrib.reflo.costing import ( + TreatmentCosting, + EnergyCosting, + REFLOCosting, +) +from watertap.costing.zero_order_costing import ZeroOrderCosting +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import * + +# Flowsheet function imports +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import ( + build_vagmd_flowsheet, + fix_dof_and_initialize, +) + +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_design_model import ( + get_n_time_points, +) +from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel + + +def build_system(model_options,n_time_points): + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + + m.fs.params = SeawaterParameterBlock() + + m.fs.md = FlowsheetBlock(dynamic=False) + build_streams(m.fs, m.fs.params) + build_md(m, m.fs.md,model_options,n_time_points) + + TransformationFactory("network.expand_arcs").apply_to(m) + + return m + + +def build_streams(blk, prop_package): + blk.feed = StateJunction(property_package=prop_package) + blk.product = StateJunction(property_package=prop_package) + blk.disposal = StateJunction(property_package=prop_package) + + +def build_md(m, blk, model_options,n_time_points) -> None: + + print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') + + # n_time_points = 1 + + # Build the multiperiod object for MD + blk.unit = MultiPeriodModel( + n_time_points= n_time_points, + process_model_func=build_vagmd_flowsheet, + linking_variable_func=get_vagmd_batch_variable_pairs, + initialization_func=fix_dof_and_initialize, + unfix_dof_func=unfix_dof, + outlvl=logging.WARNING, + ) + + feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"],to_units=pyunits.L/pyunits.h)() + + # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) + blk.unit.build_multi_period_model( + model_data_kwargs={t: model_options for t in range(n_time_points)}, + flowsheet_options=model_options, + unfix_dof_options={"feed_flow_rate": feed_flow_rate}, + ) + + +def init_md(m, blk, model_options, verbose=True, solver=None): + if solver is None: + solver = get_solver() + + optarg = solver.options + + print( + "\n\n-------------------- INITIALIZING MEMBRANE DISTILLATION --------------------\n\n" + ) + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + print(f"MD Degrees of Freedom: {degrees_of_freedom(blk)}") + print("\n\n") + + # blk.feed.initialize(optarg=optarg) + # propagate_state(blk.feed_to_unit) + feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"],to_units=pyunits.L/pyunits.h)() + feed_salinity = m.fs.feed.properties[0.0].conc_mass_phase_comp["Liq","TDS"] + feed_temp = m.fs.feed.properties[0.0].temperature() - 273.15 + + add_performance_constraints(m,blk.unit,model_options) + + iscale.calculate_scaling_factors(blk.unit) + solver = get_solver() + active_blks = blk.unit.get_active_process_blocks() + for active in active_blks: + fix_dof_and_initialize( + m=active, + feed_flow_rate=feed_flow_rate, + feed_salinity=feed_salinity, + feed_temp=feed_temp, + ) + result = solver.solve(active) + unfix_dof(m=active, feed_flow_rate=feed_flow_rate) + + # propagate_state(blk.unit_to_disposal) + # propagate_state(blk.unit_to_product) + m.fs.product.initialize(optarg=optarg) + m.fs.disposal.initialize(optarg=optarg) + + +def set_md_op_conditions(blk): + + active_blks = blk.unit.get_active_process_blocks() + + # Set-up for the first time period + feed_salinity = m.fs.feed.properties[0.0].conc_mass_phase_comp["Liq","TDS"] + feed_temp = m.fs.feed.properties[0.0].temperature() + + print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") + print('Feed salinity in g/l:',feed_salinity()) + print('Feed temperature in C:', feed_temp-273.15) + + active_blks[0].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"].fix( + feed_salinity + ) + active_blks[0].fs.vagmd.feed_props[0].temperature.fix(feed_temp) + active_blks[0].fs.acc_distillate_volume.fix(0) + active_blks[0].fs.pre_feed_temperature.fix(feed_temp) + active_blks[0].fs.pre_permeate_flow_rate.fix(0) + active_blks[0].fs.acc_thermal_energy.fix(0) + active_blks[0].fs.pre_thermal_power.fix(0) + active_blks[0].fs.acc_cooling_energy.fix(0) + active_blks[0].fs.pre_cooling_power.fix(0) + active_blks[0].fs.acc_electric_energy.fix(0) + active_blks[0].fs.pre_cooling_pump_power_elec.fix(0) + active_blks[0].fs.pre_feed_pump_power_elec.fix(0) + + +def set_system_conditions(blk, model_options): + + feed_flow_rate = model_options['feed_flow_rate']*pyunits.L/pyunits.h + feed_salinity = model_options['feed_salinity']*pyunits.g/pyunits.L + feed_temp = model_options['feed_temp'] + + flow_mass_in = pyunits.convert(feed_flow_rate, to_units=pyunits.m**3/pyunits.s)*1000*pyunits.kg/pyunits.m**3 + feed_salinity_in = pyunits.convert(feed_salinity*feed_flow_rate, to_units=pyunits.kg/pyunits.s) + print(feed_salinity(),feed_salinity_in()) + + blk.feed.properties[0.0].flow_mass_phase_comp["Liq","H2O"].fix(flow_mass_in) + blk.feed.properties[0.0].flow_mass_phase_comp["Liq","TDS"].fix(feed_salinity_in) + + blk.feed.properties[0.0].temperature.fix(pyunits.convert_temp_C_to_K(feed_temp)) + blk.feed.properties[0.0].conc_mass_phase_comp["Liq","TDS"] + + solver = get_solver() + optarg = solver.options + blk.feed.initialize(optarg=optarg) + + +def set_system_output(blk,n_time_points,model_options): + active_blks = blk.md.unit.get_active_process_blocks() + + # Get final variables + num_modules = active_blks[-1].fs.vagmd.num_modules + acc_recovery = active_blks[-1].fs.acc_recovery_ratio + # L/h -> converted to kg/s + permeate_production_rate = num_modules*value(active_blks[-1].fs.acc_distillate_volume) / ( + value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600)*pyunits.L/pyunits.h + permeate_production_mass_rate = pyunits.convert(permeate_production_rate, pyunits.m**3/pyunits.s) *1000*pyunits.kg/pyunits.m**3 + + # TODO: Calculate temperature + + blk.product.properties[0].flow_mass_phase_comp['Liq','H2O'].fix(permeate_production_mass_rate) + blk.product.properties[0].flow_mass_phase_comp["Liq","TDS"].fix(0) + blk.product.properties[0].temperature.fix() + + # L/h -> converted to kg/s + brine_production_rate = num_modules*model_options['initial_batch_volume']*(1-acc_recovery)/( + value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600)*pyunits.L/pyunits.h + + brine_production_mass_rate = pyunits.convert(brine_production_rate, pyunits.m**3/pyunits.s) *1000*pyunits.kg/pyunits.m**3 + + brine_salinity = brine_production_rate*pyunits.convert(active_blks[-1].fs.pre_feed_salinity,to_units=pyunits.kg/pyunits.m**3) + blk.disposal.properties[0].flow_mass_phase_comp['Liq','H2O'].fix(brine_production_mass_rate) + blk.disposal.properties[0].flow_mass_phase_comp["Liq","TDS"].fix(brine_salinity) + blk.disposal.properties[0].temperature.fix() + +def add_performance_constraints(m,blk,model_options): + + # Create accumlative energy terms + blk.system_capacity = Var( + initialize=model_options['system_capacity'], + bounds=(0, None), + units=pyunits.m**3 / pyunits.day, + doc="System capacity (m3/day)", + ) + + blk.overall_thermal_power_requirement = Var( + initialize=2e5, + bounds=(0, None), + units=pyunits.kW, + doc="Thermal power requirement (kW-th)", + ) + + blk.overall_elec_power_requirement = Var( + initialize=300, + bounds=(0, None), + units=pyunits.kW, + doc="Electric power requirement (kW-e)", + ) + + @blk.Constraint( + doc="Calculate the overall thermal power requirement through all periods" + ) + def eq_thermal_power_requirement(b): + return b.overall_thermal_power_requirement == ( + blk.get_active_process_blocks()[-1].fs.specific_energy_consumption_thermal + * pyunits.convert(b.system_capacity, to_units=pyunits.m**3 / pyunits.h) + ) + + @blk.Constraint( + doc="Calculate the overall electric power requirement through all periods" + ) + def eq_elec_power_requirement(b): + return b.overall_elec_power_requirement == ( + blk.get_active_process_blocks()[-1].fs.specific_energy_consumption_electric + * pyunits.convert(b.system_capacity, to_units=pyunits.m**3 / pyunits.h) + ) + + iscale.calculate_scaling_factors(blk) + + if iscale.get_scaling_factor(blk.overall_thermal_power_requirement) is None: + iscale.set_scaling_factor(blk.overall_thermal_power_requirement, 1e-5) + + if iscale.get_scaling_factor(blk.overall_elec_power_requirement) is None: + iscale.set_scaling_factor(blk.overall_elec_power_requirement, 1e-3) + + +def add_md_costing(m, blk): + """ + This function adds costing module to the target multiperiod module mp, + by adding the unit costing package to the last time step, + and overwritting flow values with accumulated ones + + Args: + mp: A pyomo module that describes the vagmd multiperiod model + flowsheet_costing_block: Costing block which has been created for the whole flowsheet + + Returns: + object: A costing module associated to the multiperiod module + """ + m.fs.costing = REFLOCosting() + blk.system_capacity.fix() + # Specify the last time step + vagmd = blk.get_active_process_blocks()[-1].fs.vagmd + vagmd.costing = UnitModelCostingBlock( + flowsheet_costing_block=m.fs.costing + ) + + # Overwrite the thermal and electric energy flow with the accumulated values + vagmd.costing.costing_package.cost_flow( + blk.overall_thermal_power_requirement - vagmd.thermal_power_requirement, + "heat", + ) + vagmd.costing.costing_package.cost_flow( + blk.overall_elec_power_requirement - vagmd.elec_power_requirement, + "electricity", + ) + + # Recalculate the number of modules required + vagmd.eqn_num_modules.deactivate() + + blks = blk.get_active_process_blocks() + n_time_points = len(blks) + + vagmd.num_modules_constraint = Constraint( + expr=vagmd.num_modules + == pyunits.convert( + vagmd.system_capacity + / sum( + blk.get_active_process_blocks()[i].fs.vagmd.permeate_flux + for i in range(n_time_points) + ) + * n_time_points + / blk.get_active_process_blocks()[0].fs.vagmd.module_area, + to_units=pyunits.dimensionless, + ) + ) + + + +def solve(model, solver=None, tee=True, raise_on_failure=True): + # ---solving--- + if solver is None: + solver = get_solver() + + print("\n--------- SOLVING ---------\n") + + results = solver.solve(model, tee=tee) + + if check_optimal_termination(results): + print("\n--------- OPTIMAL SOLVE!!! ---------\n") + return results + msg = ( + "The current configuration is infeasible. Please adjust the decision variables." + ) + if raise_on_failure: + raise RuntimeError(msg) + else: + return results + + + +if __name__ == "__main__": + + model_options = { + "dt": None, + "system_capacity": 1000, + "feed_flow_rate": 600, # L/h + "evap_inlet_temp": 80, + "cond_inlet_temp": 25, + "feed_temp": 50, + "feed_salinity": 35, + "initial_batch_volume": 50, #L + "module_type": "AS7C1.5L", + "cooling_system_type": "closed", + "cooling_inlet_temp": 25, + } + + # Calculate the number of periods to reach target recovery rate by solving the system first + n_time_points_check = get_n_time_points( + dt=model_options['dt'], + feed_flow_rate=model_options['feed_flow_rate'], + evap_inlet_temp=model_options['evap_inlet_temp'], + cond_inlet_temp=model_options['cond_inlet_temp'], + feed_temp=model_options['feed_temp'], + feed_salinity=model_options['feed_salinity'], + recovery_ratio= 0.5, + initial_batch_volume=model_options['initial_batch_volume'], + module_type=model_options['module_type'], + cooling_system_type=model_options['cooling_system_type'], + cooling_inlet_temp=model_options['cooling_inlet_temp'], + ) + + + n_time_points = 2 + + m = build_system(model_options,n_time_points) + + set_system_conditions(m.fs,model_options) + + init_md(m, m.fs.md, model_options) + add_md_costing(m, m.fs.md.unit) + + set_md_op_conditions(m.fs.md) + + solver = get_solver() + try: + results = solver.solve(m.fs.md) + except ValueError: + m.fs.md.unit.active_blocks[0].fs.vagmd.display() + # print_infeasible_constraints(m) + + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + + m.fs.costing.total_investment_factor.fix(1) + m.fs.costing.maintenance_labor_chemical_factor.fix(0) + m.fs.costing.capital_recovery_factor.fix(0.08764) + m.fs.costing.wacc.unfix() + + m.fs.costing.cost_process() + + active_blks = m.fs.md.unit.get_active_process_blocks() + m.fs.costing.add_annual_water_production(active_blks[-1].fs.vagmd.system_capacity) + m.fs.costing.add_LCOW(active_blks[-1].fs.vagmd.system_capacity) + + # assert degrees_of_freedom(m) == 0 + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + results = solver.solve(m) + + set_system_output(m.fs,n_time_points,model_options) + print("Overall LCOW ($/m3): ", value(m.fs.costing.LCOW)) + print('Calculate n_time points', n_time_points_check) + + +# def report_UF(m, blk, stream_table=False): +# print(f"\n\n-------------------- UF Report --------------------\n") +# print("\n") +# print( +# f'{"Inlet Flow Volume":<30s}{value(m.fs.UF.feed.properties[0.0].flow_vol):<10.3f}{pyunits.get_units(m.fs.UF.feed.properties[0.0].flow_vol)}' +# ) +# print(f'{"UF Performance:":<30s}') +# print( +# f'{" Recovery":<30s}{100*m.fs.UF.unit.recovery_frac_mass_H2O[0.0].value:<10.1f}{"%"}' +# ) +# print( +# f'{" TDS Removal":<30s}{100*m.fs.UF.unit.removal_frac_mass_comp[0.0,"tds"].value:<10.1f}{"%"}' +# ) +# print( +# f'{" TSS Removal":<30s}{100*m.fs.UF.unit.removal_frac_mass_comp[0.0,"tss"].value:<10.1f}{"%"}' +# ) +# print( +# f'{" Energy Consumption":<30s}{m.fs.UF.unit.electricity[0.0].value:<10.3f}{pyunits.get_units(m.fs.UF.unit.electricity[0.0])}' +# ) +# print( +# f'{" Specific Energy Cons.":<30s}{value(m.fs.UF.unit.energy_electric_flow_vol_inlet):<10.3f}{pyunits.get_units(m.fs.UF.unit.energy_electric_flow_vol_inlet)}' +# ) \ No newline at end of file From b03d784e85f9215ec9c8c959078ae49876e8a162 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Tue, 3 Sep 2024 14:46:13 -0600 Subject: [PATCH 002/116] cleaning up MD component file --- .../KBHDP/components/KBHDP_RPT_3.py | 60 +++++++++++++++++++ .../case_studies/KBHDP/components/MD.py | 36 +++++------ 2 files changed, 79 insertions(+), 17 deletions(-) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/KBHDP_RPT_3.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/KBHDP_RPT_3.py new file mode 100644 index 00000000..b162b0f3 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/KBHDP_RPT_3.py @@ -0,0 +1,60 @@ +import os +import math +import numpy as np +from pyomo.environ import ( + ConcreteModel, + value, + Param, + Var, + Constraint, + Set, + Expression, + TransformationFactory, + Objective, + NonNegativeReals, + Block, + RangeSet, + check_optimal_termination, + units as pyunits, +) +from pyomo.network import Arc, SequentialDecomposition +from pyomo.util.check_units import assert_units_consistent +from idaes.core import FlowsheetBlock, UnitModelCostingBlock, MaterialFlowBasis +from idaes.core.solvers import get_solver +from idaes.core.util.initialization import propagate_state as _prop_state +import idaes.core.util.scaling as iscale +from idaes.core.util.scaling import ( + constraint_scaling_transform, + calculate_scaling_factors, + set_scaling_factor, +) +import idaes.logger as idaeslogger +from idaes.core.util.exceptions import InitializationError +from idaes.models.unit_models import Product, Feed, StateJunction, Separator +from idaes.core.util.model_statistics import * + +from watertap.core.util.model_diagnostics.infeasible import * +from watertap.core.zero_order_properties import WaterParameterBlock +from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock + +from watertap_contrib.reflo.costing import ( + TreatmentCosting, + EnergyCosting, + REFLOCosting, +) +from watertap.costing.zero_order_costing import ZeroOrderCosting +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import * + +# Flowsheet function imports +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import ( + build_vagmd_flowsheet, + fix_dof_and_initialize, +) + +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_design_model import ( + get_n_time_points, +) +from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel + + +# TODO: Add translator block after \ No newline at end of file diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 4614d53f..1d4e5d4a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -34,7 +34,6 @@ from idaes.core.util.model_statistics import * from watertap.core.util.model_diagnostics.infeasible import * -from watertap.core.zero_order_properties import WaterParameterBlock from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock from watertap_contrib.reflo.costing import ( @@ -43,7 +42,6 @@ REFLOCosting, ) from watertap.costing.zero_order_costing import ZeroOrderCosting -from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import * # Flowsheet function imports from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import ( @@ -54,6 +52,12 @@ from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_design_model import ( get_n_time_points, ) + +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet_multiperiod import ( + get_vagmd_batch_variable_pairs, + unfix_dof +) + from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel @@ -61,23 +65,21 @@ def build_system(model_options,n_time_points): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) + # Property package m.fs.params = SeawaterParameterBlock() + # Create Streams + m.fs.feed = Feed(property_package = m.fs.params) + m.fs.product = Product(property_package = m.fs.params) + m.fs.disposal = Product(property_package = m.fs.params) + + # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) - build_streams(m.fs, m.fs.params) build_md(m, m.fs.md,model_options,n_time_points) - TransformationFactory("network.expand_arcs").apply_to(m) - return m -def build_streams(blk, prop_package): - blk.feed = StateJunction(property_package=prop_package) - blk.product = StateJunction(property_package=prop_package) - blk.disposal = StateJunction(property_package=prop_package) - - def build_md(m, blk, model_options,n_time_points) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') @@ -94,7 +96,9 @@ def build_md(m, blk, model_options,n_time_points) -> None: outlvl=logging.WARNING, ) - feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"],to_units=pyunits.L/pyunits.h)() + # Converting to units L/h and supplying only value + feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"], + to_units=pyunits.L/pyunits.h)() # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) blk.unit.build_multi_period_model( @@ -117,10 +121,10 @@ def init_md(m, blk, model_options, verbose=True, solver=None): print(f"MD Degrees of Freedom: {degrees_of_freedom(blk)}") print("\n\n") - # blk.feed.initialize(optarg=optarg) - # propagate_state(blk.feed_to_unit) + # Converting to units L/h and supplying only value feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"],to_units=pyunits.L/pyunits.h)() feed_salinity = m.fs.feed.properties[0.0].conc_mass_phase_comp["Liq","TDS"] + # Converting temperature to C units feed_temp = m.fs.feed.properties[0.0].temperature() - 273.15 add_performance_constraints(m,blk.unit,model_options) @@ -138,8 +142,6 @@ def init_md(m, blk, model_options, verbose=True, solver=None): result = solver.solve(active) unfix_dof(m=active, feed_flow_rate=feed_flow_rate) - # propagate_state(blk.unit_to_disposal) - # propagate_state(blk.unit_to_product) m.fs.product.initialize(optarg=optarg) m.fs.disposal.initialize(optarg=optarg) @@ -379,7 +381,7 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): ) - n_time_points = 2 + n_time_points = 3 m = build_system(model_options,n_time_points) From 38d6e9c48528357b503b7bd332fcf51c02c768de Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Wed, 11 Sep 2024 14:46:26 -0600 Subject: [PATCH 003/116] building case study flowsheet --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 490 ++++++++++++++++++ .../KBHDP/components/KBHDP_RPT_3.py | 60 --- .../case_studies/KBHDP/components/MD.py | 103 ++-- 3 files changed, 553 insertions(+), 100 deletions(-) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py delete mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/KBHDP_RPT_3.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py new file mode 100644 index 00000000..04e306f2 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -0,0 +1,490 @@ +import os +import math +import numpy as np +from pyomo.environ import ( + ConcreteModel, + value, + Param, + Var, + Constraint, + Set, + Expression, + TransformationFactory, + Objective, + NonNegativeReals, + Block, + RangeSet, + check_optimal_termination, + units as pyunits, +) +from pyomo.network import Arc, SequentialDecomposition +from pyomo.util.check_units import assert_units_consistent +from idaes.core import FlowsheetBlock, UnitModelCostingBlock, MaterialFlowBasis +from idaes.core.solvers import get_solver +from idaes.core.util.initialization import propagate_state as _prop_state +import idaes.core.util.scaling as iscale +from idaes.core.util.scaling import ( + constraint_scaling_transform, + calculate_scaling_factors, + set_scaling_factor, +) +import idaes.logger as idaeslogger +from idaes.core.util.exceptions import InitializationError +from idaes.models.unit_models import Product, Feed, StateJunction, Separator +from idaes.core.util.model_statistics import * + +from watertap.core.util.model_diagnostics.infeasible import * +from watertap.core.zero_order_properties import WaterParameterBlock +from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock + +from watertap_contrib.reflo.costing import ( + TreatmentCosting, + EnergyCosting, + REFLOCosting, +) +from watertap.costing.zero_order_costing import ZeroOrderCosting +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import * + +# Flowsheet function imports +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import ( + build_vagmd_flowsheet, + fix_dof_and_initialize, +) + +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_design_model import ( + get_n_time_points, +) +from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel + + +# TODO: Add translator block after + +# __all__ = [ +# "build_system", +# "add_connections", +# "add_constraints", +# "add_costing", +# "relax_constraints", +# "set_inlet_conditions", +# "set_operating_conditions", +# "report_MCAS_stream_conc", +# "display_system_stream_table", +# "display_system_build", +# "init_system", +# ] + + +def propagate_state(arc): + _prop_state(arc) + # print(f"Propogation of {arc.source.name} to {arc.destination.name} successful.") + # arc.source.display() + # print(arc.destination.name) + # arc.destination.display() + # print("\n") + + +def main(): + + m = build_system() + display_system_build(m) + add_connections(m) + add_constraints(m) + set_operating_conditions(m) + init_system(m) + add_costing(m) + solve(m) + display_system_stream_table(m) + report_softener(m) + report_UF(m, m.fs.UF) + report_RO(m, m.fs.RO) + display_costing_breakdown(m) + + +def build_system(): + + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + m.fs.costing = REFLOCosting() + m.fs.costing.base_currency = pyunits.USD_2020 + + m.fs.MCAS_properties = MCASParameterBlock( + solute_list=[ + "Alkalinity_2-", + "Ca_2+", + "Cl_-", + "Mg_2+", + "K_+", + "SiO2", + "Na_+", + "SO2_-4+", + ], + material_flow_basis=MaterialFlowBasis.mass, + ) + + m.fs.feed = Feed(property_package=m.fs.MCAS_properties) + m.fs.product = Product(property_package=m.fs.RO_properties) + m.fs.disposal = Product(property_package=m.fs.RO_properties) + + # Define the Unit Models + m.fs.md = FlowsheetBlock(dynamic=False) + # m.fs.dwi = FlowsheetBlock(dynamic=False) + + # Define the Translator Blocks + m.fs.MCAS_to_NaCl_translator = Translator_MCAS_to_NACL( + inlet_property_package=m.fs.MCAS_properties, + outlet_property_package=m.fs.RO_properties, + has_phase_equilibrium=False, + outlet_state_defined=True, + ) + + m.fs.MCAS_to_TDS_translator = Translator_MCAS_to_TDS( + inlet_property_package=m.fs.MCAS_properties, + outlet_property_package=m.fs.UF_properties, + has_phase_equilibrium=False, + outlet_state_defined=True, + ) + + m.fs.TDS_to_NaCl_translator = Translator_TDS_to_NACL( + inlet_property_package=m.fs.UF_properties, + outlet_property_package=m.fs.RO_properties, + has_phase_equilibrium=False, + outlet_state_defined=True, + ) + + build_ro(m, m.fs.RO, prop_package=m.fs.RO_properties) + + m.fs.MCAS_properties.set_default_scaling( + "flow_mass_phase_comp", 10**-1, index=("Liq", "H2O") + ) + m.fs.MCAS_properties.set_default_scaling( + "flow_mass_phase_comp", 10**-1, index=("Liq", "NaCl") + ) + + m.fs.RO_properties.set_default_scaling( + "flow_mass_phase_comp", 1, index=("Liq", "H2O") + ) + m.fs.RO_properties.set_default_scaling( + "flow_mass_phase_comp", 1e2, index=("Liq", "NaCl") + ) + + return m + + +def add_connections(m): + + m.fs.feed_to_md = Arc( + source=m.fs.feed.outlet, + destination=m.fs.softener.unit.inlet, + ) + + m.fs.md_to_dwi = Arc( + source=m.fs.softener.unit.outlet, + destination=m.fs.MCAS_to_TDS_translator.inlet, + ) + + TransformationFactory("network.expand_arcs").apply_to(m) + + +def add_constraints(m): + m.fs.water_recovery = Var( + initialize=0.5, + bounds=(0, 0.99), + domain=NonNegativeReals, + units=pyunits.dimensionless, + doc="System Water Recovery", + ) + + m.fs.feed_flow_mass = Var( + initialize=1, + bounds=(0.00001, 1e6), + domain=NonNegativeReals, + units=pyunits.kg / pyunits.s, + doc="System Feed Flowrate", + ) + + m.fs.feed_flow_vol = Var( + initialize=1, + bounds=(0.00001, 1e6), + domain=NonNegativeReals, + units=pyunits.L / pyunits.s, + doc="System Feed Flowrate", + ) + + m.fs.perm_flow_mass = Var( + initialize=1, + bounds=(0.00001, 1e6), + domain=NonNegativeReals, + units=pyunits.kg / pyunits.s, + doc="System Produce Flowrate", + ) + + m.fs.eq_water_recovery = Constraint( + expr=m.fs.feed.properties[0].flow_vol * m.fs.water_recovery + == m.fs.product.properties[0].flow_vol + ) + + m.fs.feed.properties[0].conc_mass_phase_comp + m.fs.product.properties[0].conc_mass_phase_comp + m.fs.disposal.properties[0].conc_mass_phase_comp + m.fs.MCAS_to_NaCl_translator.properties_in[0.0].conc_mass_phase_comp + m.fs.MCAS_to_NaCl_translator.properties_out[0.0].conc_mass_phase_comp + + +def add_costing(m): + + m.fs.costing.cost_process() + m.fs.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) + m.fs.costing.add_LCOW(m.fs.product.properties[0].flow_vol) + + + +def set_inlet_conditions( + m, + Qin=4, + supply_pressure=1e5, + primary_pump_pressure=15e5, +): + + print(f'\n{"=======> SETTING OPERATING CONDITIONS <=======":^60}\n') + feed_temperature = 293 + + Qin = Qin * pyunits.Mgal / pyunits.day + flow_in = pyunits.convert(Qin, to_units=pyunits.m**3/pyunits.s) + rho = 1000 * pyunits.kg / pyunits.m**3 + flow_mass_phase_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) + + inlet_dict = { + "Ca_2+": 0.61 * pyunits.kg / pyunits.m**3, + "Mg_2+": 0.161 * pyunits.kg / pyunits.m**3, + "Alkalinity_2-": 0.0821 * pyunits.kg / pyunits.m**3, + "SiO2": 0.13 * pyunits.kg / pyunits.m**3, + "Cl_-": 5.5 * pyunits.kg / pyunits.m**3, + "Na_+": 5.5 * pyunits.kg / pyunits.m**3, + "K_+": 0.016 * pyunits.kg / pyunits.m**3, + "SO2_-4+": 0.23 * pyunits.kg / pyunits.m**3, + } + + calc_state_dict = { + ("flow_vol_phase", "Liq"): value(flow_in), + ("pressure", None): 101325, + ("temperature", None): 298, + } + + for solute, solute_conc in inlet_dict.items(): + calc_state_dict[("conc_mass_phase_comp", ("Liq", solute))] = solute_conc + flow_mass_solute = pyunits.convert(flow_in * solute_conc, to_units=pyunits.kg / pyunits.s) + sf = 1 / value(flow_mass_solute) + m.fs.feed.properties[0].flow_mass_phase_comp["Liq", solute].set_value(flow_mass_solute) + m.fs.MCAS_properties.set_default_scaling( + "flow_mass_phase_comp", + sf, + index=("Liq", solute), + ) + m.fs.MCAS_properties.set_default_scaling( + "conc_mass_phase_comp", + 1 / solute_conc(), + index=("Liq", solute), + ) + m.fs.MCAS_properties.set_default_scaling( + "mass_frac_phase_comp", + 1 / value(flow_mass_solute / flow_mass_phase_water), + index=("Liq", solute), + ) + + m.fs.MCAS_properties.set_default_scaling( + "flow_mass_phase_comp", + 1 / value(m.fs.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"]), + index=("Liq", "H2O"), + ) + calculate_scaling_factors(m) + + m.fs.feed.properties.calculate_state( + var_args=calc_state_dict, hold_state=True + ) + calculate_scaling_factors(m) + + + + # # initialize feed + m.fs.feed.pressure[0].fix(supply_pressure) + m.fs.feed.temperature[0].fix(feed_temperature) + + +def display_unfixed_vars(blk, report=True): + print("\n\n-------------------- UNFIXED VARIABLES --------------------\n\n") + print(f'{"BLOCK":<40s}{"UNFIXED VARIABLES":<30s}') + print(f"{blk.name:<40s}{number_unused_variables(blk)}") + for v in blk.component_data_objects(ctype=Block, active=True, descend_into=True): + print(f"{v.name:<40s}{number_unused_variables(v)}") + for v2 in unused_variables_set(v): + print(f"\t{v2.name:<40s}") + + +def set_operating_conditions(m): + set_inlet_conditions(m, Qin=4, supply_pressure=1e5) + set_softener_op_conditions(m, m.fs.softener.unit) + set_UF_op_conditions(m.fs.UF) + set_ro_system_operating_conditions( + m, m.fs.RO, mem_area=10000, RO_pump_pressure=20e5 + ) + + +def init_system(m, verbose=True, solver=None): + if solver is None: + solver = get_solver() + + optarg = solver.options + + print("\n\n-------------------- INITIALIZING SYSTEM --------------------\n\n") + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + + m.fs.feed.initialize() + # propagate_state(m.fs.feed_to_primary_pump) + propagate_state(m.fs.feed_to_softener) + report_MCAS_stream_conc(m, m.fs.feed.properties[0.0]) + init_softener(m, m.fs.softener.unit) + propagate_state(m.fs.softener_to_translator) + m.fs.MCAS_to_TDS_translator.initialize() + propagate_state(m.fs.translator_to_UF) + init_UF(m, m.fs.UF) + propagate_state(m.fs.UF_to_translator3) + # BUG Need to add UF to disposal + + m.fs.TDS_to_NaCl_translator.initialize() + + # propagate_state(m.fs.translator_to_pump) + # m.fs.pump.initialize() + + # propagate_state(m.fs.pump_to_ro) + propagate_state(m.fs.translator_to_ro) + print("got here") + return + init_ro_system(m, m.fs.RO) + propagate_state(m.fs.ro_to_product) + propagate_state(m.fs.ro_to_disposal) + + m.fs.product.initialize() + m.fs.disposal.initialize() + display_system_stream_table(m) + m.fs.softener.unit.properties_waste[0].conc_mass_phase_comp + + +def solve(m, solver=None, tee=True, raise_on_failure=True): + # ---solving--- + if solver is None: + solver = get_solver() + + print("\n--------- SOLVING ---------\n") + + results = solver.solve(m, tee=tee) + + if check_optimal_termination(results): + print("\n--------- OPTIMAL SOLVE!!! ---------\n") + return results + msg = ( + "The current configuration is infeasible. Please adjust the decision variables." + ) + if raise_on_failure: + print_infeasible_bounds(m) + print_close_to_bounds(m) + + raise RuntimeError(msg) + else: + print(msg) + return results + + +def report_MCAS_stream_conc(m, stream): + solute_set = m.fs.MCAS_properties.solute_set + print(f"\n\n-------------------- {stream} CONCENTRATIONS --------------------\n\n") + print(f'{"Component":<15s}{"Conc.":<10s}{"Units":10s}') + for i in solute_set: + print( + f"{i:<15s}: {stream.conc_mass_phase_comp['Liq', i].value:<10.3f}{pyunits.get_units(stream.conc_mass_phase_comp['Liq', i])}" + ) + print( + f'{"Overall TDS":<15s}: {sum(value(stream.conc_mass_phase_comp["Liq", i]) for i in solute_set):<10.3f}{pyunits.get_units(stream.conc_mass_phase_comp["Liq", "Ca_2+"])}' + ) + print( + f"{'Vol. Flow Rate':<15s}: {stream.flow_mass_phase_comp['Liq', 'H2O'].value:<10.3f}{pyunits.get_units(stream.flow_mass_phase_comp['Liq', 'H2O'])}" + ) + + +def report_stream_ion_conc(m, stream): + print(f"\n\n-------------------- {stream} CONCENTRATIONS --------------------\n\n") + for ion_conc in stream.conc_mass_phase_comp: + print( + f"{ion_conc[1]:<15s}: {stream.conc_mass_phase_comp[ion_conc].value:<10.3f}{str(pyunits.get_units(stream.conc_mass_phase_comp[ion_conc]))}" + ) + + +def display_system_stream_table(m): + print("\n\n-------------------- SYSTEM STREAM TABLE --------------------\n\n") + print( + f'{"NODE":<20s}{"MASS FLOW RATE H2O (KG/S)":<30s}{"PRESSURE (BAR)":<20s}{"MASS FLOW RATE NACL (KG/S)":<30s}{"CONC. (G/L)":<20s}' + ) + print( + f'{"Feed":<20s}{m.fs.feed.properties[0.0].flow_mass_phase_comp["Liq", "H2O"].value:<30.3f}{value(pyunits.convert(m.fs.feed.properties[0.0].pressure, to_units=pyunits.bar)):<30.1f}' + ) + print( + f'{"Softener Inlet":<20s}{m.fs.softener.unit.properties_in[0.0].flow_mass_phase_comp["Liq", "H2O"].value:<30.3f}{pyunits.convert(m.fs.softener.unit.properties_in[0.0].pressure, to_units=pyunits.bar)():<30.1f}' + ) + print( + f'{"Softener Outlet":<20s}{m.fs.softener.unit.properties_out[0.0].flow_mass_phase_comp["Liq", "H2O"].value:<30.3f}{pyunits.convert(m.fs.softener.unit.properties_out[0.0].pressure, to_units=pyunits.bar)():<30.1f}' + ) + display_flow_table(m.fs.RO) + print("\n\n") + + +def display_system_build(m): + blocks = [] + for v in m.fs.component_data_objects(ctype=Block, active=True, descend_into=False): + print(v) + + +def display_costing_breakdown(m): + print("\n\n-------------------- SYSTEM COSTING BREAKDOWN --------------------\n\n") + header = f'{"PARAM":<25s}{"VALUE":<25s}{"UNITS":<25s}' + print(header) + print( + f'{"Product Flow":<25s}{f"{value(pyunits.convert(m.fs.product.properties[0].flow_vol, to_units=pyunits.m **3 * pyunits.yr ** -1)):<25,.1f}"}{"m3/yr":<25s}' + ) + print(f'{"LCOW":<24s}{f"${m.fs.costing.LCOW():<25.3f}"}{"$/m3":<25s}') + + +if __name__ == "__main__": + file_dir = os.path.dirname(os.path.abspath(__file__)) + m = build_system() + # display_system_build(m) + add_connections(m) + add_constraints(m) + relax_constraints(m, m.fs.RO) + set_operating_conditions(m) + constraint_scaling_transform(m.fs.softener.unit.eq_mass_balance_mg, 1e4) + # try: + init_system(m) + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + solver = get_solver() + # set_scaling_factor(m.fs.RO.stage[1].module.feed_side.dh, 1e7) + # check_jac(m.fs.RO) + results = solver.solve(m) + + # check_jac(m.fs.RO) + assert_optimal_termination(results) + + # add_costing(m) + # m.fs.costing.initialize() + # m.fs.costing.lime.cost.set_value(0) + # m.fs.costing.chemical_softening.lime_feed_system_op_coeff.set_value(0) + results = solver.solve(m) + + + # ro = m.fs.RO.stage[1].module + + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + # print_infeasible_constraints(m.fs.RO) + # print_variables_close_to_bounds(m.fs.RO) + print(f"termination {results.solver.termination_condition}") + # print(f"LCOW = {m.fs.costing.LCOW()}") +# TODO Add costing to the system +# TODO Use case study input values \ No newline at end of file diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/KBHDP_RPT_3.py deleted file mode 100644 index b162b0f3..00000000 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/KBHDP_RPT_3.py +++ /dev/null @@ -1,60 +0,0 @@ -import os -import math -import numpy as np -from pyomo.environ import ( - ConcreteModel, - value, - Param, - Var, - Constraint, - Set, - Expression, - TransformationFactory, - Objective, - NonNegativeReals, - Block, - RangeSet, - check_optimal_termination, - units as pyunits, -) -from pyomo.network import Arc, SequentialDecomposition -from pyomo.util.check_units import assert_units_consistent -from idaes.core import FlowsheetBlock, UnitModelCostingBlock, MaterialFlowBasis -from idaes.core.solvers import get_solver -from idaes.core.util.initialization import propagate_state as _prop_state -import idaes.core.util.scaling as iscale -from idaes.core.util.scaling import ( - constraint_scaling_transform, - calculate_scaling_factors, - set_scaling_factor, -) -import idaes.logger as idaeslogger -from idaes.core.util.exceptions import InitializationError -from idaes.models.unit_models import Product, Feed, StateJunction, Separator -from idaes.core.util.model_statistics import * - -from watertap.core.util.model_diagnostics.infeasible import * -from watertap.core.zero_order_properties import WaterParameterBlock -from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock - -from watertap_contrib.reflo.costing import ( - TreatmentCosting, - EnergyCosting, - REFLOCosting, -) -from watertap.costing.zero_order_costing import ZeroOrderCosting -from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import * - -# Flowsheet function imports -from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import ( - build_vagmd_flowsheet, - fix_dof_and_initialize, -) - -from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_design_model import ( - get_n_time_points, -) -from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel - - -# TODO: Add translator block after \ No newline at end of file diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 1d4e5d4a..2f4181aa 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -84,8 +84,6 @@ def build_md(m, blk, model_options,n_time_points) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') - # n_time_points = 1 - # Build the multiperiod object for MD blk.unit = MultiPeriodModel( n_time_points= n_time_points, @@ -96,7 +94,7 @@ def build_md(m, blk, model_options,n_time_points) -> None: outlvl=logging.WARNING, ) - # Converting to units L/h and supplying only value + # Converting to units L/h and supplying value only feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"], to_units=pyunits.L/pyunits.h)() @@ -121,7 +119,7 @@ def init_md(m, blk, model_options, verbose=True, solver=None): print(f"MD Degrees of Freedom: {degrees_of_freedom(blk)}") print("\n\n") - # Converting to units L/h and supplying only value + # Converting to units L/h and supplying value only feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"],to_units=pyunits.L/pyunits.h)() feed_salinity = m.fs.feed.properties[0.0].conc_mass_phase_comp["Liq","TDS"] # Converting temperature to C units @@ -129,7 +127,7 @@ def init_md(m, blk, model_options, verbose=True, solver=None): add_performance_constraints(m,blk.unit,model_options) - iscale.calculate_scaling_factors(blk.unit) + # iscale.calculate_scaling_factors(blk.unit) solver = get_solver() active_blks = blk.unit.get_active_process_blocks() for active in active_blks: @@ -176,11 +174,16 @@ def set_md_op_conditions(blk): def set_system_conditions(blk, model_options): + """ + This function defines the feed conditions to the system + """ + feed_flow_rate = model_options['feed_flow_rate']*pyunits.L/pyunits.h feed_salinity = model_options['feed_salinity']*pyunits.g/pyunits.L feed_temp = model_options['feed_temp'] - flow_mass_in = pyunits.convert(feed_flow_rate, to_units=pyunits.m**3/pyunits.s)*1000*pyunits.kg/pyunits.m**3 + # Converting feed flow rate to mass basis + flow_mass_in = pyunits.convert(feed_flow_rate, to_units=pyunits.m**3/pyunits.s)*997*pyunits.kg/pyunits.m**3 feed_salinity_in = pyunits.convert(feed_salinity*feed_flow_rate, to_units=pyunits.kg/pyunits.s) print(feed_salinity(),feed_salinity_in()) @@ -204,7 +207,7 @@ def set_system_output(blk,n_time_points,model_options): # L/h -> converted to kg/s permeate_production_rate = num_modules*value(active_blks[-1].fs.acc_distillate_volume) / ( value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600)*pyunits.L/pyunits.h - permeate_production_mass_rate = pyunits.convert(permeate_production_rate, pyunits.m**3/pyunits.s) *1000*pyunits.kg/pyunits.m**3 + permeate_production_mass_rate = pyunits.convert(permeate_production_rate, pyunits.m**3/pyunits.s) *997*pyunits.kg/pyunits.m**3 # TODO: Calculate temperature @@ -325,6 +328,17 @@ def add_md_costing(m, blk): ) ) + m.fs.costing.total_investment_factor.fix(1) + m.fs.costing.maintenance_labor_chemical_factor.fix(0) + m.fs.costing.capital_recovery_factor.fix(0.08764) + m.fs.costing.wacc.unfix() + + m.fs.costing.cost_process() + + active_blks = m.fs.md.unit.get_active_process_blocks() + m.fs.costing.add_annual_water_production(active_blks[-1].fs.vagmd.system_capacity) + m.fs.costing.add_LCOW(active_blks[-1].fs.vagmd.system_capacity) + def solve(model, solver=None, tee=True, raise_on_failure=True): @@ -348,6 +362,46 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): return results +def report_MD(m, stream_table=False): + print(f"\n\n-------------------- MD Report --------------------\n") + print("\n") + + active_blks = m.fs.md.unit.get_active_process_blocks() + + print( + f'{"Inlet Flow Volume":<30s}{value(active_blks[0].fs.vagmd.feed_props[0].flow_vol_phase["Liq"]):<10.3f}{pyunits.get_units(active_blks[0].fs.vagmd.feed_props[0].flow_vol_phase["Liq"])}' + ) + + print( + f'{"Feed Flow Volume":<30s}{value(m.fs.feed.properties[0].flow_mass_phase_comp["Liq","H2O"]):<10.3f}{pyunits.get_units(m.fs.feed.properties[0].flow_mass_phase_comp["Liq","H2O"])}' + ) + + print( + f'{"Product Flow Volume":<30s}{value(m.fs.product.properties[0].flow_mass_phase_comp["Liq","H2O"]):<10.3f}{pyunits.get_units(m.fs.product.properties[0].flow_mass_phase_comp["Liq","H2O"])}' + ) + + print( + f'{"Disposal Flow Volume":<30s}{value(m.fs.disposal.properties[0].flow_mass_phase_comp["Liq","H2O"]):<10.3f}{pyunits.get_units(m.fs.disposal.properties[0].flow_mass_phase_comp["Liq","H2O"])}' + ) + + # print(f'{"UF Performance:":<30s}') + # print( + # f'{" Recovery":<30s}{100*m.fs.UF.unit.recovery_frac_mass_H2O[0.0].value:<10.1f}{"%"}' + # ) + # print( + # f'{" TDS Removal":<30s}{100*m.fs.UF.unit.removal_frac_mass_comp[0.0,"tds"].value:<10.1f}{"%"}' + # ) + # print( + # f'{" TSS Removal":<30s}{100*m.fs.UF.unit.removal_frac_mass_comp[0.0,"tss"].value:<10.1f}{"%"}' + # ) + # print( + # f'{" Energy Consumption":<30s}{m.fs.UF.unit.electricity[0.0].value:<10.3f}{pyunits.get_units(m.fs.UF.unit.electricity[0.0])}' + # ) + # print( + # f'{" Specific Energy Cons.":<30s}{value(m.fs.UF.unit.energy_electric_flow_vol_inlet):<10.3f}{pyunits.get_units(m.fs.UF.unit.energy_electric_flow_vol_inlet)}' + # ) + + if __name__ == "__main__": @@ -401,17 +455,6 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - m.fs.costing.total_investment_factor.fix(1) - m.fs.costing.maintenance_labor_chemical_factor.fix(0) - m.fs.costing.capital_recovery_factor.fix(0.08764) - m.fs.costing.wacc.unfix() - - m.fs.costing.cost_process() - - active_blks = m.fs.md.unit.get_active_process_blocks() - m.fs.costing.add_annual_water_production(active_blks[-1].fs.vagmd.system_capacity) - m.fs.costing.add_LCOW(active_blks[-1].fs.vagmd.system_capacity) - # assert degrees_of_freedom(m) == 0 print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") results = solver.solve(m) @@ -420,26 +463,6 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): print("Overall LCOW ($/m3): ", value(m.fs.costing.LCOW)) print('Calculate n_time points', n_time_points_check) + report_MD(m) + -# def report_UF(m, blk, stream_table=False): -# print(f"\n\n-------------------- UF Report --------------------\n") -# print("\n") -# print( -# f'{"Inlet Flow Volume":<30s}{value(m.fs.UF.feed.properties[0.0].flow_vol):<10.3f}{pyunits.get_units(m.fs.UF.feed.properties[0.0].flow_vol)}' -# ) -# print(f'{"UF Performance:":<30s}') -# print( -# f'{" Recovery":<30s}{100*m.fs.UF.unit.recovery_frac_mass_H2O[0.0].value:<10.1f}{"%"}' -# ) -# print( -# f'{" TDS Removal":<30s}{100*m.fs.UF.unit.removal_frac_mass_comp[0.0,"tds"].value:<10.1f}{"%"}' -# ) -# print( -# f'{" TSS Removal":<30s}{100*m.fs.UF.unit.removal_frac_mass_comp[0.0,"tss"].value:<10.1f}{"%"}' -# ) -# print( -# f'{" Energy Consumption":<30s}{m.fs.UF.unit.electricity[0.0].value:<10.3f}{pyunits.get_units(m.fs.UF.unit.electricity[0.0])}' -# ) -# print( -# f'{" Specific Energy Cons.":<30s}{value(m.fs.UF.unit.energy_electric_flow_vol_inlet):<10.3f}{pyunits.get_units(m.fs.UF.unit.energy_electric_flow_vol_inlet)}' -# ) \ No newline at end of file From ca03d1cbf4d0d7465778b60b6f520d0b0f963882 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 23 Sep 2024 10:48:16 -0600 Subject: [PATCH 004/116] Updates to report --- .../reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py | 3 ++- .../reflo/analysis/case_studies/KBHDP/components/MD.py | 6 +++++- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 04e306f2..538d18d9 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -57,7 +57,8 @@ from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel -# TODO: Add translator block after +# TODO: Add translator block after feed block +# TODO: Add opex calculator at each time step and capex on the last time step # __all__ = [ # "build_system", diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 2f4181aa..d92bb46d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -369,7 +369,11 @@ def report_MD(m, stream_table=False): active_blks = m.fs.md.unit.get_active_process_blocks() print( - f'{"Inlet Flow Volume":<30s}{value(active_blks[0].fs.vagmd.feed_props[0].flow_vol_phase["Liq"]):<10.3f}{pyunits.get_units(active_blks[0].fs.vagmd.feed_props[0].flow_vol_phase["Liq"])}' + 'Number of modules:', value(active_blks[-1].fs.vagmd.num_modules) + ) + + print( + f'{"Inlet Flow Volume":<30s}{value(active_blks[-1].fs.vagmd.feed_props[0].flow_vol_phase["Liq"]):<10.3f}{pyunits.get_units(active_blks[-1].fs.vagmd.feed_props[0].flow_vol_phase["Liq"])}' ) print( From b61a1526dbf0e2854fbfc9d2a55fd9dc4926031b Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Tue, 1 Oct 2024 16:35:05 -0600 Subject: [PATCH 005/116] MD component file solving only MD model-removed ports --- .../case_studies/KBHDP/components/MD.py | 162 +++++++----------- 1 file changed, 58 insertions(+), 104 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index d92bb46d..dd113df5 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -68,11 +68,6 @@ def build_system(model_options,n_time_points): # Property package m.fs.params = SeawaterParameterBlock() - # Create Streams - m.fs.feed = Feed(property_package = m.fs.params) - m.fs.product = Product(property_package = m.fs.params) - m.fs.disposal = Product(property_package = m.fs.params) - # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) build_md(m, m.fs.md,model_options,n_time_points) @@ -84,6 +79,7 @@ def build_md(m, blk, model_options,n_time_points) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') + # Build the multiperiod object for MD blk.unit = MultiPeriodModel( n_time_points= n_time_points, @@ -95,8 +91,7 @@ def build_md(m, blk, model_options,n_time_points) -> None: ) # Converting to units L/h and supplying value only - feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"], - to_units=pyunits.L/pyunits.h)() + feed_flow_rate = model_options['feed_flow_rate'] # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) blk.unit.build_multi_period_model( @@ -120,10 +115,10 @@ def init_md(m, blk, model_options, verbose=True, solver=None): print("\n\n") # Converting to units L/h and supplying value only - feed_flow_rate = pyunits.convert(m.fs.feed.properties[0.0].flow_vol_phase["Liq"],to_units=pyunits.L/pyunits.h)() - feed_salinity = m.fs.feed.properties[0.0].conc_mass_phase_comp["Liq","TDS"] + feed_flow_rate = model_options['feed_flow_rate'] + feed_salinity = model_options['feed_salinity'] # Converting temperature to C units - feed_temp = m.fs.feed.properties[0.0].temperature() - 273.15 + feed_temp = model_options['feed_temp'] add_performance_constraints(m,blk.unit,model_options) @@ -140,8 +135,6 @@ def init_md(m, blk, model_options, verbose=True, solver=None): result = solver.solve(active) unfix_dof(m=active, feed_flow_rate=feed_flow_rate) - m.fs.product.initialize(optarg=optarg) - m.fs.disposal.initialize(optarg=optarg) def set_md_op_conditions(blk): @@ -149,19 +142,19 @@ def set_md_op_conditions(blk): active_blks = blk.unit.get_active_process_blocks() # Set-up for the first time period - feed_salinity = m.fs.feed.properties[0.0].conc_mass_phase_comp["Liq","TDS"] - feed_temp = m.fs.feed.properties[0.0].temperature() + feed_salinity = model_options['feed_salinity'] + feed_temp = model_options['feed_temp'] print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") - print('Feed salinity in g/l:',feed_salinity()) - print('Feed temperature in C:', feed_temp-273.15) + print('Feed salinity in g/l:',feed_salinity) + print('Feed temperature in C:', feed_temp) active_blks[0].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"].fix( feed_salinity ) - active_blks[0].fs.vagmd.feed_props[0].temperature.fix(feed_temp) + active_blks[0].fs.vagmd.feed_props[0].temperature.fix(feed_temp + 273.15) active_blks[0].fs.acc_distillate_volume.fix(0) - active_blks[0].fs.pre_feed_temperature.fix(feed_temp) + active_blks[0].fs.pre_feed_temperature.fix(feed_temp + 273.15) active_blks[0].fs.pre_permeate_flow_rate.fix(0) active_blks[0].fs.acc_thermal_energy.fix(0) active_blks[0].fs.pre_thermal_power.fix(0) @@ -172,33 +165,9 @@ def set_md_op_conditions(blk): active_blks[0].fs.pre_feed_pump_power_elec.fix(0) -def set_system_conditions(blk, model_options): - - """ - This function defines the feed conditions to the system - """ - - feed_flow_rate = model_options['feed_flow_rate']*pyunits.L/pyunits.h - feed_salinity = model_options['feed_salinity']*pyunits.g/pyunits.L - feed_temp = model_options['feed_temp'] - - # Converting feed flow rate to mass basis - flow_mass_in = pyunits.convert(feed_flow_rate, to_units=pyunits.m**3/pyunits.s)*997*pyunits.kg/pyunits.m**3 - feed_salinity_in = pyunits.convert(feed_salinity*feed_flow_rate, to_units=pyunits.kg/pyunits.s) - print(feed_salinity(),feed_salinity_in()) - - blk.feed.properties[0.0].flow_mass_phase_comp["Liq","H2O"].fix(flow_mass_in) - blk.feed.properties[0.0].flow_mass_phase_comp["Liq","TDS"].fix(feed_salinity_in) - blk.feed.properties[0.0].temperature.fix(pyunits.convert_temp_C_to_K(feed_temp)) - blk.feed.properties[0.0].conc_mass_phase_comp["Liq","TDS"] +def system_output(blk,n_time_points,model_options): - solver = get_solver() - optarg = solver.options - blk.feed.initialize(optarg=optarg) - - -def set_system_output(blk,n_time_points,model_options): active_blks = blk.md.unit.get_active_process_blocks() # Get final variables @@ -207,24 +176,19 @@ def set_system_output(blk,n_time_points,model_options): # L/h -> converted to kg/s permeate_production_rate = num_modules*value(active_blks[-1].fs.acc_distillate_volume) / ( value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600)*pyunits.L/pyunits.h - permeate_production_mass_rate = pyunits.convert(permeate_production_rate, pyunits.m**3/pyunits.s) *997*pyunits.kg/pyunits.m**3 - - # TODO: Calculate temperature - - blk.product.properties[0].flow_mass_phase_comp['Liq','H2O'].fix(permeate_production_mass_rate) - blk.product.properties[0].flow_mass_phase_comp["Liq","TDS"].fix(0) - blk.product.properties[0].temperature.fix() + permeate_flow_rate = pyunits.convert(permeate_production_rate, pyunits.m**3/pyunits.day) # L/h -> converted to kg/s brine_production_rate = num_modules*model_options['initial_batch_volume']*(1-acc_recovery)/( value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600)*pyunits.L/pyunits.h - brine_production_mass_rate = pyunits.convert(brine_production_rate, pyunits.m**3/pyunits.s) *1000*pyunits.kg/pyunits.m**3 + brine_flow_rate = pyunits.convert(brine_production_rate, pyunits.m**3/pyunits.day) + + brine_salinity = pyunits.convert(active_blks[-1].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"],to_units=pyunits.kg/pyunits.m**3) - brine_salinity = brine_production_rate*pyunits.convert(active_blks[-1].fs.pre_feed_salinity,to_units=pyunits.kg/pyunits.m**3) - blk.disposal.properties[0].flow_mass_phase_comp['Liq','H2O'].fix(brine_production_mass_rate) - blk.disposal.properties[0].flow_mass_phase_comp["Liq","TDS"].fix(brine_salinity) - blk.disposal.properties[0].temperature.fix() + + return permeate_flow_rate,brine_flow_rate,brine_salinity + def add_performance_constraints(m,blk,model_options): @@ -373,52 +337,29 @@ def report_MD(m, stream_table=False): ) print( - f'{"Inlet Flow Volume":<30s}{value(active_blks[-1].fs.vagmd.feed_props[0].flow_vol_phase["Liq"]):<10.3f}{pyunits.get_units(active_blks[-1].fs.vagmd.feed_props[0].flow_vol_phase["Liq"])}' - ) - - print( - f'{"Feed Flow Volume":<30s}{value(m.fs.feed.properties[0].flow_mass_phase_comp["Liq","H2O"]):<10.3f}{pyunits.get_units(m.fs.feed.properties[0].flow_mass_phase_comp["Liq","H2O"])}' + f'{"Inlet Flow Volume":<30s}{value(active_blks[0].fs.vagmd.feed_props[0].flow_vol_phase["Liq"]):<10.5f}{pyunits.get_units(active_blks[-1].fs.vagmd.feed_props[0].flow_vol_phase["Liq"])}' ) - print( - f'{"Product Flow Volume":<30s}{value(m.fs.product.properties[0].flow_mass_phase_comp["Liq","H2O"]):<10.3f}{pyunits.get_units(m.fs.product.properties[0].flow_mass_phase_comp["Liq","H2O"])}' - ) - print( - f'{"Disposal Flow Volume":<30s}{value(m.fs.disposal.properties[0].flow_mass_phase_comp["Liq","H2O"]):<10.3f}{pyunits.get_units(m.fs.disposal.properties[0].flow_mass_phase_comp["Liq","H2O"])}' - ) - - # print(f'{"UF Performance:":<30s}') - # print( - # f'{" Recovery":<30s}{100*m.fs.UF.unit.recovery_frac_mass_H2O[0.0].value:<10.1f}{"%"}' - # ) - # print( - # f'{" TDS Removal":<30s}{100*m.fs.UF.unit.removal_frac_mass_comp[0.0,"tds"].value:<10.1f}{"%"}' - # ) - # print( - # f'{" TSS Removal":<30s}{100*m.fs.UF.unit.removal_frac_mass_comp[0.0,"tss"].value:<10.1f}{"%"}' - # ) - # print( - # f'{" Energy Consumption":<30s}{m.fs.UF.unit.electricity[0.0].value:<10.3f}{pyunits.get_units(m.fs.UF.unit.electricity[0.0])}' - # ) - # print( - # f'{" Specific Energy Cons.":<30s}{value(m.fs.UF.unit.energy_electric_flow_vol_inlet):<10.3f}{pyunits.get_units(m.fs.UF.unit.energy_electric_flow_vol_inlet)}' - # ) +if __name__ == "__main__": + Qin = 4 * pyunits.Mgal / pyunits.day + Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) -if __name__ == "__main__": + overall_recovery = 0.45 + system_capacity = overall_recovery*Qin model_options = { "dt": None, - "system_capacity": 1000, - "feed_flow_rate": 600, # L/h + "system_capacity": system_capacity, # m3/day + "feed_flow_rate": 750, # L/h "evap_inlet_temp": 80, - "cond_inlet_temp": 25, - "feed_temp": 50, - "feed_salinity": 35, + "cond_inlet_temp": 30, + "feed_temp": 30, + "feed_salinity": 12, "initial_batch_volume": 50, #L - "module_type": "AS7C1.5L", + "module_type": "AS26C7.2L", "cooling_system_type": "closed", "cooling_inlet_temp": 25, } @@ -431,24 +372,22 @@ def report_MD(m, stream_table=False): cond_inlet_temp=model_options['cond_inlet_temp'], feed_temp=model_options['feed_temp'], feed_salinity=model_options['feed_salinity'], - recovery_ratio= 0.5, + recovery_ratio= overall_recovery, initial_batch_volume=model_options['initial_batch_volume'], module_type=model_options['module_type'], cooling_system_type=model_options['cooling_system_type'], cooling_inlet_temp=model_options['cooling_inlet_temp'], ) - + - n_time_points = 3 + # n_time_points = 2 + n_time_points = n_time_points_check m = build_system(model_options,n_time_points) - set_system_conditions(m.fs,model_options) - init_md(m, m.fs.md, model_options) - add_md_costing(m, m.fs.md.unit) - set_md_op_conditions(m.fs.md) + add_md_costing(m, m.fs.md.unit) solver = get_solver() try: @@ -456,17 +395,32 @@ def report_MD(m, stream_table=False): except ValueError: m.fs.md.unit.active_blocks[0].fs.vagmd.display() # print_infeasible_constraints(m) - - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - # assert degrees_of_freedom(m) == 0 + assert degrees_of_freedom(m) == 0 print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") results = solver.solve(m) - set_system_output(m.fs,n_time_points,model_options) - print("Overall LCOW ($/m3): ", value(m.fs.costing.LCOW)) - print('Calculate n_time points', n_time_points_check) + active_blks = m.fs.md.unit.get_active_process_blocks() + + permeate_flow_rate,brine_flow_rate,brine_salinity = system_output(m.fs,n_time_points,model_options) + print("\nOverall LCOW ($/m3): ", value(m.fs.costing.LCOW)) + + print('\nCalculate n_time points', n_time_points) + print('Time step duration:', value(active_blks[0].fs.dt),pyunits.get_units(active_blks[0].fs.dt)) + + batch_duration = n_time_points*active_blks[0].fs.dt + print('Batch duration:', value(batch_duration),pyunits.get_units(batch_duration)) + no_of_batches = 24*pyunits.h/pyunits.convert(batch_duration,to_units=pyunits.h) + print('Number of batches in 24h:', value(no_of_batches)) + + print('Calculated number of modules:',value(active_blks[-1].fs.vagmd.num_modules)) + print('Actual number of modules:', value(active_blks[-1].fs.vagmd.num_modules)/value(no_of_batches)) + + print('\nSystem Capacity:', value(system_capacity),pyunits.get_units(system_capacity)) + print('Permeate mass flow:', value(permeate_flow_rate),pyunits.get_units(permeate_flow_rate)) + print('Brine mass flow rate:',value(brine_flow_rate),pyunits.get_units(brine_flow_rate)) + print('Brine salinity:',value(brine_salinity),pyunits.get_units(brine_salinity)) + print('Accumulate recovery ratio:',value(active_blks[-1].fs.acc_recovery_ratio)) - report_MD(m) From d241d00aefd869f502752dc5cfa7c9c0a3fd912d Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Tue, 1 Oct 2024 16:36:38 -0600 Subject: [PATCH 006/116] black --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 28 ++- .../case_studies/KBHDP/components/MD.py | 177 ++++++++++-------- 2 files changed, 112 insertions(+), 93 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 538d18d9..c9156049 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -232,13 +232,12 @@ def add_constraints(m): def add_costing(m): - + m.fs.costing.cost_process() m.fs.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) m.fs.costing.add_LCOW(m.fs.product.properties[0].flow_vol) - def set_inlet_conditions( m, Qin=4, @@ -250,7 +249,7 @@ def set_inlet_conditions( feed_temperature = 293 Qin = Qin * pyunits.Mgal / pyunits.day - flow_in = pyunits.convert(Qin, to_units=pyunits.m**3/pyunits.s) + flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) rho = 1000 * pyunits.kg / pyunits.m**3 flow_mass_phase_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) @@ -269,13 +268,17 @@ def set_inlet_conditions( ("flow_vol_phase", "Liq"): value(flow_in), ("pressure", None): 101325, ("temperature", None): 298, - } - + } + for solute, solute_conc in inlet_dict.items(): calc_state_dict[("conc_mass_phase_comp", ("Liq", solute))] = solute_conc - flow_mass_solute = pyunits.convert(flow_in * solute_conc, to_units=pyunits.kg / pyunits.s) + flow_mass_solute = pyunits.convert( + flow_in * solute_conc, to_units=pyunits.kg / pyunits.s + ) sf = 1 / value(flow_mass_solute) - m.fs.feed.properties[0].flow_mass_phase_comp["Liq", solute].set_value(flow_mass_solute) + m.fs.feed.properties[0].flow_mass_phase_comp["Liq", solute].set_value( + flow_mass_solute + ) m.fs.MCAS_properties.set_default_scaling( "flow_mass_phase_comp", sf, @@ -299,13 +302,9 @@ def set_inlet_conditions( ) calculate_scaling_factors(m) - m.fs.feed.properties.calculate_state( - var_args=calc_state_dict, hold_state=True - ) + m.fs.feed.properties.calculate_state(var_args=calc_state_dict, hold_state=True) calculate_scaling_factors(m) - - # # initialize feed m.fs.feed.pressure[0].fix(supply_pressure) m.fs.feed.temperature[0].fix(feed_temperature) @@ -355,7 +354,7 @@ def init_system(m, verbose=True, solver=None): # propagate_state(m.fs.translator_to_pump) # m.fs.pump.initialize() - + # propagate_state(m.fs.pump_to_ro) propagate_state(m.fs.translator_to_ro) print("got here") @@ -478,7 +477,6 @@ def display_costing_breakdown(m): # m.fs.costing.lime.cost.set_value(0) # m.fs.costing.chemical_softening.lime_feed_system_op_coeff.set_value(0) results = solver.solve(m) - # ro = m.fs.RO.stage[1].module @@ -488,4 +486,4 @@ def display_costing_breakdown(m): print(f"termination {results.solver.termination_condition}") # print(f"LCOW = {m.fs.costing.LCOW()}") # TODO Add costing to the system -# TODO Use case study input values \ No newline at end of file +# TODO Use case study input values diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index dd113df5..b1b531d4 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -55,34 +55,33 @@ from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet_multiperiod import ( get_vagmd_batch_variable_pairs, - unfix_dof + unfix_dof, ) from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel -def build_system(model_options,n_time_points): +def build_system(model_options, n_time_points): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) - + # Property package m.fs.params = SeawaterParameterBlock() # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) - build_md(m, m.fs.md,model_options,n_time_points) + build_md(m, m.fs.md, model_options, n_time_points) return m -def build_md(m, blk, model_options,n_time_points) -> None: +def build_md(m, blk, model_options, n_time_points) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') - # Build the multiperiod object for MD blk.unit = MultiPeriodModel( - n_time_points= n_time_points, + n_time_points=n_time_points, process_model_func=build_vagmd_flowsheet, linking_variable_func=get_vagmd_batch_variable_pairs, initialization_func=fix_dof_and_initialize, @@ -91,7 +90,7 @@ def build_md(m, blk, model_options,n_time_points) -> None: ) # Converting to units L/h and supplying value only - feed_flow_rate = model_options['feed_flow_rate'] + feed_flow_rate = model_options["feed_flow_rate"] # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) blk.unit.build_multi_period_model( @@ -115,12 +114,12 @@ def init_md(m, blk, model_options, verbose=True, solver=None): print("\n\n") # Converting to units L/h and supplying value only - feed_flow_rate = model_options['feed_flow_rate'] - feed_salinity = model_options['feed_salinity'] + feed_flow_rate = model_options["feed_flow_rate"] + feed_salinity = model_options["feed_salinity"] # Converting temperature to C units - feed_temp = model_options['feed_temp'] + feed_temp = model_options["feed_temp"] - add_performance_constraints(m,blk.unit,model_options) + add_performance_constraints(m, blk.unit, model_options) # iscale.calculate_scaling_factors(blk.unit) solver = get_solver() @@ -136,18 +135,17 @@ def init_md(m, blk, model_options, verbose=True, solver=None): unfix_dof(m=active, feed_flow_rate=feed_flow_rate) - def set_md_op_conditions(blk): active_blks = blk.unit.get_active_process_blocks() # Set-up for the first time period - feed_salinity = model_options['feed_salinity'] - feed_temp = model_options['feed_temp'] + feed_salinity = model_options["feed_salinity"] + feed_temp = model_options["feed_temp"] print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") - print('Feed salinity in g/l:',feed_salinity) - print('Feed temperature in C:', feed_temp) + print("Feed salinity in g/l:", feed_salinity) + print("Feed temperature in C:", feed_temp) active_blks[0].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"].fix( feed_salinity @@ -165,8 +163,7 @@ def set_md_op_conditions(blk): active_blks[0].fs.pre_feed_pump_power_elec.fix(0) - -def system_output(blk,n_time_points,model_options): +def system_output(blk, n_time_points, model_options): active_blks = blk.md.unit.get_active_process_blocks() @@ -174,27 +171,42 @@ def system_output(blk,n_time_points,model_options): num_modules = active_blks[-1].fs.vagmd.num_modules acc_recovery = active_blks[-1].fs.acc_recovery_ratio # L/h -> converted to kg/s - permeate_production_rate = num_modules*value(active_blks[-1].fs.acc_distillate_volume) / ( - value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600)*pyunits.L/pyunits.h - permeate_flow_rate = pyunits.convert(permeate_production_rate, pyunits.m**3/pyunits.day) + permeate_production_rate = ( + num_modules + * value(active_blks[-1].fs.acc_distillate_volume) + / (value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600) + * pyunits.L + / pyunits.h + ) + permeate_flow_rate = pyunits.convert( + permeate_production_rate, pyunits.m**3 / pyunits.day + ) # L/h -> converted to kg/s - brine_production_rate = num_modules*model_options['initial_batch_volume']*(1-acc_recovery)/( - value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600)*pyunits.L/pyunits.h + brine_production_rate = ( + num_modules + * model_options["initial_batch_volume"] + * (1 - acc_recovery) + / (value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600) + * pyunits.L + / pyunits.h + ) + + brine_flow_rate = pyunits.convert(brine_production_rate, pyunits.m**3 / pyunits.day) - brine_flow_rate = pyunits.convert(brine_production_rate, pyunits.m**3/pyunits.day) - - brine_salinity = pyunits.convert(active_blks[-1].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"],to_units=pyunits.kg/pyunits.m**3) - + brine_salinity = pyunits.convert( + active_blks[-1].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"], + to_units=pyunits.kg / pyunits.m**3, + ) + + return permeate_flow_rate, brine_flow_rate, brine_salinity - return permeate_flow_rate,brine_flow_rate,brine_salinity +def add_performance_constraints(m, blk, model_options): -def add_performance_constraints(m,blk,model_options): - # Create accumlative energy terms blk.system_capacity = Var( - initialize=model_options['system_capacity'], + initialize=model_options["system_capacity"], bounds=(0, None), units=pyunits.m**3 / pyunits.day, doc="System capacity (m3/day)", @@ -258,9 +270,7 @@ def add_md_costing(m, blk): blk.system_capacity.fix() # Specify the last time step vagmd = blk.get_active_process_blocks()[-1].fs.vagmd - vagmd.costing = UnitModelCostingBlock( - flowsheet_costing_block=m.fs.costing - ) + vagmd.costing = UnitModelCostingBlock(flowsheet_costing_block=m.fs.costing) # Overwrite the thermal and electric energy flow with the accumulated values vagmd.costing.costing_package.cost_flow( @@ -304,7 +314,6 @@ def add_md_costing(m, blk): m.fs.costing.add_LCOW(active_blks[-1].fs.vagmd.system_capacity) - def solve(model, solver=None, tee=True, raise_on_failure=True): # ---solving--- if solver is None: @@ -332,33 +341,30 @@ def report_MD(m, stream_table=False): active_blks = m.fs.md.unit.get_active_process_blocks() - print( - 'Number of modules:', value(active_blks[-1].fs.vagmd.num_modules) - ) + print("Number of modules:", value(active_blks[-1].fs.vagmd.num_modules)) print( f'{"Inlet Flow Volume":<30s}{value(active_blks[0].fs.vagmd.feed_props[0].flow_vol_phase["Liq"]):<10.5f}{pyunits.get_units(active_blks[-1].fs.vagmd.feed_props[0].flow_vol_phase["Liq"])}' ) - if __name__ == "__main__": Qin = 4 * pyunits.Mgal / pyunits.day Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) overall_recovery = 0.45 - system_capacity = overall_recovery*Qin + system_capacity = overall_recovery * Qin model_options = { "dt": None, - "system_capacity": system_capacity, # m3/day - "feed_flow_rate": 750, # L/h + "system_capacity": system_capacity, # m3/day + "feed_flow_rate": 750, # L/h "evap_inlet_temp": 80, "cond_inlet_temp": 30, "feed_temp": 30, "feed_salinity": 12, - "initial_batch_volume": 50, #L + "initial_batch_volume": 50, # L "module_type": "AS26C7.2L", "cooling_system_type": "closed", "cooling_inlet_temp": 25, @@ -366,25 +372,24 @@ def report_MD(m, stream_table=False): # Calculate the number of periods to reach target recovery rate by solving the system first n_time_points_check = get_n_time_points( - dt=model_options['dt'], - feed_flow_rate=model_options['feed_flow_rate'], - evap_inlet_temp=model_options['evap_inlet_temp'], - cond_inlet_temp=model_options['cond_inlet_temp'], - feed_temp=model_options['feed_temp'], - feed_salinity=model_options['feed_salinity'], - recovery_ratio= overall_recovery, - initial_batch_volume=model_options['initial_batch_volume'], - module_type=model_options['module_type'], - cooling_system_type=model_options['cooling_system_type'], - cooling_inlet_temp=model_options['cooling_inlet_temp'], - ) - - + dt=model_options["dt"], + feed_flow_rate=model_options["feed_flow_rate"], + evap_inlet_temp=model_options["evap_inlet_temp"], + cond_inlet_temp=model_options["cond_inlet_temp"], + feed_temp=model_options["feed_temp"], + feed_salinity=model_options["feed_salinity"], + recovery_ratio=overall_recovery, + initial_batch_volume=model_options["initial_batch_volume"], + module_type=model_options["module_type"], + cooling_system_type=model_options["cooling_system_type"], + cooling_inlet_temp=model_options["cooling_inlet_temp"], + ) + # n_time_points = 2 n_time_points = n_time_points_check - m = build_system(model_options,n_time_points) - + m = build_system(model_options, n_time_points) + init_md(m, m.fs.md, model_options) set_md_op_conditions(m.fs.md) add_md_costing(m, m.fs.md.unit) @@ -401,26 +406,42 @@ def report_MD(m, stream_table=False): results = solver.solve(m) active_blks = m.fs.md.unit.get_active_process_blocks() - - permeate_flow_rate,brine_flow_rate,brine_salinity = system_output(m.fs,n_time_points,model_options) - print("\nOverall LCOW ($/m3): ", value(m.fs.costing.LCOW)) - - print('\nCalculate n_time points', n_time_points) - print('Time step duration:', value(active_blks[0].fs.dt),pyunits.get_units(active_blks[0].fs.dt)) - - batch_duration = n_time_points*active_blks[0].fs.dt - print('Batch duration:', value(batch_duration),pyunits.get_units(batch_duration)) - no_of_batches = 24*pyunits.h/pyunits.convert(batch_duration,to_units=pyunits.h) - print('Number of batches in 24h:', value(no_of_batches)) - print('Calculated number of modules:',value(active_blks[-1].fs.vagmd.num_modules)) - print('Actual number of modules:', value(active_blks[-1].fs.vagmd.num_modules)/value(no_of_batches)) + permeate_flow_rate, brine_flow_rate, brine_salinity = system_output( + m.fs, n_time_points, model_options + ) + print("\nOverall LCOW ($/m3): ", value(m.fs.costing.LCOW)) - print('\nSystem Capacity:', value(system_capacity),pyunits.get_units(system_capacity)) - print('Permeate mass flow:', value(permeate_flow_rate),pyunits.get_units(permeate_flow_rate)) - print('Brine mass flow rate:',value(brine_flow_rate),pyunits.get_units(brine_flow_rate)) - print('Brine salinity:',value(brine_salinity),pyunits.get_units(brine_salinity)) - print('Accumulate recovery ratio:',value(active_blks[-1].fs.acc_recovery_ratio)) + print("\nCalculate n_time points", n_time_points) + print( + "Time step duration:", + value(active_blks[0].fs.dt), + pyunits.get_units(active_blks[0].fs.dt), + ) + batch_duration = n_time_points * active_blks[0].fs.dt + print("Batch duration:", value(batch_duration), pyunits.get_units(batch_duration)) + no_of_batches = 24 * pyunits.h / pyunits.convert(batch_duration, to_units=pyunits.h) + print("Number of batches in 24h:", value(no_of_batches)) + print("Calculated number of modules:", value(active_blks[-1].fs.vagmd.num_modules)) + print( + "Actual number of modules:", + value(active_blks[-1].fs.vagmd.num_modules) / value(no_of_batches), + ) + print( + "\nSystem Capacity:", value(system_capacity), pyunits.get_units(system_capacity) + ) + print( + "Permeate mass flow:", + value(permeate_flow_rate), + pyunits.get_units(permeate_flow_rate), + ) + print( + "Brine mass flow rate:", + value(brine_flow_rate), + pyunits.get_units(brine_flow_rate), + ) + print("Brine salinity:", value(brine_salinity), pyunits.get_units(brine_salinity)) + print("Accumulate recovery ratio:", value(active_blks[-1].fs.acc_recovery_ratio)) From 246b1e0e185fccdaddd6525f9f99aeeb706d9e16 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Tue, 1 Oct 2024 18:04:02 -0600 Subject: [PATCH 007/116] Check on distillate produced --- .../case_studies/KBHDP/components/MD.py | 32 +++++++++++++++---- 1 file changed, 26 insertions(+), 6 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index b1b531d4..562f39b9 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -350,7 +350,7 @@ def report_MD(m, stream_table=False): if __name__ == "__main__": - Qin = 4 * pyunits.Mgal / pyunits.day + Qin = 4 * pyunits.Mgal / pyunits.day # KBHDP flow rate Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) overall_recovery = 0.45 @@ -386,7 +386,7 @@ def report_MD(m, stream_table=False): ) # n_time_points = 2 - n_time_points = n_time_points_check + n_time_points = n_time_points_check + 1 m = build_system(model_options, n_time_points) @@ -425,10 +425,6 @@ def report_MD(m, stream_table=False): print("Number of batches in 24h:", value(no_of_batches)) print("Calculated number of modules:", value(active_blks[-1].fs.vagmd.num_modules)) - print( - "Actual number of modules:", - value(active_blks[-1].fs.vagmd.num_modules) / value(no_of_batches), - ) print( "\nSystem Capacity:", value(system_capacity), pyunits.get_units(system_capacity) @@ -445,3 +441,27 @@ def report_MD(m, stream_table=False): ) print("Brine salinity:", value(brine_salinity), pyunits.get_units(brine_salinity)) print("Accumulate recovery ratio:", value(active_blks[-1].fs.acc_recovery_ratio)) + + print( + "Accumulate distillate volume by 1 module in 1 batch:", + value(active_blks[-1].fs.acc_distillate_volume), + pyunits.get_units(active_blks[-1].fs.acc_distillate_volume), + ) + print( + "Total accumulate Distillate Volume by all modules in 1 batch:", + value(active_blks[-1].fs.vagmd.num_modules) + * value(active_blks[-1].fs.acc_distillate_volume), + pyunits.get_units(active_blks[-1].fs.acc_distillate_volume), + ) + + total_distillate_check = ( + pyunits.convert(active_blks[-1].fs.acc_distillate_volume, to_units=pyunits.m**3) + * value(active_blks[-1].fs.vagmd.num_modules) + * no_of_batches + ) + + print( + "Check on total distillate produced:", + value(total_distillate_check), + pyunits.get_units(total_distillate_check), + ) From 7b9543aa19b6ddd96e11df7666018ed8a8108c60 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 3 Oct 2024 12:27:00 -0600 Subject: [PATCH 008/116] added feed state junction --- .../case_studies/KBHDP/components/MD.py | 130 ++++++++++++++---- 1 file changed, 100 insertions(+), 30 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 562f39b9..047610c4 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -61,6 +61,10 @@ from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel +def propagate_state(arc): + _prop_state(arc) + + def build_system(model_options, n_time_points): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) @@ -68,17 +72,34 @@ def build_system(model_options, n_time_points): # Property package m.fs.params = SeawaterParameterBlock() + # Create feed, product and concentrate state blocks + m.fs.feed = Feed(property_package=m.fs.params) + # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) build_md(m, m.fs.md, model_options, n_time_points) + add_connections(m) + + TransformationFactory("network.expand_arcs").apply_to(m) return m +def add_connections(m): + + m.fs.feed_to_md = Arc( + source = m.fs.feed.outlet, + destination = m.fs.md.feed.inlet + ) + def build_md(m, blk, model_options, n_time_points) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') + # Build a feed, permeate and brine state function for MD + + blk.feed = StateJunction(property_package=m.fs.params) + # Build the multiperiod object for MD blk.unit = MultiPeriodModel( n_time_points=n_time_points, @@ -89,8 +110,19 @@ def build_md(m, blk, model_options, n_time_points) -> None: outlvl=logging.WARNING, ) - # Converting to units L/h and supplying value only - feed_flow_rate = model_options["feed_flow_rate"] + +def init_md(blk, model_options, verbose=True, solver=None): + m.fs.md.feed.properties[0]._flow_vol_phase() + m.fs.md.feed.properties[0]._conc_mass_phase_comp() + + m.fs.md.feed.initialize() + + feed_flow_rate = pyunits.convert( + m.fs.md.feed.properties[0].flow_vol_phase['Liq'], + to_units = pyunits.L/pyunits.h)() + + feed_salinity = m.fs.md.feed.properties[0].conc_mass_phase_comp['Liq','TDS']() + feed_temp = pyunits.convert_temp_K_to_C(m.fs.md.feed.properties[0].temperature()) # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) blk.unit.build_multi_period_model( @@ -99,8 +131,24 @@ def build_md(m, blk, model_options, n_time_points) -> None: unfix_dof_options={"feed_flow_rate": feed_flow_rate}, ) + add_performance_constraints(m, blk.unit, model_options) + + # iscale.calculate_scaling_factors(blk.unit) + solver = get_solver() + active_blks = blk.unit.get_active_process_blocks() + for active in active_blks: + fix_dof_and_initialize( + m=active, + feed_flow_rate=feed_flow_rate, + feed_salinity=feed_salinity, + feed_temp=feed_temp, + ) + result = solver.solve(active) + unfix_dof(m=active, feed_flow_rate=feed_flow_rate) + -def init_md(m, blk, model_options, verbose=True, solver=None): + +def init_system(m, blk, model_options, verbose=True, solver=None): if solver is None: solver = get_solver() @@ -113,37 +161,55 @@ def init_md(m, blk, model_options, verbose=True, solver=None): print(f"MD Degrees of Freedom: {degrees_of_freedom(blk)}") print("\n\n") - # Converting to units L/h and supplying value only + # # Converting to units L/h and supplying value only + # feed_flow_rate = model_options["feed_flow_rate"] + # feed_salinity = model_options["feed_salinity"] + # # Converting temperature to C units + # feed_temp = model_options["feed_temp"] + + m.fs.feed.initialize() + propagate_state(m.fs.feed_to_md) + + init_md(blk, model_options, verbose=True, solver=None) + + + +def set_system_op_conditions(blk, model_options): + feed_flow_rate = model_options["feed_flow_rate"] feed_salinity = model_options["feed_salinity"] - # Converting temperature to C units feed_temp = model_options["feed_temp"] - add_performance_constraints(m, blk.unit, model_options) - - # iscale.calculate_scaling_factors(blk.unit) - solver = get_solver() - active_blks = blk.unit.get_active_process_blocks() - for active in active_blks: - fix_dof_and_initialize( - m=active, - feed_flow_rate=feed_flow_rate, - feed_salinity=feed_salinity, - feed_temp=feed_temp, + blk.feed.properties.calculate_state( + var_args={ + ("flow_vol_phase", "Liq"): pyunits.convert( + feed_flow_rate* pyunits.L / pyunits.h, + to_units=pyunits.m**3 / pyunits.s, + ), + ("conc_mass_phase_comp", ("Liq", "TDS")): feed_salinity, + ("temperature", None): feed_temp + 273.15, + ("pressure", None): 101325, + }, + hold_state = True ) - result = solver.solve(active) - unfix_dof(m=active, feed_flow_rate=feed_flow_rate) - + def set_md_op_conditions(blk): active_blks = blk.unit.get_active_process_blocks() - # Set-up for the first time period - feed_salinity = model_options["feed_salinity"] - feed_temp = model_options["feed_temp"] + # # Set-up for the first time period + # feed_salinity = model_options["feed_salinity"] + # feed_temp = model_options["feed_temp"] + feed_flow_rate = pyunits.convert( + m.fs.md.feed.properties[0].flow_vol_phase['Liq'], + to_units = pyunits.L/pyunits.h)() + + feed_salinity = m.fs.md.feed.properties[0].conc_mass_phase_comp['Liq','TDS']() + feed_temp = pyunits.convert_temp_K_to_C(m.fs.md.feed.properties[0].temperature()) print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") + print('Feed flow rate in L/h:',feed_flow_rate) print("Feed salinity in g/l:", feed_salinity) print("Feed temperature in C:", feed_temp) @@ -385,13 +451,18 @@ def report_MD(m, stream_table=False): cooling_inlet_temp=model_options["cooling_inlet_temp"], ) - # n_time_points = 2 - n_time_points = n_time_points_check + 1 + n_time_points = 2 + # n_time_points = n_time_points_check + 1 m = build_system(model_options, n_time_points) - - init_md(m, m.fs.md, model_options) + print(f"\nBuild System:system Degrees of Freedom: {degrees_of_freedom(m)}") + set_system_op_conditions(m.fs, model_options) + print(f"\nSet inlet conditions:system Degrees of Freedom: {degrees_of_freedom(m)}") + init_system(m, m.fs.md, model_options) + print(f"\nInitialize MD:system Degrees of Freedom: {degrees_of_freedom(m)}") set_md_op_conditions(m.fs.md) + print(f"\nSet MD conditions:system Degrees of Freedom: {degrees_of_freedom(m)}") + add_md_costing(m, m.fs.md.unit) solver = get_solver() @@ -401,9 +472,8 @@ def report_MD(m, stream_table=False): m.fs.md.unit.active_blocks[0].fs.vagmd.display() # print_infeasible_constraints(m) - assert degrees_of_freedom(m) == 0 print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - results = solver.solve(m) + # assert degrees_of_freedom(m) == 0 active_blks = m.fs.md.unit.get_active_process_blocks() @@ -430,12 +500,12 @@ def report_MD(m, stream_table=False): "\nSystem Capacity:", value(system_capacity), pyunits.get_units(system_capacity) ) print( - "Permeate mass flow:", + "Permeate flow rate:", value(permeate_flow_rate), pyunits.get_units(permeate_flow_rate), ) print( - "Brine mass flow rate:", + "Brine flow rate:", value(brine_flow_rate), pyunits.get_units(brine_flow_rate), ) From 0be50945a6aeecc4e3a75a362220cfdcb532f469 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 3 Oct 2024 14:45:16 -0600 Subject: [PATCH 009/116] added product state junction --- .../case_studies/KBHDP/components/MD.py | 89 +++++++++++++++---- 1 file changed, 72 insertions(+), 17 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 047610c4..53c3e1c6 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -74,6 +74,8 @@ def build_system(model_options, n_time_points): # Create feed, product and concentrate state blocks m.fs.feed = Feed(property_package=m.fs.params) + m.fs.product = Product(property_package=m.fs.params) + # m.fs.waste = Product(property_package=m.fs.params) # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) @@ -92,6 +94,12 @@ def add_connections(m): ) + m.fs.md_to_product = Arc( + source = m.fs.md.permeate.outlet, + destination = m.fs.product.inlet + ) + + def build_md(m, blk, model_options, n_time_points) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') @@ -99,6 +107,8 @@ def build_md(m, blk, model_options, n_time_points) -> None: # Build a feed, permeate and brine state function for MD blk.feed = StateJunction(property_package=m.fs.params) + blk.permeate = StateJunction(property_package=m.fs.params) + # blk.concentrate = StateJunction(property_package=m.fs.params) # Build the multiperiod object for MD blk.unit = MultiPeriodModel( @@ -112,17 +122,17 @@ def build_md(m, blk, model_options, n_time_points) -> None: def init_md(blk, model_options, verbose=True, solver=None): - m.fs.md.feed.properties[0]._flow_vol_phase() - m.fs.md.feed.properties[0]._conc_mass_phase_comp() + blk.feed.properties[0]._flow_vol_phase() + blk.feed.properties[0]._conc_mass_phase_comp() - m.fs.md.feed.initialize() + blk.feed.initialize() feed_flow_rate = pyunits.convert( - m.fs.md.feed.properties[0].flow_vol_phase['Liq'], + blk.feed.properties[0].flow_vol_phase['Liq'], to_units = pyunits.L/pyunits.h)() - feed_salinity = m.fs.md.feed.properties[0].conc_mass_phase_comp['Liq','TDS']() - feed_temp = pyunits.convert_temp_K_to_C(m.fs.md.feed.properties[0].temperature()) + feed_salinity = blk.feed.properties[0].conc_mass_phase_comp['Liq','TDS']() + feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) blk.unit.build_multi_period_model( @@ -146,6 +156,44 @@ def init_md(blk, model_options, verbose=True, solver=None): result = solver.solve(active) unfix_dof(m=active, feed_flow_rate=feed_flow_rate) + + # Build connection to permeate state junction + + + @blk.Constraint() + def get_permeate(b): + # Get final variables + # active_blks = b.unit.get_active_process_blocks() + num_modules = active_blks[-1].fs.vagmd.num_modules + + # L/h -> converted to kg/s + # permeate_production_rate = ( + # num_modules + # * value(active_blks[-1].fs.acc_distillate_volume) + # / (value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600) + # * pyunits.L + # / pyunits.h + # ) + + return (b.permeate.properties[0].flow_mass_phase_comp['Liq','H2O'] + == pyunits.convert(pyunits.convert( + ( num_modules + * blk.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume + / (blk.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) + # * pyunits.L + # / pyunits.h + ) + , to_units= pyunits.m**3 / pyunits.day + ) *1000*pyunits.kg/pyunits.m**3 + , to_units = pyunits.kg/pyunits.s) + ) + + + blk.permeate.properties[0].flow_mass_phase_comp['Liq','TDS'].fix(0) + blk.permeate.properties[0].pressure.fix(101325) + blk.permeate.properties[0].temperature.fix(298.15) + + def init_system(m, blk, model_options, verbose=True, solver=None): @@ -171,7 +219,9 @@ def init_system(m, blk, model_options, verbose=True, solver=None): propagate_state(m.fs.feed_to_md) init_md(blk, model_options, verbose=True, solver=None) - + + propagate_state(m.fs.md_to_product) + m.fs.product.initialize() def set_system_op_conditions(blk, model_options): @@ -229,7 +279,7 @@ def set_md_op_conditions(blk): active_blks[0].fs.pre_feed_pump_power_elec.fix(0) -def system_output(blk, n_time_points, model_options): +def md_output(blk, n_time_points, model_options): active_blks = blk.md.unit.get_active_process_blocks() @@ -451,8 +501,8 @@ def report_MD(m, stream_table=False): cooling_inlet_temp=model_options["cooling_inlet_temp"], ) - n_time_points = 2 - # n_time_points = n_time_points_check + 1 + # n_time_points = 4 + n_time_points = n_time_points_check m = build_system(model_options, n_time_points) print(f"\nBuild System:system Degrees of Freedom: {degrees_of_freedom(m)}") @@ -466,18 +516,18 @@ def report_MD(m, stream_table=False): add_md_costing(m, m.fs.md.unit) solver = get_solver() - try: - results = solver.solve(m.fs.md) - except ValueError: - m.fs.md.unit.active_blocks[0].fs.vagmd.display() - # print_infeasible_constraints(m) + # try: + # results = solver.solve(m.fs.md) + # except ValueError: + # # m.fs.md.unit.active_blocks[0].fs.vagmd.display() + # print_infeasible_constraints(m) print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") # assert degrees_of_freedom(m) == 0 - + results = solver.solve(m) active_blks = m.fs.md.unit.get_active_process_blocks() - permeate_flow_rate, brine_flow_rate, brine_salinity = system_output( + permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( m.fs, n_time_points, model_options ) print("\nOverall LCOW ($/m3): ", value(m.fs.costing.LCOW)) @@ -535,3 +585,8 @@ def report_MD(m, stream_table=False): value(total_distillate_check), pyunits.get_units(total_distillate_check), ) + + m.fs.md.permeate.properties[0].flow_mass_phase_comp.display() + + m.fs.product.properties[0].flow_mass_phase_comp.display() + From ea575dcef1aead5d566d1ad4b3c5b026a602ea90 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 3 Oct 2024 16:29:34 -0600 Subject: [PATCH 010/116] add state junction for concentrate copied dwi component file --- .../case_studies/KBHDP/components/MD.py | 88 +++++--- .../KBHDP/components/deep_well_injection.py | 202 ++++++++++++++++++ 2 files changed, 263 insertions(+), 27 deletions(-) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 53c3e1c6..3adc82d4 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -75,7 +75,7 @@ def build_system(model_options, n_time_points): # Create feed, product and concentrate state blocks m.fs.feed = Feed(property_package=m.fs.params) m.fs.product = Product(property_package=m.fs.params) - # m.fs.waste = Product(property_package=m.fs.params) + m.fs.waste = Product(property_package=m.fs.params) # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) @@ -100,6 +100,12 @@ def add_connections(m): ) + m.fs.md_to_waste = Arc( + source = m.fs.md.concentrate.outlet, + destination = m.fs.waste.inlet + ) + + def build_md(m, blk, model_options, n_time_points) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') @@ -108,7 +114,7 @@ def build_md(m, blk, model_options, n_time_points) -> None: blk.feed = StateJunction(property_package=m.fs.params) blk.permeate = StateJunction(property_package=m.fs.params) - # blk.concentrate = StateJunction(property_package=m.fs.params) + blk.concentrate = StateJunction(property_package=m.fs.params) # Build the multiperiod object for MD blk.unit = MultiPeriodModel( @@ -121,7 +127,7 @@ def build_md(m, blk, model_options, n_time_points) -> None: ) -def init_md(blk, model_options, verbose=True, solver=None): +def init_md(blk, model_options, n_time_points, verbose=True, solver=None): blk.feed.properties[0]._flow_vol_phase() blk.feed.properties[0]._conc_mass_phase_comp() @@ -143,7 +149,6 @@ def init_md(blk, model_options, verbose=True, solver=None): add_performance_constraints(m, blk.unit, model_options) - # iscale.calculate_scaling_factors(blk.unit) solver = get_solver() active_blks = blk.unit.get_active_process_blocks() for active in active_blks: @@ -159,29 +164,15 @@ def init_md(blk, model_options, verbose=True, solver=None): # Build connection to permeate state junction - @blk.Constraint() - def get_permeate(b): - # Get final variables - # active_blks = b.unit.get_active_process_blocks() - num_modules = active_blks[-1].fs.vagmd.num_modules - - # L/h -> converted to kg/s - # permeate_production_rate = ( - # num_modules - # * value(active_blks[-1].fs.acc_distillate_volume) - # / (value(active_blks[-1].fs.dt) * (n_time_points - 1) / 3600) - # * pyunits.L - # / pyunits.h - # ) + def get_permeate_flow(b): + num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules return (b.permeate.properties[0].flow_mass_phase_comp['Liq','H2O'] == pyunits.convert(pyunits.convert( ( num_modules - * blk.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume - / (blk.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) - # * pyunits.L - # / pyunits.h + * b.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume + / (b.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) ) , to_units= pyunits.m**3 / pyunits.day ) *1000*pyunits.kg/pyunits.m**3 @@ -192,11 +183,42 @@ def get_permeate(b): blk.permeate.properties[0].flow_mass_phase_comp['Liq','TDS'].fix(0) blk.permeate.properties[0].pressure.fix(101325) blk.permeate.properties[0].temperature.fix(298.15) + + # Build connection to concentrate state junction + + blk.concentrate.properties[0]._flow_vol_phase() + blk.concentrate.properties[0]._conc_mass_phase_comp() + + @blk.Constraint() + def get_concentrate_flow(b): + num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules + + + return (b.concentrate.properties[0].flow_vol_phase['Liq'] + == pyunits.convert( + (num_modules + * model_options["initial_batch_volume"]*pyunits.L + * (1 - b.unit.get_active_process_blocks()[-1].fs.acc_recovery_ratio) + / (b.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) + ) + , to_units= pyunits.m**3 / pyunits.s + ) + ) - + @blk.Constraint() + def get_concentrate_conc(b): + return ( b.concentrate.properties[0].conc_mass_phase_comp['Liq','TDS'] + == pyunits.convert( + b.unit.get_active_process_blocks()[-1].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"], + to_units=pyunits.kg / pyunits.m**3, + ) + ) + + blk.concentrate.properties[0].pressure.fix(101325) + blk.concentrate.properties[0].temperature.fix(298.15) -def init_system(m, blk, model_options, verbose=True, solver=None): +def init_system(m, blk, model_options,n_time_points, verbose=True, solver=None): if solver is None: solver = get_solver() @@ -218,11 +240,14 @@ def init_system(m, blk, model_options, verbose=True, solver=None): m.fs.feed.initialize() propagate_state(m.fs.feed_to_md) - init_md(blk, model_options, verbose=True, solver=None) + init_md(blk, model_options,n_time_points, verbose=True, solver=None) propagate_state(m.fs.md_to_product) m.fs.product.initialize() + propagate_state(m.fs.md_to_waste) + m.fs.waste.initialize() + def set_system_op_conditions(blk, model_options): @@ -464,6 +489,8 @@ def report_MD(m, stream_table=False): ) +# def get_md_time_steps(model) + if __name__ == "__main__": Qin = 4 * pyunits.Mgal / pyunits.day # KBHDP flow rate @@ -501,14 +528,14 @@ def report_MD(m, stream_table=False): cooling_inlet_temp=model_options["cooling_inlet_temp"], ) - # n_time_points = 4 + # n_time_points = 2 n_time_points = n_time_points_check m = build_system(model_options, n_time_points) print(f"\nBuild System:system Degrees of Freedom: {degrees_of_freedom(m)}") set_system_op_conditions(m.fs, model_options) print(f"\nSet inlet conditions:system Degrees of Freedom: {degrees_of_freedom(m)}") - init_system(m, m.fs.md, model_options) + init_system(m, m.fs.md, model_options, n_time_points) print(f"\nInitialize MD:system Degrees of Freedom: {degrees_of_freedom(m)}") set_md_op_conditions(m.fs.md) print(f"\nSet MD conditions:system Degrees of Freedom: {degrees_of_freedom(m)}") @@ -586,6 +613,13 @@ def report_MD(m, stream_table=False): pyunits.get_units(total_distillate_check), ) + print(m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.feed_props[0].flow_mass_phase_comp["Liq", "TDS"]) + + m.fs.md.concentrate.properties[0].flow_mass_phase_comp.display() + + m.fs.waste.properties[0].flow_mass_phase_comp.display() + + m.fs.md.permeate.properties[0].flow_mass_phase_comp.display() m.fs.product.properties[0].flow_mass_phase_comp.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py new file mode 100644 index 00000000..924f083d --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py @@ -0,0 +1,202 @@ +import os +import math +import numpy as np +from pyomo.environ import ( + ConcreteModel, + value, + Param, + Var, + Constraint, + Set, + Expression, + TransformationFactory, + Objective, + NonNegativeReals, + Block, + RangeSet, + check_optimal_termination, + units as pyunits, +) +from pyomo.network import Arc, SequentialDecomposition +from pyomo.util.check_units import assert_units_consistent +from idaes.core import FlowsheetBlock, UnitModelCostingBlock, MaterialFlowBasis +from idaes.core.solvers import get_solver +from idaes.core.util.initialization import propagate_state as _prop_state +import idaes.core.util.scaling as iscale +from idaes.core.util.scaling import ( + constraint_scaling_transform, + calculate_scaling_factors, + set_scaling_factor, +) +import idaes.logger as idaeslogger +from idaes.core.util.exceptions import InitializationError +from idaes.models.unit_models import Product, Feed, StateJunction, Separator +from idaes.core.util.model_statistics import * + +from watertap.core.util.model_diagnostics.infeasible import * +from watertap.property_models.NaCl_prop_pack import NaClParameterBlock +from watertap.property_models.multicomp_aq_sol_prop_pack import MCASParameterBlock +from watertap.core.zero_order_properties import WaterParameterBlock + +from watertap_contrib.reflo.costing import ( + TreatmentCosting, + EnergyCosting, + REFLOCosting, +) + +from watertap_contrib.reflo.unit_models.deep_well_injection import DeepWellInjection +from watertap_contrib.reflo.costing.units.deep_well_injection import ( + blm_costing_params_dict, +) + +__all__ = [ + "build_DWI", + "init_DWI", + "set_DWI_op_conditions", + "add_DWI_costing", + "report_DWI", + "print_DWI_costing_breakdown", +] + + +def propagate_state(arc): + _prop_state(arc) + # print(f"Propogation of {arc.source.name} to {arc.destination.name} successful.") + # arc.source.display() + # print(arc.destination.name) + # arc.destination.display() + # print('\n') + + +def build_DWI(m, blk, prop_package) -> None: + print(f'\n{"=======> BUILDING DEEP WELL INJECTION SYSTEM <=======":^60}\n') + + blk.unit = DeepWellInjection(property_package=m.fs.properties) + + +def set_DWI_op_conditions(blk): + inlet_conc = { + "Ca_2+": 1.43, + "Mg_2+": 0.1814, + "SiO2": 0.054, + "Alkalinity_2-": 0.421, + } + + rho = 1000 * pyunits.kg / pyunits.m**3 + flow_mgd = 5.08 * pyunits.Mgallons / pyunits.day + + flow_mass_phase_water = pyunits.convert( + flow_mgd * rho, to_units=pyunits.kg / pyunits.s + ) + + prop = blk.unit.properties[0] + prop.temperature.fix() + prop.pressure.fix() + + prop.flow_mass_phase_comp["Liq", "H2O"].fix(flow_mass_phase_water) + for solute, conc in inlet_conc.items(): + mass_flow_solute = pyunits.convert( + flow_mgd * conc * pyunits.kg / pyunits.m**3, + to_units=pyunits.kg / pyunits.s, + ) + prop.flow_mass_phase_comp["Liq", solute].fix(mass_flow_solute) + prop.set_default_scaling( + "flow_mass_phase_comp", + value(1 / mass_flow_solute), + index=("Liq", solute), + ) + prop.set_default_scaling( + "flow_mass_phase_comp", + value(1 / flow_mass_phase_water), + index=("Liq", "H2O"), + ) + + +def init_DWI(m, blk, verbose=True, solver=None): + if solver is None: + solver = get_solver() + + optarg = solver.options + + blk.unit.initialize(optarg=optarg, outlvl=idaeslogger.INFO) + + +def add_DWI_costing(m, blk): + blk.unit.costing = UnitModelCostingBlock( + flowsheet_costing_block=m.fs.costing, + ) + + +def report_DWI(m, blk): + print(f"\n\n-------------------- UF Report --------------------\n") + print("\n") + print( + f'{"Injection Well Depth":<30s}{value(blk.unit.config.injection_well_depth):<10.3f}{pyunits.get_units(blk.unit.config.injection_well_depth)}' + ) + + +def print_DWI_costing_breakdown(m, blk): + print(f"\n\n-------------------- UF Costing Breakdown --------------------\n") + print("\n") + print(f'{"Capital Cost":<30s}{f"${blk.unit.costing.capital_cost():<25,.0f}"}') + # print( + # f'{"Capital Cost":<30s}{f"${blk.unit.costing.fixed_operating_cost():<25,.0f}"}' + # ) + + +def build_system(): + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + m.fs.costing = REFLOCosting() + inlet_conc = { + "Ca_2+": 1.43, + "Mg_2+": 0.1814, + "SiO2": 0.054, + "Alkalinity_2-": 0.421, + } + + m.fs.properties = MCASParameterBlock( + solute_list=inlet_conc.keys(), material_flow_basis=MaterialFlowBasis.mass + ) + + m.fs.DWI = FlowsheetBlock(dynamic=False) + build_DWI(m, m.fs.DWI, m.fs.properties) + + TransformationFactory("network.expand_arcs").apply_to(m) + + return m + + +def solve(model, solver=None, tee=True, raise_on_failure=True): + # ---solving--- + if solver is None: + solver = get_solver() + + print("\n--------- SOLVING ---------\n") + + results = solver.solve(model, tee=tee) + + if check_optimal_termination(results): + print("\n--------- OPTIMAL SOLVE!!! ---------\n") + return results + msg = ( + "The current configuration is infeasible. Please adjust the decision variables." + ) + if raise_on_failure: + raise RuntimeError(msg) + else: + return results + + +if __name__ == "__main__": + file_dir = os.path.dirname(os.path.abspath(__file__)) + m = build_system() + set_DWI_op_conditions(m.fs.DWI) + + init_DWI(m, m.fs.DWI) + add_DWI_costing(m, m.fs.DWI) + m.fs.costing.cost_process() + solve(m) + + report_DWI(m, m.fs.DWI) + print_DWI_costing_breakdown(m, m.fs.DWI) From abf2da3be25086690d9bc19fdb4b55a0d30fd480 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 7 Oct 2024 13:33:38 -0600 Subject: [PATCH 011/116] updates to component files --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 368 ++++-------------- .../case_studies/KBHDP/components/MD.py | 293 ++++++++------ .../flat_plate/flat_plate_surrogate.json | 2 +- 3 files changed, 242 insertions(+), 421 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index c9156049..dbe1c6b7 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -56,48 +56,44 @@ ) from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel +from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.MD import * + # TODO: Add translator block after feed block # TODO: Add opex calculator at each time step and capex on the last time step -# __all__ = [ -# "build_system", -# "add_connections", -# "add_constraints", -# "add_costing", -# "relax_constraints", -# "set_inlet_conditions", -# "set_operating_conditions", -# "report_MCAS_stream_conc", -# "display_system_stream_table", -# "display_system_build", -# "init_system", -# ] +__all__ = [ + "build_system", + "add_connections", + "add_constraints", + "add_costing", + "relax_constraints", + "set_inlet_conditions", + "set_operating_conditions", + "report_MCAS_stream_conc", + "display_system_stream_table", + "display_system_build", + "init_system", +] def propagate_state(arc): _prop_state(arc) - # print(f"Propogation of {arc.source.name} to {arc.destination.name} successful.") - # arc.source.display() - # print(arc.destination.name) - # arc.destination.display() - # print("\n") def main(): - m = build_system() - display_system_build(m) + m, model_options, n_time_points = build_system() add_connections(m) - add_constraints(m) + + # add_constraints(m) + set_operating_conditions(m) init_system(m) add_costing(m) solve(m) - display_system_stream_table(m) - report_softener(m) - report_UF(m, m.fs.UF) - report_RO(m, m.fs.RO) + + display_costing_breakdown(m) @@ -105,82 +101,41 @@ def build_system(): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) - m.fs.costing = REFLOCosting() - m.fs.costing.base_currency = pyunits.USD_2020 - - m.fs.MCAS_properties = MCASParameterBlock( - solute_list=[ - "Alkalinity_2-", - "Ca_2+", - "Cl_-", - "Mg_2+", - "K_+", - "SiO2", - "Na_+", - "SO2_-4+", - ], - material_flow_basis=MaterialFlowBasis.mass, - ) + # m.fs.costing = REFLOCosting() + # m.fs.costing.base_currency = pyunits.USD_2020 - m.fs.feed = Feed(property_package=m.fs.MCAS_properties) - m.fs.product = Product(property_package=m.fs.RO_properties) - m.fs.disposal = Product(property_package=m.fs.RO_properties) + # Property package + m.fs.params = SeawaterParameterBlock() - # Define the Unit Models + # Create feed, product and concentrate state blocks + m.fs.feed = Feed(property_package=m.fs.params) + m.fs.product = Product(property_package=m.fs.params) + m.fs.disposal = Product(property_package=m.fs.params) + + # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) + model_options, n_time_points= build_md(m, m.fs.md) # m.fs.dwi = FlowsheetBlock(dynamic=False) - # Define the Translator Blocks - m.fs.MCAS_to_NaCl_translator = Translator_MCAS_to_NACL( - inlet_property_package=m.fs.MCAS_properties, - outlet_property_package=m.fs.RO_properties, - has_phase_equilibrium=False, - outlet_state_defined=True, - ) - - m.fs.MCAS_to_TDS_translator = Translator_MCAS_to_TDS( - inlet_property_package=m.fs.MCAS_properties, - outlet_property_package=m.fs.UF_properties, - has_phase_equilibrium=False, - outlet_state_defined=True, - ) - - m.fs.TDS_to_NaCl_translator = Translator_TDS_to_NACL( - inlet_property_package=m.fs.UF_properties, - outlet_property_package=m.fs.RO_properties, - has_phase_equilibrium=False, - outlet_state_defined=True, - ) + return m, model_options, n_time_points - build_ro(m, m.fs.RO, prop_package=m.fs.RO_properties) - m.fs.MCAS_properties.set_default_scaling( - "flow_mass_phase_comp", 10**-1, index=("Liq", "H2O") - ) - m.fs.MCAS_properties.set_default_scaling( - "flow_mass_phase_comp", 10**-1, index=("Liq", "NaCl") - ) +def add_connections(m): - m.fs.RO_properties.set_default_scaling( - "flow_mass_phase_comp", 1, index=("Liq", "H2O") - ) - m.fs.RO_properties.set_default_scaling( - "flow_mass_phase_comp", 1e2, index=("Liq", "NaCl") + m.fs.feed_to_md = Arc( + source = m.fs.feed.outlet, + destination = m.fs.md.feed.inlet ) - return m - - -def add_connections(m): - m.fs.feed_to_md = Arc( - source=m.fs.feed.outlet, - destination=m.fs.softener.unit.inlet, + m.fs.md_to_product = Arc( + source = m.fs.md.permeate.outlet, + destination = m.fs.product.inlet ) - m.fs.md_to_dwi = Arc( - source=m.fs.softener.unit.outlet, - destination=m.fs.MCAS_to_TDS_translator.inlet, + m.fs.md_to_disposal = Arc( + source = m.fs.md.concentrate.outlet, + destination = m.fs.disposal.inlet ) TransformationFactory("network.expand_arcs").apply_to(m) @@ -231,102 +186,41 @@ def add_constraints(m): m.fs.MCAS_to_NaCl_translator.properties_out[0.0].conc_mass_phase_comp -def add_costing(m): +# def add_costing(m): - m.fs.costing.cost_process() - m.fs.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) - m.fs.costing.add_LCOW(m.fs.product.properties[0].flow_vol) +# m.fs.costing.cost_process() +# m.fs.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) +# m.fs.costing.add_LCOW(m.fs.product.properties[0].flow_vol) def set_inlet_conditions( - m, - Qin=4, - supply_pressure=1e5, - primary_pump_pressure=15e5, + blk, model_options ): - print(f'\n{"=======> SETTING OPERATING CONDITIONS <=======":^60}\n') - feed_temperature = 293 - - Qin = Qin * pyunits.Mgal / pyunits.day - flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - rho = 1000 * pyunits.kg / pyunits.m**3 - flow_mass_phase_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) - - inlet_dict = { - "Ca_2+": 0.61 * pyunits.kg / pyunits.m**3, - "Mg_2+": 0.161 * pyunits.kg / pyunits.m**3, - "Alkalinity_2-": 0.0821 * pyunits.kg / pyunits.m**3, - "SiO2": 0.13 * pyunits.kg / pyunits.m**3, - "Cl_-": 5.5 * pyunits.kg / pyunits.m**3, - "Na_+": 5.5 * pyunits.kg / pyunits.m**3, - "K_+": 0.016 * pyunits.kg / pyunits.m**3, - "SO2_-4+": 0.23 * pyunits.kg / pyunits.m**3, - } - - calc_state_dict = { - ("flow_vol_phase", "Liq"): value(flow_in), - ("pressure", None): 101325, - ("temperature", None): 298, - } - - for solute, solute_conc in inlet_dict.items(): - calc_state_dict[("conc_mass_phase_comp", ("Liq", solute))] = solute_conc - flow_mass_solute = pyunits.convert( - flow_in * solute_conc, to_units=pyunits.kg / pyunits.s - ) - sf = 1 / value(flow_mass_solute) - m.fs.feed.properties[0].flow_mass_phase_comp["Liq", solute].set_value( - flow_mass_solute - ) - m.fs.MCAS_properties.set_default_scaling( - "flow_mass_phase_comp", - sf, - index=("Liq", solute), - ) - m.fs.MCAS_properties.set_default_scaling( - "conc_mass_phase_comp", - 1 / solute_conc(), - index=("Liq", solute), + print(f'\n{"=======> SETTING FEED CONDITIONS <=======":^60}\n') + feed_flow_rate = model_options["feed_flow_rate"] + feed_salinity = model_options["feed_salinity"] + feed_temp = model_options["feed_temp"] + + blk.feed.properties.calculate_state( + var_args={ + ("flow_vol_phase", "Liq"): pyunits.convert( + feed_flow_rate* pyunits.L / pyunits.h, + to_units=pyunits.m**3 / pyunits.s, + ), + ("conc_mass_phase_comp", ("Liq", "TDS")): feed_salinity, + ("temperature", None): feed_temp + 273.15, + ("pressure", None): 101325, + }, + hold_state = True ) - m.fs.MCAS_properties.set_default_scaling( - "mass_frac_phase_comp", - 1 / value(flow_mass_solute / flow_mass_phase_water), - index=("Liq", solute), - ) - - m.fs.MCAS_properties.set_default_scaling( - "flow_mass_phase_comp", - 1 / value(m.fs.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"]), - index=("Liq", "H2O"), - ) - calculate_scaling_factors(m) - - m.fs.feed.properties.calculate_state(var_args=calc_state_dict, hold_state=True) - calculate_scaling_factors(m) - # # initialize feed - m.fs.feed.pressure[0].fix(supply_pressure) - m.fs.feed.temperature[0].fix(feed_temperature) - -def display_unfixed_vars(blk, report=True): - print("\n\n-------------------- UNFIXED VARIABLES --------------------\n\n") - print(f'{"BLOCK":<40s}{"UNFIXED VARIABLES":<30s}') - print(f"{blk.name:<40s}{number_unused_variables(blk)}") - for v in blk.component_data_objects(ctype=Block, active=True, descend_into=True): - print(f"{v.name:<40s}{number_unused_variables(v)}") - for v2 in unused_variables_set(v): - print(f"\t{v2.name:<40s}") - - -def set_operating_conditions(m): - set_inlet_conditions(m, Qin=4, supply_pressure=1e5) - set_softener_op_conditions(m, m.fs.softener.unit) - set_UF_op_conditions(m.fs.UF) - set_ro_system_operating_conditions( - m, m.fs.RO, mem_area=10000, RO_pump_pressure=20e5 - ) +def set_operating_conditions(m, model_options): + + set_inlet_conditions(m.fs, model_options) + init_md(m.fs.md, model_options,n_time_points, verbose=True, solver=None) + set_md_op_conditions(m.fs.md) def init_system(m, verbose=True, solver=None): @@ -339,34 +233,10 @@ def init_system(m, verbose=True, solver=None): print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") m.fs.feed.initialize() - # propagate_state(m.fs.feed_to_primary_pump) - propagate_state(m.fs.feed_to_softener) - report_MCAS_stream_conc(m, m.fs.feed.properties[0.0]) - init_softener(m, m.fs.softener.unit) - propagate_state(m.fs.softener_to_translator) - m.fs.MCAS_to_TDS_translator.initialize() - propagate_state(m.fs.translator_to_UF) - init_UF(m, m.fs.UF) - propagate_state(m.fs.UF_to_translator3) - # BUG Need to add UF to disposal - - m.fs.TDS_to_NaCl_translator.initialize() - - # propagate_state(m.fs.translator_to_pump) - # m.fs.pump.initialize() - - # propagate_state(m.fs.pump_to_ro) - propagate_state(m.fs.translator_to_ro) - print("got here") - return - init_ro_system(m, m.fs.RO) - propagate_state(m.fs.ro_to_product) - propagate_state(m.fs.ro_to_disposal) - - m.fs.product.initialize() - m.fs.disposal.initialize() - display_system_stream_table(m) - m.fs.softener.unit.properties_waste[0].conc_mass_phase_comp + + + + def solve(m, solver=None, tee=True, raise_on_failure=True): @@ -394,96 +264,6 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): return results -def report_MCAS_stream_conc(m, stream): - solute_set = m.fs.MCAS_properties.solute_set - print(f"\n\n-------------------- {stream} CONCENTRATIONS --------------------\n\n") - print(f'{"Component":<15s}{"Conc.":<10s}{"Units":10s}') - for i in solute_set: - print( - f"{i:<15s}: {stream.conc_mass_phase_comp['Liq', i].value:<10.3f}{pyunits.get_units(stream.conc_mass_phase_comp['Liq', i])}" - ) - print( - f'{"Overall TDS":<15s}: {sum(value(stream.conc_mass_phase_comp["Liq", i]) for i in solute_set):<10.3f}{pyunits.get_units(stream.conc_mass_phase_comp["Liq", "Ca_2+"])}' - ) - print( - f"{'Vol. Flow Rate':<15s}: {stream.flow_mass_phase_comp['Liq', 'H2O'].value:<10.3f}{pyunits.get_units(stream.flow_mass_phase_comp['Liq', 'H2O'])}" - ) - - -def report_stream_ion_conc(m, stream): - print(f"\n\n-------------------- {stream} CONCENTRATIONS --------------------\n\n") - for ion_conc in stream.conc_mass_phase_comp: - print( - f"{ion_conc[1]:<15s}: {stream.conc_mass_phase_comp[ion_conc].value:<10.3f}{str(pyunits.get_units(stream.conc_mass_phase_comp[ion_conc]))}" - ) - - -def display_system_stream_table(m): - print("\n\n-------------------- SYSTEM STREAM TABLE --------------------\n\n") - print( - f'{"NODE":<20s}{"MASS FLOW RATE H2O (KG/S)":<30s}{"PRESSURE (BAR)":<20s}{"MASS FLOW RATE NACL (KG/S)":<30s}{"CONC. (G/L)":<20s}' - ) - print( - f'{"Feed":<20s}{m.fs.feed.properties[0.0].flow_mass_phase_comp["Liq", "H2O"].value:<30.3f}{value(pyunits.convert(m.fs.feed.properties[0.0].pressure, to_units=pyunits.bar)):<30.1f}' - ) - print( - f'{"Softener Inlet":<20s}{m.fs.softener.unit.properties_in[0.0].flow_mass_phase_comp["Liq", "H2O"].value:<30.3f}{pyunits.convert(m.fs.softener.unit.properties_in[0.0].pressure, to_units=pyunits.bar)():<30.1f}' - ) - print( - f'{"Softener Outlet":<20s}{m.fs.softener.unit.properties_out[0.0].flow_mass_phase_comp["Liq", "H2O"].value:<30.3f}{pyunits.convert(m.fs.softener.unit.properties_out[0.0].pressure, to_units=pyunits.bar)():<30.1f}' - ) - display_flow_table(m.fs.RO) - print("\n\n") - - -def display_system_build(m): - blocks = [] - for v in m.fs.component_data_objects(ctype=Block, active=True, descend_into=False): - print(v) - - -def display_costing_breakdown(m): - print("\n\n-------------------- SYSTEM COSTING BREAKDOWN --------------------\n\n") - header = f'{"PARAM":<25s}{"VALUE":<25s}{"UNITS":<25s}' - print(header) - print( - f'{"Product Flow":<25s}{f"{value(pyunits.convert(m.fs.product.properties[0].flow_vol, to_units=pyunits.m **3 * pyunits.yr ** -1)):<25,.1f}"}{"m3/yr":<25s}' - ) - print(f'{"LCOW":<24s}{f"${m.fs.costing.LCOW():<25.3f}"}{"$/m3":<25s}') - if __name__ == "__main__": - file_dir = os.path.dirname(os.path.abspath(__file__)) - m = build_system() - # display_system_build(m) - add_connections(m) - add_constraints(m) - relax_constraints(m, m.fs.RO) - set_operating_conditions(m) - constraint_scaling_transform(m.fs.softener.unit.eq_mass_balance_mg, 1e4) - # try: - init_system(m) - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - solver = get_solver() - # set_scaling_factor(m.fs.RO.stage[1].module.feed_side.dh, 1e7) - # check_jac(m.fs.RO) - results = solver.solve(m) - - # check_jac(m.fs.RO) - assert_optimal_termination(results) - - # add_costing(m) - # m.fs.costing.initialize() - # m.fs.costing.lime.cost.set_value(0) - # m.fs.costing.chemical_softening.lime_feed_system_op_coeff.set_value(0) - results = solver.solve(m) - - # ro = m.fs.RO.stage[1].module - - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - # print_infeasible_constraints(m.fs.RO) - # print_variables_close_to_bounds(m.fs.RO) - print(f"termination {results.solver.termination_condition}") - # print(f"LCOW = {m.fs.costing.LCOW()}") -# TODO Add costing to the system -# TODO Use case study input values + main() \ No newline at end of file diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 3adc82d4..f211799e 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -53,7 +53,7 @@ get_n_time_points, ) -from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet_multiperiod import ( +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_multiperiod_flowsheet import ( get_vagmd_batch_variable_pairs, unfix_dof, ) @@ -65,7 +65,7 @@ def propagate_state(arc): _prop_state(arc) -def build_system(model_options, n_time_points): +def build_system( overall_recovery = 0.5, n_time_points=None): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) @@ -75,16 +75,14 @@ def build_system(model_options, n_time_points): # Create feed, product and concentrate state blocks m.fs.feed = Feed(property_package=m.fs.params) m.fs.product = Product(property_package=m.fs.params) - m.fs.waste = Product(property_package=m.fs.params) + m.fs.disposal = Product(property_package=m.fs.params) # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) - build_md(m, m.fs.md, model_options, n_time_points) + model_options, n_time_points = build_md(m, m.fs.md, overall_recovery, n_time_points) add_connections(m) - TransformationFactory("network.expand_arcs").apply_to(m) - - return m + return m, model_options, n_time_points def add_connections(m): @@ -100,13 +98,51 @@ def add_connections(m): ) - m.fs.md_to_waste = Arc( + m.fs.md_to_disposal = Arc( source = m.fs.md.concentrate.outlet, - destination = m.fs.waste.inlet + destination = m.fs.disposal.inlet ) + TransformationFactory("network.expand_arcs").apply_to(m) -def build_md(m, blk, model_options, n_time_points) -> None: +def set_md_model_options(feed_flow_rate, feed_salinity,overall_recovery,n_time_points=None): + + system_capacity = overall_recovery * pyunits.convert(feed_flow_rate, to_units = pyunits.m**3 / pyunits.day) + feed_salinity = pyunits.convert(feed_salinity, to_units = pyunits.g/pyunits.L) + + model_options = { + "dt": None, + "system_capacity": system_capacity, # m3/day + "feed_flow_rate": 750, # L/h + "evap_inlet_temp": 80, + "cond_inlet_temp": 30, + "feed_temp": 30, + "feed_salinity": feed_salinity(), # g/L + "initial_batch_volume": 50, # L + "module_type": "AS26C7.2L", + "cooling_system_type": "closed", + "cooling_inlet_temp": 25, + } + + if n_time_points == None: + # Calculate the number of periods to reach target recovery rate by solving the system first + n_time_points = get_n_time_points( + dt=model_options["dt"], + feed_flow_rate=model_options["feed_flow_rate"], + evap_inlet_temp=model_options["evap_inlet_temp"], + cond_inlet_temp=model_options["cond_inlet_temp"], + feed_temp=model_options["feed_temp"], + feed_salinity=model_options["feed_salinity"], + recovery_ratio=overall_recovery, + initial_batch_volume=model_options["initial_batch_volume"], + module_type=model_options["module_type"], + cooling_system_type=model_options["cooling_system_type"], + cooling_inlet_temp=model_options["cooling_inlet_temp"], + ) + + return model_options, n_time_points + +def build_md(m, blk, overall_recovery = 0.5, n_time_points=None) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') @@ -116,6 +152,8 @@ def build_md(m, blk, model_options, n_time_points) -> None: blk.permeate = StateJunction(property_package=m.fs.params) blk.concentrate = StateJunction(property_package=m.fs.params) + model_options, n_time_points = set_md_model_options(Qin,feed_salinity,overall_recovery,n_time_points) + # Build the multiperiod object for MD blk.unit = MultiPeriodModel( n_time_points=n_time_points, @@ -126,6 +164,8 @@ def build_md(m, blk, model_options, n_time_points) -> None: outlvl=logging.WARNING, ) + return model_options, n_time_points + def init_md(blk, model_options, n_time_points, verbose=True, solver=None): blk.feed.properties[0]._flow_vol_phase() @@ -154,8 +194,6 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): for active in active_blks: fix_dof_and_initialize( m=active, - feed_flow_rate=feed_flow_rate, - feed_salinity=feed_salinity, feed_temp=feed_temp, ) result = solver.solve(active) @@ -163,20 +201,24 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): # Build connection to permeate state junction + blk.permeate.properties[0]._flow_vol_phase() - @blk.Constraint() + @blk.Constraint(doc="Assign the permeate flow rate to its respective state junction") def get_permeate_flow(b): num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules - return (b.permeate.properties[0].flow_mass_phase_comp['Liq','H2O'] - == pyunits.convert(pyunits.convert( + return (b.permeate.properties[0].flow_vol_phase['Liq'] + == + # pyunits.convert( + pyunits.convert( ( num_modules * b.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume / (b.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) ) - , to_units= pyunits.m**3 / pyunits.day - ) *1000*pyunits.kg/pyunits.m**3 - , to_units = pyunits.kg/pyunits.s) + , to_units= pyunits.m**3 / pyunits.s + ) + # *1000*pyunits.kg/pyunits.m**3 + # , to_units = pyunits.kg/pyunits.s) ) @@ -189,11 +231,10 @@ def get_permeate_flow(b): blk.concentrate.properties[0]._flow_vol_phase() blk.concentrate.properties[0]._conc_mass_phase_comp() - @blk.Constraint() + @blk.Constraint(doc="Assign the concentrate flow rate to its respective state junction") def get_concentrate_flow(b): num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules - return (b.concentrate.properties[0].flow_vol_phase['Liq'] == pyunits.convert( (num_modules @@ -205,7 +246,7 @@ def get_concentrate_flow(b): ) ) - @blk.Constraint() + @blk.Constraint(doc="Assign the concentrate concentration to its respective state junction") def get_concentrate_conc(b): return ( b.concentrate.properties[0].conc_mass_phase_comp['Liq','TDS'] == pyunits.convert( @@ -218,6 +259,7 @@ def get_concentrate_conc(b): blk.concentrate.properties[0].temperature.fix(298.15) + def init_system(m, blk, model_options,n_time_points, verbose=True, solver=None): if solver is None: solver = get_solver() @@ -245,8 +287,8 @@ def init_system(m, blk, model_options,n_time_points, verbose=True, solver=None): propagate_state(m.fs.md_to_product) m.fs.product.initialize() - propagate_state(m.fs.md_to_waste) - m.fs.waste.initialize() + propagate_state(m.fs.md_to_disposal) + m.fs.disposal.initialize() def set_system_op_conditions(blk, model_options): @@ -287,6 +329,7 @@ def set_md_op_conditions(blk): print('Feed flow rate in L/h:',feed_flow_rate) print("Feed salinity in g/l:", feed_salinity) print("Feed temperature in C:", feed_temp) + print("\n") active_blks[0].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"].fix( feed_salinity @@ -476,151 +519,149 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): return results -def report_MD(m, stream_table=False): - print(f"\n\n-------------------- MD Report --------------------\n") - print("\n") +def report_MD(m): active_blks = m.fs.md.unit.get_active_process_blocks() - print("Number of modules:", value(active_blks[-1].fs.vagmd.num_modules)) + print(f"\n\n-------------------- MD Operations Report --------------------\n") + print("\n") print( - f'{"Inlet Flow Volume":<30s}{value(active_blks[0].fs.vagmd.feed_props[0].flow_vol_phase["Liq"]):<10.5f}{pyunits.get_units(active_blks[-1].fs.vagmd.feed_props[0].flow_vol_phase["Liq"])}' + f'{"System Capacity":<30s}{value(active_blks[0].fs.vagmd.system_capacity):<10,.2f}{pyunits.get_units(active_blks[0].fs.vagmd.system_capacity)}' ) + print( + f'{"Feed stream salinity":<30s}{value(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.5f}{pyunits.get_units(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + ) -# def get_md_time_steps(model) - -if __name__ == "__main__": + print( + f'{"MD Period 1 Feed salinity":<30s}{value(m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.5f}{pyunits.get_units(m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + ) - Qin = 4 * pyunits.Mgal / pyunits.day # KBHDP flow rate - Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) + print( + f'{"Number of modules:":<30s}{value(active_blks[-1].fs.vagmd.num_modules)}' + ) - overall_recovery = 0.45 - system_capacity = overall_recovery * Qin + print( + f'{"Membrane type":<30s}{active_blks[-1].fs.vagmd.config.module_type}' + ) - model_options = { - "dt": None, - "system_capacity": system_capacity, # m3/day - "feed_flow_rate": 750, # L/h - "evap_inlet_temp": 80, - "cond_inlet_temp": 30, - "feed_temp": 30, - "feed_salinity": 12, - "initial_batch_volume": 50, # L - "module_type": "AS26C7.2L", - "cooling_system_type": "closed", - "cooling_inlet_temp": 25, - } + print( + f'{"Accumulated recovery":<30s}{value(active_blks[-1].fs.acc_recovery_ratio):<10.5f}{pyunits.get_units(active_blks[-1].fs.acc_recovery_ratio)}' + ) + + perm_flow = pyunits.convert(m.fs.md.permeate.properties[0].flow_vol_phase["Liq"],to_units = pyunits.m**3/pyunits.day) - # Calculate the number of periods to reach target recovery rate by solving the system first - n_time_points_check = get_n_time_points( - dt=model_options["dt"], - feed_flow_rate=model_options["feed_flow_rate"], - evap_inlet_temp=model_options["evap_inlet_temp"], - cond_inlet_temp=model_options["cond_inlet_temp"], - feed_temp=model_options["feed_temp"], - feed_salinity=model_options["feed_salinity"], - recovery_ratio=overall_recovery, - initial_batch_volume=model_options["initial_batch_volume"], - module_type=model_options["module_type"], - cooling_system_type=model_options["cooling_system_type"], - cooling_inlet_temp=model_options["cooling_inlet_temp"], - ) - - # n_time_points = 2 - n_time_points = n_time_points_check - - m = build_system(model_options, n_time_points) - print(f"\nBuild System:system Degrees of Freedom: {degrees_of_freedom(m)}") - set_system_op_conditions(m.fs, model_options) - print(f"\nSet inlet conditions:system Degrees of Freedom: {degrees_of_freedom(m)}") - init_system(m, m.fs.md, model_options, n_time_points) - print(f"\nInitialize MD:system Degrees of Freedom: {degrees_of_freedom(m)}") - set_md_op_conditions(m.fs.md) - print(f"\nSet MD conditions:system Degrees of Freedom: {degrees_of_freedom(m)}") + print( + f'{"Permeate flow rate":<30s}{value(perm_flow):<10.2f}{pyunits.get_units(perm_flow)}' + ) - add_md_costing(m, m.fs.md.unit) + conc_flow = pyunits.convert(m.fs.md.concentrate.properties[0].flow_vol_phase["Liq"],to_units = pyunits.m**3/pyunits.day) - solver = get_solver() - # try: - # results = solver.solve(m.fs.md) - # except ValueError: - # # m.fs.md.unit.active_blocks[0].fs.vagmd.display() - # print_infeasible_constraints(m) + print( + f'{"Concentrate flow rate":<30s}{value(conc_flow):<10.2f}{pyunits.get_units(conc_flow)}' + ) - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - # assert degrees_of_freedom(m) == 0 - results = solver.solve(m) - active_blks = m.fs.md.unit.get_active_process_blocks() + print( + f'{"Concentrate concentration":<30s}{value(m.fs.md.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.md.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + ) - permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( - m.fs, n_time_points, model_options + print( + f'{"STEC":<30s}{value(active_blks[-1].fs.specific_energy_consumption_thermal):<10.2f}{pyunits.get_units(active_blks[-1].fs.specific_energy_consumption_thermal)}' ) - print("\nOverall LCOW ($/m3): ", value(m.fs.costing.LCOW)) - print("\nCalculate n_time points", n_time_points) print( - "Time step duration:", - value(active_blks[0].fs.dt), - pyunits.get_units(active_blks[0].fs.dt), + f'{"SEC":<30s}{value(active_blks[-1].fs.specific_energy_consumption_electric):<10.2f}{pyunits.get_units(active_blks[-1].fs.specific_energy_consumption_electric)}' ) - batch_duration = n_time_points * active_blks[0].fs.dt - print("Batch duration:", value(batch_duration), pyunits.get_units(batch_duration)) - no_of_batches = 24 * pyunits.h / pyunits.convert(batch_duration, to_units=pyunits.h) - print("Number of batches in 24h:", value(no_of_batches)) + + # TODO: Operating parameters to track - print("Calculated number of modules:", value(active_blks[-1].fs.vagmd.num_modules)) + print(f"\n\n-------------------- MD Costing Report --------------------\n") + print("\n") print( - "\nSystem Capacity:", value(system_capacity), pyunits.get_units(system_capacity) + f'{"LCOW":<30s}{value(m.fs.costing.LCOW):<20.5f}{pyunits.get_units(m.fs.costing.LCOW)}' ) + print( - "Permeate flow rate:", - value(permeate_flow_rate), - pyunits.get_units(permeate_flow_rate), + f'{"Capital Cost":<30s}{value(m.fs.costing.aggregate_capital_cost):<20,.2f}{pyunits.get_units(m.fs.costing.LCOW)}' ) + print( - "Brine flow rate:", - value(brine_flow_rate), - pyunits.get_units(brine_flow_rate), + f'{"Operating Cost":<30s}{value(m.fs.costing.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(m.fs.costing.LCOW)}' ) - print("Brine salinity:", value(brine_salinity), pyunits.get_units(brine_salinity)) - print("Accumulate recovery ratio:", value(active_blks[-1].fs.acc_recovery_ratio)) print( - "Accumulate distillate volume by 1 module in 1 batch:", - value(active_blks[-1].fs.acc_distillate_volume), - pyunits.get_units(active_blks[-1].fs.acc_distillate_volume), + f'{"Membrane Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.module_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.module_cost)}' ) + print( - "Total accumulate Distillate Volume by all modules in 1 batch:", - value(active_blks[-1].fs.vagmd.num_modules) - * value(active_blks[-1].fs.acc_distillate_volume), - pyunits.get_units(active_blks[-1].fs.acc_distillate_volume), + f'{"Aggregated Heat Cost":<30s}{value(m.fs.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(m.fs.costing.aggregate_flow_costs["heat"])}' ) - total_distillate_check = ( - pyunits.convert(active_blks[-1].fs.acc_distillate_volume, to_units=pyunits.m**3) - * value(active_blks[-1].fs.vagmd.num_modules) - * no_of_batches - ) print( - "Check on total distillate produced:", - value(total_distillate_check), - pyunits.get_units(total_distillate_check), + f'{"Aggregated Electricity Cost":<30s}{value(m.fs.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(m.fs.costing.aggregate_flow_costs["electricity"])}' ) + - print(m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.feed_props[0].flow_mass_phase_comp["Liq", "TDS"]) - m.fs.md.concentrate.properties[0].flow_mass_phase_comp.display() +if __name__ == "__main__": - m.fs.waste.properties[0].flow_mass_phase_comp.display() + Qin = 4 * pyunits.Mgal / pyunits.day # KBHDP flow rate + Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) + + feed_salinity = 12*pyunits.g/pyunits.L + overall_recovery = 0.45 - m.fs.md.permeate.properties[0].flow_mass_phase_comp.display() + n_time_points = None + m, model_options, n_time_points = build_system(overall_recovery, n_time_points=n_time_points) + print('Number of time points being modeled',n_time_points) + + set_system_op_conditions(m.fs, model_options) + init_system(m, m.fs.md, model_options, n_time_points) + + set_md_op_conditions(m.fs.md) + + + add_md_costing(m, m.fs.md.unit) + + solver = get_solver() + # try: + # results = solver.solve(m.fs.md) + # except ValueError: + # # m.fs.md.unit.active_blocks[0].fs.vagmd.display() + # print_infeasible_constraints(m) + + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + + assert degrees_of_freedom(m) == 0 + results = solver.solve(m) + active_blks = m.fs.md.unit.get_active_process_blocks() + + permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( + m.fs, n_time_points, model_options + ) + + report_MD(m) + + # print("\nCalculate n_time points", n_time_points) + # print( + # "Time step duration:", + # value(active_blks[0].fs.dt), + # pyunits.get_units(active_blks[0].fs.dt), + # ) + + # batch_duration = n_time_points * active_blks[0].fs.dt + # print("Batch duration:", value(batch_duration), pyunits.get_units(batch_duration)) + # no_of_batches = 24 * pyunits.h / pyunits.convert(batch_duration, to_units=pyunits.h) + # print("Number of batches in 24h:", value(no_of_batches)) + + # m.fs.md.permeate.properties[0].flow_vol_phase.display() + # m.fs.md.permeate.properties[0].flow_mass_phase_comp.display() + + - m.fs.product.properties[0].flow_mass_phase_comp.display() diff --git a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/flat_plate_surrogate.json b/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/flat_plate_surrogate.json index 35e17d45..bd944e16 100644 --- a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/flat_plate_surrogate.json +++ 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"surrogate_type": "rbf"} \ No newline at end of file From 878d38f2f434f379e0e1b2429453c2d3d9ca43ae Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 7 Oct 2024 17:12:58 -0600 Subject: [PATCH 012/116] added calc cost, updated reporting, and black --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 52 ++- .../case_studies/KBHDP/components/MD.py | 311 +++++++++++------- 2 files changed, 209 insertions(+), 154 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index dbe1c6b7..91b447a3 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -93,7 +93,6 @@ def main(): add_costing(m) solve(m) - display_costing_breakdown(m) @@ -114,7 +113,7 @@ def build_system(): # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) - model_options, n_time_points= build_md(m, m.fs.md) + model_options, n_time_points = build_md(m, m.fs.md) # m.fs.dwi = FlowsheetBlock(dynamic=False) return m, model_options, n_time_points @@ -122,20 +121,14 @@ def build_system(): def add_connections(m): - m.fs.feed_to_md = Arc( - source = m.fs.feed.outlet, - destination = m.fs.md.feed.inlet - ) - + m.fs.feed_to_md = Arc(source=m.fs.feed.outlet, destination=m.fs.md.feed.inlet) m.fs.md_to_product = Arc( - source = m.fs.md.permeate.outlet, - destination = m.fs.product.inlet + source=m.fs.md.permeate.outlet, destination=m.fs.product.inlet ) m.fs.md_to_disposal = Arc( - source = m.fs.md.concentrate.outlet, - destination = m.fs.disposal.inlet + source=m.fs.md.concentrate.outlet, destination=m.fs.disposal.inlet ) TransformationFactory("network.expand_arcs").apply_to(m) @@ -193,9 +186,7 @@ def add_constraints(m): # m.fs.costing.add_LCOW(m.fs.product.properties[0].flow_vol) -def set_inlet_conditions( - blk, model_options -): +def set_inlet_conditions(blk, model_options): print(f'\n{"=======> SETTING FEED CONDITIONS <=======":^60}\n') feed_flow_rate = model_options["feed_flow_rate"] @@ -203,23 +194,23 @@ def set_inlet_conditions( feed_temp = model_options["feed_temp"] blk.feed.properties.calculate_state( - var_args={ - ("flow_vol_phase", "Liq"): pyunits.convert( - feed_flow_rate* pyunits.L / pyunits.h, - to_units=pyunits.m**3 / pyunits.s, - ), - ("conc_mass_phase_comp", ("Liq", "TDS")): feed_salinity, - ("temperature", None): feed_temp + 273.15, - ("pressure", None): 101325, - }, - hold_state = True - ) + var_args={ + ("flow_vol_phase", "Liq"): pyunits.convert( + feed_flow_rate * pyunits.L / pyunits.h, + to_units=pyunits.m**3 / pyunits.s, + ), + ("conc_mass_phase_comp", ("Liq", "TDS")): feed_salinity, + ("temperature", None): feed_temp + 273.15, + ("pressure", None): 101325, + }, + hold_state=True, + ) def set_operating_conditions(m, model_options): - + set_inlet_conditions(m.fs, model_options) - init_md(m.fs.md, model_options,n_time_points, verbose=True, solver=None) + init_md(m.fs.md, model_options, n_time_points, verbose=True, solver=None) set_md_op_conditions(m.fs.md) @@ -235,10 +226,6 @@ def init_system(m, verbose=True, solver=None): m.fs.feed.initialize() - - - - def solve(m, solver=None, tee=True, raise_on_failure=True): # ---solving--- if solver is None: @@ -264,6 +251,5 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): return results - if __name__ == "__main__": - main() \ No newline at end of file + main() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index f211799e..489735b0 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -60,12 +60,14 @@ from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel +import matplotlib.pyplot as plt + def propagate_state(arc): _prop_state(arc) -def build_system( overall_recovery = 0.5, n_time_points=None): +def build_system(overall_recovery=0.5, n_time_points=None): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) @@ -82,34 +84,33 @@ def build_system( overall_recovery = 0.5, n_time_points=None): model_options, n_time_points = build_md(m, m.fs.md, overall_recovery, n_time_points) add_connections(m) - return m, model_options, n_time_points + return m, model_options, n_time_points -def add_connections(m): - m.fs.feed_to_md = Arc( - source = m.fs.feed.outlet, - destination = m.fs.md.feed.inlet - ) +def add_connections(m): + m.fs.feed_to_md = Arc(source=m.fs.feed.outlet, destination=m.fs.md.feed.inlet) m.fs.md_to_product = Arc( - source = m.fs.md.permeate.outlet, - destination = m.fs.product.inlet + source=m.fs.md.permeate.outlet, destination=m.fs.product.inlet ) - m.fs.md_to_disposal = Arc( - source = m.fs.md.concentrate.outlet, - destination = m.fs.disposal.inlet + source=m.fs.md.concentrate.outlet, destination=m.fs.disposal.inlet ) TransformationFactory("network.expand_arcs").apply_to(m) -def set_md_model_options(feed_flow_rate, feed_salinity,overall_recovery,n_time_points=None): - system_capacity = overall_recovery * pyunits.convert(feed_flow_rate, to_units = pyunits.m**3 / pyunits.day) - feed_salinity = pyunits.convert(feed_salinity, to_units = pyunits.g/pyunits.L) - +def set_md_model_options( + feed_flow_rate, feed_salinity, overall_recovery, n_time_points=None +): + + system_capacity = overall_recovery * pyunits.convert( + feed_flow_rate, to_units=pyunits.m**3 / pyunits.day + ) + feed_salinity = pyunits.convert(feed_salinity, to_units=pyunits.g / pyunits.L) + model_options = { "dt": None, "system_capacity": system_capacity, # m3/day @@ -117,7 +118,7 @@ def set_md_model_options(feed_flow_rate, feed_salinity,overall_recovery,n_time_p "evap_inlet_temp": 80, "cond_inlet_temp": 30, "feed_temp": 30, - "feed_salinity": feed_salinity(), # g/L + "feed_salinity": feed_salinity(), # g/L "initial_batch_volume": 50, # L "module_type": "AS26C7.2L", "cooling_system_type": "closed", @@ -125,7 +126,7 @@ def set_md_model_options(feed_flow_rate, feed_salinity,overall_recovery,n_time_p } if n_time_points == None: - # Calculate the number of periods to reach target recovery rate by solving the system first + # Calculate the number of periods to reach target recovery rate by solving the system first n_time_points = get_n_time_points( dt=model_options["dt"], feed_flow_rate=model_options["feed_flow_rate"], @@ -142,7 +143,8 @@ def set_md_model_options(feed_flow_rate, feed_salinity,overall_recovery,n_time_p return model_options, n_time_points -def build_md(m, blk, overall_recovery = 0.5, n_time_points=None) -> None: + +def build_md(m, blk, overall_recovery=0.5, n_time_points=None) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') @@ -152,7 +154,9 @@ def build_md(m, blk, overall_recovery = 0.5, n_time_points=None) -> None: blk.permeate = StateJunction(property_package=m.fs.params) blk.concentrate = StateJunction(property_package=m.fs.params) - model_options, n_time_points = set_md_model_options(Qin,feed_salinity,overall_recovery,n_time_points) + model_options, n_time_points = set_md_model_options( + Qin, feed_salinity, overall_recovery, n_time_points + ) # Build the multiperiod object for MD blk.unit = MultiPeriodModel( @@ -166,18 +170,17 @@ def build_md(m, blk, overall_recovery = 0.5, n_time_points=None) -> None: return model_options, n_time_points - -def init_md(blk, model_options, n_time_points, verbose=True, solver=None): + +def init_md(blk, model_options, n_time_points, verbose=True, solver=None): blk.feed.properties[0]._flow_vol_phase() blk.feed.properties[0]._conc_mass_phase_comp() blk.feed.initialize() feed_flow_rate = pyunits.convert( - blk.feed.properties[0].flow_vol_phase['Liq'], - to_units = pyunits.L/pyunits.h)() + blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h + )() - feed_salinity = blk.feed.properties[0].conc_mass_phase_comp['Liq','TDS']() feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) @@ -189,6 +192,8 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): add_performance_constraints(m, blk.unit, model_options) + blk.unit.system_capacity.fix(model_options["system_capacity"]) + solver = get_solver() active_blks = blk.unit.get_active_process_blocks() for active in active_blks: @@ -199,30 +204,35 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): result = solver.solve(active) unfix_dof(m=active, feed_flow_rate=feed_flow_rate) - # Build connection to permeate state junction blk.permeate.properties[0]._flow_vol_phase() - @blk.Constraint(doc="Assign the permeate flow rate to its respective state junction") + @blk.Constraint( + doc="Assign the permeate flow rate to its respective state junction" + ) def get_permeate_flow(b): num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules - return (b.permeate.properties[0].flow_vol_phase['Liq'] - == - # pyunits.convert( - pyunits.convert( - ( num_modules - * b.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume - / (b.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) - ) - , to_units= pyunits.m**3 / pyunits.s - ) - # *1000*pyunits.kg/pyunits.m**3 - # , to_units = pyunits.kg/pyunits.s) - ) - - - blk.permeate.properties[0].flow_mass_phase_comp['Liq','TDS'].fix(0) + return ( + b.permeate.properties[0].flow_vol_phase["Liq"] + == + # pyunits.convert( + pyunits.convert( + ( + num_modules + * b.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume + / ( + b.unit.get_active_process_blocks()[-1].fs.dt + * (n_time_points - 1) + ) + ), + to_units=pyunits.m**3 / pyunits.s, + ) + # *1000*pyunits.kg/pyunits.m**3 + # , to_units = pyunits.kg/pyunits.s) + ) + + blk.permeate.properties[0].flow_mass_phase_comp["Liq", "TDS"].fix(0) blk.permeate.properties[0].pressure.fix(101325) blk.permeate.properties[0].temperature.fix(298.15) @@ -231,36 +241,41 @@ def get_permeate_flow(b): blk.concentrate.properties[0]._flow_vol_phase() blk.concentrate.properties[0]._conc_mass_phase_comp() - @blk.Constraint(doc="Assign the concentrate flow rate to its respective state junction") + @blk.Constraint( + doc="Assign the concentrate flow rate to its respective state junction" + ) def get_concentrate_flow(b): num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules - return (b.concentrate.properties[0].flow_vol_phase['Liq'] - == pyunits.convert( - (num_modules - * model_options["initial_batch_volume"]*pyunits.L - * (1 - b.unit.get_active_process_blocks()[-1].fs.acc_recovery_ratio) - / (b.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) - ) - , to_units= pyunits.m**3 / pyunits.s - ) - ) - - @blk.Constraint(doc="Assign the concentrate concentration to its respective state junction") + return b.concentrate.properties[0].flow_vol_phase["Liq"] == pyunits.convert( + ( + num_modules + * model_options["initial_batch_volume"] + * pyunits.L + * (1 - b.unit.get_active_process_blocks()[-1].fs.acc_recovery_ratio) + / (b.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) + ), + to_units=pyunits.m**3 / pyunits.s, + ) + + @blk.Constraint( + doc="Assign the concentrate concentration to its respective state junction" + ) def get_concentrate_conc(b): - return ( b.concentrate.properties[0].conc_mass_phase_comp['Liq','TDS'] - == pyunits.convert( - b.unit.get_active_process_blocks()[-1].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"], - to_units=pyunits.kg / pyunits.m**3, - ) + return b.concentrate.properties[0].conc_mass_phase_comp[ + "Liq", "TDS" + ] == pyunits.convert( + b.unit.get_active_process_blocks()[-1] + .fs.vagmd.feed_props[0] + .conc_mass_phase_comp["Liq", "TDS"], + to_units=pyunits.kg / pyunits.m**3, ) blk.concentrate.properties[0].pressure.fix(101325) blk.concentrate.properties[0].temperature.fix(298.15) - -def init_system(m, blk, model_options,n_time_points, verbose=True, solver=None): +def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None): if solver is None: solver = get_solver() @@ -278,11 +293,11 @@ def init_system(m, blk, model_options,n_time_points, verbose=True, solver=None): # feed_salinity = model_options["feed_salinity"] # # Converting temperature to C units # feed_temp = model_options["feed_temp"] - + m.fs.feed.initialize() propagate_state(m.fs.feed_to_md) - init_md(blk, model_options,n_time_points, verbose=True, solver=None) + init_md(blk, model_options, n_time_points, verbose=True, solver=None) propagate_state(m.fs.md_to_product) m.fs.product.initialize() @@ -298,18 +313,18 @@ def set_system_op_conditions(blk, model_options): feed_temp = model_options["feed_temp"] blk.feed.properties.calculate_state( - var_args={ - ("flow_vol_phase", "Liq"): pyunits.convert( - feed_flow_rate* pyunits.L / pyunits.h, - to_units=pyunits.m**3 / pyunits.s, - ), - ("conc_mass_phase_comp", ("Liq", "TDS")): feed_salinity, - ("temperature", None): feed_temp + 273.15, - ("pressure", None): 101325, - }, - hold_state = True - ) - + var_args={ + ("flow_vol_phase", "Liq"): pyunits.convert( + feed_flow_rate * pyunits.L / pyunits.h, + to_units=pyunits.m**3 / pyunits.s, + ), + ("conc_mass_phase_comp", ("Liq", "TDS")): feed_salinity, + ("temperature", None): feed_temp + 273.15, + ("pressure", None): 101325, + }, + hold_state=True, + ) + def set_md_op_conditions(blk): @@ -319,14 +334,14 @@ def set_md_op_conditions(blk): # feed_salinity = model_options["feed_salinity"] # feed_temp = model_options["feed_temp"] feed_flow_rate = pyunits.convert( - m.fs.md.feed.properties[0].flow_vol_phase['Liq'], - to_units = pyunits.L/pyunits.h)() + m.fs.md.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h + )() - feed_salinity = m.fs.md.feed.properties[0].conc_mass_phase_comp['Liq','TDS']() + feed_salinity = m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"]() feed_temp = pyunits.convert_temp_K_to_C(m.fs.md.feed.properties[0].temperature()) print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") - print('Feed flow rate in L/h:',feed_flow_rate) + print("Feed flow rate in L/h:", feed_flow_rate) print("Feed salinity in g/l:", feed_salinity) print("Feed temperature in C:", feed_temp) print("\n") @@ -451,7 +466,7 @@ def add_md_costing(m, blk): object: A costing module associated to the multiperiod module """ m.fs.costing = REFLOCosting() - blk.system_capacity.fix() + # blk.system_capacity.fix() # Specify the last time step vagmd = blk.get_active_process_blocks()[-1].fs.vagmd vagmd.costing = UnitModelCostingBlock(flowsheet_costing_block=m.fs.costing) @@ -486,16 +501,28 @@ def add_md_costing(m, blk): ) ) + +def calc_costing(m, blk): + m.fs.costing.total_investment_factor.fix(1) m.fs.costing.maintenance_labor_chemical_factor.fix(0) m.fs.costing.capital_recovery_factor.fix(0.08764) m.fs.costing.wacc.unfix() m.fs.costing.cost_process() + m.fs.costing.initialize() - active_blks = m.fs.md.unit.get_active_process_blocks() - m.fs.costing.add_annual_water_production(active_blks[-1].fs.vagmd.system_capacity) - m.fs.costing.add_LCOW(active_blks[-1].fs.vagmd.system_capacity) + # active_blks = m.fs.md.unit.get_active_process_blocks() + # m.fs.costing.add_annual_water_production(active_blks[-1].fs.vagmd.system_capacity) + # m.fs.costing.add_LCOW(active_blks[-1].fs.vagmd.system_capacity) + + prod_flow = pyunits.convert( + m.fs.product.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.day, + ) + + m.fs.costing.add_annual_water_production(prod_flow) + m.fs.costing.add_LCOW(prod_flow) def solve(model, solver=None, tee=True, raise_on_failure=True): @@ -531,41 +558,63 @@ def report_MD(m): ) print( - f'{"Feed stream salinity":<30s}{value(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.5f}{pyunits.get_units(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + f'{"Feed stream salinity":<30s}{value(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' ) print( - f'{"MD Period 1 Feed salinity":<30s}{value(m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.5f}{pyunits.get_units(m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + f'{"MD Period 1 Feed salinity":<30s}{value(m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' ) print( - f'{"Number of modules:":<30s}{value(active_blks[-1].fs.vagmd.num_modules)}' - ) + f'{"Number of modules:":<30s}{value(active_blks[-1].fs.vagmd.num_modules):<10.2f}' + ) + + print(f'{"Membrane type":<30s}{active_blks[-1].fs.vagmd.config.module_type}') print( - f'{"Membrane type":<30s}{active_blks[-1].fs.vagmd.config.module_type}' + f'{"Accumulated recovery":<30s}{value(active_blks[-1].fs.acc_recovery_ratio):<10.2f}{pyunits.get_units(active_blks[-1].fs.acc_recovery_ratio)}' ) - print( - f'{"Accumulated recovery":<30s}{value(active_blks[-1].fs.acc_recovery_ratio):<10.5f}{pyunits.get_units(active_blks[-1].fs.acc_recovery_ratio)}' + perm_flow = pyunits.convert( + m.fs.md.permeate.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.day, ) - - perm_flow = pyunits.convert(m.fs.md.permeate.properties[0].flow_vol_phase["Liq"],to_units = pyunits.m**3/pyunits.day) print( - f'{"Permeate flow rate":<30s}{value(perm_flow):<10.2f}{pyunits.get_units(perm_flow)}' + f'{"Permeate flow rate":<30s}{value(perm_flow):<10,.2f}{pyunits.get_units(perm_flow)}' ) - conc_flow = pyunits.convert(m.fs.md.concentrate.properties[0].flow_vol_phase["Liq"],to_units = pyunits.m**3/pyunits.day) + conc_flow = pyunits.convert( + m.fs.md.concentrate.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.day, + ) print( - f'{"Concentrate flow rate":<30s}{value(conc_flow):<10.2f}{pyunits.get_units(conc_flow)}' + f'{"Concentrate flow rate":<30s}{value(conc_flow):<10,.2f}{pyunits.get_units(conc_flow)}' ) print( f'{"Concentrate concentration":<30s}{value(m.fs.md.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.md.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"])}' ) + prod_flow = pyunits.convert( + m.fs.product.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.day, + ) + + print( + f'{"Product flow rate":<30s}{value(prod_flow):<10,.2f}{pyunits.get_units(prod_flow)}' + ) + + disp_flow = pyunits.convert( + m.fs.disposal.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.day, + ) + + print( + f'{"Disposal flow rate":<30s}{value(disp_flow):<10,.2f}{pyunits.get_units(disp_flow)}' + ) + print( f'{"STEC":<30s}{value(active_blks[-1].fs.specific_energy_consumption_thermal):<10.2f}{pyunits.get_units(active_blks[-1].fs.specific_energy_consumption_thermal)}' ) @@ -574,8 +623,15 @@ def report_MD(m): f'{"SEC":<30s}{value(active_blks[-1].fs.specific_energy_consumption_electric):<10.2f}{pyunits.get_units(active_blks[-1].fs.specific_energy_consumption_electric)}' ) - - # TODO: Operating parameters to track + print( + f'{"Overall thermal requirement":<30s}{value(m.fs.md.unit.overall_thermal_power_requirement):<10.2f}{pyunits.get_units(m.fs.md.unit.overall_thermal_power_requirement)}' + ) + + print( + f'{"Overall elec requirement":<30s}{value(m.fs.md.unit.overall_elec_power_requirement):<10.2f}{pyunits.get_units(m.fs.md.unit.overall_elec_power_requirement)}' + ) + + # Operating parameters to track print(f"\n\n-------------------- MD Costing Report --------------------\n") print("\n") @@ -589,7 +645,7 @@ def report_MD(m): ) print( - f'{"Operating Cost":<30s}{value(m.fs.costing.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(m.fs.costing.LCOW)}' + f'{"Fixed Operating Cost":<30s}{value(m.fs.costing.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(m.fs.costing.LCOW)}' ) print( @@ -600,53 +656,71 @@ def report_MD(m): f'{"Aggregated Heat Cost":<30s}{value(m.fs.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(m.fs.costing.aggregate_flow_costs["heat"])}' ) - print( - f'{"Aggregated Electricity Cost":<30s}{value(m.fs.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(m.fs.costing.aggregate_flow_costs["electricity"])}' + f'{"Aggregated Elec Cost":<30s}{value(m.fs.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(m.fs.costing.aggregate_flow_costs["electricity"])}' ) - if __name__ == "__main__": + solver = get_solver() + Qin = 4 * pyunits.Mgal / pyunits.day # KBHDP flow rate Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) - feed_salinity = 12*pyunits.g/pyunits.L + feed_salinity = 12 * pyunits.g / pyunits.L overall_recovery = 0.45 - + n_time_points = None - m, model_options, n_time_points = build_system(overall_recovery, n_time_points=n_time_points) - print('Number of time points being modeled',n_time_points) + m, model_options, n_time_points = build_system( + overall_recovery, n_time_points=n_time_points + ) + print("Number of time points being modeled:", n_time_points) set_system_op_conditions(m.fs, model_options) init_system(m, m.fs.md, model_options, n_time_points) - + set_md_op_conditions(m.fs.md) - + + results = solver.solve(m) + + # Touching variables to solve for volumetric flow rate + m.fs.product.properties[0].flow_vol_phase + m.fs.disposal.properties[0].flow_vol_phase + + # results = solver.solve(m) add_md_costing(m, m.fs.md.unit) + calc_costing(m, m.fs) + + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + + assert degrees_of_freedom(m) == 0 + + results = solver.solve(m) + report_MD(m) - solver = get_solver() # try: # results = solver.solve(m.fs.md) # except ValueError: # # m.fs.md.unit.active_blocks[0].fs.vagmd.display() # print_infeasible_constraints(m) - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - - assert degrees_of_freedom(m) == 0 - results = solver.solve(m) active_blks = m.fs.md.unit.get_active_process_blocks() permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( m.fs, n_time_points, model_options ) - report_MD(m) - + time_period = [i for i in range(n_time_points)] + t_minutes = [value(active_blks[i].fs.dt) * i / 60 for i in range(n_time_points)] + + heat_in = [value(active_blks[i].fs.pre_thermal_power) for i in range(n_time_points)] + + # plt.plot(t_minutes,heat_in) + # plt.show() + # print("\nCalculate n_time points", n_time_points) # print( # "Time step duration:", @@ -660,8 +734,3 @@ def report_MD(m): # print("Number of batches in 24h:", value(no_of_batches)) # m.fs.md.permeate.properties[0].flow_vol_phase.display() - # m.fs.md.permeate.properties[0].flow_mass_phase_comp.display() - - - - From a9d021a12fb0618138dd840ff9f4d697df3404ec Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Tue, 8 Oct 2024 16:22:02 -0600 Subject: [PATCH 013/116] KBHDP_RPT3 built with FPC+MD>DWI and solving --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 208 ++++++++++++------ .../analysis/case_studies/KBHDP/__init__.py | 1 - .../case_studies/KBHDP/components/FPC.py | 202 +++++++++++++++++ .../case_studies/KBHDP/components/MD.py | 115 ++++++---- .../KBHDP/components/deep_well_injection.py | 12 +- 5 files changed, 414 insertions(+), 124 deletions(-) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 91b447a3..b8af07a8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -34,74 +34,33 @@ from idaes.core.util.model_statistics import * from watertap.core.util.model_diagnostics.infeasible import * -from watertap.core.zero_order_properties import WaterParameterBlock from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock from watertap_contrib.reflo.costing import ( TreatmentCosting, EnergyCosting, REFLOCosting, + REFLOSystemCosting, ) -from watertap.costing.zero_order_costing import ZeroOrderCosting -from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import * - -# Flowsheet function imports -from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import ( - build_vagmd_flowsheet, - fix_dof_and_initialize, -) - -from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_design_model import ( - get_n_time_points, -) -from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.MD import * - - -# TODO: Add translator block after feed block -# TODO: Add opex calculator at each time step and capex on the last time step - -__all__ = [ - "build_system", - "add_connections", - "add_constraints", - "add_costing", - "relax_constraints", - "set_inlet_conditions", - "set_operating_conditions", - "report_MCAS_stream_conc", - "display_system_stream_table", - "display_system_build", - "init_system", -] +from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.FPC import * +from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.deep_well_injection import * def propagate_state(arc): _prop_state(arc) -def main(): - - m, model_options, n_time_points = build_system() - add_connections(m) - - # add_constraints(m) - - set_operating_conditions(m) - init_system(m) - add_costing(m) - solve(m) - - display_costing_breakdown(m) - - -def build_system(): +def build_system(inlet_cond, n_time_points): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) - # m.fs.costing = REFLOCosting() - # m.fs.costing.base_currency = pyunits.USD_2020 + m.fs.treatment = Block() + m.fs.energy = Block() + + m.fs.treatment.costing = TreatmentCosting() + m.fs.energy.costing = EnergyCosting() # Property package m.fs.params = SeawaterParameterBlock() @@ -109,26 +68,34 @@ def build_system(): # Create feed, product and concentrate state blocks m.fs.feed = Feed(property_package=m.fs.params) m.fs.product = Product(property_package=m.fs.params) - m.fs.disposal = Product(property_package=m.fs.params) + # m.fs.disposal = Product(property_package=m.fs.params) # Create MD unit model at flowsheet level - m.fs.md = FlowsheetBlock(dynamic=False) - model_options, n_time_points = build_md(m, m.fs.md) - # m.fs.dwi = FlowsheetBlock(dynamic=False) + m.fs.treatment.md = FlowsheetBlock(dynamic=False) + model_options, n_time_points = build_md(m, m.fs.treatment.md, inlet_cond, n_time_points) + m.fs.treatment.dwi = FlowsheetBlock(dynamic=False) + build_DWI(m, m.fs.treatment.dwi, m.fs.params) + build_fpc(m.fs.energy) + + add_connections(m) return m, model_options, n_time_points def add_connections(m): - m.fs.feed_to_md = Arc(source=m.fs.feed.outlet, destination=m.fs.md.feed.inlet) + m.fs.feed_to_md = Arc( + source=m.fs.feed.outlet, + destination=m.fs.treatment.md.feed.inlet) m.fs.md_to_product = Arc( - source=m.fs.md.permeate.outlet, destination=m.fs.product.inlet + source=m.fs.treatment.md.permeate.outlet, + destination=m.fs.product.inlet ) - m.fs.md_to_disposal = Arc( - source=m.fs.md.concentrate.outlet, destination=m.fs.disposal.inlet + m.fs.md_to_dwi = Arc( + source=m.fs.treatment.md.concentrate.outlet, + destination=m.fs.treatment.dwi.unit.inlet ) TransformationFactory("network.expand_arcs").apply_to(m) @@ -174,16 +141,48 @@ def add_constraints(m): m.fs.feed.properties[0].conc_mass_phase_comp m.fs.product.properties[0].conc_mass_phase_comp - m.fs.disposal.properties[0].conc_mass_phase_comp - m.fs.MCAS_to_NaCl_translator.properties_in[0.0].conc_mass_phase_comp - m.fs.MCAS_to_NaCl_translator.properties_out[0.0].conc_mass_phase_comp + # m.fs.disposal.properties[0].conc_mass_phase_comp + +def add_energy_constraints(m): + + @m.Constraint() + def eq_thermal_req(b): + return (b.fs.energy.costing.aggregate_flow_heat <= + -1*b.fs.treatment.costing.aggregate_flow_heat + ) + +def add_costing(m,treatment_costing_block, energy_costing_block): + add_fpc_costing(m.fs.energy ,energy_costing_block) + add_md_costing(m.fs.treatment.md.unit,treatment_costing_block) + add_DWI_costing(m, m.fs.treatment.dwi, treatment_costing_block) + +def calc_costing(m): + # Treatment costing -# def add_costing(m): + m.fs.treatment.costing.total_investment_factor.fix(1) + m.fs.treatment.costing.maintenance_labor_chemical_factor.fix(0) + m.fs.treatment.costing.capital_recovery_factor.fix(0.08764) + m.fs.treatment.costing.wacc.unfix() + m.fs.treatment.costing.cost_process() -# m.fs.costing.cost_process() -# m.fs.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) -# m.fs.costing.add_LCOW(m.fs.product.properties[0].flow_vol) + m.fs.treatment.costing.initialize() + + m.fs.treatment.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) + m.fs.treatment.costing.add_LCOW(m.fs.product.properties[0].flow_vol) + + # Energy costing + m.fs.energy.costing.maintenance_labor_chemical_factor.fix(0) + m.fs.energy.costing.total_investment_factor.fix(1) + m.fs.energy.costing.cost_process() + + m.fs.energy.costing.initialize() + + m.fs.energy.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) + m.fs.energy.costing.add_LCOW(m.fs.product.properties[0].flow_vol) + + # m.fs.sys_costing = REFLOSystemCosting() + # m.fs.sys_costing.add_LCOW(m.fs.product.properties[0].flow_vol) def set_inlet_conditions(blk, model_options): @@ -207,14 +206,14 @@ def set_inlet_conditions(blk, model_options): ) -def set_operating_conditions(m, model_options): +def set_operating_conditions(m): - set_inlet_conditions(m.fs, model_options) - init_md(m.fs.md, model_options, n_time_points, verbose=True, solver=None) - set_md_op_conditions(m.fs.md) + set_md_op_conditions(m.fs.treatment.md) + set_fpc_op_conditions(m.fs.energy) + # m.fs.energy.fpc.heat_load.unfix() -def init_system(m, verbose=True, solver=None): +def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None): if solver is None: solver = get_solver() @@ -224,6 +223,19 @@ def init_system(m, verbose=True, solver=None): print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") m.fs.feed.initialize() + propagate_state(m.fs.feed_to_md) + + init_md(blk.treatment.md, model_options, n_time_points) + + propagate_state(m.fs.md_to_product) + m.fs.product.initialize() + + propagate_state(m.fs.md_to_dwi) + # m.fs.disposal.initialize() + + init_DWI(m, blk.treatment.dwi, verbose=True, solver=None) + + init_fpc(blk.energy) def solve(m, solver=None, tee=True, raise_on_failure=True): @@ -252,4 +264,58 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): if __name__ == "__main__": - main() + + solver = get_solver() + solver = SolverFactory("ipopt") + + Qin = 4 * pyunits.Mgal / pyunits.day # KBHDP flow rate + Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) + + feed_salinity = 12 * pyunits.g / pyunits.L + + overall_recovery = 0.45 + + inlet_cond = {'inlet_flow_rate': Qin, + "inlet_salinity": feed_salinity, + "recovery": overall_recovery} + + n_time_points = 2 + + # Build MD, DWI and FPC + m, model_options, n_time_points = build_system(inlet_cond, n_time_points=n_time_points) + set_inlet_conditions(m.fs, model_options) + + init_system(m, m.fs, model_options, n_time_points) + + set_operating_conditions(m) + + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + + results = solver.solve(m) + + # Touching variables to solve for volumetric flow rate + m.fs.product.properties[0].flow_vol_phase + # m.fs.disposal.properties[0].flow_vol_phase + + add_costing(m, treatment_costing_block = m.fs.treatment.costing, + energy_costing_block = m.fs.energy.costing) + calc_costing(m) + + add_energy_constraints(m) + + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + + + results = solver.solve(m) + + m.fs.obj = Objective(expr=m.fs.energy.costing.LCOW) + results = solver.solve(m) + + report_MD(m, m.fs.treatment.md) + report_md_costing(m,m.fs.treatment) + + print_DWI_costing_breakdown(m, m.fs.treatment.dwi) + + report_fpc(m,m.fs.energy.fpc) + report_fpc_costing(m, m.fs.energy) + diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/__init__.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/__init__.py index 03cdaaa5..dfc3c948 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/__init__.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/__init__.py @@ -1,2 +1 @@ from .components import * -from .KBHDP_SOA import * diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py new file mode 100644 index 00000000..c2df8e9a --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -0,0 +1,202 @@ +from pyomo.environ import ( + ConcreteModel, + value, + assert_optimal_termination, + units as pyunits, + Block, + Constraint, + SolverFactory, +) +import os + +from idaes.core import FlowsheetBlock, UnitModelCostingBlock +from idaes.core.solvers import get_solver + +from watertap.core.util.model_diagnostics.infeasible import * +from idaes.core.util.scaling import * + +from watertap_contrib.reflo.solar_models.surrogate.flat_plate.flat_plate_surrogate import ( + FlatPlateSurrogate, +) + +from idaes.core.util.model_statistics import ( + degrees_of_freedom, + number_variables, + number_total_constraints, + number_unused_variables, +) + +from watertap_contrib.reflo.costing import ( + EnergyCosting, +) + + +def build_system(): + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + m.fs.costing = EnergyCosting() + + m.fs.system_capacity = Var( + initialize = 6000, + units = pyunits.m**3/pyunits.day + ) + + return m + + +def build_fpc(blk, __file__=None): + + print(f'\n{"=======> BUILDING FPC SYSTEM <=======":^60}\n') + + if __file__ == None: + __file__ = r"\Users\mhardika\Documents\watertap_seto\watertap-seto\src\watertap_contrib\reflo\solar_models\surrogate\flat_plate\\" + + dataset_filename = os.path.join( + os.path.dirname(__file__), r"data\test_flat_plate_data.pkl" + ) + surrogate_filename = os.path.join( + os.path.dirname(__file__), r"flat_plate_surrogate.json" + ) + + input_bounds = dict( + heat_load=[100, 1000], hours_storage=[0, 26], temperature_hot=[50, 100] + ) + input_units = dict(heat_load="MW", hours_storage="hour", temperature_hot="degK") + input_variables = { + "labels": ["heat_load", "hours_storage", "temperature_hot"], + "bounds": input_bounds, + "units": input_units, + } + + output_units = dict(heat_annual_scaled="kWh", electricity_annual_scaled="kWh") + output_variables = { + "labels": ["heat_annual_scaled", "electricity_annual_scaled"], + "units": output_units, + } + fpc_dict = dict( + dataset_filename=dataset_filename, + input_variables=input_variables, + output_variables=output_variables, + scale_training_data=True, + ) + + blk.fpc = FlatPlateSurrogate(**fpc_dict) + + +def init_fpc(blk): + blk.fpc.initialize() + +def set_system_op_conditions(m): + m.fs.system_capacity.fix() + +def set_fpc_op_conditions(blk): + + blk.fpc.hours_storage.fix(4) + # Assumes the hot temperature to the inlet of a 'MD HX' + blk.fpc.temperature_hot.fix(77) + # Assumes the cold temperature from the outlet temperature of a 'MD HX' + blk.fpc.temperature_cold.set_value(75) + + +def add_fpc_costing(blk, costing_block): + blk.fpc.costing = UnitModelCostingBlock(flowsheet_costing_block=costing_block) + + +def calc_costing(m, blk): + blk.costing.maintenance_labor_chemical_factor.fix(0) + blk.costing.total_investment_factor.fix(1) + blk.costing.cost_process() + blk.costing.initialize() + + # TODO: Connect to the treatment volume + blk.costing.add_LCOW(m.fs.system_capacity) + +def report_fpc(m, blk): + # blk = m.fs.fpc + print(f"\n\n-------------------- FPC Report --------------------\n") + print("\n") + + print( + f'{"Number of collectors":<30s}{value(blk.number_collectors):<20,.2f}{pyunits.get_units(blk.number_collectors)}' + ) + + print( + f'{"Collector area":<30s}{value(blk.collector_area_total):<20,.2f}{pyunits.get_units(blk.collector_area_total)}' + ) + + print( + f'{"Storage volume":<30s}{value(blk.storage_volume):<20,.2f}{pyunits.get_units(blk.storage_volume)}' + ) + + + print( + f'{"Heat load":<30s}{value(blk.heat_load):<20,.2f}{pyunits.get_units(blk.heat_load)}' + ) + + print( + f'{"Heat annual":<30s}{value(blk.heat_annual):<20,.2f}{pyunits.get_units(blk.heat_annual)}' + ) + + + print( + f'{"Electricity annual":<30s}{value(blk.electricity_annual):<20,.2f}{pyunits.get_units(blk.electricity_annual)}' + ) + + +def report_fpc_costing(m, blk): + print(f"\n\n-------------------- FPC Costing Report --------------------\n") + print("\n") + + print( + f'{"LCOW":<30s}{value(blk.costing.LCOW):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + ) + + print( + f'{"Capital Cost":<30s}{value(blk.costing.aggregate_capital_cost):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + ) + + print( + f'{"Fixed Operating Cost":<30s}{value(blk.costing.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + ) + + print( + f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + ) + + print( + f'{"Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' + ) + + print( + f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' + ) + + print( + f'{"Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' + ) + +if __name__ == "__main__": + + solver = get_solver() + solver = SolverFactory("ipopt") + + m = build_system() + + build_fpc(m.fs) + init_fpc(m.fs) + set_fpc_op_conditions(m.fs) + + # TODO: Connect to overall_thermal_requirement + m.fs.fpc.heat_load.fix(10) + + results = solver.solve(m) + add_fpc_costing(m.fs,costing_block = m.fs.costing) + calc_costing(m,m.fs) + + results = solver.solve(m) + + # print("LCOW:", m.fs.costing.LCOW()) + + report_fpc(m,m.fs.fpc) + report_fpc_costing(m, m.fs) + # m.fs.costing.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 489735b0..24f6be99 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -67,9 +67,10 @@ def propagate_state(arc): _prop_state(arc) -def build_system(overall_recovery=0.5, n_time_points=None): +def build_system(inlet_cond, n_time_points=None): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) + m.fs.costing = TreatmentCosting() # Property package m.fs.params = SeawaterParameterBlock() @@ -81,7 +82,7 @@ def build_system(overall_recovery=0.5, n_time_points=None): # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) - model_options, n_time_points = build_md(m, m.fs.md, overall_recovery, n_time_points) + model_options, n_time_points = build_md(m, m.fs.md, inlet_cond, n_time_points) add_connections(m) return m, model_options, n_time_points @@ -103,13 +104,13 @@ def add_connections(m): def set_md_model_options( - feed_flow_rate, feed_salinity, overall_recovery, n_time_points=None + inlet_cond, n_time_points=None ): - system_capacity = overall_recovery * pyunits.convert( - feed_flow_rate, to_units=pyunits.m**3 / pyunits.day + system_capacity = inlet_cond['recovery'] * pyunits.convert( + inlet_cond['inlet_flow_rate'], to_units=pyunits.m**3 / pyunits.day ) - feed_salinity = pyunits.convert(feed_salinity, to_units=pyunits.g / pyunits.L) + feed_salinity = pyunits.convert(inlet_cond['inlet_salinity'], to_units=pyunits.g / pyunits.L) model_options = { "dt": None, @@ -134,7 +135,7 @@ def set_md_model_options( cond_inlet_temp=model_options["cond_inlet_temp"], feed_temp=model_options["feed_temp"], feed_salinity=model_options["feed_salinity"], - recovery_ratio=overall_recovery, + recovery_ratio=inlet_cond['recovery'], initial_batch_volume=model_options["initial_batch_volume"], module_type=model_options["module_type"], cooling_system_type=model_options["cooling_system_type"], @@ -144,7 +145,7 @@ def set_md_model_options( return model_options, n_time_points -def build_md(m, blk, overall_recovery=0.5, n_time_points=None) -> None: +def build_md(m, blk, inlet_cond, n_time_points=None) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') @@ -155,7 +156,7 @@ def build_md(m, blk, overall_recovery=0.5, n_time_points=None) -> None: blk.concentrate = StateJunction(property_package=m.fs.params) model_options, n_time_points = set_md_model_options( - Qin, feed_salinity, overall_recovery, n_time_points + inlet_cond, n_time_points ) # Build the multiperiod object for MD @@ -172,6 +173,8 @@ def build_md(m, blk, overall_recovery=0.5, n_time_points=None) -> None: def init_md(blk, model_options, n_time_points, verbose=True, solver=None): + # blk = m.fs.md + blk.feed.properties[0]._flow_vol_phase() blk.feed.properties[0]._conc_mass_phase_comp() @@ -190,7 +193,7 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): unfix_dof_options={"feed_flow_rate": feed_flow_rate}, ) - add_performance_constraints(m, blk.unit, model_options) + add_performance_constraints(blk.unit, model_options) blk.unit.system_capacity.fix(model_options["system_capacity"]) @@ -334,11 +337,11 @@ def set_md_op_conditions(blk): # feed_salinity = model_options["feed_salinity"] # feed_temp = model_options["feed_temp"] feed_flow_rate = pyunits.convert( - m.fs.md.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h + blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h )() - feed_salinity = m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"]() - feed_temp = pyunits.convert_temp_K_to_C(m.fs.md.feed.properties[0].temperature()) + feed_salinity = blk.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"]() + feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") print("Feed flow rate in L/h:", feed_flow_rate) @@ -401,7 +404,7 @@ def md_output(blk, n_time_points, model_options): return permeate_flow_rate, brine_flow_rate, brine_salinity -def add_performance_constraints(m, blk, model_options): +def add_performance_constraints(blk, model_options): # Create accumlative energy terms blk.system_capacity = Var( @@ -452,7 +455,7 @@ def eq_elec_power_requirement(b): iscale.set_scaling_factor(blk.overall_elec_power_requirement, 1e-3) -def add_md_costing(m, blk): +def add_md_costing(blk, costing_block): """ This function adds costing module to the target multiperiod module mp, by adding the unit costing package to the last time step, @@ -465,11 +468,10 @@ def add_md_costing(m, blk): Returns: object: A costing module associated to the multiperiod module """ - m.fs.costing = REFLOCosting() # blk.system_capacity.fix() # Specify the last time step vagmd = blk.get_active_process_blocks()[-1].fs.vagmd - vagmd.costing = UnitModelCostingBlock(flowsheet_costing_block=m.fs.costing) + vagmd.costing = UnitModelCostingBlock(flowsheet_costing_block=costing_block) # Overwrite the thermal and electric energy flow with the accumulated values vagmd.costing.costing_package.cost_flow( @@ -546,9 +548,10 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): return results -def report_MD(m): +def report_MD(m,blk): - active_blks = m.fs.md.unit.get_active_process_blocks() + # blk = m.fs.md + active_blks =blk.unit.get_active_process_blocks() print(f"\n\n-------------------- MD Operations Report --------------------\n") print("\n") @@ -562,7 +565,7 @@ def report_MD(m): ) print( - f'{"MD Period 1 Feed salinity":<30s}{value(m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.md.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + f'{"MD Period 1 Feed salinity":<30s}{value(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' ) print( @@ -576,7 +579,7 @@ def report_MD(m): ) perm_flow = pyunits.convert( - m.fs.md.permeate.properties[0].flow_vol_phase["Liq"], + blk.permeate.properties[0].flow_vol_phase["Liq"], to_units=pyunits.m**3 / pyunits.day, ) @@ -585,7 +588,7 @@ def report_MD(m): ) conc_flow = pyunits.convert( - m.fs.md.concentrate.properties[0].flow_vol_phase["Liq"], + blk.concentrate.properties[0].flow_vol_phase["Liq"], to_units=pyunits.m**3 / pyunits.day, ) @@ -594,7 +597,7 @@ def report_MD(m): ) print( - f'{"Concentrate concentration":<30s}{value(m.fs.md.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.md.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + f'{"Concentrate concentration":<30s}{value(blk.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(blk.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"])}' ) prod_flow = pyunits.convert( @@ -602,18 +605,18 @@ def report_MD(m): to_units=pyunits.m**3 / pyunits.day, ) - print( - f'{"Product flow rate":<30s}{value(prod_flow):<10,.2f}{pyunits.get_units(prod_flow)}' - ) + # print( + # f'{"Product flow rate":<30s}{value(prod_flow):<10,.2f}{pyunits.get_units(prod_flow)}' + # ) - disp_flow = pyunits.convert( - m.fs.disposal.properties[0].flow_vol_phase["Liq"], - to_units=pyunits.m**3 / pyunits.day, - ) + # disp_flow = pyunits.convert( + # m.fs.disposal.properties[0].flow_vol_phase["Liq"], + # to_units=pyunits.m**3 / pyunits.day, + # ) - print( - f'{"Disposal flow rate":<30s}{value(disp_flow):<10,.2f}{pyunits.get_units(disp_flow)}' - ) + # print( + # f'{"Disposal flow rate":<30s}{value(disp_flow):<10,.2f}{pyunits.get_units(disp_flow)}' + # ) print( f'{"STEC":<30s}{value(active_blks[-1].fs.specific_energy_consumption_thermal):<10.2f}{pyunits.get_units(active_blks[-1].fs.specific_energy_consumption_thermal)}' @@ -624,40 +627,47 @@ def report_MD(m): ) print( - f'{"Overall thermal requirement":<30s}{value(m.fs.md.unit.overall_thermal_power_requirement):<10.2f}{pyunits.get_units(m.fs.md.unit.overall_thermal_power_requirement)}' + f'{"Overall thermal requirement":<30s}{value(blk.unit.overall_thermal_power_requirement):<10.2f}{pyunits.get_units(blk.unit.overall_thermal_power_requirement)}' ) print( - f'{"Overall elec requirement":<30s}{value(m.fs.md.unit.overall_elec_power_requirement):<10.2f}{pyunits.get_units(m.fs.md.unit.overall_elec_power_requirement)}' + f'{"Overall elec requirement":<30s}{value(blk.unit.overall_elec_power_requirement):<10.2f}{pyunits.get_units(blk.unit.overall_elec_power_requirement)}' ) - # Operating parameters to track + +def report_md_costing(m,blk): + + active_blks =blk.md.unit.get_active_process_blocks() print(f"\n\n-------------------- MD Costing Report --------------------\n") print("\n") print( - f'{"LCOW":<30s}{value(m.fs.costing.LCOW):<20.5f}{pyunits.get_units(m.fs.costing.LCOW)}' + f'{"Capital Cost":<30s}{value(blk.costing.aggregate_capital_cost):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' ) print( - f'{"Capital Cost":<30s}{value(m.fs.costing.aggregate_capital_cost):<20,.2f}{pyunits.get_units(m.fs.costing.LCOW)}' + f'{"Fixed Operating Cost":<30s}{value(blk.costing.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' ) print( - f'{"Fixed Operating Cost":<30s}{value(m.fs.costing.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(m.fs.costing.LCOW)}' + f'{"Membrane Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.module_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.module_cost)}' ) print( - f'{"Membrane Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.module_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.module_cost)}' + f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + ) + + print( + f'{"Aggregated Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' ) print( - f'{"Aggregated Heat Cost":<30s}{value(m.fs.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(m.fs.costing.aggregate_flow_costs["heat"])}' + f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' ) print( - f'{"Aggregated Elec Cost":<30s}{value(m.fs.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(m.fs.costing.aggregate_flow_costs["electricity"])}' + f'{"Aggregated Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' ) @@ -672,9 +682,14 @@ def report_MD(m): overall_recovery = 0.45 - n_time_points = None + inlet_cond = {'inlet_flow_rate': Qin, + "inlet_salinity": feed_salinity, + "recovery": overall_recovery} + + + n_time_points = 2 #None m, model_options, n_time_points = build_system( - overall_recovery, n_time_points=n_time_points + inlet_cond, n_time_points=n_time_points ) print("Number of time points being modeled:", n_time_points) @@ -691,7 +706,7 @@ def report_MD(m): # results = solver.solve(m) - add_md_costing(m, m.fs.md.unit) + add_md_costing(m.fs.md.unit,costing_block=m.fs.costing) calc_costing(m, m.fs) print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") @@ -699,7 +714,15 @@ def report_MD(m): assert degrees_of_freedom(m) == 0 results = solver.solve(m) - report_MD(m) + + print( + f'{"LCOW":<30s}{value(m.fs.md.unit.costing.LCOW):<20.5f}{pyunits.get_units(m.fs.md.unit.costing.LCOW)}' + ) + + report_MD(m, m.fs.md) + report_md_costing(m,m.fs) + + # try: # results = solver.solve(m.fs.md) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py index 924f083d..84e4790f 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py @@ -71,7 +71,7 @@ def propagate_state(arc): def build_DWI(m, blk, prop_package) -> None: print(f'\n{"=======> BUILDING DEEP WELL INJECTION SYSTEM <=======":^60}\n') - blk.unit = DeepWellInjection(property_package=m.fs.properties) + blk.unit = DeepWellInjection(property_package=prop_package) def set_DWI_op_conditions(blk): @@ -121,9 +121,9 @@ def init_DWI(m, blk, verbose=True, solver=None): blk.unit.initialize(optarg=optarg, outlvl=idaeslogger.INFO) -def add_DWI_costing(m, blk): +def add_DWI_costing(m, blk, costing_block): blk.unit.costing = UnitModelCostingBlock( - flowsheet_costing_block=m.fs.costing, + flowsheet_costing_block= costing_block, ) @@ -136,11 +136,11 @@ def report_DWI(m, blk): def print_DWI_costing_breakdown(m, blk): - print(f"\n\n-------------------- UF Costing Breakdown --------------------\n") + print(f"\n\n-------------------- DWI Costing Breakdown --------------------\n") print("\n") print(f'{"Capital Cost":<30s}{f"${blk.unit.costing.capital_cost():<25,.0f}"}') # print( - # f'{"Capital Cost":<30s}{f"${blk.unit.costing.fixed_operating_cost():<25,.0f}"}' + # f'{"Fixed Operating Cost":<30s}{f"${blk.unit.costing.fixed_operating_cost():<25,.0f}"}' # ) @@ -198,5 +198,5 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): m.fs.costing.cost_process() solve(m) - report_DWI(m, m.fs.DWI) + report_DWI(m, m.fs.DWI, m.fs.costing) print_DWI_costing_breakdown(m, m.fs.DWI) From 353b672280752370b9709037daae8cf591657b25 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 10 Oct 2024 10:47:04 -0600 Subject: [PATCH 014/116] updates to dwi, fpc component, MD report, --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 150 +++++++++++++----- .../case_studies/KBHDP/components/FPC.py | 62 +++++--- .../case_studies/KBHDP/components/MD.py | 69 ++++---- .../KBHDP/components/deep_well_injection.py | 22 +-- .../costing/units/deep_well_injection.py | 6 +- .../costing/watertap_reflo_costing_package.py | 16 +- .../data/flat_plate_data_heat_load_5_200.pkl | Bin 0 -> 393985 bytes .../flat_plate/data/pysam_run_flat_plate.py | 12 +- .../data/training_flat_plate_surrogate.py | 4 +- .../flat_plate/flat_plate_surrogate.json | 2 +- 10 files changed, 224 insertions(+), 119 deletions(-) create mode 100644 src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/flat_plate_data_heat_load_5_200.pkl diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index b8af07a8..b9fdc77a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -72,11 +72,14 @@ def build_system(inlet_cond, n_time_points): # Create MD unit model at flowsheet level m.fs.treatment.md = FlowsheetBlock(dynamic=False) - model_options, n_time_points = build_md(m, m.fs.treatment.md, inlet_cond, n_time_points) + model_options, n_time_points = build_md( + m, m.fs.treatment.md, inlet_cond, n_time_points + ) m.fs.treatment.dwi = FlowsheetBlock(dynamic=False) build_DWI(m, m.fs.treatment.dwi, m.fs.params) - build_fpc(m.fs.energy) + m.fs.energy.fpc = FlowsheetBlock(dynamic=False) + build_fpc(m.fs.energy.fpc) add_connections(m) return m, model_options, n_time_points @@ -85,22 +88,22 @@ def build_system(inlet_cond, n_time_points): def add_connections(m): m.fs.feed_to_md = Arc( - source=m.fs.feed.outlet, - destination=m.fs.treatment.md.feed.inlet) + source=m.fs.feed.outlet, destination=m.fs.treatment.md.feed.inlet + ) m.fs.md_to_product = Arc( - source=m.fs.treatment.md.permeate.outlet, - destination=m.fs.product.inlet + source=m.fs.treatment.md.permeate.outlet, destination=m.fs.product.inlet ) m.fs.md_to_dwi = Arc( - source=m.fs.treatment.md.concentrate.outlet, - destination=m.fs.treatment.dwi.unit.inlet + source=m.fs.treatment.md.concentrate.outlet, + destination=m.fs.treatment.dwi.unit.inlet, ) TransformationFactory("network.expand_arcs").apply_to(m) +# TODO: Should the recovery be a constraint of a variable thats fixed? def add_constraints(m): m.fs.water_recovery = Var( initialize=0.5, @@ -143,19 +146,23 @@ def add_constraints(m): m.fs.product.properties[0].conc_mass_phase_comp # m.fs.disposal.properties[0].conc_mass_phase_comp + def add_energy_constraints(m): @m.Constraint() def eq_thermal_req(b): - return (b.fs.energy.costing.aggregate_flow_heat <= - -1*b.fs.treatment.costing.aggregate_flow_heat + return ( + b.fs.energy.costing.aggregate_flow_heat + <= -1 * b.fs.treatment.costing.aggregate_flow_heat ) -def add_costing(m,treatment_costing_block, energy_costing_block): - add_fpc_costing(m.fs.energy ,energy_costing_block) - add_md_costing(m.fs.treatment.md.unit,treatment_costing_block) - add_DWI_costing(m, m.fs.treatment.dwi, treatment_costing_block) - + +def add_costing(m, treatment_costing_block, energy_costing_block): + add_fpc_costing(m.fs.energy.fpc, energy_costing_block) + add_md_costing(m.fs.treatment.md.unit, treatment_costing_block) + add_DWI_costing(m.fs.treatment, m.fs.treatment.dwi, treatment_costing_block) + + def calc_costing(m): # Treatment costing @@ -167,8 +174,10 @@ def calc_costing(m): m.fs.treatment.costing.cost_process() m.fs.treatment.costing.initialize() - - m.fs.treatment.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) + + m.fs.treatment.costing.add_annual_water_production( + m.fs.product.properties[0].flow_vol + ) m.fs.treatment.costing.add_LCOW(m.fs.product.properties[0].flow_vol) # Energy costing @@ -181,8 +190,13 @@ def calc_costing(m): m.fs.energy.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) m.fs.energy.costing.add_LCOW(m.fs.product.properties[0].flow_vol) - # m.fs.sys_costing = REFLOSystemCosting() - # m.fs.sys_costing.add_LCOW(m.fs.product.properties[0].flow_vol) + # System costing + m.fs.sys_costing = REFLOSystemCosting() + m.fs.sys_costing.wacc.unfix() + m.fs.sys_costing.cost_process() + + m.fs.sys_costing.initialize() + m.fs.sys_costing.add_LCOW(m.fs.product.properties[0].flow_vol) def set_inlet_conditions(blk, model_options): @@ -209,8 +223,7 @@ def set_inlet_conditions(blk, model_options): def set_operating_conditions(m): set_md_op_conditions(m.fs.treatment.md) - set_fpc_op_conditions(m.fs.energy) - # m.fs.energy.fpc.heat_load.unfix() + set_fpc_op_conditions(m.fs.energy.fpc) def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None): @@ -235,7 +248,7 @@ def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None) init_DWI(m, blk.treatment.dwi, verbose=True, solver=None) - init_fpc(blk.energy) + init_fpc(blk.energy.fpc) def solve(m, solver=None, tee=True, raise_on_failure=True): @@ -263,6 +276,34 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): return results +def report_sys_costing(blk): + + print(f"\n\n-------------------- System Costing Report --------------------\n") + print("\n") + + print(f'{"LCOW":<30s}{value(blk.LCOW):<20,.2f}{pyunits.get_units(blk.LCOW)}') + + print( + f'{"Capital Cost":<30s}{value(blk.total_capital_cost):<20,.2f}{pyunits.get_units(blk.total_capital_cost)}' + ) + + print( + f'{"Total Operating Cost":<30s}{value(blk.total_operating_cost):<20,.2f}{pyunits.get_units(blk.total_operating_cost)}' + ) + + print( + f'{"Agg Variable Operating Cost":<30s}{value(blk.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.aggregate_variable_operating_cost)}' + ) + + print( + f'{"Heat flow":<30s}{value(blk.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.aggregate_flow_heat)}' + ) + + print( + f'{"Elec Flow":<30s}{value(blk.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.aggregate_flow_electricity)}' + ) + + if __name__ == "__main__": solver = get_solver() @@ -275,21 +316,25 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): overall_recovery = 0.45 - inlet_cond = {'inlet_flow_rate': Qin, - "inlet_salinity": feed_salinity, - "recovery": overall_recovery} - + inlet_cond = { + "inlet_flow_rate": Qin, + "inlet_salinity": feed_salinity, + "recovery": overall_recovery, + } + n_time_points = 2 # Build MD, DWI and FPC - m, model_options, n_time_points = build_system(inlet_cond, n_time_points=n_time_points) + m, model_options, n_time_points = build_system( + inlet_cond, n_time_points=n_time_points + ) set_inlet_conditions(m.fs, model_options) init_system(m, m.fs, model_options, n_time_points) set_operating_conditions(m) - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + print(f"\n Before Costing System Degrees of Freedom: {degrees_of_freedom(m)}") results = solver.solve(m) @@ -297,25 +342,58 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): m.fs.product.properties[0].flow_vol_phase # m.fs.disposal.properties[0].flow_vol_phase - add_costing(m, treatment_costing_block = m.fs.treatment.costing, - energy_costing_block = m.fs.energy.costing) + add_costing( + m, + treatment_costing_block=m.fs.treatment.costing, + energy_costing_block=m.fs.energy.costing, + ) calc_costing(m) add_energy_constraints(m) - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - + print(f"\n After Costing System Degrees of Freedom: {degrees_of_freedom(m)}") results = solver.solve(m) + print(f"\n After Solve System Degrees of Freedom: {degrees_of_freedom(m)}") + m.fs.obj = Objective(expr=m.fs.energy.costing.LCOW) results = solver.solve(m) + print(f"\n After Optimization System Degrees of Freedom: {degrees_of_freedom(m)}") + + print("\n") + print( + f'{"Treatment LCOW":<30s}{value(m.fs.treatment.costing.LCOW):<10.2f}{pyunits.get_units(m.fs.treatment.costing.LCOW)}' + ) + + print("\n") + print( + f'{"Energy LCOW":<30s}{value(m.fs.energy.costing.LCOW):<10.2f}{pyunits.get_units(m.fs.energy.costing.LCOW)}' + ) + + print("\n") + print( + f'{"System LCOW":<30s}{value(m.fs.sys_costing.LCOW):<10.2f}{pyunits.get_units(m.fs.sys_costing.LCOW)}' + ) + report_MD(m, m.fs.treatment.md) - report_md_costing(m,m.fs.treatment) + report_md_costing(m, m.fs.treatment) - print_DWI_costing_breakdown(m, m.fs.treatment.dwi) + print_DWI_costing_breakdown(m.fs.treatment, m.fs.treatment.dwi) - report_fpc(m,m.fs.energy.fpc) + report_fpc(m, m.fs.energy.fpc.unit) report_fpc_costing(m, m.fs.energy) - + report_sys_costing(m.fs.sys_costing) + + print("\nTreatment") + m.fs.treatment.costing.aggregate_fixed_operating_cost.display() + m.fs.treatment.costing.aggregate_variable_operating_cost.display() + m.fs.treatment.costing.total_operating_cost.display() + m.fs.treatment.costing.total_capital_cost.display() + + print("\nEnergy") + m.fs.energy.costing.aggregate_fixed_operating_cost.display() + m.fs.energy.costing.aggregate_variable_operating_cost.display() + m.fs.energy.costing.total_capital_cost.display() + m.fs.energy.costing.total_operating_cost.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index c2df8e9a..0dcc561c 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -36,10 +36,9 @@ def build_system(): m.fs = FlowsheetBlock(dynamic=False) m.fs.costing = EnergyCosting() - m.fs.system_capacity = Var( - initialize = 6000, - units = pyunits.m**3/pyunits.day - ) + m.fs.system_capacity = Var(initialize=6000, units=pyunits.m**3 / pyunits.day) + + m.fs.fpc = FlowsheetBlock(dynamic=False) return m @@ -52,14 +51,14 @@ def build_fpc(blk, __file__=None): __file__ = r"\Users\mhardika\Documents\watertap_seto\watertap-seto\src\watertap_contrib\reflo\solar_models\surrogate\flat_plate\\" dataset_filename = os.path.join( - os.path.dirname(__file__), r"data\test_flat_plate_data.pkl" + os.path.dirname(__file__), r"data\flat_plate_data_heat_load_5_200.pkl" ) surrogate_filename = os.path.join( os.path.dirname(__file__), r"flat_plate_surrogate.json" ) input_bounds = dict( - heat_load=[100, 1000], hours_storage=[0, 26], temperature_hot=[50, 100] + heat_load=[5, 200], hours_storage=[0, 26], temperature_hot=[50, 100] ) input_units = dict(heat_load="MW", hours_storage="hour", temperature_hot="degK") input_variables = { @@ -80,26 +79,28 @@ def build_fpc(blk, __file__=None): scale_training_data=True, ) - blk.fpc = FlatPlateSurrogate(**fpc_dict) + blk.unit = FlatPlateSurrogate(**fpc_dict) def init_fpc(blk): - blk.fpc.initialize() + blk.unit.initialize() + def set_system_op_conditions(m): m.fs.system_capacity.fix() + def set_fpc_op_conditions(blk): - blk.fpc.hours_storage.fix(4) + blk.unit.hours_storage.fix(4) # Assumes the hot temperature to the inlet of a 'MD HX' - blk.fpc.temperature_hot.fix(77) + blk.unit.temperature_hot.fix(77) # Assumes the cold temperature from the outlet temperature of a 'MD HX' - blk.fpc.temperature_cold.set_value(75) + blk.unit.temperature_cold.set_value(75) def add_fpc_costing(blk, costing_block): - blk.fpc.costing = UnitModelCostingBlock(flowsheet_costing_block=costing_block) + blk.unit.costing = UnitModelCostingBlock(flowsheet_costing_block=costing_block) def calc_costing(m, blk): @@ -111,6 +112,7 @@ def calc_costing(m, blk): # TODO: Connect to the treatment volume blk.costing.add_LCOW(m.fs.system_capacity) + def report_fpc(m, blk): # blk = m.fs.fpc print(f"\n\n-------------------- FPC Report --------------------\n") @@ -128,7 +130,6 @@ def report_fpc(m, blk): f'{"Storage volume":<30s}{value(blk.storage_volume):<20,.2f}{pyunits.get_units(blk.storage_volume)}' ) - print( f'{"Heat load":<30s}{value(blk.heat_load):<20,.2f}{pyunits.get_units(blk.heat_load)}' ) @@ -137,7 +138,6 @@ def report_fpc(m, blk): f'{"Heat annual":<30s}{value(blk.heat_annual):<20,.2f}{pyunits.get_units(blk.heat_annual)}' ) - print( f'{"Electricity annual":<30s}{value(blk.electricity_annual):<20,.2f}{pyunits.get_units(blk.electricity_annual)}' ) @@ -152,11 +152,23 @@ def report_fpc_costing(m, blk): ) print( - f'{"Capital Cost":<30s}{value(blk.costing.aggregate_capital_cost):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + f'{"Capital Cost":<30s}{value(blk.costing.total_capital_cost):<20,.2f}{pyunits.get_units(blk.costing.total_capital_cost)}' + ) + + print( + f'{"Fixed Operating Cost":<30s}{value(blk.costing.total_fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_fixed_operating_cost)}' ) print( - f'{"Fixed Operating Cost":<30s}{value(blk.costing.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + f'{"Variable Operating Cost":<30s}{value(blk.costing.total_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_variable_operating_cost)}' + ) + + print( + f'{"Total Operating Cost":<30s}{value(blk.costing.total_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_operating_cost)}' + ) + + print( + f'{"Aggregated Variable Operating Cost":<30s}{value(blk.costing.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.aggregate_variable_operating_cost)}' ) print( @@ -175,6 +187,7 @@ def report_fpc_costing(m, blk): f'{"Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' ) + if __name__ == "__main__": solver = get_solver() @@ -182,21 +195,22 @@ def report_fpc_costing(m, blk): m = build_system() - build_fpc(m.fs) - init_fpc(m.fs) - set_fpc_op_conditions(m.fs) + build_fpc(m.fs.fpc) + init_fpc(m.fs.fpc) + set_fpc_op_conditions(m.fs.fpc) # TODO: Connect to overall_thermal_requirement - m.fs.fpc.heat_load.fix(10) + m.fs.fpc.unit.heat_load.fix(10) + + print("Degrees of Freedom:", degrees_of_freedom(m)) results = solver.solve(m) - add_fpc_costing(m.fs,costing_block = m.fs.costing) - calc_costing(m,m.fs) + add_fpc_costing(m.fs.fpc, costing_block=m.fs.costing) + calc_costing(m, m.fs) results = solver.solve(m) # print("LCOW:", m.fs.costing.LCOW()) - report_fpc(m,m.fs.fpc) + report_fpc(m, m.fs.fpc.unit) report_fpc_costing(m, m.fs) - # m.fs.costing.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 24f6be99..9958be4d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -103,14 +103,14 @@ def add_connections(m): TransformationFactory("network.expand_arcs").apply_to(m) -def set_md_model_options( - inlet_cond, n_time_points=None -): +def set_md_model_options(inlet_cond, n_time_points=None): - system_capacity = inlet_cond['recovery'] * pyunits.convert( - inlet_cond['inlet_flow_rate'], to_units=pyunits.m**3 / pyunits.day + system_capacity = inlet_cond["recovery"] * pyunits.convert( + inlet_cond["inlet_flow_rate"], to_units=pyunits.m**3 / pyunits.day + ) + feed_salinity = pyunits.convert( + inlet_cond["inlet_salinity"], to_units=pyunits.g / pyunits.L ) - feed_salinity = pyunits.convert(inlet_cond['inlet_salinity'], to_units=pyunits.g / pyunits.L) model_options = { "dt": None, @@ -135,7 +135,7 @@ def set_md_model_options( cond_inlet_temp=model_options["cond_inlet_temp"], feed_temp=model_options["feed_temp"], feed_salinity=model_options["feed_salinity"], - recovery_ratio=inlet_cond['recovery'], + recovery_ratio=inlet_cond["recovery"], initial_batch_volume=model_options["initial_batch_volume"], module_type=model_options["module_type"], cooling_system_type=model_options["cooling_system_type"], @@ -155,9 +155,7 @@ def build_md(m, blk, inlet_cond, n_time_points=None) -> None: blk.permeate = StateJunction(property_package=m.fs.params) blk.concentrate = StateJunction(property_package=m.fs.params) - model_options, n_time_points = set_md_model_options( - inlet_cond, n_time_points - ) + model_options, n_time_points = set_md_model_options(inlet_cond, n_time_points) # Build the multiperiod object for MD blk.unit = MultiPeriodModel( @@ -337,7 +335,7 @@ def set_md_op_conditions(blk): # feed_salinity = model_options["feed_salinity"] # feed_temp = model_options["feed_temp"] feed_flow_rate = pyunits.convert( - blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h + blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h )() feed_salinity = blk.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"]() @@ -548,10 +546,10 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): return results -def report_MD(m,blk): +def report_MD(m, blk): # blk = m.fs.md - active_blks =blk.unit.get_active_process_blocks() + active_blks = blk.unit.get_active_process_blocks() print(f"\n\n-------------------- MD Operations Report --------------------\n") print("\n") @@ -635,21 +633,33 @@ def report_MD(m,blk): ) -def report_md_costing(m,blk): +def report_md_costing(m, blk): - active_blks =blk.md.unit.get_active_process_blocks() + active_blks = blk.md.unit.get_active_process_blocks() print(f"\n\n-------------------- MD Costing Report --------------------\n") print("\n") print( - f'{"Capital Cost":<30s}{value(blk.costing.aggregate_capital_cost):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + f'{"Capital Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.capital_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.capital_cost)}' ) print( - f'{"Fixed Operating Cost":<30s}{value(blk.costing.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + f'{"Fixed Operating Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.fixed_operating_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.fixed_operating_cost)}' ) + # print( + # f'{"Variable Operating Cost":<30s}{value(blk.costing.variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.variable_operating_cost)}' + # ) + + # print( + # f'{"Aggregated Variable Operating Cost":<30s}{value(blk.costing.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.aggregate_variable_operating_cost)}' + # ) + + # print( + # f'{"Total Operating Cost":<30s}{value(blk.costing.total_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_operating_cost)}' + # ) + print( f'{"Membrane Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.module_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.module_cost)}' ) @@ -657,7 +667,7 @@ def report_md_costing(m,blk): print( f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' ) - + print( f'{"Aggregated Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' ) @@ -682,12 +692,13 @@ def report_md_costing(m,blk): overall_recovery = 0.45 - inlet_cond = {'inlet_flow_rate': Qin, - "inlet_salinity": feed_salinity, - "recovery": overall_recovery} - + inlet_cond = { + "inlet_flow_rate": Qin, + "inlet_salinity": feed_salinity, + "recovery": overall_recovery, + } - n_time_points = 2 #None + n_time_points = 2 # None m, model_options, n_time_points = build_system( inlet_cond, n_time_points=n_time_points ) @@ -706,7 +717,7 @@ def report_md_costing(m,blk): # results = solver.solve(m) - add_md_costing(m.fs.md.unit,costing_block=m.fs.costing) + add_md_costing(m.fs.md.unit, costing_block=m.fs.costing) calc_costing(m, m.fs) print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") @@ -715,14 +726,8 @@ def report_md_costing(m,blk): results = solver.solve(m) - print( - f'{"LCOW":<30s}{value(m.fs.md.unit.costing.LCOW):<20.5f}{pyunits.get_units(m.fs.md.unit.costing.LCOW)}' - ) - report_MD(m, m.fs.md) - report_md_costing(m,m.fs) - - + report_md_costing(m, m.fs) # try: # results = solver.solve(m.fs.md) @@ -757,3 +762,5 @@ def report_md_costing(m,blk): # print("Number of batches in 24h:", value(no_of_batches)) # m.fs.md.permeate.properties[0].flow_vol_phase.display() + # vagmd = m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd + # vagmd.costing.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py index 71194b87..2b901d7f 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py @@ -123,7 +123,7 @@ def init_DWI(m, blk, verbose=True, solver=None): def add_DWI_costing(m, blk, costing_block): blk.unit.costing = UnitModelCostingBlock( - flowsheet_costing_block=m.fs.costing, + flowsheet_costing_block=costing_block, costing_method_arguments={ "cost_method": "as_opex" }, # could be "as_capex" or "blm" @@ -138,15 +138,11 @@ def report_DWI(m, blk): ) -def print_DWI_costing_breakdown(m, blk): +def print_DWI_costing_breakdown(cost_blk, blk): print(f"\n\n-------------------- DWI Costing Breakdown --------------------\n") print("\n") - print(f'{"Capital Cost":<30s}{f"${blk.unit.costing.capital_cost():<25,.0f}"}') - # print( - # f'{"Fixed Operating Cost":<30s}{f"${blk.unit.costing.fixed_operating_cost():<25,.0f}"}' - # ) print( - f'{"Capital Cost":<30s}{f"${blk.unit.costing.variable_operating_cost():<25,.0f}"}' + f'{"Variable Operating":<30s}{f"${blk.unit.costing.variable_operating_cost():<25,.0f}"}' ) @@ -200,9 +196,15 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): set_DWI_op_conditions(m.fs.DWI) init_DWI(m, m.fs.DWI) - add_DWI_costing(m, m.fs.DWI) + add_DWI_costing(m, m.fs.DWI, m.fs.costing) m.fs.costing.cost_process() solve(m) - report_DWI(m, m.fs.DWI, m.fs.costing) - print_DWI_costing_breakdown(m, m.fs.DWI) + print("Degrees of Freedom:", degrees_of_freedom(m)) + + # report_DWI(m, m.fs.DWI) + # print_DWI_costing_breakdown(m.fs, m.fs.DWI) + + m.fs.costing.display() + + # m.fs.DWI.unit.costing.display() diff --git a/src/watertap_contrib/reflo/costing/units/deep_well_injection.py b/src/watertap_contrib/reflo/costing/units/deep_well_injection.py index 68f7d560..d97f913d 100644 --- a/src/watertap_contrib/reflo/costing/units/deep_well_injection.py +++ b/src/watertap_contrib/reflo/costing/units/deep_well_injection.py @@ -153,7 +153,7 @@ def cost_deep_well_injection_as_opex(blk): make_variable_operating_cost_var(blk) blk.costing_package.add_cost_factor(blk, None) - blk.capital_cost.fix(0) + # blk.capital_cost.fix(0) blk.base_period_flow = pyunits.convert( blk.unit_model.properties[0].flow_vol_phase["Liq"] @@ -161,6 +161,10 @@ def cost_deep_well_injection_as_opex(blk): to_units=pyunits.m**3 / blk.costing_package.base_period, ) + blk.capital_cost_constraint = Constraint( + expr=blk.capital_cost == 0 * blk.costing_package.base_currency, + ) + blk.variable_operating_cost_constraint = Constraint( expr=blk.variable_operating_cost == pyunits.convert( diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index dc953d78..bc72d71b 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -72,16 +72,16 @@ def build_global_params(self): self.base_currency = pyo.units.USD_2021 - self.del_component(self.electricity_cost) + # self.del_component(self.electricity_cost) - self.electricity_cost = pyo.Param( - 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zt%MEotZrFDR@GtHcQ7INbHKLkhbVti7##iH{LsWS)s5y&b+M!B=8iXMK}u+BEk+0+0>4TeZ6QalXvE9AcJ`6v9AGRyc(=Q=f=HFk<@bK_w z2os_e*g`hT&&LfPRtj_-{z*3e!O>zK40m>dt$)~`FKceJ%Kz_s@nLxU`8%Z7{Q2+y z`7(I6w$b9geheQ!JXy3Dei*L={OO&VjuvzE3-n5emiqJUaeV&# zmC;hJ?rcBCzh9?ILbN!;&(Fs Date: Thu, 10 Oct 2024 12:52:50 -0600 Subject: [PATCH 015/116] manual updates from main --- .../reflo/costing/units/deep_well_injection.py | 2 -- .../costing/watertap_reflo_costing_package.py | 16 +++------------- 2 files changed, 3 insertions(+), 15 deletions(-) diff --git a/src/watertap_contrib/reflo/costing/units/deep_well_injection.py b/src/watertap_contrib/reflo/costing/units/deep_well_injection.py index d97f913d..cf27b064 100644 --- a/src/watertap_contrib/reflo/costing/units/deep_well_injection.py +++ b/src/watertap_contrib/reflo/costing/units/deep_well_injection.py @@ -153,8 +153,6 @@ def cost_deep_well_injection_as_opex(blk): make_variable_operating_cost_var(blk) blk.costing_package.add_cost_factor(blk, None) - # blk.capital_cost.fix(0) - blk.base_period_flow = pyunits.convert( blk.unit_model.properties[0].flow_vol_phase["Liq"] * blk.costing_package.utilization_factor, diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index bc72d71b..8ada50da 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -72,21 +72,11 @@ def build_global_params(self): self.base_currency = pyo.units.USD_2021 - # self.del_component(self.electricity_cost) - - # self.electricity_cost = pyo.Param( - # mutable=True, - # initialize=0.0718, # From EIA for 2021 - # doc="Electricity cost", - # units=pyo.units.USD_2021 / pyo.units.kWh, - # ) - - # self.register_flow_type("electricity", self.electricity_cost) - # Fix the parameters self.fix_all_vars() self.plant_lifetime.fix(20) self.utilization_factor.fix(1) + self.electricity_cost.fix(0.0718) # Build the integrated system costs self.build_integrated_costs() @@ -195,7 +185,7 @@ def add_LCOE(self, e_model="pysam"): pysam = self._get_pysam() if not pysam._has_been_run: - raise Exception( + raise RuntimeError( f"PySAM model {pysam._pysam_model_name} has not yet been run, so there is no annual_energy data available." "You must run the PySAM model before adding LCOE metric." ) @@ -220,7 +210,7 @@ def add_LCOE(self, e_model="pysam"): ) self.add_component("LCOE", LCOE_expr) - if e_model == "surrogate": + else: raise NotImplementedError( "add_LCOE for surrogate models not available yet." ) From c264934106c7f3ecd233a4ccf152f3b0c04a0a81 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 10 Oct 2024 13:08:44 -0600 Subject: [PATCH 016/116] dwi --- .../reflo/costing/units/deep_well_injection.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/watertap_contrib/reflo/costing/units/deep_well_injection.py b/src/watertap_contrib/reflo/costing/units/deep_well_injection.py index cf27b064..fc2ce6f9 100644 --- a/src/watertap_contrib/reflo/costing/units/deep_well_injection.py +++ b/src/watertap_contrib/reflo/costing/units/deep_well_injection.py @@ -153,16 +153,16 @@ def cost_deep_well_injection_as_opex(blk): make_variable_operating_cost_var(blk) blk.costing_package.add_cost_factor(blk, None) + blk.capital_cost_constraint = Constraint( + expr=blk.capital_cost == 0 * blk.costing_package.base_currency, + ) + blk.base_period_flow = pyunits.convert( blk.unit_model.properties[0].flow_vol_phase["Liq"] * blk.costing_package.utilization_factor, to_units=pyunits.m**3 / blk.costing_package.base_period, ) - blk.capital_cost_constraint = Constraint( - expr=blk.capital_cost == 0 * blk.costing_package.base_currency, - ) - blk.variable_operating_cost_constraint = Constraint( expr=blk.variable_operating_cost == pyunits.convert( From 1665a48dd76a08ac5f192b06f7f8d1645cfca5ca Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 21 Oct 2024 12:52:47 -0600 Subject: [PATCH 017/116] updates to report functions --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 43 +++++++++++-------- .../case_studies/KBHDP/components/FPC.py | 8 ++-- .../KBHDP/components/deep_well_injection.py | 11 ++++- 3 files changed, 38 insertions(+), 24 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index b9fdc77a..bae8f8aa 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -147,6 +147,7 @@ def add_constraints(m): # m.fs.disposal.properties[0].conc_mass_phase_comp +# TODO: Add fraction of heat as solar def add_energy_constraints(m): @m.Constraint() @@ -223,7 +224,7 @@ def set_inlet_conditions(blk, model_options): def set_operating_conditions(m): set_md_op_conditions(m.fs.treatment.md) - set_fpc_op_conditions(m.fs.energy.fpc) + set_fpc_op_conditions(m.fs.energy.fpc, hours_storage=8, temperature_hot=80) def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None): @@ -291,6 +292,10 @@ def report_sys_costing(blk): f'{"Total Operating Cost":<30s}{value(blk.total_operating_cost):<20,.2f}{pyunits.get_units(blk.total_operating_cost)}' ) + print( + f'{"Agg Fixed Operating Cost":<30s}{value(blk.aggregate_fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.aggregate_fixed_operating_cost)}' + ) + print( f'{"Agg Variable Operating Cost":<30s}{value(blk.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.aggregate_variable_operating_cost)}' ) @@ -314,7 +319,7 @@ def report_sys_costing(blk): feed_salinity = 12 * pyunits.g / pyunits.L - overall_recovery = 0.45 + overall_recovery = 0.5 inlet_cond = { "inlet_flow_rate": Qin, @@ -322,7 +327,7 @@ def report_sys_costing(blk): "recovery": overall_recovery, } - n_time_points = 2 + n_time_points = None # Build MD, DWI and FPC m, model_options, n_time_points = build_system( @@ -334,7 +339,7 @@ def report_sys_costing(blk): set_operating_conditions(m) - print(f"\n Before Costing System Degrees of Freedom: {degrees_of_freedom(m)}") + print(f"\nBefore Costing System Degrees of Freedom: {degrees_of_freedom(m)}") results = solver.solve(m) @@ -351,13 +356,13 @@ def report_sys_costing(blk): add_energy_constraints(m) - print(f"\n After Costing System Degrees of Freedom: {degrees_of_freedom(m)}") + print(f"\nAfter Costing System Degrees of Freedom: {degrees_of_freedom(m)}") results = solver.solve(m) - print(f"\n After Solve System Degrees of Freedom: {degrees_of_freedom(m)}") + print(f"\nAfter Solve System Degrees of Freedom: {degrees_of_freedom(m)}") - m.fs.obj = Objective(expr=m.fs.energy.costing.LCOW) + m.fs.obj = Objective(expr=m.fs.sys_costing.LCOW) results = solver.solve(m) print(f"\n After Optimization System Degrees of Freedom: {degrees_of_freedom(m)}") @@ -386,14 +391,16 @@ def report_sys_costing(blk): report_fpc_costing(m, m.fs.energy) report_sys_costing(m.fs.sys_costing) - print("\nTreatment") - m.fs.treatment.costing.aggregate_fixed_operating_cost.display() - m.fs.treatment.costing.aggregate_variable_operating_cost.display() - m.fs.treatment.costing.total_operating_cost.display() - m.fs.treatment.costing.total_capital_cost.display() - - print("\nEnergy") - m.fs.energy.costing.aggregate_fixed_operating_cost.display() - m.fs.energy.costing.aggregate_variable_operating_cost.display() - m.fs.energy.costing.total_capital_cost.display() - m.fs.energy.costing.total_operating_cost.display() + # print("\nTreatment") + # m.fs.treatment.costing.aggregate_fixed_operating_cost.display() + # m.fs.treatment.costing.aggregate_variable_operating_cost.display() + # m.fs.treatment.costing.total_operating_cost.display() + # m.fs.treatment.costing.total_capital_cost.display() + + # print("\nEnergy") + # m.fs.energy.costing.aggregate_fixed_operating_cost.display() + # m.fs.energy.costing.aggregate_variable_operating_cost.display() + # m.fs.energy.costing.total_capital_cost.display() + # m.fs.energy.costing.total_operating_cost.display() + + # m.fs.sys_costing.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 0dcc561c..693ccff8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -90,13 +90,13 @@ def set_system_op_conditions(m): m.fs.system_capacity.fix() -def set_fpc_op_conditions(blk): +def set_fpc_op_conditions(blk, hours_storage=4, temperature_hot=80): - blk.unit.hours_storage.fix(4) + blk.unit.hours_storage.fix(hours_storage) # Assumes the hot temperature to the inlet of a 'MD HX' - blk.unit.temperature_hot.fix(77) + blk.unit.temperature_hot.fix(temperature_hot) # Assumes the cold temperature from the outlet temperature of a 'MD HX' - blk.unit.temperature_cold.set_value(75) + blk.unit.temperature_cold.set_value(20) def add_fpc_costing(blk, costing_block): diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py index 2b901d7f..17c0668d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py @@ -144,6 +144,12 @@ def print_DWI_costing_breakdown(cost_blk, blk): print( f'{"Variable Operating":<30s}{f"${blk.unit.costing.variable_operating_cost():<25,.0f}"}' ) + try: + print( + f'{"Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' + ) + except AttributeError: + print(f'{"Elec Cost":<30s}{"NA"}') def build_system(): @@ -203,8 +209,9 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): print("Degrees of Freedom:", degrees_of_freedom(m)) # report_DWI(m, m.fs.DWI) - # print_DWI_costing_breakdown(m.fs, m.fs.DWI) + print_DWI_costing_breakdown(m.fs, m.fs.DWI) + print(degrees_of_freedom(m)) - m.fs.costing.display() + # m.fs.costing.display() # m.fs.DWI.unit.costing.display() From 6efd512d7fb0edf2c747d23ddad6d45616b2610b Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 21 Oct 2024 19:47:56 -0600 Subject: [PATCH 018/116] add updated costing variables in report --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 40 +++++++++++++++++-- .../case_studies/KBHDP/components/FPC.py | 10 +++-- 2 files changed, 43 insertions(+), 7 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index bae8f8aa..6de64ec1 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -154,7 +154,7 @@ def add_energy_constraints(m): def eq_thermal_req(b): return ( b.fs.energy.costing.aggregate_flow_heat - <= -1 * b.fs.treatment.costing.aggregate_flow_heat + >= b.fs.treatment.costing.aggregate_flow_heat ) @@ -172,6 +172,7 @@ def calc_costing(m): m.fs.treatment.costing.maintenance_labor_chemical_factor.fix(0) m.fs.treatment.costing.capital_recovery_factor.fix(0.08764) m.fs.treatment.costing.wacc.unfix() + # m.fs.treatment.costing.heat_cost.set_value(0) m.fs.treatment.costing.cost_process() m.fs.treatment.costing.initialize() @@ -184,6 +185,7 @@ def calc_costing(m): # Energy costing m.fs.energy.costing.maintenance_labor_chemical_factor.fix(0) m.fs.energy.costing.total_investment_factor.fix(1) + # m.fs.energy.costing.heat_cost.set_value(0) m.fs.energy.costing.cost_process() m.fs.energy.costing.initialize() @@ -193,7 +195,9 @@ def calc_costing(m): # System costing m.fs.sys_costing = REFLOSystemCosting() - m.fs.sys_costing.wacc.unfix() + # m.fs.sys_costing.wacc.unfix() + # m.fs.sys_costing.heat_cost_buy.set_value(0.5) + m.fs.sys_costing.heat_cost_sell.set_value(0) m.fs.sys_costing.cost_process() m.fs.sys_costing.initialize() @@ -304,11 +308,38 @@ def report_sys_costing(blk): f'{"Heat flow":<30s}{value(blk.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.aggregate_flow_heat)}' ) + print( + f'{"Total heat cost":<30s}{value(blk.total_heat_operating_cost):<20,.2f}{pyunits.get_units(blk.total_heat_operating_cost)}' + ) + + + print( + f'{"Heat purchased":<30s}{value(blk.aggregate_flow_heat_purchased):<20,.2f}{pyunits.get_units(blk.aggregate_flow_heat_purchased)}' + ) + + print( + f'{"Heat sold":<30s}{value(blk.aggregate_flow_heat_sold):<20,.2f}{pyunits.get_units(blk.aggregate_flow_heat_sold)}' + ) + print( f'{"Elec Flow":<30s}{value(blk.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.aggregate_flow_electricity)}' ) + print( + f'{"Total elec cost":<30s}{value(blk.total_electric_operating_cost):<20,.2f}{pyunits.get_units(blk.total_electric_operating_cost)}' + ) + + + print( + f'{"Elec purchased":<30s}{value(blk.aggregate_flow_electricity_purchased):<20,.2f}{pyunits.get_units(blk.aggregate_flow_electricity_purchased)}' + ) + + print( + f'{"Elec sold":<30s}{value(blk.aggregate_flow_electricity_sold):<20,.2f}{pyunits.get_units(blk.aggregate_flow_electricity_sold)}' + ) + + if __name__ == "__main__": solver = get_solver() @@ -353,8 +384,9 @@ def report_sys_costing(blk): energy_costing_block=m.fs.energy.costing, ) calc_costing(m) + # m.fs.energy.fpc.unit.heat_load.fix(10) - add_energy_constraints(m) + # add_energy_constraints(m) print(f"\nAfter Costing System Degrees of Freedom: {degrees_of_freedom(m)}") @@ -403,4 +435,4 @@ def report_sys_costing(blk): # m.fs.energy.costing.total_capital_cost.display() # m.fs.energy.costing.total_operating_cost.display() - # m.fs.sys_costing.display() + # m.fs.sys_costing.used_flows.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 693ccff8..e1e1633b 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -106,6 +106,7 @@ def add_fpc_costing(blk, costing_block): def calc_costing(m, blk): blk.costing.maintenance_labor_chemical_factor.fix(0) blk.costing.total_investment_factor.fix(1) + blk.costing.heat_cost.set_value(0) blk.costing.cost_process() blk.costing.initialize() @@ -167,9 +168,9 @@ def report_fpc_costing(m, blk): f'{"Total Operating Cost":<30s}{value(blk.costing.total_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_operating_cost)}' ) - print( - f'{"Aggregated Variable Operating Cost":<30s}{value(blk.costing.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.aggregate_variable_operating_cost)}' - ) + # print( + # f'{"Aggregated Variable Operating Cost":<30s}{value(blk.costing.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.aggregate_variable_operating_cost)}' + # ) print( f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' @@ -214,3 +215,6 @@ def report_fpc_costing(m, blk): report_fpc(m, m.fs.fpc.unit) report_fpc_costing(m, m.fs) + + # m.fs.costing.display() + # m.fs.costing.used_flows.display() From e1b7bc2bbb3292401d9cc024aed2c33fc745a51f Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 24 Oct 2024 14:34:48 -0600 Subject: [PATCH 019/116] updates to calc_cost and costing packages --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 50 +++++++++++-------- .../case_studies/KBHDP/components/FPC.py | 13 +++-- .../case_studies/KBHDP/components/MD.py | 3 -- 3 files changed, 36 insertions(+), 30 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 6de64ec1..997b7b69 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -154,7 +154,7 @@ def add_energy_constraints(m): def eq_thermal_req(b): return ( b.fs.energy.costing.aggregate_flow_heat - >= b.fs.treatment.costing.aggregate_flow_heat + == -1*b.fs.treatment.costing.aggregate_flow_heat*0.5 ) @@ -167,12 +167,8 @@ def add_costing(m, treatment_costing_block, energy_costing_block): def calc_costing(m): # Treatment costing - - m.fs.treatment.costing.total_investment_factor.fix(1) - m.fs.treatment.costing.maintenance_labor_chemical_factor.fix(0) m.fs.treatment.costing.capital_recovery_factor.fix(0.08764) m.fs.treatment.costing.wacc.unfix() - # m.fs.treatment.costing.heat_cost.set_value(0) m.fs.treatment.costing.cost_process() m.fs.treatment.costing.initialize() @@ -183,24 +179,23 @@ def calc_costing(m): m.fs.treatment.costing.add_LCOW(m.fs.product.properties[0].flow_vol) # Energy costing - m.fs.energy.costing.maintenance_labor_chemical_factor.fix(0) - m.fs.energy.costing.total_investment_factor.fix(1) - # m.fs.energy.costing.heat_cost.set_value(0) m.fs.energy.costing.cost_process() m.fs.energy.costing.initialize() - m.fs.energy.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) m.fs.energy.costing.add_LCOW(m.fs.product.properties[0].flow_vol) + +def add_system_costing(m): # System costing m.fs.sys_costing = REFLOSystemCosting() # m.fs.sys_costing.wacc.unfix() - # m.fs.sys_costing.heat_cost_buy.set_value(0.5) + m.fs.sys_costing.frac_from_grid.fix(0.01) m.fs.sys_costing.heat_cost_sell.set_value(0) m.fs.sys_costing.cost_process() m.fs.sys_costing.initialize() + m.fs.sys_costing.add_LCOW(m.fs.product.properties[0].flow_vol) @@ -308,9 +303,9 @@ def report_sys_costing(blk): f'{"Heat flow":<30s}{value(blk.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.aggregate_flow_heat)}' ) - print( - f'{"Total heat cost":<30s}{value(blk.total_heat_operating_cost):<20,.2f}{pyunits.get_units(blk.total_heat_operating_cost)}' - ) + # print( + # f'{"Total heat cost":<30s}{value(blk.total_heat_operating_cost):<20,.2f}{pyunits.get_units(blk.total_heat_operating_cost)}' + # ) print( @@ -326,9 +321,9 @@ def report_sys_costing(blk): ) - print( - f'{"Total elec cost":<30s}{value(blk.total_electric_operating_cost):<20,.2f}{pyunits.get_units(blk.total_electric_operating_cost)}' - ) + # print( + # f'{"Total elec cost":<30s}{value(blk.total_electric_operating_cost):<20,.2f}{pyunits.get_units(blk.total_electric_operating_cost)}' + # ) print( @@ -383,21 +378,34 @@ def report_sys_costing(blk): treatment_costing_block=m.fs.treatment.costing, energy_costing_block=m.fs.energy.costing, ) - calc_costing(m) - # m.fs.energy.fpc.unit.heat_load.fix(10) + calc_costing(m) + add_system_costing(m) + iscale.set_scaling_factor(m.fs.sys_costing.aggregate_flow_electricity_purchased , 1e4) # add_energy_constraints(m) print(f"\nAfter Costing System Degrees of Freedom: {degrees_of_freedom(m)}") + print('Treatment block:',degrees_of_freedom(m.fs.treatment)) + print('Treatment costing block:',degrees_of_freedom(m.fs.treatment.costing)) + print('Energy block:',degrees_of_freedom(m.fs.energy)) + print('Energy costing block:',degrees_of_freedom(m.fs.energy.costing)) results = solver.solve(m) + print_infeasible_constraints(m) + print(f"\nAfter Solve System Degrees of Freedom: {degrees_of_freedom(m)}") + print('Treatment block:',degrees_of_freedom(m.fs.treatment)) + print('Treatment costing block:',degrees_of_freedom(m.fs.treatment.costing)) + print('Energy block:',degrees_of_freedom(m.fs.energy)) + print('Energy costing block:',degrees_of_freedom(m.fs.energy.costing)) + + m.fs.sys_costing.frac_from_grid.unfix() m.fs.obj = Objective(expr=m.fs.sys_costing.LCOW) results = solver.solve(m) - print(f"\n After Optimization System Degrees of Freedom: {degrees_of_freedom(m)}") + print(f"\nAfter Optimization System Degrees of Freedom: {degrees_of_freedom(m)}") print("\n") print( @@ -435,4 +443,6 @@ def report_sys_costing(blk): # m.fs.energy.costing.total_capital_cost.display() # m.fs.energy.costing.total_operating_cost.display() - # m.fs.sys_costing.used_flows.display() + # m.fs.sys_costing.display() + # m.fs.energy.costing.display() + # m.fs.energy.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index e1e1633b..78b084c2 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -104,8 +104,6 @@ def add_fpc_costing(blk, costing_block): def calc_costing(m, blk): - blk.costing.maintenance_labor_chemical_factor.fix(0) - blk.costing.total_investment_factor.fix(1) blk.costing.heat_cost.set_value(0) blk.costing.cost_process() blk.costing.initialize() @@ -201,20 +199,21 @@ def report_fpc_costing(m, blk): set_fpc_op_conditions(m.fs.fpc) # TODO: Connect to overall_thermal_requirement - m.fs.fpc.unit.heat_load.fix(10) + # m.fs.fpc.unit.heat_load.fix(10) print("Degrees of Freedom:", degrees_of_freedom(m)) - results = solver.solve(m) + # results = solver.solve(m) add_fpc_costing(m.fs.fpc, costing_block=m.fs.costing) calc_costing(m, m.fs) - + m.fs.costing.aggregate_flow_heat.fix(-4000) results = solver.solve(m) # print("LCOW:", m.fs.costing.LCOW()) - + print(degrees_of_freedom(m)) report_fpc(m, m.fs.fpc.unit) report_fpc_costing(m, m.fs) - # m.fs.costing.display() + m.fs.costing.display() + m.fs.fpc.unit.display() # m.fs.costing.used_flows.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 9958be4d..6a70af7a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -503,9 +503,6 @@ def add_md_costing(blk, costing_block): def calc_costing(m, blk): - - m.fs.costing.total_investment_factor.fix(1) - m.fs.costing.maintenance_labor_chemical_factor.fix(0) m.fs.costing.capital_recovery_factor.fix(0.08764) m.fs.costing.wacc.unfix() From 8a0aed645b68c68dd613ef5b9bbee73a028fe7eb Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 24 Oct 2024 14:35:33 -0600 Subject: [PATCH 020/116] working costing package --- .../costing/watertap_reflo_costing_package.py | 147 +++++++++++++++++- 1 file changed, 139 insertions(+), 8 deletions(-) diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index 8ada50da..ed829468 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -37,10 +37,13 @@ def build_global_params(self): self.heat_cost = pyo.Param( mutable=True, - initialize=0.01, + initialize=0.0, doc="Heat cost", units=pyo.units.USD_2018 / pyo.units.kWh, ) + + self.electricity_cost.fix(0.0) + self.register_flow_type("heat", self.heat_cost) self.plant_lifetime.fix(20) @@ -73,10 +76,101 @@ def build_global_params(self): self.base_currency = pyo.units.USD_2021 # Fix the parameters - self.fix_all_vars() + # self.fix_all_vars() self.plant_lifetime.fix(20) self.utilization_factor.fix(1) - self.electricity_cost.fix(0.0718) + self.electricity_cost.fix(0.0) + + self.electricity_cost_buy = pyo.Param( + mutable=True, + initialize=0.07, + doc="Electricity cost to buy", + units=pyo.units.USD_2018 / pyo.units.kWh, + ) + + self.electricity_cost_sell = pyo.Param( + mutable=True, + initialize=0.05, + doc="Electricity cost to sell", + units=pyo.units.USD_2018 / pyo.units.kWh, + ) + + self.heat_cost_buy = pyo.Param( + mutable=True, + initialize=0.07, + doc="Heat cost to buy", + units=pyo.units.USD_2018 / pyo.units.kWh, + ) + + self.heat_cost_sell = pyo.Param( + mutable=True, + initialize=0.05, + doc="Heat cost to sell", + units=pyo.units.USD_2018 / pyo.units.kWh, + ) + + # Heat balance of the system for sales and purchases of heat + treat_cost = self._get_treatment_cost_block() + en_cost = self._get_energy_cost_block() + + self.frac_from_grid = pyo.Var( + initialize = 0, + domain=pyo.NonNegativeReals, + doc='Fraction of heat from grid', + units= pyo.units.dimensionless, + ) + + self.aggregate_flow_electricity_purchased = pyo.Var( + initialize=0, + domain=pyo.NonNegativeReals, + doc="Aggregated electricity consumed", + units=pyo.units.kW, + ) + + self.aggregate_flow_electricity_sold = pyo.Var( + initialize=0, + domain=pyo.NonNegativeReals, + doc="Aggregated electricity produced", + units=pyo.units.kW, + ) + + self.aggregate_flow_heat_purchased = pyo.Var( + initialize=0, + domain=pyo.NonNegativeReals, + doc="Aggregated heat consumed", + units=pyo.units.kW, + ) + + self.aggregate_flow_heat_sold = pyo.Var( + initialize=0, + domain=pyo.NonNegativeReals, + doc="Aggregated heat produced", + units=pyo.units.kW, + ) + + # energy producer's electricity flow is negative + self.aggregate_electricity_balance = pyo.Constraint( + expr=(self.aggregate_flow_electricity_purchased + -1 * en_cost.aggregate_flow_electricity + == treat_cost.aggregate_flow_electricity + self.aggregate_flow_electricity_sold) + ) + + self.aggregate_electricity_complement = pyo.Constraint( + expr=self.aggregate_flow_electricity_purchased * self.aggregate_flow_electricity_sold == 0 + ) + + # energy producer's heat flow is negative + self.aggregate_heat_balance = pyo.Constraint( + expr=(self.aggregate_flow_heat_purchased + -1 * en_cost.aggregate_flow_heat + == treat_cost.aggregate_flow_heat + self.aggregate_flow_heat_sold) + ) + + self.frac_from_grid_constraint = pyo.Constraint( + expr=(self.frac_from_grid == self.aggregate_flow_heat_purchased/treat_cost.aggregate_flow_heat) + ) + + self.aggregate_heat_complement = pyo.Constraint( + expr=self.aggregate_flow_heat_purchased * self.aggregate_flow_heat_sold == 0 + ) # Build the integrated system costs self.build_integrated_costs() @@ -94,12 +188,28 @@ def build_integrated_costs(self): doc="Total capital cost for integrated system", units=self.base_currency, ) + self.total_operating_cost = pyo.Var( initialize=1e3, # domain=pyo.NonNegativeReals, doc="Total operating cost for integrated system", units=self.base_currency / self.base_period, ) + + self.total_electric_operating_cost = pyo.Var( + initialize=0, + # domain=pyo.NonNegativeReals, + doc="Total cost of electricity for integrated system", + units=self.base_currency / self.base_period, + ) + + self.total_heat_operating_cost = pyo.Var( + initialize=0, + # domain=pyo.NonNegativeReals, + doc="Total cost of heat for integrated system", + units=self.base_currency / self.base_period, + ) + self.aggregate_flow_electricity = pyo.Var( initialize=1e3, # domain=pyo.NonNegativeReals, @@ -131,19 +241,40 @@ def build_integrated_costs(self): to_units=self.base_currency / self.base_period, ) ) + + # positive is for cost and negative for revenue + self.total_electric_operating_cost_constraint = pyo.Constraint( + expr= self.total_electric_operating_cost == (pyo.units.convert(self.aggregate_flow_electricity_purchased, to_units=pyo.units.kWh/pyo.units.year) * self.electricity_cost_buy + - pyo.units.convert(self.aggregate_flow_electricity_sold, to_units=pyo.units.kWh/pyo.units.year) * self.electricity_cost_sell) * self.utilization_factor + ) - self.aggregate_flow_electricity_constraint = pyo.Constraint( - expr=self.aggregate_flow_electricity - == treat_cost.aggregate_flow_electricity - + en_cost.aggregate_flow_electricity + # positive is for cost and negative for revenue + self.total_heat_operating_cost_constraint = pyo.Constraint( + expr=self.total_heat_operating_cost == (pyo.units.convert(self.aggregate_flow_heat_purchased, to_units=pyo.units.kWh/pyo.units.year) * self.heat_cost_buy + - pyo.units.convert(self.aggregate_flow_heat_sold, to_units=pyo.units.kWh/pyo.units.year) * self.heat_cost_sell) * self.utilization_factor + ) + + # self.aggregate_flow_electricity_constraint = pyo.Constraint( + # expr=self.aggregate_flow_electricity + # == treat_cost.aggregate_flow_electricity + # + en_cost.aggregate_flow_electricity + # ) + + # positive is for consumption + self.aggregate_flow_electricity = pyo.Constraint( + expr=self.aggregate_flow_electricity == self.aggregate_flow_electricity_purchased - self.aggregate_flow_electricity_sold ) # if all("heat" in b.defined_flows for b in [treat_cost, en_cost]): if all(hasattr(b, "aggregate_flow_heat") for b in [treat_cost, en_cost]): self.aggregate_flow_heat_constraint = pyo.Constraint( expr=self.aggregate_flow_heat - == treat_cost.aggregate_flow_heat + en_cost.aggregate_flow_heat + == self.aggregate_flow_heat_purchased - self.aggregate_flow_heat_sold # treat_cost.aggregate_flow_heat + en_cost.aggregate_flow_heat ) + # self.aggregate_flow_heat = pyo.Expression( + # expr=self.aggregate_flow_heat_purchased - self.aggregate_flow_heat_sold + # ) + def add_LCOW(self, flow_rate, name="LCOW"): """ From ab9dcef337cccd5cd26def6a36676e8b6b0948df Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 24 Oct 2024 14:36:12 -0600 Subject: [PATCH 021/116] black --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 27 ++++--- .../costing/watertap_reflo_costing_package.py | 73 ++++++++++++++----- 2 files changed, 68 insertions(+), 32 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 997b7b69..39e69076 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -154,7 +154,7 @@ def add_energy_constraints(m): def eq_thermal_req(b): return ( b.fs.energy.costing.aggregate_flow_heat - == -1*b.fs.treatment.costing.aggregate_flow_heat*0.5 + == -1 * b.fs.treatment.costing.aggregate_flow_heat * 0.5 ) @@ -195,7 +195,7 @@ def add_system_costing(m): m.fs.sys_costing.cost_process() m.fs.sys_costing.initialize() - + m.fs.sys_costing.add_LCOW(m.fs.product.properties[0].flow_vol) @@ -307,7 +307,6 @@ def report_sys_costing(blk): # f'{"Total heat cost":<30s}{value(blk.total_heat_operating_cost):<20,.2f}{pyunits.get_units(blk.total_heat_operating_cost)}' # ) - print( f'{"Heat purchased":<30s}{value(blk.aggregate_flow_heat_purchased):<20,.2f}{pyunits.get_units(blk.aggregate_flow_heat_purchased)}' ) @@ -320,12 +319,10 @@ def report_sys_costing(blk): f'{"Elec Flow":<30s}{value(blk.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.aggregate_flow_electricity)}' ) - # print( # f'{"Total elec cost":<30s}{value(blk.total_electric_operating_cost):<20,.2f}{pyunits.get_units(blk.total_electric_operating_cost)}' # ) - print( f'{"Elec purchased":<30s}{value(blk.aggregate_flow_electricity_purchased):<20,.2f}{pyunits.get_units(blk.aggregate_flow_electricity_purchased)}' ) @@ -381,24 +378,26 @@ def report_sys_costing(blk): calc_costing(m) add_system_costing(m) - iscale.set_scaling_factor(m.fs.sys_costing.aggregate_flow_electricity_purchased , 1e4) + iscale.set_scaling_factor( + m.fs.sys_costing.aggregate_flow_electricity_purchased, 1e4 + ) # add_energy_constraints(m) print(f"\nAfter Costing System Degrees of Freedom: {degrees_of_freedom(m)}") - print('Treatment block:',degrees_of_freedom(m.fs.treatment)) - print('Treatment costing block:',degrees_of_freedom(m.fs.treatment.costing)) - print('Energy block:',degrees_of_freedom(m.fs.energy)) - print('Energy costing block:',degrees_of_freedom(m.fs.energy.costing)) + print("Treatment block:", degrees_of_freedom(m.fs.treatment)) + print("Treatment costing block:", degrees_of_freedom(m.fs.treatment.costing)) + print("Energy block:", degrees_of_freedom(m.fs.energy)) + print("Energy costing block:", degrees_of_freedom(m.fs.energy.costing)) results = solver.solve(m) print_infeasible_constraints(m) print(f"\nAfter Solve System Degrees of Freedom: {degrees_of_freedom(m)}") - print('Treatment block:',degrees_of_freedom(m.fs.treatment)) - print('Treatment costing block:',degrees_of_freedom(m.fs.treatment.costing)) - print('Energy block:',degrees_of_freedom(m.fs.energy)) - print('Energy costing block:',degrees_of_freedom(m.fs.energy.costing)) + print("Treatment block:", degrees_of_freedom(m.fs.treatment)) + print("Treatment costing block:", degrees_of_freedom(m.fs.treatment.costing)) + print("Energy block:", degrees_of_freedom(m.fs.energy)) + print("Energy costing block:", degrees_of_freedom(m.fs.energy.costing)) m.fs.sys_costing.frac_from_grid.unfix() diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index ed829468..c48fb021 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -114,10 +114,10 @@ def build_global_params(self): en_cost = self._get_energy_cost_block() self.frac_from_grid = pyo.Var( - initialize = 0, + initialize=0, domain=pyo.NonNegativeReals, - doc='Fraction of heat from grid', - units= pyo.units.dimensionless, + doc="Fraction of heat from grid", + units=pyo.units.dimensionless, ) self.aggregate_flow_electricity_purchased = pyo.Var( @@ -150,22 +150,33 @@ def build_global_params(self): # energy producer's electricity flow is negative self.aggregate_electricity_balance = pyo.Constraint( - expr=(self.aggregate_flow_electricity_purchased + -1 * en_cost.aggregate_flow_electricity - == treat_cost.aggregate_flow_electricity + self.aggregate_flow_electricity_sold) + expr=( + self.aggregate_flow_electricity_purchased + + -1 * en_cost.aggregate_flow_electricity + == treat_cost.aggregate_flow_electricity + + self.aggregate_flow_electricity_sold + ) ) self.aggregate_electricity_complement = pyo.Constraint( - expr=self.aggregate_flow_electricity_purchased * self.aggregate_flow_electricity_sold == 0 + expr=self.aggregate_flow_electricity_purchased + * self.aggregate_flow_electricity_sold + == 0 ) # energy producer's heat flow is negative self.aggregate_heat_balance = pyo.Constraint( - expr=(self.aggregate_flow_heat_purchased + -1 * en_cost.aggregate_flow_heat - == treat_cost.aggregate_flow_heat + self.aggregate_flow_heat_sold) + expr=( + self.aggregate_flow_heat_purchased + -1 * en_cost.aggregate_flow_heat + == treat_cost.aggregate_flow_heat + self.aggregate_flow_heat_sold + ) ) self.frac_from_grid_constraint = pyo.Constraint( - expr=(self.frac_from_grid == self.aggregate_flow_heat_purchased/treat_cost.aggregate_flow_heat) + expr=( + self.frac_from_grid + == self.aggregate_flow_heat_purchased / treat_cost.aggregate_flow_heat + ) ) self.aggregate_heat_complement = pyo.Constraint( @@ -241,17 +252,41 @@ def build_integrated_costs(self): to_units=self.base_currency / self.base_period, ) ) - + # positive is for cost and negative for revenue self.total_electric_operating_cost_constraint = pyo.Constraint( - expr= self.total_electric_operating_cost == (pyo.units.convert(self.aggregate_flow_electricity_purchased, to_units=pyo.units.kWh/pyo.units.year) * self.electricity_cost_buy - - pyo.units.convert(self.aggregate_flow_electricity_sold, to_units=pyo.units.kWh/pyo.units.year) * self.electricity_cost_sell) * self.utilization_factor + expr=self.total_electric_operating_cost + == ( + pyo.units.convert( + self.aggregate_flow_electricity_purchased, + to_units=pyo.units.kWh / pyo.units.year, + ) + * self.electricity_cost_buy + - pyo.units.convert( + self.aggregate_flow_electricity_sold, + to_units=pyo.units.kWh / pyo.units.year, + ) + * self.electricity_cost_sell + ) + * self.utilization_factor ) # positive is for cost and negative for revenue self.total_heat_operating_cost_constraint = pyo.Constraint( - expr=self.total_heat_operating_cost == (pyo.units.convert(self.aggregate_flow_heat_purchased, to_units=pyo.units.kWh/pyo.units.year) * self.heat_cost_buy - - pyo.units.convert(self.aggregate_flow_heat_sold, to_units=pyo.units.kWh/pyo.units.year) * self.heat_cost_sell) * self.utilization_factor + expr=self.total_heat_operating_cost + == ( + pyo.units.convert( + self.aggregate_flow_heat_purchased, + to_units=pyo.units.kWh / pyo.units.year, + ) + * self.heat_cost_buy + - pyo.units.convert( + self.aggregate_flow_heat_sold, + to_units=pyo.units.kWh / pyo.units.year, + ) + * self.heat_cost_sell + ) + * self.utilization_factor ) # self.aggregate_flow_electricity_constraint = pyo.Constraint( @@ -262,20 +297,22 @@ def build_integrated_costs(self): # positive is for consumption self.aggregate_flow_electricity = pyo.Constraint( - expr=self.aggregate_flow_electricity == self.aggregate_flow_electricity_purchased - self.aggregate_flow_electricity_sold + expr=self.aggregate_flow_electricity + == self.aggregate_flow_electricity_purchased + - self.aggregate_flow_electricity_sold ) # if all("heat" in b.defined_flows for b in [treat_cost, en_cost]): if all(hasattr(b, "aggregate_flow_heat") for b in [treat_cost, en_cost]): self.aggregate_flow_heat_constraint = pyo.Constraint( expr=self.aggregate_flow_heat - == self.aggregate_flow_heat_purchased - self.aggregate_flow_heat_sold # treat_cost.aggregate_flow_heat + en_cost.aggregate_flow_heat + == self.aggregate_flow_heat_purchased + - self.aggregate_flow_heat_sold # treat_cost.aggregate_flow_heat + en_cost.aggregate_flow_heat ) # self.aggregate_flow_heat = pyo.Expression( - # expr=self.aggregate_flow_heat_purchased - self.aggregate_flow_heat_sold + # expr=self.aggregate_flow_heat_purchased - self.aggregate_flow_heat_sold # ) - def add_LCOW(self, flow_rate, name="LCOW"): """ Add Levelized Cost of Water (LCOW) to costing block. From baf0a25aad989fdad4169c9210913729346cf56f Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 24 Oct 2024 15:51:12 -0600 Subject: [PATCH 022/116] add elec_frac --- .../reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 39e69076..4073a522 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -190,8 +190,9 @@ def add_system_costing(m): # System costing m.fs.sys_costing = REFLOSystemCosting() # m.fs.sys_costing.wacc.unfix() - m.fs.sys_costing.frac_from_grid.fix(0.01) - m.fs.sys_costing.heat_cost_sell.set_value(0) + m.fs.sys_costing.frac_heat_from_grid.fix(0.01) + # m.fs.sys_costing.frac_elec_from_grid.fix(0.1) + m.fs.sys_costing.heat_cost_buy.set_value(1) m.fs.sys_costing.cost_process() m.fs.sys_costing.initialize() @@ -199,6 +200,7 @@ def add_system_costing(m): m.fs.sys_costing.add_LCOW(m.fs.product.properties[0].flow_vol) + def set_inlet_conditions(blk, model_options): print(f'\n{"=======> SETTING FEED CONDITIONS <=======":^60}\n') @@ -378,9 +380,7 @@ def report_sys_costing(blk): calc_costing(m) add_system_costing(m) - iscale.set_scaling_factor( - m.fs.sys_costing.aggregate_flow_electricity_purchased, 1e4 - ) + # add_energy_constraints(m) print(f"\nAfter Costing System Degrees of Freedom: {degrees_of_freedom(m)}") @@ -399,7 +399,7 @@ def report_sys_costing(blk): print("Energy block:", degrees_of_freedom(m.fs.energy)) print("Energy costing block:", degrees_of_freedom(m.fs.energy.costing)) - m.fs.sys_costing.frac_from_grid.unfix() + m.fs.sys_costing.frac_heat_from_grid.unfix() m.fs.obj = Objective(expr=m.fs.sys_costing.LCOW) results = solver.solve(m) From f2b2fb5b02296ae18b279b83716ab2fc4746ab90 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 24 Oct 2024 15:51:58 -0600 Subject: [PATCH 023/116] frac_elec_from_grid added --- .../costing/watertap_reflo_costing_package.py | 74 +++++++++++-------- 1 file changed, 42 insertions(+), 32 deletions(-) diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index c48fb021..21006cce 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -67,7 +67,8 @@ def build_global_params(self): def build_process_costs(self): super().build_process_costs() - +# TODO: Add heat terms only when heat flow type exists +# Define frac elec flow only when electricity is generated? @declare_process_block_class("REFLOSystemCosting") class REFLOSystemCostingData(WaterTAPCostingBlockData): def build_global_params(self): @@ -113,12 +114,20 @@ def build_global_params(self): treat_cost = self._get_treatment_cost_block() en_cost = self._get_energy_cost_block() - self.frac_from_grid = pyo.Var( + if all(hasattr(b, "aggregate_flow_heat") for b in [treat_cost, en_cost]): + self.frac_heat_from_grid = pyo.Var( + initialize=0, + domain=pyo.NonNegativeReals, + doc="Fraction of heat from grid", + units=pyo.units.dimensionless, + ) + + self.frac_elec_from_grid = pyo.Var( initialize=0, domain=pyo.NonNegativeReals, - doc="Fraction of heat from grid", + doc="Fraction of electricity from grid", units=pyo.units.dimensionless, - ) + ) self.aggregate_flow_electricity_purchased = pyo.Var( initialize=0, @@ -158,30 +167,39 @@ def build_global_params(self): ) ) + self.frac_elec_from_grid_constraint = pyo.Constraint( + expr=( + self.frac_elec_from_grid + == self.aggregate_flow_electricity_purchased / treat_cost.aggregate_flow_electricity + ) + ) + self.aggregate_electricity_complement = pyo.Constraint( expr=self.aggregate_flow_electricity_purchased * self.aggregate_flow_electricity_sold == 0 ) - # energy producer's heat flow is negative - self.aggregate_heat_balance = pyo.Constraint( - expr=( - self.aggregate_flow_heat_purchased + -1 * en_cost.aggregate_flow_heat - == treat_cost.aggregate_flow_heat + self.aggregate_flow_heat_sold + if all(hasattr(b, "aggregate_flow_heat") for b in [treat_cost, en_cost]): + + # energy producer's heat flow is negative + self.aggregate_heat_balance = pyo.Constraint( + expr=( + self.aggregate_flow_heat_purchased + -1 * en_cost.aggregate_flow_heat + == treat_cost.aggregate_flow_heat + self.aggregate_flow_heat_sold + ) ) - ) - self.frac_from_grid_constraint = pyo.Constraint( - expr=( - self.frac_from_grid - == self.aggregate_flow_heat_purchased / treat_cost.aggregate_flow_heat + self.frac_heat_from_grid_constraint = pyo.Constraint( + expr=( + self.frac_heat_from_grid + == self.aggregate_flow_heat_purchased / treat_cost.aggregate_flow_heat + ) ) - ) - self.aggregate_heat_complement = pyo.Constraint( - expr=self.aggregate_flow_heat_purchased * self.aggregate_flow_heat_sold == 0 - ) + self.aggregate_heat_complement = pyo.Constraint( + expr=self.aggregate_flow_heat_purchased * self.aggregate_flow_heat_sold == 0 + ) # Build the integrated system costs self.build_integrated_costs() @@ -248,7 +266,7 @@ def build_integrated_costs(self): self.total_operating_cost_constraint = pyo.Constraint( expr=self.total_operating_cost == pyo.units.convert( - treat_cost.total_operating_cost + en_cost.total_operating_cost, + treat_cost.total_operating_cost + en_cost.total_operating_cost + self.total_heat_operating_cost + self.total_electric_operating_cost, to_units=self.base_currency / self.base_period, ) ) @@ -268,7 +286,7 @@ def build_integrated_costs(self): ) * self.electricity_cost_sell ) - * self.utilization_factor + # * self.utilization_factor ) # positive is for cost and negative for revenue @@ -286,17 +304,11 @@ def build_integrated_costs(self): ) * self.heat_cost_sell ) - * self.utilization_factor + # * self.utilization_factor ) - # self.aggregate_flow_electricity_constraint = pyo.Constraint( - # expr=self.aggregate_flow_electricity - # == treat_cost.aggregate_flow_electricity - # + en_cost.aggregate_flow_electricity - # ) - # positive is for consumption - self.aggregate_flow_electricity = pyo.Constraint( + self.aggregate_flow_electricity_constraint = pyo.Constraint( expr=self.aggregate_flow_electricity == self.aggregate_flow_electricity_purchased - self.aggregate_flow_electricity_sold @@ -307,11 +319,9 @@ def build_integrated_costs(self): self.aggregate_flow_heat_constraint = pyo.Constraint( expr=self.aggregate_flow_heat == self.aggregate_flow_heat_purchased - - self.aggregate_flow_heat_sold # treat_cost.aggregate_flow_heat + en_cost.aggregate_flow_heat + - self.aggregate_flow_heat_sold ) - # self.aggregate_flow_heat = pyo.Expression( - # expr=self.aggregate_flow_heat_purchased - self.aggregate_flow_heat_sold - # ) + def add_LCOW(self, flow_rate, name="LCOW"): """ From 120c2fffe0cfc34866b36ed02a5cf9106042b859 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Wed, 6 Nov 2024 12:01:29 -0700 Subject: [PATCH 024/116] ran sweeps, and black --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 320 +++++++++++++----- .../case_studies/KBHDP/RPT3_sweeps.py | 30 ++ .../case_studies/KBHDP/components/FPC.py | 11 +- .../case_studies/KBHDP/components/MD.py | 50 +-- .../costing/watertap_reflo_costing_package.py | 24 +- .../data/flat_plate_data_heat_load_1_100.pkl | Bin 0 -> 197425 bytes .../flat_plate/data/pysam_run_flat_plate.py | 4 +- .../data/training_flat_plate_surrogate.py | 8 +- 8 files changed, 329 insertions(+), 118 deletions(-) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/RPT3_sweeps.py create mode 100644 src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/flat_plate_data_heat_load_1_100.pkl diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 4073a522..57a0bde1 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -16,6 +16,7 @@ RangeSet, check_optimal_termination, units as pyunits, + SolverFactory, ) from pyomo.network import Arc, SequentialDecomposition from pyomo.util.check_units import assert_units_consistent @@ -46,6 +47,7 @@ from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.MD import * from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.FPC import * from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.deep_well_injection import * +import pandas as pd def propagate_state(arc): @@ -70,8 +72,12 @@ def build_system(inlet_cond, n_time_points): m.fs.product = Product(property_package=m.fs.params) # m.fs.disposal = Product(property_package=m.fs.params) + add_constraints(m) + m.fs.water_recovery.fix(inlet_cond["water_recovery"]) + # Create MD unit model at flowsheet level m.fs.treatment.md = FlowsheetBlock(dynamic=False) + model_options, n_time_points = build_md( m, m.fs.treatment.md, inlet_cond, n_time_points ) @@ -103,47 +109,46 @@ def add_connections(m): TransformationFactory("network.expand_arcs").apply_to(m) -# TODO: Should the recovery be a constraint of a variable thats fixed? def add_constraints(m): m.fs.water_recovery = Var( - initialize=0.5, + initialize=0.3, bounds=(0, 0.99), domain=NonNegativeReals, units=pyunits.dimensionless, doc="System Water Recovery", ) - m.fs.feed_flow_mass = Var( - initialize=1, - bounds=(0.00001, 1e6), - domain=NonNegativeReals, - units=pyunits.kg / pyunits.s, - doc="System Feed Flowrate", - ) + # m.fs.feed_flow_mass = Var( + # initialize=1, + # bounds=(0.00001, 1e6), + # domain=NonNegativeReals, + # units=pyunits.kg / pyunits.s, + # doc="System Feed Flowrate", + # ) - m.fs.feed_flow_vol = Var( - initialize=1, - bounds=(0.00001, 1e6), - domain=NonNegativeReals, - units=pyunits.L / pyunits.s, - doc="System Feed Flowrate", - ) + # m.fs.feed_flow_vol = Var( + # initialize=1, + # bounds=(0.00001, 1e6), + # domain=NonNegativeReals, + # units=pyunits.L / pyunits.s, + # doc="System Feed Flowrate", + # ) - m.fs.perm_flow_mass = Var( - initialize=1, - bounds=(0.00001, 1e6), - domain=NonNegativeReals, - units=pyunits.kg / pyunits.s, - doc="System Produce Flowrate", - ) + # m.fs.perm_flow_mass = Var( + # initialize=1, + # bounds=(0.00001, 1e6), + # domain=NonNegativeReals, + # units=pyunits.kg / pyunits.s, + # doc="System Produce Flowrate", + # ) - m.fs.eq_water_recovery = Constraint( - expr=m.fs.feed.properties[0].flow_vol * m.fs.water_recovery - == m.fs.product.properties[0].flow_vol - ) + # m.fs.eq_water_recovery = Constraint( + # expr=m.fs.feed.properties[0].flow_vol * m.fs.water_recovery + # == m.fs.product.properties[0].flow_vol + # ) - m.fs.feed.properties[0].conc_mass_phase_comp - m.fs.product.properties[0].conc_mass_phase_comp + # m.fs.feed.properties[0].conc_mass_phase_comp + # m.fs.product.properties[0].conc_mass_phase_comp # m.fs.disposal.properties[0].conc_mass_phase_comp @@ -159,16 +164,21 @@ def eq_thermal_req(b): def add_costing(m, treatment_costing_block, energy_costing_block): + # Solving the system before adding costing + solver = SolverFactory("ipopt") + solve(m, solver=solver, tee=False) add_fpc_costing(m.fs.energy.fpc, energy_costing_block) add_md_costing(m.fs.treatment.md.unit, treatment_costing_block) add_DWI_costing(m.fs.treatment, m.fs.treatment.dwi, treatment_costing_block) def calc_costing(m): + # Touching variables to solve for volumetric flow rate + m.fs.product.properties[0].flow_vol_phase # Treatment costing - m.fs.treatment.costing.capital_recovery_factor.fix(0.08764) - m.fs.treatment.costing.wacc.unfix() + # m.fs.treatment.costing.capital_recovery_factor.fix(0.08764) + # m.fs.treatment.costing.wacc.unfix() m.fs.treatment.costing.cost_process() m.fs.treatment.costing.initialize() @@ -186,21 +196,18 @@ def calc_costing(m): m.fs.energy.costing.add_LCOW(m.fs.product.properties[0].flow_vol) -def add_system_costing(m): +def add_system_costing(m, heat_price=0.01, frac_heat_from_grid=0.01): # System costing m.fs.sys_costing = REFLOSystemCosting() - # m.fs.sys_costing.wacc.unfix() - m.fs.sys_costing.frac_heat_from_grid.fix(0.01) - # m.fs.sys_costing.frac_elec_from_grid.fix(0.1) - m.fs.sys_costing.heat_cost_buy.set_value(1) + m.fs.sys_costing.frac_heat_from_grid.fix(frac_heat_from_grid) + m.fs.sys_costing.heat_cost_buy.set_value(heat_price) m.fs.sys_costing.cost_process() m.fs.sys_costing.initialize() - + m.fs.sys_costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) m.fs.sys_costing.add_LCOW(m.fs.product.properties[0].flow_vol) - def set_inlet_conditions(blk, model_options): print(f'\n{"=======> SETTING FEED CONDITIONS <=======":^60}\n') @@ -278,6 +285,11 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): return results +def optimize(m): + m.fs.sys_costing.frac_heat_from_grid.unfix() + m.fs.obj = Objective(expr=m.fs.sys_costing.LCOW) + + def report_sys_costing(blk): print(f"\n\n-------------------- System Costing Report --------------------\n") @@ -334,30 +346,37 @@ def report_sys_costing(blk): ) -if __name__ == "__main__": - - solver = get_solver() - solver = SolverFactory("ipopt") - - Qin = 4 * pyunits.Mgal / pyunits.day # KBHDP flow rate +def set_inlet_stream_conditions(Qinput=4, feed_salinity_input=12, water_recovery=0.5): + Qin = Qinput * pyunits.Mgal / pyunits.day # KBHDP flow rate Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) - feed_salinity = 12 * pyunits.g / pyunits.L - - overall_recovery = 0.5 + feed_salinity = feed_salinity_input * pyunits.g / pyunits.L + # water_recovery = 0.5 inlet_cond = { "inlet_flow_rate": Qin, "inlet_salinity": feed_salinity, - "recovery": overall_recovery, + "water_recovery": water_recovery, } + return inlet_cond + + +def main(water_recovery=0.5, heat_price=0.07, frac_heat_from_grid=0.01): + solver = get_solver() + solver = SolverFactory("ipopt") + + inlet_cond = set_inlet_stream_conditions( + Qinput=4, feed_salinity_input=12, water_recovery=water_recovery + ) + n_time_points = None # Build MD, DWI and FPC m, model_options, n_time_points = build_system( inlet_cond, n_time_points=n_time_points ) + set_inlet_conditions(m.fs, model_options) init_system(m, m.fs, model_options, n_time_points) @@ -366,10 +385,6 @@ def report_sys_costing(blk): print(f"\nBefore Costing System Degrees of Freedom: {degrees_of_freedom(m)}") - results = solver.solve(m) - - # Touching variables to solve for volumetric flow rate - m.fs.product.properties[0].flow_vol_phase # m.fs.disposal.properties[0].flow_vol_phase add_costing( @@ -379,30 +394,26 @@ def report_sys_costing(blk): ) calc_costing(m) - add_system_costing(m) + add_system_costing(m, heat_price, frac_heat_from_grid) # add_energy_constraints(m) print(f"\nAfter Costing System Degrees of Freedom: {degrees_of_freedom(m)}") - print("Treatment block:", degrees_of_freedom(m.fs.treatment)) - print("Treatment costing block:", degrees_of_freedom(m.fs.treatment.costing)) - print("Energy block:", degrees_of_freedom(m.fs.energy)) - print("Energy costing block:", degrees_of_freedom(m.fs.energy.costing)) - results = solver.solve(m) + # results = solver.solve(m) + solve(m, solver=solver, tee=False) print_infeasible_constraints(m) print(f"\nAfter Solve System Degrees of Freedom: {degrees_of_freedom(m)}") - print("Treatment block:", degrees_of_freedom(m.fs.treatment)) - print("Treatment costing block:", degrees_of_freedom(m.fs.treatment.costing)) - print("Energy block:", degrees_of_freedom(m.fs.energy)) - print("Energy costing block:", degrees_of_freedom(m.fs.energy.costing)) - m.fs.sys_costing.frac_heat_from_grid.unfix() + optimize(m) + solve(m, solver=solver, tee=False) + + return m - m.fs.obj = Objective(expr=m.fs.sys_costing.LCOW) - results = solver.solve(m) + +def print_results_summary(m): print(f"\nAfter Optimization System Degrees of Freedom: {degrees_of_freedom(m)}") @@ -421,6 +432,11 @@ def report_sys_costing(blk): f'{"System LCOW":<30s}{value(m.fs.sys_costing.LCOW):<10.2f}{pyunits.get_units(m.fs.sys_costing.LCOW)}' ) + print("\n") + print( + f'{"Percent from the grid":<30s}{value(m.fs.sys_costing.frac_heat_from_grid):<10.2f}{pyunits.get_units(m.fs.sys_costing.frac_heat_from_grid)}' + ) + report_MD(m, m.fs.treatment.md) report_md_costing(m, m.fs.treatment) @@ -430,18 +446,162 @@ def report_sys_costing(blk): report_fpc_costing(m, m.fs.energy) report_sys_costing(m.fs.sys_costing) - # print("\nTreatment") - # m.fs.treatment.costing.aggregate_fixed_operating_cost.display() - # m.fs.treatment.costing.aggregate_variable_operating_cost.display() - # m.fs.treatment.costing.total_operating_cost.display() - # m.fs.treatment.costing.total_capital_cost.display() - - # print("\nEnergy") - # m.fs.energy.costing.aggregate_fixed_operating_cost.display() - # m.fs.energy.costing.aggregate_variable_operating_cost.display() - # m.fs.energy.costing.total_capital_cost.display() - # m.fs.energy.costing.total_operating_cost.display() - - # m.fs.sys_costing.display() - # m.fs.energy.costing.display() - # m.fs.energy.display() + +def save_results(m, sweep_type=None): + + results_df = pd.DataFrame( + columns=[ + "water_recovery", + "heat_price", + "frac_heat_from_grid", + "product_annual_production", + "utilization_factor", + "capital_recovery_factor", + "unit", + "cost_component", + "cost", + "norm_cost_component", + ] + ) + + capex_output = { + "FPC": value(m.fs.energy.fpc.unit.costing.capital_cost) + * value(m.fs.sys_costing.capital_recovery_factor), + "MD": value( + m.fs.treatment.md.unit.get_active_process_blocks()[ + -1 + ].fs.vagmd.costing.capital_cost + ) + * value(m.fs.sys_costing.capital_recovery_factor), + "DWI": 0, + "Heat": 0, + "Electricity": 0, + } + + fixed_opex_output = { + "FPC": value(m.fs.energy.fpc.unit.costing.fixed_operating_cost) + + value(m.fs.energy.fpc.unit.costing.capital_cost) + * value(m.fs.energy.costing.maintenance_labor_chemical_factor), + "MD": value( + m.fs.treatment.md.unit.get_active_process_blocks()[ + -1 + ].fs.vagmd.costing.fixed_operating_cost + ) + + value( + m.fs.treatment.md.unit.get_active_process_blocks()[ + -1 + ].fs.vagmd.costing.capital_cost + ) + * value(m.fs.treatment.costing.maintenance_labor_chemical_factor), + "DWI": 0, + "Heat": 0, + "Electricity": 0, + } + variable_opex_output = { + "FPC": 0, + "MD": 0, + "DWI": value(m.fs.treatment.dwi.unit.costing.variable_operating_cost), + "Heat": value(m.fs.sys_costing.total_heat_operating_cost), + "Electricity": value(m.fs.sys_costing.total_electric_operating_cost), + } + + for unit in ["FPC", "MD", "DWI", "Heat", "Electricity"]: + # Add fixed_opex + temp = plot_results = { + "water_recovery": value(m.fs.water_recovery), + "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), + "product_annual_production": value( + m.fs.sys_costing.annual_water_production + ), + "utilization_factor": value(m.fs.sys_costing.utilization_factor), + "capital_recovery_factor": value(m.fs.sys_costing.capital_recovery_factor), + "unit": unit, + "cost_component": "fixed_opex", + "cost": fixed_opex_output[unit], + } + results_df = results_df.append(temp, ignore_index=True) + # Add variable opex + temp = plot_results = { + "water_recovery": value(m.fs.water_recovery), + "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), + "product_annual_production": value( + m.fs.sys_costing.annual_water_production + ), + "utilization_factor": value(m.fs.sys_costing.utilization_factor), + "capital_recovery_factor": value(m.fs.sys_costing.capital_recovery_factor), + "unit": unit, + "cost_component": "variable_opex", + "cost": variable_opex_output[unit], + } + results_df = results_df.append(temp, ignore_index=True) + + # Add opex + temp = plot_results = { + "water_recovery": value(m.fs.water_recovery), + "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), + "product_annual_production": value( + m.fs.sys_costing.annual_water_production + ), + "utilization_factor": value(m.fs.sys_costing.utilization_factor), + "capital_recovery_factor": value(m.fs.sys_costing.capital_recovery_factor), + "unit": unit, + "cost_component": "opex", + "cost": variable_opex_output[unit] + fixed_opex_output[unit], + } + results_df = results_df.append(temp, ignore_index=True) + + # Add capex + temp = plot_results = { + "water_recovery": value(m.fs.water_recovery), + "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), + "product_annual_production": value( + m.fs.sys_costing.annual_water_production + ), + "utilization_factor": value(m.fs.sys_costing.utilization_factor), + "capital_recovery_factor": value(m.fs.sys_costing.capital_recovery_factor), + "unit": unit, + "cost_component": "capex", + "cost": capex_output[unit], + } + results_df = results_df.append(temp, ignore_index=True) + + results_df["norm_cost_component"] = ( + results_df["cost"] + / results_df["product_annual_production"] + / results_df["utilization_factor"] + ) + + file_name = ( + "RPT3_water_recovery_" + + str(value(m.fs.water_recovery)) + + "_heat_price_" + + str(value(m.fs.sys_costing.heat_cost_buy)) + ) + + if sweep_type != None: + results_df.to_csv( + r"C:\Users\mhardika\Documents\SETO\Case Studies\RPT3\RPT3_results\\" + + sweep_type + + "\\" + + file_name + + ".csv" + ) + else: + results_df.to_csv( + r"C:\Users\mhardika\Documents\SETO\Case Studies\RPT3\RPT3_results\\" + + file_name + + ".csv" + ) + # Flow cost + + +if __name__ == "__main__": + + m = main(water_recovery=0.2, heat_price=0.08, frac_heat_from_grid=0.01) + + save_results(m) + print_results_summary(m) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/RPT3_sweeps.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/RPT3_sweeps.py new file mode 100644 index 00000000..83da2b82 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/RPT3_sweeps.py @@ -0,0 +1,30 @@ +from idaes.core.solvers import get_solver +from pyomo.environ import SolverFactory +from watertap_contrib.reflo.analysis.case_studies.KBHDP.KBHDP_RPT_3 import ( + main, + save_results, +) + + +def sweep(sweep_type, water_recovery=0.5, heat_price=0.07, frac_heat_from_grid=0.01): + m = main( + water_recovery=water_recovery, + heat_price=heat_price, + frac_heat_from_grid=frac_heat_from_grid, + ) + save_results(m, sweep_type=sweep_type) + + +if __name__ == "__main__": + water_recovery_sweep = [0.2, 0.3, 0.4, 0.5, 0.6, 0.7] + heat_price_sweep = [0.07, 0.075, 0.08, 0.085, 0.09, 0.095, 0.1] + for recovery in water_recovery_sweep: + sweep( + "water_recovery_1", + water_recovery=recovery, + heat_price=0.08, + frac_heat_from_grid=0.01, + ) + + # for heat_price in heat_price_sweep: + # sweep('heat_price_1',water_recovery=0.5,heat_price = heat_price,frac_heat_from_grid=0.01) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 78b084c2..3bcc9c84 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -30,6 +30,15 @@ EnergyCosting, ) +__all__ = [ + "build_fpc", + "init_fpc", + "set_fpc_op_conditions", + "add_fpc_costing", + "report_fpc", + "report_fpc_costing", +] + def build_system(): m = ConcreteModel() @@ -214,6 +223,4 @@ def report_fpc_costing(m, blk): report_fpc(m, m.fs.fpc.unit) report_fpc_costing(m, m.fs) - m.fs.costing.display() - m.fs.fpc.unit.display() # m.fs.costing.used_flows.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 6a70af7a..847abc49 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -16,6 +16,7 @@ RangeSet, check_optimal_termination, units as pyunits, + SolverFactory, ) from pyomo.network import Arc, SequentialDecomposition from pyomo.util.check_units import assert_units_consistent @@ -62,6 +63,17 @@ import matplotlib.pyplot as plt +__all__ = [ + "build_md", + "set_md_model_options", + "init_md", + "set_md_op_conditions", + "md_output", + "add_md_costing", + "report_MD", + "report_md_costing", +] + def propagate_state(arc): _prop_state(arc) @@ -80,6 +92,14 @@ def build_system(inlet_cond, n_time_points=None): m.fs.product = Product(property_package=m.fs.params) m.fs.disposal = Product(property_package=m.fs.params) + m.fs.water_recovery = Var( + initialize=0.45, + bounds=(0, 0.99), + domain=NonNegativeReals, + units=pyunits.dimensionless, + doc="System Water Recovery", + ) + # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) model_options, n_time_points = build_md(m, m.fs.md, inlet_cond, n_time_points) @@ -103,9 +123,9 @@ def add_connections(m): TransformationFactory("network.expand_arcs").apply_to(m) -def set_md_model_options(inlet_cond, n_time_points=None): +def set_md_model_options(m, inlet_cond, n_time_points=None): - system_capacity = inlet_cond["recovery"] * pyunits.convert( + system_capacity = m.fs.water_recovery * pyunits.convert( inlet_cond["inlet_flow_rate"], to_units=pyunits.m**3 / pyunits.day ) feed_salinity = pyunits.convert( @@ -135,7 +155,7 @@ def set_md_model_options(inlet_cond, n_time_points=None): cond_inlet_temp=model_options["cond_inlet_temp"], feed_temp=model_options["feed_temp"], feed_salinity=model_options["feed_salinity"], - recovery_ratio=inlet_cond["recovery"], + recovery_ratio=m.fs.water_recovery(), # inlet_cond["recovery"], initial_batch_volume=model_options["initial_batch_volume"], module_type=model_options["module_type"], cooling_system_type=model_options["cooling_system_type"], @@ -155,7 +175,7 @@ def build_md(m, blk, inlet_cond, n_time_points=None) -> None: blk.permeate = StateJunction(property_package=m.fs.params) blk.concentrate = StateJunction(property_package=m.fs.params) - model_options, n_time_points = set_md_model_options(inlet_cond, n_time_points) + model_options, n_time_points = set_md_model_options(m, inlet_cond, n_time_points) # Build the multiperiod object for MD blk.unit = MultiPeriodModel( @@ -681,13 +701,14 @@ def report_md_costing(m, blk): if __name__ == "__main__": solver = get_solver() + solver = SolverFactory("ipopt") Qin = 4 * pyunits.Mgal / pyunits.day # KBHDP flow rate Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) feed_salinity = 12 * pyunits.g / pyunits.L - overall_recovery = 0.45 + overall_recovery = 0.8 inlet_cond = { "inlet_flow_rate": Qin, @@ -743,21 +764,4 @@ def report_md_costing(m, blk): heat_in = [value(active_blks[i].fs.pre_thermal_power) for i in range(n_time_points)] - # plt.plot(t_minutes,heat_in) - # plt.show() - - # print("\nCalculate n_time points", n_time_points) - # print( - # "Time step duration:", - # value(active_blks[0].fs.dt), - # pyunits.get_units(active_blks[0].fs.dt), - # ) - - # batch_duration = n_time_points * active_blks[0].fs.dt - # print("Batch duration:", value(batch_duration), pyunits.get_units(batch_duration)) - # no_of_batches = 24 * pyunits.h / pyunits.convert(batch_duration, to_units=pyunits.h) - # print("Number of batches in 24h:", value(no_of_batches)) - - # m.fs.md.permeate.properties[0].flow_vol_phase.display() - # vagmd = m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd - # vagmd.costing.display() + m.fs.water_recovery.display() diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index 21006cce..f1477c3c 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -67,6 +67,7 @@ def build_global_params(self): def build_process_costs(self): super().build_process_costs() + # TODO: Add heat terms only when heat flow type exists # Define frac elec flow only when electricity is generated? @declare_process_block_class("REFLOSystemCosting") @@ -127,7 +128,7 @@ def build_global_params(self): domain=pyo.NonNegativeReals, doc="Fraction of electricity from grid", units=pyo.units.dimensionless, - ) + ) self.aggregate_flow_electricity_purchased = pyo.Var( initialize=0, @@ -170,7 +171,8 @@ def build_global_params(self): self.frac_elec_from_grid_constraint = pyo.Constraint( expr=( self.frac_elec_from_grid - == self.aggregate_flow_electricity_purchased / treat_cost.aggregate_flow_electricity + == self.aggregate_flow_electricity_purchased + / treat_cost.aggregate_flow_electricity ) ) @@ -185,7 +187,8 @@ def build_global_params(self): # energy producer's heat flow is negative self.aggregate_heat_balance = pyo.Constraint( expr=( - self.aggregate_flow_heat_purchased + -1 * en_cost.aggregate_flow_heat + self.aggregate_flow_heat_purchased + + -1 * en_cost.aggregate_flow_heat == treat_cost.aggregate_flow_heat + self.aggregate_flow_heat_sold ) ) @@ -193,12 +196,14 @@ def build_global_params(self): self.frac_heat_from_grid_constraint = pyo.Constraint( expr=( self.frac_heat_from_grid - == self.aggregate_flow_heat_purchased / treat_cost.aggregate_flow_heat + == self.aggregate_flow_heat_purchased + / treat_cost.aggregate_flow_heat ) ) self.aggregate_heat_complement = pyo.Constraint( - expr=self.aggregate_flow_heat_purchased * self.aggregate_flow_heat_sold == 0 + expr=self.aggregate_flow_heat_purchased * self.aggregate_flow_heat_sold + == 0 ) # Build the integrated system costs @@ -266,7 +271,10 @@ def build_integrated_costs(self): self.total_operating_cost_constraint = pyo.Constraint( expr=self.total_operating_cost == pyo.units.convert( - treat_cost.total_operating_cost + en_cost.total_operating_cost + self.total_heat_operating_cost + self.total_electric_operating_cost, + treat_cost.total_operating_cost + + en_cost.total_operating_cost + + self.total_heat_operating_cost + + self.total_electric_operating_cost, to_units=self.base_currency / self.base_period, ) ) @@ -318,11 +326,9 @@ def build_integrated_costs(self): if all(hasattr(b, "aggregate_flow_heat") for b in [treat_cost, en_cost]): self.aggregate_flow_heat_constraint = pyo.Constraint( expr=self.aggregate_flow_heat - == self.aggregate_flow_heat_purchased - - self.aggregate_flow_heat_sold + == self.aggregate_flow_heat_purchased - self.aggregate_flow_heat_sold ) - def add_LCOW(self, flow_rate, name="LCOW"): """ Add Levelized Cost of 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zs@LH@(^2+3xGH3V_L+S59Gr8W9{qJdi@^lxQ`Nu zGr~8de<65QmysQ@5%*25trypqyo7rhTNdUx@BN)$COo~nkU*NYX zF%b7Ql1_NXt-?J4g$OIJp-g=K{Ei#OxZe~rX=fiJ6!(L+-aGIo&eOX!*HynVMLluO zoJbCv4K{5v;&o>H-j|Vjv(j!IWsywx$)qpK-#B*2Qv>G~G0UTGh*Q8d-O%(I_w*$E z=EbhRO7~x+eSiy^JEYGfbtkEB2=5RaSaM_Fm!qa@tdE9H7(%u((QVn^j^?3CYDb|1dDC<3`^?Vf*NWSR)m^SlpJQEUjPd7>8 zLb+^b@S%9zcRkI#pEoCkK^YzveKmXk=auI0@m4bPJUc8XG zo2=y0i;PLsq2$67%8{gYAC@@685A_uMyj)&55`WRZ-#jR?7TYCSF76@v-@6yL zmfH2NMRxzkBB6Mc=>N6J9Btb3^PWffdh-Ns{y{u1kx6GZEb~8Ap#y>fR+g*@n(WW`0RgvgUt*;s5-V!clGk-U8mgkJCjYl;Q~l{18#JNGR>* Date: Tue, 12 Nov 2024 09:39:42 -0700 Subject: [PATCH 025/116] MD solving till recovery 0.8 --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 2 +- .../case_studies/KBHDP/components/FPC.py | 30 +++--- .../case_studies/KBHDP/components/MD.py | 93 ++++++++++++------- .../vagmd_batch/VAGMD_batch_flowsheet.py | 3 + 4 files changed, 81 insertions(+), 47 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 57a0bde1..fe6b1ddd 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -601,7 +601,7 @@ def save_results(m, sweep_type=None): if __name__ == "__main__": - m = main(water_recovery=0.2, heat_price=0.08, frac_heat_from_grid=0.01) + m = main(water_recovery=0.8, heat_price=0.08, frac_heat_from_grid=0.01) save_results(m) print_results_summary(m) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 3bcc9c84..500419f8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -146,10 +146,16 @@ def report_fpc(m, blk): f'{"Heat annual":<30s}{value(blk.heat_annual):<20,.2f}{pyunits.get_units(blk.heat_annual)}' ) + print(f'{"Heat":<30s}{value(blk.heat):<20,.2f}{pyunits.get_units(blk.heat)}') + print( f'{"Electricity annual":<30s}{value(blk.electricity_annual):<20,.2f}{pyunits.get_units(blk.electricity_annual)}' ) + print( + f'{"Electricity":<30s}{value(blk.electricity):<20,.2f}{pyunits.get_units(blk.electricity)}' + ) + def report_fpc_costing(m, blk): print(f"\n\n-------------------- FPC Costing Report --------------------\n") @@ -179,21 +185,21 @@ def report_fpc_costing(m, blk): # f'{"Aggregated Variable Operating Cost":<30s}{value(blk.costing.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.aggregate_variable_operating_cost)}' # ) - print( - f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' - ) + # print( + # f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + # ) - print( - f'{"Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' - ) + # print( + # f'{"Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' + # ) - print( - f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' - ) + # print( + # f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' + # ) - print( - f'{"Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' - ) + # print( + # f'{"Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' + # ) if __name__ == "__main__": diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 847abc49..b7c423a4 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -92,13 +92,13 @@ def build_system(inlet_cond, n_time_points=None): m.fs.product = Product(property_package=m.fs.params) m.fs.disposal = Product(property_package=m.fs.params) - m.fs.water_recovery = Var( - initialize=0.45, - bounds=(0, 0.99), - domain=NonNegativeReals, - units=pyunits.dimensionless, - doc="System Water Recovery", - ) + # m.fs.water_recovery = Var( + # initialize=0.5, + # bounds=(0, 0.99), + # domain=NonNegativeReals, + # units=pyunits.dimensionless, + # doc="System Water Recovery", + # ) # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) @@ -125,7 +125,7 @@ def add_connections(m): def set_md_model_options(m, inlet_cond, n_time_points=None): - system_capacity = m.fs.water_recovery * pyunits.convert( + system_capacity = inlet_cond["recovery"] * pyunits.convert( inlet_cond["inlet_flow_rate"], to_units=pyunits.m**3 / pyunits.day ) feed_salinity = pyunits.convert( @@ -134,7 +134,7 @@ def set_md_model_options(m, inlet_cond, n_time_points=None): model_options = { "dt": None, - "system_capacity": system_capacity, # m3/day + "system_capacity": system_capacity(), # m3/day "feed_flow_rate": 750, # L/h "evap_inlet_temp": 80, "cond_inlet_temp": 30, @@ -155,7 +155,7 @@ def set_md_model_options(m, inlet_cond, n_time_points=None): cond_inlet_temp=model_options["cond_inlet_temp"], feed_temp=model_options["feed_temp"], feed_salinity=model_options["feed_salinity"], - recovery_ratio=m.fs.water_recovery(), # inlet_cond["recovery"], + recovery_ratio= inlet_cond["recovery"], initial_batch_volume=model_options["initial_batch_volume"], module_type=model_options["module_type"], cooling_system_type=model_options["cooling_system_type"], @@ -532,6 +532,9 @@ def calc_costing(m, blk): # active_blks = m.fs.md.unit.get_active_process_blocks() # m.fs.costing.add_annual_water_production(active_blks[-1].fs.vagmd.system_capacity) # m.fs.costing.add_LCOW(active_blks[-1].fs.vagmd.system_capacity) + + # Touching variables to solve for volumetric flow rate + m.fs.product.properties[0].flow_vol_phase prod_flow = pyunits.convert( m.fs.product.properties[0].flow_vol_phase["Liq"], @@ -708,7 +711,7 @@ def report_md_costing(m, blk): feed_salinity = 12 * pyunits.g / pyunits.L - overall_recovery = 0.8 + overall_recovery = 0.9 inlet_cond = { "inlet_flow_rate": Qin, @@ -716,7 +719,7 @@ def report_md_costing(m, blk): "recovery": overall_recovery, } - n_time_points = 2 # None + n_time_points = 32#None m, model_options, n_time_points = build_system( inlet_cond, n_time_points=n_time_points ) @@ -727,41 +730,63 @@ def report_md_costing(m, blk): set_md_op_conditions(m.fs.md) - results = solver.solve(m) + results = solve(m, solver=solver, tee=False) + # results= solver.solve(m) + print("\n--------- Solve 1 Completed ---------\n") + # m.fs.md.unit.get_active_process_blocks()[0].fs.dt.display() + # m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.permeate_flux.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.pre_permeate_flow_rate.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.pre_evap_out_temp.display() + # m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.thermal_power.display() + # m.fs.md.unit.get_active_process_blocks()[0].fs.specific_energy_consumption_thermal.display() + + # m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.permeate_flux.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.pre_permeate_flow_rate.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.pre_evap_out_temp.display() + # m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.thermal_power.display() + # m.fs.md.unit.get_active_process_blocks()[1].fs.specific_energy_consumption_thermal.display() + + # m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.permeate_flux.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_permeate_flow_rate.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_evap_out_temp.display() + # m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.thermal_power.display() + # m.fs.md.unit.get_active_process_blocks()[-1].fs.specific_energy_consumption_thermal.display() + + # m.fs.disposal.properties[0].flow_vol_phase - # Touching variables to solve for volumetric flow rate - m.fs.product.properties[0].flow_vol_phase - m.fs.disposal.properties[0].flow_vol_phase + add_md_costing(m.fs.md.unit, costing_block=m.fs.costing) - # results = solver.solve(m) + # results = solve(m, solver=solver, tee=False) + # print("\n--------- Solve 2 Completed ---------\n") - add_md_costing(m.fs.md.unit, costing_block=m.fs.costing) calc_costing(m, m.fs) - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + print("\nSystem Degrees of Freedom:", degrees_of_freedom(m),"\n") assert degrees_of_freedom(m) == 0 - results = solver.solve(m) + results = solve(m, solver=solver, tee=False) + print("\n--------- Cost solve Completed ---------\n") + print("Inlet flow rate in m3/day:", Qin()) report_MD(m, m.fs.md) report_md_costing(m, m.fs) - # try: - # results = solver.solve(m.fs.md) - # except ValueError: - # # m.fs.md.unit.active_blocks[0].fs.vagmd.display() - # print_infeasible_constraints(m) - - active_blks = m.fs.md.unit.get_active_process_blocks() + # active_blks = m.fs.md.unit.get_active_process_blocks() - permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( - m.fs, n_time_points, model_options - ) + # permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( + # m.fs, n_time_points, model_options + # ) - time_period = [i for i in range(n_time_points)] - t_minutes = [value(active_blks[i].fs.dt) * i / 60 for i in range(n_time_points)] + # time_period = [i for i in range(n_time_points)] + # t_minutes = [value(active_blks[i].fs.dt) * i / 60 for i in range(n_time_points)] - heat_in = [value(active_blks[i].fs.pre_thermal_power) for i in range(n_time_points)] + # heat_in = [value(active_blks[i].fs.pre_thermal_power) for i in range(n_time_points)] - m.fs.water_recovery.display() + # m.fs.water_recovery.display() diff --git a/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py b/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py index ec74f6c5..50e40f39 100644 --- a/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py +++ b/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py @@ -135,6 +135,7 @@ def build_vagmd_flowsheet( ) m.fs.pre_permeate_flow_rate = Var( initialize=1e-5, + bounds=(0,None), units=pyunits.m**3 / pyunits.s, doc="Permeate flow rate from previous time step", ) @@ -195,6 +196,7 @@ def build_vagmd_flowsheet( """ m.fs.acc_distillate_volume = Var( initialize=0, + bounds=(0,None), units=pyunits.L, doc="Accumulated volume of distillate", ) @@ -225,6 +227,7 @@ def build_vagmd_flowsheet( m.fs.specific_energy_consumption_thermal = Var( initialize=100, + bounds=(0,None), units=pyunits.kWh / pyunits.m**3, doc="Specific thermal power consumption (kWh/m3)", ) From a99a0323531b199ed09e81752c0ea4f01c647eef Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Tue, 12 Nov 2024 15:22:31 -0700 Subject: [PATCH 026/116] MD working and updated to use system_recovery. --- .../case_studies/KBHDP/components/MD.py | 40 ++++++------------- 1 file changed, 13 insertions(+), 27 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index b7c423a4..058d36b5 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -92,13 +92,13 @@ def build_system(inlet_cond, n_time_points=None): m.fs.product = Product(property_package=m.fs.params) m.fs.disposal = Product(property_package=m.fs.params) - # m.fs.water_recovery = Var( - # initialize=0.5, - # bounds=(0, 0.99), - # domain=NonNegativeReals, - # units=pyunits.dimensionless, - # doc="System Water Recovery", - # ) + m.fs.water_recovery = Var( + initialize=0.8, + bounds=(0, 0.99), + domain=NonNegativeReals, + units=pyunits.dimensionless, + doc="System Water Recovery", + ) # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) @@ -125,7 +125,7 @@ def add_connections(m): def set_md_model_options(m, inlet_cond, n_time_points=None): - system_capacity = inlet_cond["recovery"] * pyunits.convert( + system_capacity = m.fs.water_recovery * pyunits.convert( inlet_cond["inlet_flow_rate"], to_units=pyunits.m**3 / pyunits.day ) feed_salinity = pyunits.convert( @@ -155,7 +155,7 @@ def set_md_model_options(m, inlet_cond, n_time_points=None): cond_inlet_temp=model_options["cond_inlet_temp"], feed_temp=model_options["feed_temp"], feed_salinity=model_options["feed_salinity"], - recovery_ratio= inlet_cond["recovery"], + recovery_ratio= m.fs.water_recovery(), initial_batch_volume=model_options["initial_batch_volume"], module_type=model_options["module_type"], cooling_system_type=model_options["cooling_system_type"], @@ -249,8 +249,6 @@ def get_permeate_flow(b): ), to_units=pyunits.m**3 / pyunits.s, ) - # *1000*pyunits.kg/pyunits.m**3 - # , to_units = pyunits.kg/pyunits.s) ) blk.permeate.properties[0].flow_mass_phase_comp["Liq", "TDS"].fix(0) @@ -309,12 +307,6 @@ def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None) print(f"MD Degrees of Freedom: {degrees_of_freedom(blk)}") print("\n\n") - # # Converting to units L/h and supplying value only - # feed_flow_rate = model_options["feed_flow_rate"] - # feed_salinity = model_options["feed_salinity"] - # # Converting temperature to C units - # feed_temp = model_options["feed_temp"] - m.fs.feed.initialize() propagate_state(m.fs.feed_to_md) @@ -351,9 +343,7 @@ def set_md_op_conditions(blk): active_blks = blk.unit.get_active_process_blocks() - # # Set-up for the first time period - # feed_salinity = model_options["feed_salinity"] - # feed_temp = model_options["feed_temp"] + # Set-up for the first time period feed_flow_rate = pyunits.convert( blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h )() @@ -528,10 +518,6 @@ def calc_costing(m, blk): m.fs.costing.cost_process() m.fs.costing.initialize() - - # active_blks = m.fs.md.unit.get_active_process_blocks() - # m.fs.costing.add_annual_water_production(active_blks[-1].fs.vagmd.system_capacity) - # m.fs.costing.add_LCOW(active_blks[-1].fs.vagmd.system_capacity) # Touching variables to solve for volumetric flow rate m.fs.product.properties[0].flow_vol_phase @@ -711,15 +697,15 @@ def report_md_costing(m, blk): feed_salinity = 12 * pyunits.g / pyunits.L - overall_recovery = 0.9 + # overall_recovery = 0.9 inlet_cond = { "inlet_flow_rate": Qin, "inlet_salinity": feed_salinity, - "recovery": overall_recovery, + # "recovery": overall_recovery, } - n_time_points = 32#None + n_time_points = None m, model_options, n_time_points = build_system( inlet_cond, n_time_points=n_time_points ) From f6fc98d7c578fb9599a63efb73af075ef96125e4 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Tue, 12 Nov 2024 15:23:15 -0700 Subject: [PATCH 027/116] black and checkpoint --- .../reflo/analysis/case_studies/KBHDP/components/MD.py | 6 +++--- .../multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 058d36b5..d5cb3299 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -155,7 +155,7 @@ def set_md_model_options(m, inlet_cond, n_time_points=None): cond_inlet_temp=model_options["cond_inlet_temp"], feed_temp=model_options["feed_temp"], feed_salinity=model_options["feed_salinity"], - recovery_ratio= m.fs.water_recovery(), + recovery_ratio=m.fs.water_recovery(), initial_batch_volume=model_options["initial_batch_volume"], module_type=model_options["module_type"], cooling_system_type=model_options["cooling_system_type"], @@ -518,7 +518,7 @@ def calc_costing(m, blk): m.fs.costing.cost_process() m.fs.costing.initialize() - + # Touching variables to solve for volumetric flow rate m.fs.product.properties[0].flow_vol_phase @@ -753,7 +753,7 @@ def report_md_costing(m, blk): calc_costing(m, m.fs) - print("\nSystem Degrees of Freedom:", degrees_of_freedom(m),"\n") + print("\nSystem Degrees of Freedom:", degrees_of_freedom(m), "\n") assert degrees_of_freedom(m) == 0 diff --git a/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py b/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py index 50e40f39..b64fd68c 100644 --- a/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py +++ b/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_flowsheet.py @@ -135,7 +135,7 @@ def build_vagmd_flowsheet( ) m.fs.pre_permeate_flow_rate = Var( initialize=1e-5, - bounds=(0,None), + bounds=(0, None), units=pyunits.m**3 / pyunits.s, doc="Permeate flow rate from previous time step", ) @@ -196,7 +196,7 @@ def build_vagmd_flowsheet( """ m.fs.acc_distillate_volume = Var( initialize=0, - bounds=(0,None), + bounds=(0, None), units=pyunits.L, doc="Accumulated volume of distillate", ) @@ -227,7 +227,7 @@ def build_vagmd_flowsheet( m.fs.specific_energy_consumption_thermal = Var( initialize=100, - bounds=(0,None), + bounds=(0, None), units=pyunits.kWh / pyunits.m**3, doc="Specific thermal power consumption (kWh/m3)", ) From 39379fb9c7aa032a6bc89527ecfca66919912ca4 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 15 Nov 2024 11:04:17 -0700 Subject: [PATCH 028/116] run black and fix big costing merge --- .../reflo/analysis/case_studies/KBHDP/components/FPC.py | 2 -- .../reflo/costing/watertap_reflo_costing_package.py | 5 +---- 2 files changed, 1 insertion(+), 6 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 584cb96a..9984f65d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -72,7 +72,6 @@ def build_fpc(blk, __file__=None): input_bounds = dict( heat_load=[1, 400], hours_storage=[0, 27], temperature_hot=[50, 102] - ) input_units = dict(heat_load="MW", hours_storage="hour", temperature_hot="degK") input_variables = { @@ -106,7 +105,6 @@ def set_system_op_conditions(m): def set_fpc_op_conditions(blk, hours_storage=6, temperature_hot=80): - blk.unit.hours_storage.fix(hours_storage) # Assumes the hot temperature to the inlet of a 'MD HX' blk.unit.temperature_hot.fix(temperature_hot) diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index 3fd8917e..3cf2d619 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -60,7 +60,6 @@ def build_global_params(self): units=pyo.units.dimensionless, ) - self.heat_cost = pyo.Var( initialize=0.0, doc="Heat cost", @@ -380,7 +379,6 @@ def build_global_params(self): self.plant_lifetime.fix(20) self.utilization_factor.fix(1) - self.electricity_cost_buy = pyo.Param( mutable=True, initialize=0.07, @@ -651,7 +649,6 @@ def build_integrated_costs(self): ) ) - # positive is for cost and negative for revenue self.total_electric_operating_cost_constraint = pyo.Constraint( expr=self.total_electric_operating_cost @@ -686,12 +683,12 @@ def build_integrated_costs(self): ) ) - # positive is for consumption self.aggregate_flow_electricity_constraint = pyo.Constraint( expr=self.aggregate_flow_electricity == self.aggregate_flow_electricity_purchased - self.aggregate_flow_electricity_sold + ) self.aggregate_flow_heat_constraint = pyo.Constraint( expr=self.aggregate_flow_heat From c54a46c902943b0237ed8fd592ec6140bbb7ecf1 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 15 Nov 2024 11:29:45 -0700 Subject: [PATCH 029/116] update costing pkg --- .../costing/watertap_reflo_costing_package.py | 36 ------------------- 1 file changed, 36 deletions(-) diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index 3cf2d619..eeed0b44 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -364,8 +364,6 @@ def add_LCOW(self, *args, **kwargs): raise ValueError("Can't add LCOW to EnergyCosting package.") -# TODO: Add heat terms only when heat flow type exists -# Define frac elec flow only when electricity is generated? @declare_process_block_class("REFLOSystemCosting") class REFLOSystemCostingData(WaterTAPCostingBlockData): @@ -649,40 +647,6 @@ def build_integrated_costs(self): ) ) - # positive is for cost and negative for revenue - self.total_electric_operating_cost_constraint = pyo.Constraint( - expr=self.total_electric_operating_cost - == ( - pyo.units.convert( - self.aggregate_flow_electricity_purchased, - to_units=pyo.units.kWh / pyo.units.year, - ) - * self.electricity_cost_buy - - pyo.units.convert( - self.aggregate_flow_electricity_sold, - to_units=pyo.units.kWh / pyo.units.year, - ) - * self.electricity_cost_sell - ) - ) - - # positive is for cost and negative for revenue - self.total_heat_operating_cost_constraint = pyo.Constraint( - expr=self.total_heat_operating_cost - == ( - pyo.units.convert( - self.aggregate_flow_heat_purchased, - to_units=pyo.units.kWh / pyo.units.year, - ) - * self.heat_cost_buy - - pyo.units.convert( - self.aggregate_flow_heat_sold, - to_units=pyo.units.kWh / pyo.units.year, - ) - * self.heat_cost_sell - ) - ) - # positive is for consumption self.aggregate_flow_electricity_constraint = pyo.Constraint( expr=self.aggregate_flow_electricity From 435990b7a6009931a66be3ec6c7aacb66566445d Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 22 Nov 2024 08:35:43 -0700 Subject: [PATCH 030/116] updates to run sweeps for hours storage and set electricity price --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 86 ++++++++++++------- .../case_studies/KBHDP/RPT3_sweeps.py | 30 ------- .../case_studies/KBHDP/components/FPC.py | 85 +++++++++++++++--- .../case_studies/KBHDP/components/MD.py | 24 +++--- 4 files changed, 137 insertions(+), 88 deletions(-) delete mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/RPT3_sweeps.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index fe6b1ddd..1e13b914 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -172,13 +172,15 @@ def add_costing(m, treatment_costing_block, energy_costing_block): add_DWI_costing(m.fs.treatment, m.fs.treatment.dwi, treatment_costing_block) -def calc_costing(m): +def calc_costing(m,heat_price=0.01, electricity_price = 0.07): # Touching variables to solve for volumetric flow rate m.fs.product.properties[0].flow_vol_phase # Treatment costing # m.fs.treatment.costing.capital_recovery_factor.fix(0.08764) # m.fs.treatment.costing.wacc.unfix() + m.fs.treatment.costing.heat_cost.fix(heat_price) + m.fs.treatment.costing.electricity_cost.fix(electricity_price) m.fs.treatment.costing.cost_process() m.fs.treatment.costing.initialize() @@ -189,23 +191,27 @@ def calc_costing(m): m.fs.treatment.costing.add_LCOW(m.fs.product.properties[0].flow_vol) # Energy costing + m.fs.energy.costing.electricity_cost.fix(electricity_price) m.fs.energy.costing.cost_process() m.fs.energy.costing.initialize() m.fs.energy.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) - m.fs.energy.costing.add_LCOW(m.fs.product.properties[0].flow_vol) + m.fs.energy.costing.add_LCOH() -def add_system_costing(m, heat_price=0.01, frac_heat_from_grid=0.01): +def add_system_costing(m, heat_price=0.01, electricity_price = 0.07, frac_heat_from_grid=0.01): # System costing m.fs.sys_costing = REFLOSystemCosting() m.fs.sys_costing.frac_heat_from_grid.fix(frac_heat_from_grid) m.fs.sys_costing.heat_cost_buy.set_value(heat_price) + m.fs.sys_costing.electricity_cost_buy.set_value(electricity_price) m.fs.sys_costing.cost_process() + print("\n--------- INITIALIZING SYSTEM COSTING ---------\n") m.fs.sys_costing.initialize() m.fs.sys_costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) - m.fs.sys_costing.add_LCOW(m.fs.product.properties[0].flow_vol) + m.fs.sys_costing.add_LCOT(m.fs.product.properties[0].flow_vol) + m.fs.sys_costing.add_LCOH() def set_inlet_conditions(blk, model_options): @@ -229,10 +235,10 @@ def set_inlet_conditions(blk, model_options): ) -def set_operating_conditions(m): +def set_operating_conditions(m,hours_storage=8): set_md_op_conditions(m.fs.treatment.md) - set_fpc_op_conditions(m.fs.energy.fpc, hours_storage=8, temperature_hot=80) + set_fpc_op_conditions(m.fs.energy.fpc, hours_storage=hours_storage, temperature_hot=80) def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None): @@ -287,7 +293,7 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): def optimize(m): m.fs.sys_costing.frac_heat_from_grid.unfix() - m.fs.obj = Objective(expr=m.fs.sys_costing.LCOW) + m.fs.obj = Objective(expr=(m.fs.sys_costing.LCOT)) def report_sys_costing(blk): @@ -295,7 +301,7 @@ def report_sys_costing(blk): print(f"\n\n-------------------- System Costing Report --------------------\n") print("\n") - print(f'{"LCOW":<30s}{value(blk.LCOW):<20,.2f}{pyunits.get_units(blk.LCOW)}') + print(f'{"LCOT":<30s}{value(blk.LCOT):<20,.2f}{pyunits.get_units(blk.LCOT)}') print( f'{"Capital Cost":<30s}{value(blk.total_capital_cost):<20,.2f}{pyunits.get_units(blk.total_capital_cost)}' @@ -362,7 +368,7 @@ def set_inlet_stream_conditions(Qinput=4, feed_salinity_input=12, water_recovery return inlet_cond -def main(water_recovery=0.5, heat_price=0.07, frac_heat_from_grid=0.01): +def main(water_recovery=0.5, heat_price=0.07, electricity_price = 0.07,frac_heat_from_grid=0.01,hours_storage = 8): solver = get_solver() solver = SolverFactory("ipopt") @@ -381,7 +387,7 @@ def main(water_recovery=0.5, heat_price=0.07, frac_heat_from_grid=0.01): init_system(m, m.fs, model_options, n_time_points) - set_operating_conditions(m) + set_operating_conditions(m,hours_storage) print(f"\nBefore Costing System Degrees of Freedom: {degrees_of_freedom(m)}") @@ -393,8 +399,8 @@ def main(water_recovery=0.5, heat_price=0.07, frac_heat_from_grid=0.01): energy_costing_block=m.fs.energy.costing, ) - calc_costing(m) - add_system_costing(m, heat_price, frac_heat_from_grid) + calc_costing(m,heat_price, electricity_price) + add_system_costing(m, heat_price,electricity_price, frac_heat_from_grid) # add_energy_constraints(m) @@ -407,6 +413,8 @@ def main(water_recovery=0.5, heat_price=0.07, frac_heat_from_grid=0.01): print(f"\nAfter Solve System Degrees of Freedom: {degrees_of_freedom(m)}") + print_results_summary(m) + optimize(m) solve(m, solver=solver, tee=False) @@ -424,12 +432,12 @@ def print_results_summary(m): print("\n") print( - f'{"Energy LCOW":<30s}{value(m.fs.energy.costing.LCOW):<10.2f}{pyunits.get_units(m.fs.energy.costing.LCOW)}' + f'{"Energy LCOH":<30s}{value(m.fs.energy.costing.LCOH):<10.2f}{pyunits.get_units(m.fs.energy.costing.LCOH)}' ) print("\n") print( - f'{"System LCOW":<30s}{value(m.fs.sys_costing.LCOW):<10.2f}{pyunits.get_units(m.fs.sys_costing.LCOW)}' + f'{"System LCOT":<30s}{value(m.fs.sys_costing.LCOT) :<10.2f}{pyunits.get_units(m.fs.sys_costing.LCOT)}' ) print("\n") @@ -447,12 +455,14 @@ def print_results_summary(m): report_sys_costing(m.fs.sys_costing) -def save_results(m, sweep_type=None): +def save_results(m): results_df = pd.DataFrame( columns=[ "water_recovery", "heat_price", + "LCOH", + "hours_storage", "frac_heat_from_grid", "product_annual_production", "utilization_factor", @@ -479,8 +489,8 @@ def save_results(m, sweep_type=None): } fixed_opex_output = { - "FPC": value(m.fs.energy.fpc.unit.costing.fixed_operating_cost) - + value(m.fs.energy.fpc.unit.costing.capital_cost) + "FPC": value(m.fs.energy.fpc.unit.costing.fixed_operating_cost)\ + + value(m.fs.energy.fpc.unit.costing.capital_cost)\ * value(m.fs.energy.costing.maintenance_labor_chemical_factor), "MD": value( m.fs.treatment.md.unit.get_active_process_blocks()[ @@ -507,9 +517,11 @@ def save_results(m, sweep_type=None): for unit in ["FPC", "MD", "DWI", "Heat", "Electricity"]: # Add fixed_opex - temp = plot_results = { + temp = { "water_recovery": value(m.fs.water_recovery), "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "LCOH": value(m.fs.energy.costing.LCOH), + "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), "product_annual_production": value( m.fs.sys_costing.annual_water_production @@ -522,9 +534,11 @@ def save_results(m, sweep_type=None): } results_df = results_df.append(temp, ignore_index=True) # Add variable opex - temp = plot_results = { + temp = { "water_recovery": value(m.fs.water_recovery), "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "LCOH": value(m.fs.energy.costing.LCOH), + "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), "product_annual_production": value( m.fs.sys_costing.annual_water_production @@ -538,9 +552,11 @@ def save_results(m, sweep_type=None): results_df = results_df.append(temp, ignore_index=True) # Add opex - temp = plot_results = { + temp = { "water_recovery": value(m.fs.water_recovery), "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "LCOH": value(m.fs.energy.costing.LCOH), + "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), "product_annual_production": value( m.fs.sys_costing.annual_water_production @@ -554,9 +570,11 @@ def save_results(m, sweep_type=None): results_df = results_df.append(temp, ignore_index=True) # Add capex - temp = plot_results = { + temp = { "water_recovery": value(m.fs.water_recovery), "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "LCOH": value(m.fs.energy.costing.LCOH), + "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), "product_annual_production": value( m.fs.sys_costing.annual_water_production @@ -580,18 +598,11 @@ def save_results(m, sweep_type=None): + str(value(m.fs.water_recovery)) + "_heat_price_" + str(value(m.fs.sys_costing.heat_cost_buy)) + + "_hours_storage_" + + str(value(m.fs.energy.fpc.unit.hours_storage)) ) - if sweep_type != None: - results_df.to_csv( - r"C:\Users\mhardika\Documents\SETO\Case Studies\RPT3\RPT3_results\\" - + sweep_type - + "\\" - + file_name - + ".csv" - ) - else: - results_df.to_csv( + results_df.to_csv( r"C:\Users\mhardika\Documents\SETO\Case Studies\RPT3\RPT3_results\\" + file_name + ".csv" @@ -601,7 +612,16 @@ def save_results(m, sweep_type=None): if __name__ == "__main__": - m = main(water_recovery=0.8, heat_price=0.08, frac_heat_from_grid=0.01) + m = main(water_recovery=0.5, + heat_price=0.08, + electricity_price = 0.07, + frac_heat_from_grid=0.05, + hours_storage = 6) - save_results(m) + # save_results(m) print_results_summary(m) + + # print(m.fs.sys_costing.treat_operating_cost_no_energy()) + # print(m.fs.sys_costing.energy_operating_cost_no_energy()) + # print(m.fs.sys_costing.total_heat_operating_cost()) + # print(m.fs.sys_costing.total_electric_operating_cost()) \ No newline at end of file diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/RPT3_sweeps.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/RPT3_sweeps.py deleted file mode 100644 index 83da2b82..00000000 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/RPT3_sweeps.py +++ /dev/null @@ -1,30 +0,0 @@ -from idaes.core.solvers import get_solver -from pyomo.environ import SolverFactory -from watertap_contrib.reflo.analysis.case_studies.KBHDP.KBHDP_RPT_3 import ( - main, - save_results, -) - - -def sweep(sweep_type, water_recovery=0.5, heat_price=0.07, frac_heat_from_grid=0.01): - m = main( - water_recovery=water_recovery, - heat_price=heat_price, - frac_heat_from_grid=frac_heat_from_grid, - ) - save_results(m, sweep_type=sweep_type) - - -if __name__ == "__main__": - water_recovery_sweep = [0.2, 0.3, 0.4, 0.5, 0.6, 0.7] - heat_price_sweep = [0.07, 0.075, 0.08, 0.085, 0.09, 0.095, 0.1] - for recovery in water_recovery_sweep: - sweep( - "water_recovery_1", - water_recovery=recovery, - heat_price=0.08, - frac_heat_from_grid=0.01, - ) - - # for heat_price in heat_price_sweep: - # sweep('heat_price_1',water_recovery=0.5,heat_price = heat_price,frac_heat_from_grid=0.01) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 9984f65d..6be7bd5c 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -6,6 +6,7 @@ Block, Constraint, SolverFactory, + check_optimal_termination, ) import os @@ -18,6 +19,7 @@ from watertap_contrib.reflo.solar_models.surrogate.flat_plate.flat_plate_surrogate import ( FlatPlateSurrogate, ) +from idaes.core.util.model_statistics import * from idaes.core.util.model_statistics import ( degrees_of_freedom, @@ -30,6 +32,8 @@ EnergyCosting, ) +import idaes.core.util.scaling as iscale + __all__ = [ "build_fpc", "init_fpc", @@ -102,6 +106,10 @@ def init_fpc(blk): def set_system_op_conditions(m): m.fs.system_capacity.fix() +def add_fpc_scaling(m,blk): + iscale.set_scaling_factor(blk.unit.hours_storage, 10) + iscale.set_scaling_factor(blk.unit.electricity, 100) + iscale.set_scaling_factor(blk.unit.heat_load, 1e4) def set_fpc_op_conditions(blk, hours_storage=6, temperature_hot=80): @@ -118,12 +126,49 @@ def add_fpc_costing(blk, costing_block): def calc_costing(m, blk): blk.costing.heat_cost.set_value(0) + blk.costing.electricity_cost.fix(0.07) blk.costing.cost_process() blk.costing.initialize() # TODO: Connect to the treatment volume - blk.costing.add_LCOW(m.fs.system_capacity) + blk.costing.add_LCOH() + + +def solve(m, solver=None, tee=False, raise_on_failure=True, debug=False): + # ---solving--- + if solver is None: + solver = get_solver() + solver.options["max_iter"] = 2000 + print("\n--------- SOLVING ---------\n") + + results = solver.solve(m, tee=tee) + + if check_optimal_termination(results): + print("\n--------- OPTIMAL SOLVE!!! ---------\n") + if debug: + print("\n--------- CHECKING JACOBIAN ---------\n") + # check_jac(m) + + print("\n--------- CLOSE TO BOUNDS ---------\n") + print_close_to_bounds(m) + return results + msg = ( + "The current configuration is infeasible. Please adjust the decision variables." + ) + if raise_on_failure: + print('\n{"=======> INFEASIBLE BOUNDS <=======":^60}\n') + print_infeasible_bounds(m) + print('\n{"=======> INFEASIBLE CONSTRAINTS <=======":^60}\n') + print_infeasible_constraints(m) + print('\n{"=======> CLOSE TO BOUNDS <=======":^60}\n') + print_close_to_bounds(m) + + raise RuntimeError(msg) + else: + print("\n--------- FAILED SOLVE!!! ---------\n") + print(msg) + assert False def report_fpc(m, blk): # blk = m.fs.fpc @@ -142,6 +187,10 @@ def report_fpc(m, blk): f'{"Storage volume":<30s}{value(blk.storage_volume):<20,.2f}{pyunits.get_units(blk.storage_volume)}' ) + print( + f'{"Hours of storage":<30s}{value(blk.hours_storage):<20,.2f}{pyunits.get_units(blk.hours_storage)}' + ) + print( f'{"Heat load":<30s}{value(blk.heat_load):<20,.2f}{pyunits.get_units(blk.heat_load)}' ) @@ -166,7 +215,7 @@ def report_fpc_costing(m, blk): print("\n") print( - f'{"LCOW":<30s}{value(blk.costing.LCOW):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + f'{"LCOH":<30s}{value(blk.costing.LCOH):<20,.2f}{pyunits.get_units(blk.costing.LCOH)}' ) print( @@ -174,12 +223,12 @@ def report_fpc_costing(m, blk): ) print( - f'{"Fixed Operating Cost":<30s}{value(blk.costing.total_fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_fixed_operating_cost)}' + f'{"Fixed Operating Cost":<30s}{value(blk.fpc.unit.costing.fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_fixed_operating_cost)}' ) - print( - f'{"Variable Operating Cost":<30s}{value(blk.costing.total_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_variable_operating_cost)}' - ) + # print( + # f'{"Variable Operating Cost":<30s}{value(blk.costing.variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_variable_operating_cost)}' + # ) print( f'{"Total Operating Cost":<30s}{value(blk.costing.total_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_operating_cost)}' @@ -205,8 +254,7 @@ def report_fpc_costing(m, blk): # f'{"Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' # ) - -if __name__ == "__main__": +def main(): solver = get_solver() solver = SolverFactory("ipopt") @@ -215,17 +263,28 @@ def report_fpc_costing(m, blk): build_fpc(m.fs.fpc) init_fpc(m.fs.fpc) - set_fpc_op_conditions(m.fs.fpc) - + set_fpc_op_conditions(m.fs.fpc, hours_storage=6) + add_fpc_scaling(m, m.fs.fpc) print("Degrees of Freedom:", degrees_of_freedom(m)) add_fpc_costing(m.fs.fpc, costing_block=m.fs.costing) calc_costing(m, m.fs) - m.fs.costing.aggregate_flow_heat.fix(-4000) - results = solver.solve(m) + m.fs.costing.aggregate_flow_heat.fix(-7842) + print("\nDegrees of Freedom after fixing aggregate heat flow:", degrees_of_freedom(m)) + # results = solver.solve(m) + solve(m, solver=solver, tee=False) + return m + +if __name__ == "__main__": + + + m = main() + print(degrees_of_freedom(m)) report_fpc(m, m.fs.fpc.unit) report_fpc_costing(m, m.fs) + + # m.fs.fpc.unit.costing.display() + - # m.fs.costing.used_flows.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index d5cb3299..e9170593 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -670,21 +670,21 @@ def report_md_costing(m, blk): f'{"Membrane Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.module_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.module_cost)}' ) - print( - f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' - ) + # print( + # f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + # ) - print( - f'{"Aggregated Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' - ) + # print( + # f'{"Aggregated Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' + # ) - print( - f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' - ) + # print( + # f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' + # ) - print( - f'{"Aggregated Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' - ) + # print( + # f'{"Aggregated Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' + # ) if __name__ == "__main__": From fef6e970dcdeee972a7cda3948ede14d63c356f2 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 22 Nov 2024 17:26:26 -0700 Subject: [PATCH 031/116] added kbhdp yaml, more stable initialization, corrected print statements --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 79 +++++++++++-------- .../case_studies/KBHDP/components/FPC.py | 22 ++++-- .../case_studies/KBHDP/components/MD.py | 2 +- .../data/technoeconomic/kbhdp_case_study.yaml | 54 +++++++++++++ 4 files changed, 117 insertions(+), 40 deletions(-) create mode 100644 src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 1e13b914..5691182f 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -49,6 +49,11 @@ from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.deep_well_injection import * import pandas as pd +import pathlib + +reflo_dir = pathlib.Path(__file__).resolve().parents[3] +case_study_yaml = f"{reflo_dir}/data/technoeconomic/kbhdp_case_study.yaml" + def propagate_state(arc): _prop_state(arc) @@ -61,7 +66,7 @@ def build_system(inlet_cond, n_time_points): m.fs.treatment = Block() m.fs.energy = Block() - m.fs.treatment.costing = TreatmentCosting() + m.fs.treatment.costing = TreatmentCosting(case_study_definition=case_study_yaml) m.fs.energy.costing = EnergyCosting() # Property package @@ -172,13 +177,12 @@ def add_costing(m, treatment_costing_block, energy_costing_block): add_DWI_costing(m.fs.treatment, m.fs.treatment.dwi, treatment_costing_block) -def calc_costing(m,heat_price=0.01, electricity_price = 0.07): +def calc_costing(m, heat_price=0.01, electricity_price=0.07): # Touching variables to solve for volumetric flow rate m.fs.product.properties[0].flow_vol_phase # Treatment costing - # m.fs.treatment.costing.capital_recovery_factor.fix(0.08764) - # m.fs.treatment.costing.wacc.unfix() + # Overwriting values in yaml m.fs.treatment.costing.heat_cost.fix(heat_price) m.fs.treatment.costing.electricity_cost.fix(electricity_price) m.fs.treatment.costing.cost_process() @@ -199,7 +203,9 @@ def calc_costing(m,heat_price=0.01, electricity_price = 0.07): m.fs.energy.costing.add_LCOH() -def add_system_costing(m, heat_price=0.01, electricity_price = 0.07, frac_heat_from_grid=0.01): +def add_system_costing( + m, heat_price=0.01, electricity_price=0.07, frac_heat_from_grid=0.01 +): # System costing m.fs.sys_costing = REFLOSystemCosting() m.fs.sys_costing.frac_heat_from_grid.fix(frac_heat_from_grid) @@ -207,6 +213,9 @@ def add_system_costing(m, heat_price=0.01, electricity_price = 0.07, frac_heat_f m.fs.sys_costing.electricity_cost_buy.set_value(electricity_price) m.fs.sys_costing.cost_process() + # Unfix heat_load in FPC + m.fs.energy.fpc.unit.heat_load.unfix() + print("\n--------- INITIALIZING SYSTEM COSTING ---------\n") m.fs.sys_costing.initialize() m.fs.sys_costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) @@ -235,10 +244,12 @@ def set_inlet_conditions(blk, model_options): ) -def set_operating_conditions(m,hours_storage=8): +def set_operating_conditions(m, hours_storage=8): set_md_op_conditions(m.fs.treatment.md) - set_fpc_op_conditions(m.fs.energy.fpc, hours_storage=hours_storage, temperature_hot=80) + set_fpc_op_conditions( + m.fs.energy.fpc, hours_storage=hours_storage, temperature_hot=80 + ) def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None): @@ -368,7 +379,14 @@ def set_inlet_stream_conditions(Qinput=4, feed_salinity_input=12, water_recovery return inlet_cond -def main(water_recovery=0.5, heat_price=0.07, electricity_price = 0.07,frac_heat_from_grid=0.01,hours_storage = 8): +def main( + water_recovery=0.5, + heat_price=0.07, + electricity_price=0.07, + frac_heat_from_grid=0.01, + hours_storage=8, + run_optimization=True, +): solver = get_solver() solver = SolverFactory("ipopt") @@ -387,7 +405,7 @@ def main(water_recovery=0.5, heat_price=0.07, electricity_price = 0.07,frac_heat init_system(m, m.fs, model_options, n_time_points) - set_operating_conditions(m,hours_storage) + set_operating_conditions(m, hours_storage) print(f"\nBefore Costing System Degrees of Freedom: {degrees_of_freedom(m)}") @@ -399,8 +417,8 @@ def main(water_recovery=0.5, heat_price=0.07, electricity_price = 0.07,frac_heat energy_costing_block=m.fs.energy.costing, ) - calc_costing(m,heat_price, electricity_price) - add_system_costing(m, heat_price,electricity_price, frac_heat_from_grid) + calc_costing(m, heat_price, electricity_price) + add_system_costing(m, heat_price, electricity_price, frac_heat_from_grid) # add_energy_constraints(m) @@ -415,8 +433,9 @@ def main(water_recovery=0.5, heat_price=0.07, electricity_price = 0.07,frac_heat print_results_summary(m) - optimize(m) - solve(m, solver=solver, tee=False) + if run_optimization: + optimize(m) + solve(m, solver=solver, tee=False) return m @@ -489,8 +508,8 @@ def save_results(m): } fixed_opex_output = { - "FPC": value(m.fs.energy.fpc.unit.costing.fixed_operating_cost)\ - + value(m.fs.energy.fpc.unit.costing.capital_cost)\ + "FPC": value(m.fs.energy.fpc.unit.costing.fixed_operating_cost) + + value(m.fs.energy.fpc.unit.costing.capital_cost) * value(m.fs.energy.costing.maintenance_labor_chemical_factor), "MD": value( m.fs.treatment.md.unit.get_active_process_blocks()[ @@ -574,7 +593,7 @@ def save_results(m): "water_recovery": value(m.fs.water_recovery), "heat_price": value(m.fs.sys_costing.heat_cost_buy), "LCOH": value(m.fs.energy.costing.LCOH), - "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), + "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), "product_annual_production": value( m.fs.sys_costing.annual_water_production @@ -603,25 +622,23 @@ def save_results(m): ) results_df.to_csv( - r"C:\Users\mhardika\Documents\SETO\Case Studies\RPT3\RPT3_results\\" - + file_name - + ".csv" - ) - # Flow cost + r"C:\Users\mhardika\Documents\SETO\Case Studies\RPT3\RPT3_results\\" + + file_name + + ".csv" + ) + # Flow cost if __name__ == "__main__": - m = main(water_recovery=0.5, - heat_price=0.08, - electricity_price = 0.07, - frac_heat_from_grid=0.05, - hours_storage = 6) + m = main( + water_recovery=0.8, + heat_price=0.08, + electricity_price=0.07, + frac_heat_from_grid=0.2, + hours_storage=6, + run_optimization=False, + ) # save_results(m) print_results_summary(m) - - # print(m.fs.sys_costing.treat_operating_cost_no_energy()) - # print(m.fs.sys_costing.energy_operating_cost_no_energy()) - # print(m.fs.sys_costing.total_heat_operating_cost()) - # print(m.fs.sys_costing.total_electric_operating_cost()) \ No newline at end of file diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 6be7bd5c..698bf081 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -106,11 +106,13 @@ def init_fpc(blk): def set_system_op_conditions(m): m.fs.system_capacity.fix() -def add_fpc_scaling(m,blk): + +def add_fpc_scaling(m, blk): iscale.set_scaling_factor(blk.unit.hours_storage, 10) iscale.set_scaling_factor(blk.unit.electricity, 100) iscale.set_scaling_factor(blk.unit.heat_load, 1e4) + def set_fpc_op_conditions(blk, hours_storage=6, temperature_hot=80): blk.unit.hours_storage.fix(hours_storage) @@ -118,6 +120,7 @@ def set_fpc_op_conditions(blk, hours_storage=6, temperature_hot=80): blk.unit.temperature_hot.fix(temperature_hot) # Assumes the cold temperature from the outlet temperature of a 'MD HX' blk.unit.temperature_cold.set_value(20) + blk.unit.heat_load.fix(10) def add_fpc_costing(blk, costing_block): @@ -170,6 +173,7 @@ def solve(m, solver=None, tee=False, raise_on_failure=True, debug=False): print(msg) assert False + def report_fpc(m, blk): # blk = m.fs.fpc print(f"\n\n-------------------- FPC Report --------------------\n") @@ -254,6 +258,7 @@ def report_fpc_costing(m, blk): # f'{"Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' # ) + def main(): solver = get_solver() @@ -269,22 +274,23 @@ def main(): add_fpc_costing(m.fs.fpc, costing_block=m.fs.costing) calc_costing(m, m.fs) - m.fs.costing.aggregate_flow_heat.fix(-7842) + m.fs.fpc.unit.heat_load.unfix() + m.fs.costing.aggregate_flow_heat.fix(-20067.44) - print("\nDegrees of Freedom after fixing aggregate heat flow:", degrees_of_freedom(m)) + print( + "\nDegrees of Freedom after fixing aggregate heat flow:", degrees_of_freedom(m) + ) # results = solver.solve(m) solve(m, solver=solver, tee=False) return m + if __name__ == "__main__": - m = main() - + print(degrees_of_freedom(m)) report_fpc(m, m.fs.fpc.unit) report_fpc_costing(m, m.fs) - - # m.fs.fpc.unit.costing.display() - + # m.fs.fpc.unit.costing.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index e9170593..e8c39212 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -671,7 +671,7 @@ def report_md_costing(m, blk): ) # print( - # f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + # f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' # ) # print( diff --git a/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml b/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml new file mode 100644 index 00000000..52134624 --- /dev/null +++ b/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml @@ -0,0 +1,54 @@ +base_currency: USD_2021 +base_period: year +defined_flows: + electricity: + value: 0.0595 + units: USD_2019/kWh + heat: + value: 0.0000061 + units: USD_2020/kJ +# hydrogen_peroxide: +# value: 1.53 +# units: USD_2020/kg +# purity: 1 + +# global_parameters: +# plant_lifetime: +# value: 30 +# units: year +# utilization_factor: +# value: 1 +# units: dimensionless +# land_cost_percent_FCI: +# value: 0.0015 +# units: dimensionless +# working_capital_percent_FCI: +# value: 0.05 +# units: dimensionless +# salaries_percent_FCI: +# value: 0.001 +# units: 1/year +# benefit_percent_of_salary: +# value: 0.9 +# units: dimensionless +# maintenance_costs_percent_FCI: +# value: 0.008 +# units: 1/year +# laboratory_fees_percent_FCI: +# value: 0.003 +# units: 1/year +# insurance_and_taxes_percent_FCI: +# value: 0.002 +# units: 1/year +# wacc: +# # Weighted Average Cost of Capital (WACC) +# value: 0.05 +# units: dimensionless +# TPEC: +# # Total Purchased Equipment Cost +# value: 3.4 +# units: dimensionless +# TIC: +# # Total Installed Cost +# value: 1.65 +# units: dimensionless \ No newline at end of file From 67ce1d35ceb6d3a2769a71922f6d775c3de2c141 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Wed, 27 Nov 2024 17:13:49 -0700 Subject: [PATCH 032/116] clean up and black --- .../analysis/case_studies/KBHDP/KBHDP_RPT_3.py | 13 +------------ .../analysis/case_studies/KBHDP/components/FPC.py | 14 ++++++++------ 2 files changed, 9 insertions(+), 18 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 5691182f..263d6c4b 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -157,17 +157,6 @@ def add_constraints(m): # m.fs.disposal.properties[0].conc_mass_phase_comp -# TODO: Add fraction of heat as solar -def add_energy_constraints(m): - - @m.Constraint() - def eq_thermal_req(b): - return ( - b.fs.energy.costing.aggregate_flow_heat - == -1 * b.fs.treatment.costing.aggregate_flow_heat * 0.5 - ) - - def add_costing(m, treatment_costing_block, energy_costing_block): # Solving the system before adding costing solver = SolverFactory("ipopt") @@ -635,7 +624,7 @@ def save_results(m): water_recovery=0.8, heat_price=0.08, electricity_price=0.07, - frac_heat_from_grid=0.2, + frac_heat_from_grid=0.5, hours_storage=6, run_optimization=False, ) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 698bf081..3ce3a194 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -37,6 +37,7 @@ __all__ = [ "build_fpc", "init_fpc", + "add_fpc_scaling", "set_fpc_op_conditions", "add_fpc_costing", "report_fpc", @@ -108,9 +109,10 @@ def set_system_op_conditions(m): def add_fpc_scaling(m, blk): - iscale.set_scaling_factor(blk.unit.hours_storage, 10) - iscale.set_scaling_factor(blk.unit.electricity, 100) - iscale.set_scaling_factor(blk.unit.heat_load, 1e4) + iscale.set_scaling_factor(blk.unit.hours_storage, 1) + iscale.set_scaling_factor(blk.unit.electricity, 1e3) + iscale.set_scaling_factor(blk.unit.heat_load, 10) + iscale.get_scaling_factor(blk.unit.heat, 1e3) def set_fpc_op_conditions(blk, hours_storage=6, temperature_hot=80): @@ -120,7 +122,7 @@ def set_fpc_op_conditions(blk, hours_storage=6, temperature_hot=80): blk.unit.temperature_hot.fix(temperature_hot) # Assumes the cold temperature from the outlet temperature of a 'MD HX' blk.unit.temperature_cold.set_value(20) - blk.unit.heat_load.fix(10) + # blk.unit.heat_load.fix(10) def add_fpc_costing(blk, costing_block): @@ -128,7 +130,7 @@ def add_fpc_costing(blk, costing_block): def calc_costing(m, blk): - blk.costing.heat_cost.set_value(0) + blk.costing.heat_cost.fix(0) blk.costing.electricity_cost.fix(0.07) blk.costing.cost_process() blk.costing.initialize() @@ -275,7 +277,7 @@ def main(): add_fpc_costing(m.fs.fpc, costing_block=m.fs.costing) calc_costing(m, m.fs) m.fs.fpc.unit.heat_load.unfix() - m.fs.costing.aggregate_flow_heat.fix(-20067.44) + m.fs.costing.aggregate_flow_heat.fix(-5000) print( "\nDegrees of Freedom after fixing aggregate heat flow:", degrees_of_freedom(m) From 3b5023c534822cc89145f61a1b51aa9abf67ae16 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Wed, 27 Nov 2024 22:48:47 -0700 Subject: [PATCH 033/116] corrected feed stream --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 68 +++----------- .../case_studies/KBHDP/components/FPC.py | 2 +- .../case_studies/KBHDP/components/MD.py | 90 +++++++++---------- 3 files changed, 57 insertions(+), 103 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 263d6c4b..453aa5f8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -77,9 +77,6 @@ def build_system(inlet_cond, n_time_points): m.fs.product = Product(property_package=m.fs.params) # m.fs.disposal = Product(property_package=m.fs.params) - add_constraints(m) - m.fs.water_recovery.fix(inlet_cond["water_recovery"]) - # Create MD unit model at flowsheet level m.fs.treatment.md = FlowsheetBlock(dynamic=False) @@ -98,9 +95,9 @@ def build_system(inlet_cond, n_time_points): def add_connections(m): - m.fs.feed_to_md = Arc( - source=m.fs.feed.outlet, destination=m.fs.treatment.md.feed.inlet - ) + # m.fs.feed_to_md = Arc( + # source=m.fs.feed.outlet, destination=m.fs.treatment.md.feed.inlet + # ) m.fs.md_to_product = Arc( source=m.fs.treatment.md.permeate.outlet, destination=m.fs.product.inlet @@ -114,49 +111,6 @@ def add_connections(m): TransformationFactory("network.expand_arcs").apply_to(m) -def add_constraints(m): - m.fs.water_recovery = Var( - initialize=0.3, - bounds=(0, 0.99), - domain=NonNegativeReals, - units=pyunits.dimensionless, - doc="System Water Recovery", - ) - - # m.fs.feed_flow_mass = Var( - # initialize=1, - # bounds=(0.00001, 1e6), - # domain=NonNegativeReals, - # units=pyunits.kg / pyunits.s, - # doc="System Feed Flowrate", - # ) - - # m.fs.feed_flow_vol = Var( - # initialize=1, - # bounds=(0.00001, 1e6), - # domain=NonNegativeReals, - # units=pyunits.L / pyunits.s, - # doc="System Feed Flowrate", - # ) - - # m.fs.perm_flow_mass = Var( - # initialize=1, - # bounds=(0.00001, 1e6), - # domain=NonNegativeReals, - # units=pyunits.kg / pyunits.s, - # doc="System Produce Flowrate", - # ) - - # m.fs.eq_water_recovery = Constraint( - # expr=m.fs.feed.properties[0].flow_vol * m.fs.water_recovery - # == m.fs.product.properties[0].flow_vol - # ) - - # m.fs.feed.properties[0].conc_mass_phase_comp - # m.fs.product.properties[0].conc_mass_phase_comp - # m.fs.disposal.properties[0].conc_mass_phase_comp - - def add_costing(m, treatment_costing_block, energy_costing_block): # Solving the system before adding costing solver = SolverFactory("ipopt") @@ -212,8 +166,8 @@ def add_system_costing( m.fs.sys_costing.add_LCOH() -def set_inlet_conditions(blk, model_options): - +def set_inlet_conditions(blk, inlet_cond, model_options): + # This feed variable is basically used to set print(f'\n{"=======> SETTING FEED CONDITIONS <=======":^60}\n') feed_flow_rate = model_options["feed_flow_rate"] feed_salinity = model_options["feed_salinity"] @@ -233,9 +187,9 @@ def set_inlet_conditions(blk, model_options): ) -def set_operating_conditions(m, hours_storage=8): +def set_operating_conditions(m,model_options, hours_storage=8): - set_md_op_conditions(m.fs.treatment.md) + set_md_op_conditions(m.fs.treatment.md, model_options) set_fpc_op_conditions( m.fs.energy.fpc, hours_storage=hours_storage, temperature_hot=80 ) @@ -251,7 +205,7 @@ def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None) print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") m.fs.feed.initialize() - propagate_state(m.fs.feed_to_md) + # propagate_state(m.fs.feed_to_md) init_md(blk.treatment.md, model_options, n_time_points) @@ -362,7 +316,7 @@ def set_inlet_stream_conditions(Qinput=4, feed_salinity_input=12, water_recovery inlet_cond = { "inlet_flow_rate": Qin, "inlet_salinity": feed_salinity, - "water_recovery": water_recovery, + "recovery": water_recovery, } return inlet_cond @@ -390,11 +344,11 @@ def main( inlet_cond, n_time_points=n_time_points ) - set_inlet_conditions(m.fs, model_options) + set_inlet_conditions(m.fs, inlet_cond,model_options) init_system(m, m.fs, model_options, n_time_points) - set_operating_conditions(m, hours_storage) + set_operating_conditions(m, model_options,hours_storage) print(f"\nBefore Costing System Degrees of Freedom: {degrees_of_freedom(m)}") diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 3ce3a194..ad52067b 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -122,7 +122,7 @@ def set_fpc_op_conditions(blk, hours_storage=6, temperature_hot=80): blk.unit.temperature_hot.fix(temperature_hot) # Assumes the cold temperature from the outlet temperature of a 'MD HX' blk.unit.temperature_cold.set_value(20) - # blk.unit.heat_load.fix(10) + blk.unit.heat_load.fix(10) def add_fpc_costing(blk, costing_block): diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index e8c39212..b1db7974 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -110,7 +110,7 @@ def build_system(inlet_cond, n_time_points=None): def add_connections(m): - m.fs.feed_to_md = Arc(source=m.fs.feed.outlet, destination=m.fs.md.feed.inlet) + # m.fs.feed_to_md = Arc(source=m.fs.feed.outlet, destination=m.fs.md.feed.inlet) m.fs.md_to_product = Arc( source=m.fs.md.permeate.outlet, destination=m.fs.product.inlet @@ -125,7 +125,7 @@ def add_connections(m): def set_md_model_options(m, inlet_cond, n_time_points=None): - system_capacity = m.fs.water_recovery * pyunits.convert( + system_capacity = inlet_cond['recovery'] * pyunits.convert( inlet_cond["inlet_flow_rate"], to_units=pyunits.m**3 / pyunits.day ) feed_salinity = pyunits.convert( @@ -171,7 +171,7 @@ def build_md(m, blk, inlet_cond, n_time_points=None) -> None: # Build a feed, permeate and brine state function for MD - blk.feed = StateJunction(property_package=m.fs.params) + # blk.feed = StateJunction(property_package=m.fs.params) blk.permeate = StateJunction(property_package=m.fs.params) blk.concentrate = StateJunction(property_package=m.fs.params) @@ -193,22 +193,22 @@ def build_md(m, blk, inlet_cond, n_time_points=None) -> None: def init_md(blk, model_options, n_time_points, verbose=True, solver=None): # blk = m.fs.md - blk.feed.properties[0]._flow_vol_phase() - blk.feed.properties[0]._conc_mass_phase_comp() + # blk.feed.properties[0]._flow_vol_phase() + # blk.feed.properties[0]._conc_mass_phase_comp() - blk.feed.initialize() + # blk.feed.initialize() - feed_flow_rate = pyunits.convert( - blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h - )() + # feed_flow_rate = pyunits.convert( + # blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h + # )() - feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) + # feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) blk.unit.build_multi_period_model( model_data_kwargs={t: model_options for t in range(n_time_points)}, flowsheet_options=model_options, - unfix_dof_options={"feed_flow_rate": feed_flow_rate}, + unfix_dof_options={"feed_flow_rate": model_options['feed_flow_rate']}, ) add_performance_constraints(blk.unit, model_options) @@ -220,10 +220,10 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): for active in active_blks: fix_dof_and_initialize( m=active, - feed_temp=feed_temp, + feed_temp=model_options['feed_temp'], ) result = solver.solve(active) - unfix_dof(m=active, feed_flow_rate=feed_flow_rate) + unfix_dof(m=active, feed_flow_rate=model_options['feed_flow_rate']) # Build connection to permeate state junction blk.permeate.properties[0]._flow_vol_phase() @@ -308,7 +308,7 @@ def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None) print("\n\n") m.fs.feed.initialize() - propagate_state(m.fs.feed_to_md) + # propagate_state(m.fs.feed_to_md) init_md(blk, model_options, n_time_points, verbose=True, solver=None) @@ -339,30 +339,30 @@ def set_system_op_conditions(blk, model_options): ) -def set_md_op_conditions(blk): +def set_md_op_conditions(blk, model_options): active_blks = blk.unit.get_active_process_blocks() # Set-up for the first time period - feed_flow_rate = pyunits.convert( - blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h - )() + # feed_flow_rate = pyunits.convert( + # blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h + # )() - feed_salinity = blk.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"]() - feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) + # feed_salinity = blk.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"]() + # feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") - print("Feed flow rate in L/h:", feed_flow_rate) - print("Feed salinity in g/l:", feed_salinity) - print("Feed temperature in C:", feed_temp) + print("Feed flow rate in L/h:", model_options['feed_flow_rate']) + print("Feed salinity in g/l:", model_options['feed_salinity']) + print("Feed temperature in C:",model_options["feed_temp"]) print("\n") active_blks[0].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"].fix( - feed_salinity + model_options['feed_salinity'] ) - active_blks[0].fs.vagmd.feed_props[0].temperature.fix(feed_temp + 273.15) + active_blks[0].fs.vagmd.feed_props[0].temperature.fix(model_options["feed_temp"] + 273.15) active_blks[0].fs.acc_distillate_volume.fix(0) - active_blks[0].fs.pre_feed_temperature.fix(feed_temp + 273.15) + active_blks[0].fs.pre_feed_temperature.fix(model_options["feed_temp"] + 273.15) active_blks[0].fs.pre_permeate_flow_rate.fix(0) active_blks[0].fs.acc_thermal_energy.fix(0) active_blks[0].fs.pre_thermal_power.fix(0) @@ -568,9 +568,9 @@ def report_MD(m, blk): f'{"Feed stream salinity":<30s}{value(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' ) - print( - f'{"MD Period 1 Feed salinity":<30s}{value(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' - ) + # print( + # f'{"MD Period 1 Feed salinity":<30s}{value(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + # ) print( f'{"Number of modules:":<30s}{value(active_blks[-1].fs.vagmd.num_modules):<10.2f}' @@ -697,15 +697,15 @@ def report_md_costing(m, blk): feed_salinity = 12 * pyunits.g / pyunits.L - # overall_recovery = 0.9 + overall_recovery = 0.5 inlet_cond = { "inlet_flow_rate": Qin, "inlet_salinity": feed_salinity, - # "recovery": overall_recovery, + "recovery": overall_recovery, } - n_time_points = None + n_time_points = 2#None m, model_options, n_time_points = build_system( inlet_cond, n_time_points=n_time_points ) @@ -714,33 +714,33 @@ def report_md_costing(m, blk): set_system_op_conditions(m.fs, model_options) init_system(m, m.fs.md, model_options, n_time_points) - set_md_op_conditions(m.fs.md) + set_md_op_conditions(m.fs.md,model_options) results = solve(m, solver=solver, tee=False) # results= solver.solve(m) print("\n--------- Solve 1 Completed ---------\n") # m.fs.md.unit.get_active_process_blocks()[0].fs.dt.display() # m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.permeate_flux.display() - m.fs.md.unit.get_active_process_blocks()[0].fs.pre_permeate_flow_rate.display() - m.fs.md.unit.get_active_process_blocks()[0].fs.pre_acc_distillate_volume.display() - m.fs.md.unit.get_active_process_blocks()[0].fs.acc_distillate_volume.display() - m.fs.md.unit.get_active_process_blocks()[0].fs.pre_evap_out_temp.display() + # m.fs.md.unit.get_active_process_blocks()[0].fs.pre_permeate_flow_rate.display() + # m.fs.md.unit.get_active_process_blocks()[0].fs.pre_acc_distillate_volume.display() + # m.fs.md.unit.get_active_process_blocks()[0].fs.acc_distillate_volume.display() + # m.fs.md.unit.get_active_process_blocks()[0].fs.pre_evap_out_temp.display() # m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.thermal_power.display() # m.fs.md.unit.get_active_process_blocks()[0].fs.specific_energy_consumption_thermal.display() # m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.permeate_flux.display() - m.fs.md.unit.get_active_process_blocks()[1].fs.pre_permeate_flow_rate.display() - m.fs.md.unit.get_active_process_blocks()[1].fs.pre_acc_distillate_volume.display() - m.fs.md.unit.get_active_process_blocks()[1].fs.acc_distillate_volume.display() - m.fs.md.unit.get_active_process_blocks()[1].fs.pre_evap_out_temp.display() + # m.fs.md.unit.get_active_process_blocks()[1].fs.pre_permeate_flow_rate.display() + # m.fs.md.unit.get_active_process_blocks()[1].fs.pre_acc_distillate_volume.display() + # m.fs.md.unit.get_active_process_blocks()[1].fs.acc_distillate_volume.display() + # m.fs.md.unit.get_active_process_blocks()[1].fs.pre_evap_out_temp.display() # m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.thermal_power.display() # m.fs.md.unit.get_active_process_blocks()[1].fs.specific_energy_consumption_thermal.display() # m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.permeate_flux.display() - m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_permeate_flow_rate.display() - m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_acc_distillate_volume.display() - m.fs.md.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume.display() - m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_evap_out_temp.display() + # m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_permeate_flow_rate.display() + # m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_acc_distillate_volume.display() + # m.fs.md.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume.display() + # m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_evap_out_temp.display() # m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.thermal_power.display() # m.fs.md.unit.get_active_process_blocks()[-1].fs.specific_energy_consumption_thermal.display() From 3c3864c08ab1bfc82c567631d1b71b4501198db1 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 28 Nov 2024 00:28:45 -0700 Subject: [PATCH 034/116] black --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 6 ++--- .../case_studies/KBHDP/components/MD.py | 26 ++++++++++--------- 2 files changed, 17 insertions(+), 15 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 453aa5f8..f4dea221 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -187,7 +187,7 @@ def set_inlet_conditions(blk, inlet_cond, model_options): ) -def set_operating_conditions(m,model_options, hours_storage=8): +def set_operating_conditions(m, model_options, hours_storage=8): set_md_op_conditions(m.fs.treatment.md, model_options) set_fpc_op_conditions( @@ -344,11 +344,11 @@ def main( inlet_cond, n_time_points=n_time_points ) - set_inlet_conditions(m.fs, inlet_cond,model_options) + set_inlet_conditions(m.fs, inlet_cond, model_options) init_system(m, m.fs, model_options, n_time_points) - set_operating_conditions(m, model_options,hours_storage) + set_operating_conditions(m, model_options, hours_storage) print(f"\nBefore Costing System Degrees of Freedom: {degrees_of_freedom(m)}") diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index b1db7974..4401acd3 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -125,7 +125,7 @@ def add_connections(m): def set_md_model_options(m, inlet_cond, n_time_points=None): - system_capacity = inlet_cond['recovery'] * pyunits.convert( + system_capacity = inlet_cond["recovery"] * pyunits.convert( inlet_cond["inlet_flow_rate"], to_units=pyunits.m**3 / pyunits.day ) feed_salinity = pyunits.convert( @@ -199,7 +199,7 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): # blk.feed.initialize() # feed_flow_rate = pyunits.convert( - # blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h + # blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h # )() # feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) @@ -208,7 +208,7 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): blk.unit.build_multi_period_model( model_data_kwargs={t: model_options for t in range(n_time_points)}, flowsheet_options=model_options, - unfix_dof_options={"feed_flow_rate": model_options['feed_flow_rate']}, + unfix_dof_options={"feed_flow_rate": model_options["feed_flow_rate"]}, ) add_performance_constraints(blk.unit, model_options) @@ -220,10 +220,10 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): for active in active_blks: fix_dof_and_initialize( m=active, - feed_temp=model_options['feed_temp'], + feed_temp=model_options["feed_temp"], ) result = solver.solve(active) - unfix_dof(m=active, feed_flow_rate=model_options['feed_flow_rate']) + unfix_dof(m=active, feed_flow_rate=model_options["feed_flow_rate"]) # Build connection to permeate state junction blk.permeate.properties[0]._flow_vol_phase() @@ -352,15 +352,17 @@ def set_md_op_conditions(blk, model_options): # feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") - print("Feed flow rate in L/h:", model_options['feed_flow_rate']) - print("Feed salinity in g/l:", model_options['feed_salinity']) - print("Feed temperature in C:",model_options["feed_temp"]) + print("Feed flow rate in L/h:", model_options["feed_flow_rate"]) + print("Feed salinity in g/l:", model_options["feed_salinity"]) + print("Feed temperature in C:", model_options["feed_temp"]) print("\n") active_blks[0].fs.vagmd.feed_props[0].conc_mass_phase_comp["Liq", "TDS"].fix( - model_options['feed_salinity'] + model_options["feed_salinity"] + ) + active_blks[0].fs.vagmd.feed_props[0].temperature.fix( + model_options["feed_temp"] + 273.15 ) - active_blks[0].fs.vagmd.feed_props[0].temperature.fix(model_options["feed_temp"] + 273.15) active_blks[0].fs.acc_distillate_volume.fix(0) active_blks[0].fs.pre_feed_temperature.fix(model_options["feed_temp"] + 273.15) active_blks[0].fs.pre_permeate_flow_rate.fix(0) @@ -705,7 +707,7 @@ def report_md_costing(m, blk): "recovery": overall_recovery, } - n_time_points = 2#None + n_time_points = 2 # None m, model_options, n_time_points = build_system( inlet_cond, n_time_points=n_time_points ) @@ -714,7 +716,7 @@ def report_md_costing(m, blk): set_system_op_conditions(m.fs, model_options) init_system(m, m.fs.md, model_options, n_time_points) - set_md_op_conditions(m.fs.md,model_options) + set_md_op_conditions(m.fs.md, model_options) results = solve(m, solver=solver, tee=False) # results= solver.solve(m) From 3ca42510b704a9be78f66760f773c729d5a3a4ab Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 4 Dec 2024 13:14:44 -0700 Subject: [PATCH 035/116] add EC TDS removal frac, base currency = 2023 to yamls --- .../reflo/analysis/case_studies/permian/components/EC.py | 2 +- .../reflo/data/technoeconomic/electrocoagulation.yaml | 4 ++-- .../reflo/data/technoeconomic/permian_case_study.yaml | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py index 0fff3d22..12e00e45 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py @@ -182,7 +182,7 @@ def set_ec_operating_conditions(m, blk, conv=5e3, **kwargs): vv.fix(v) if isinstance(vv, Param): vv.set_value(v) - + print(f"Electrocoagulation") print(f"\tblock DOF = {degrees_of_freedom(blk)}\n") print(f"\tunit DOF = {degrees_of_freedom(blk.unit)}\n") diff --git a/src/watertap_contrib/reflo/data/technoeconomic/electrocoagulation.yaml b/src/watertap_contrib/reflo/data/technoeconomic/electrocoagulation.yaml index 19cd6bb9..5492750f 100644 --- a/src/watertap_contrib/reflo/data/technoeconomic/electrocoagulation.yaml +++ b/src/watertap_contrib/reflo/data/technoeconomic/electrocoagulation.yaml @@ -115,11 +115,11 @@ permian: units: dimensionless removal_frac_mass_comp: tds: - value: 0. + value: 0.1 units: dimensionless reference: https://doi.org/10.1016/j.memsci.2018.06.041 silica: - value: 0.7 + value: 0.95 units: dimensionless capital_cost: cost_factor: TPEC diff --git a/src/watertap_contrib/reflo/data/technoeconomic/permian_case_study.yaml b/src/watertap_contrib/reflo/data/technoeconomic/permian_case_study.yaml index 8d47d7f3..16eba766 100644 --- a/src/watertap_contrib/reflo/data/technoeconomic/permian_case_study.yaml +++ b/src/watertap_contrib/reflo/data/technoeconomic/permian_case_study.yaml @@ -1,4 +1,4 @@ -base_currency: USD_2021 +base_currency: USD_2023 base_period: year defined_flows: hydrogen_peroxide: From 79e2708457d3ab7f4ec8dfa312d18b1ff415fb6f Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 9 Dec 2024 09:45:37 -0700 Subject: [PATCH 036/116] add __all__ for imports --- .../reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index f4dea221..2f830ddc 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -54,6 +54,18 @@ reflo_dir = pathlib.Path(__file__).resolve().parents[3] case_study_yaml = f"{reflo_dir}/data/technoeconomic/kbhdp_case_study.yaml" +__all__ = [ + "build_system", + "add_connections", + "add_costing", + "calc_costing", + "add_system_costing", + "set_inlet_conditions", + "set_operating_conditions", + "init_system", + "print_results_summary", +] + def propagate_state(arc): _prop_state(arc) From 161fa2d62532b724a3105ecd02a774ad278c5063 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 9 Dec 2024 09:45:48 -0700 Subject: [PATCH 037/116] black --- .../reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 2f830ddc..5405ab6d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -57,12 +57,12 @@ __all__ = [ "build_system", "add_connections", - "add_costing", + "add_costing", "calc_costing", "add_system_costing", "set_inlet_conditions", "set_operating_conditions", - "init_system", + "init_system", "print_results_summary", ] From 7d824ae68634e32dedf24e03335bcc03e437fe46 Mon Sep 17 00:00:00 2001 From: Kurban Sitterley Date: Mon, 9 Dec 2024 11:58:10 -0700 Subject: [PATCH 038/116] Update src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml Co-authored-by: Adam Atia --- .../reflo/data/technoeconomic/kbhdp_case_study.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml b/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml index 52134624..fc77495d 100644 --- a/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml +++ b/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml @@ -3,7 +3,7 @@ base_period: year defined_flows: electricity: value: 0.0595 - units: USD_2019/kWh + units: USD_2023/kWh heat: value: 0.0000061 units: USD_2020/kJ From a4248ac7e63eb834ec52ec6bed458a5369e52f17 Mon Sep 17 00:00:00 2001 From: Kurban Sitterley Date: Mon, 9 Dec 2024 11:58:14 -0700 Subject: [PATCH 039/116] Update src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml Co-authored-by: Adam Atia --- .../reflo/data/technoeconomic/kbhdp_case_study.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml b/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml index fc77495d..18336c96 100644 --- a/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml +++ b/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml @@ -6,7 +6,7 @@ defined_flows: units: USD_2023/kWh heat: value: 0.0000061 - units: USD_2020/kJ + units: USD_2023/kJ # hydrogen_peroxide: # value: 1.53 # units: USD_2020/kg From 9b02dd21a81e251ee91bd3e05a20943b8507f0c5 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 9 Dec 2024 12:17:55 -0700 Subject: [PATCH 040/116] Refactor MD.py: Remove commented-out code and enhance report_MD function for detailed output --- .../case_studies/KBHDP/components/MD.py | 153 ++++++------------ 1 file changed, 49 insertions(+), 104 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 4401acd3..ce2901e0 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -191,19 +191,7 @@ def build_md(m, blk, inlet_cond, n_time_points=None) -> None: def init_md(blk, model_options, n_time_points, verbose=True, solver=None): - # blk = m.fs.md - - # blk.feed.properties[0]._flow_vol_phase() - # blk.feed.properties[0]._conc_mass_phase_comp() - - # blk.feed.initialize() - - # feed_flow_rate = pyunits.convert( - # blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h - # )() - - # feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) - + # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) blk.unit.build_multi_period_model( model_data_kwargs={t: model_options for t in range(n_time_points)}, @@ -237,7 +225,6 @@ def get_permeate_flow(b): return ( b.permeate.properties[0].flow_vol_phase["Liq"] == - # pyunits.convert( pyunits.convert( ( num_modules @@ -343,14 +330,6 @@ def set_md_op_conditions(blk, model_options): active_blks = blk.unit.get_active_process_blocks() - # Set-up for the first time period - # feed_flow_rate = pyunits.convert( - # blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h - # )() - - # feed_salinity = blk.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"]() - # feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) - print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") print("Feed flow rate in L/h:", model_options["feed_flow_rate"]) print("Feed salinity in g/l:", model_options["feed_salinity"]) @@ -478,7 +457,7 @@ def add_md_costing(blk, costing_block): Returns: object: A costing module associated to the multiperiod module """ - # blk.system_capacity.fix() + # Specify the last time step vagmd = blk.get_active_process_blocks()[-1].fs.vagmd vagmd.costing = UnitModelCostingBlock(flowsheet_costing_block=costing_block) @@ -554,7 +533,7 @@ def solve(model, solver=None, tee=True, raise_on_failure=True): return results -def report_MD(m, blk): +def report_MD(m, blk, detailed=False): # blk = m.fs.md active_blks = blk.unit.get_active_process_blocks() @@ -570,10 +549,6 @@ def report_MD(m, blk): f'{"Feed stream salinity":<30s}{value(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' ) - # print( - # f'{"MD Period 1 Feed salinity":<30s}{value(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' - # ) - print( f'{"Number of modules:":<30s}{value(active_blks[-1].fs.vagmd.num_modules):<10.2f}' ) @@ -611,19 +586,6 @@ def report_MD(m, blk): to_units=pyunits.m**3 / pyunits.day, ) - # print( - # f'{"Product flow rate":<30s}{value(prod_flow):<10,.2f}{pyunits.get_units(prod_flow)}' - # ) - - # disp_flow = pyunits.convert( - # m.fs.disposal.properties[0].flow_vol_phase["Liq"], - # to_units=pyunits.m**3 / pyunits.day, - # ) - - # print( - # f'{"Disposal flow rate":<30s}{value(disp_flow):<10,.2f}{pyunits.get_units(disp_flow)}' - # ) - print( f'{"STEC":<30s}{value(active_blks[-1].fs.specific_energy_consumption_thermal):<10.2f}{pyunits.get_units(active_blks[-1].fs.specific_energy_consumption_thermal)}' ) @@ -640,6 +602,32 @@ def report_MD(m, blk): f'{"Overall elec requirement":<30s}{value(blk.unit.overall_elec_power_requirement):<10.2f}{pyunits.get_units(blk.unit.overall_elec_power_requirement)}' ) + if detailed: + m.fs.md.unit.get_active_process_blocks()[0].fs.dt.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.permeate_flux.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.pre_permeate_flow_rate.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.pre_evap_out_temp.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.thermal_power.display() + m.fs.md.unit.get_active_process_blocks()[0].fs.specific_energy_consumption_thermal.display() + + m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.permeate_flux.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.pre_permeate_flow_rate.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.pre_evap_out_temp.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.thermal_power.display() + m.fs.md.unit.get_active_process_blocks()[1].fs.specific_energy_consumption_thermal.display() + + m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.permeate_flux.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_permeate_flow_rate.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_evap_out_temp.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.thermal_power.display() + m.fs.md.unit.get_active_process_blocks()[-1].fs.specific_energy_consumption_thermal.display() + def report_md_costing(m, blk): @@ -656,37 +644,25 @@ def report_md_costing(m, blk): f'{"Fixed Operating Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.fixed_operating_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.fixed_operating_cost)}' ) - # print( - # f'{"Variable Operating Cost":<30s}{value(blk.costing.variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.variable_operating_cost)}' - # ) - - # print( - # f'{"Aggregated Variable Operating Cost":<30s}{value(blk.costing.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.aggregate_variable_operating_cost)}' - # ) - - # print( - # f'{"Total Operating Cost":<30s}{value(blk.costing.total_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_operating_cost)}' - # ) - print( f'{"Membrane Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.module_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.module_cost)}' ) - # print( - # f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' - # ) + print( + f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + ) - # print( - # f'{"Aggregated Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' - # ) + print( + f'{"Aggregated Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' + ) - # print( - # f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' - # ) + print( + f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' + ) - # print( - # f'{"Aggregated Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' - # ) + print( + f'{"Aggregated Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' + ) if __name__ == "__main__": @@ -719,40 +695,9 @@ def report_md_costing(m, blk): set_md_op_conditions(m.fs.md, model_options) results = solve(m, solver=solver, tee=False) - # results= solver.solve(m) print("\n--------- Solve 1 Completed ---------\n") - # m.fs.md.unit.get_active_process_blocks()[0].fs.dt.display() - # m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.permeate_flux.display() - # m.fs.md.unit.get_active_process_blocks()[0].fs.pre_permeate_flow_rate.display() - # m.fs.md.unit.get_active_process_blocks()[0].fs.pre_acc_distillate_volume.display() - # m.fs.md.unit.get_active_process_blocks()[0].fs.acc_distillate_volume.display() - # m.fs.md.unit.get_active_process_blocks()[0].fs.pre_evap_out_temp.display() - # m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.thermal_power.display() - # m.fs.md.unit.get_active_process_blocks()[0].fs.specific_energy_consumption_thermal.display() - - # m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.permeate_flux.display() - # m.fs.md.unit.get_active_process_blocks()[1].fs.pre_permeate_flow_rate.display() - # m.fs.md.unit.get_active_process_blocks()[1].fs.pre_acc_distillate_volume.display() - # m.fs.md.unit.get_active_process_blocks()[1].fs.acc_distillate_volume.display() - # m.fs.md.unit.get_active_process_blocks()[1].fs.pre_evap_out_temp.display() - # m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.thermal_power.display() - # m.fs.md.unit.get_active_process_blocks()[1].fs.specific_energy_consumption_thermal.display() - - # m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.permeate_flux.display() - # m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_permeate_flow_rate.display() - # m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_acc_distillate_volume.display() - # m.fs.md.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume.display() - # m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_evap_out_temp.display() - # m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.thermal_power.display() - # m.fs.md.unit.get_active_process_blocks()[-1].fs.specific_energy_consumption_thermal.display() - - # m.fs.disposal.properties[0].flow_vol_phase add_md_costing(m.fs.md.unit, costing_block=m.fs.costing) - - # results = solve(m, solver=solver, tee=False) - # print("\n--------- Solve 2 Completed ---------\n") - calc_costing(m, m.fs) print("\nSystem Degrees of Freedom:", degrees_of_freedom(m), "\n") @@ -766,15 +711,15 @@ def report_md_costing(m, blk): report_MD(m, m.fs.md) report_md_costing(m, m.fs) - # active_blks = m.fs.md.unit.get_active_process_blocks() + active_blks = m.fs.md.unit.get_active_process_blocks() - # permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( - # m.fs, n_time_points, model_options - # ) + permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( + m.fs, n_time_points, model_options + ) - # time_period = [i for i in range(n_time_points)] - # t_minutes = [value(active_blks[i].fs.dt) * i / 60 for i in range(n_time_points)] + time_period = [i for i in range(n_time_points)] + t_minutes = [value(active_blks[i].fs.dt) * i / 60 for i in range(n_time_points)] - # heat_in = [value(active_blks[i].fs.pre_thermal_power) for i in range(n_time_points)] + heat_in = [value(active_blks[i].fs.pre_thermal_power) for i in range(n_time_points)] - # m.fs.water_recovery.display() + m.fs.water_recovery.display() From d70fd3585507aa1f40c64a6972b2095798b414b5 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 9 Dec 2024 12:34:02 -0700 Subject: [PATCH 041/116] Refactor KBHDP components: Update FPC and MD functions for improved clarity and performance; change base currency in YAML configuration --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 4 +- .../case_studies/KBHDP/components/FPC.py | 30 ++++--- .../case_studies/KBHDP/components/MD.py | 51 ++++++----- .../data/technoeconomic/kbhdp_case_study.yaml | 87 +++++++++---------- 4 files changed, 89 insertions(+), 83 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 5405ab6d..eb9965ae 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -98,8 +98,8 @@ def build_system(inlet_cond, n_time_points): m.fs.treatment.dwi = FlowsheetBlock(dynamic=False) build_DWI(m, m.fs.treatment.dwi, m.fs.params) - m.fs.energy.fpc = FlowsheetBlock(dynamic=False) - build_fpc(m.fs.energy.fpc) + m.fs.energy.FPC = FlowsheetBlock(dynamic=False) + build_fpc(m) add_connections(m) return m, model_options, n_time_points diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index ad52067b..bc4b4772 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -57,22 +57,28 @@ def build_system(): return m -def build_fpc(blk, __file__=None): - print(f'\n{"=======> BUILDING FPC SYSTEM <=======":^60}\n') +def build_fpc(m): + energy = m.fs.energy - if __file__ == None: - cwd = os.getcwd() - __file__ = ( - cwd + r"\src\watertap_contrib\reflo\solar_models\surrogate\flat_plate\\" - ) + print(f'\n{"=======> BUILDING FPC SYSTEM <=======":^60}\n') + parent_dir = os.path.abspath( + os.path.join(os.path.abspath(__file__), "..", "..", "..", "..", "..") + ) - dataset_filename = os.path.join( - os.path.dirname(__file__), r"data\flat_plate_data_heat_load_1_400.pkl" + surrogate_dir = os.path.join( + parent_dir, + "solar_models", + "surrogate", + "flat_plate", + "data", ) + + dataset_filename = os.path.join(surrogate_dir, "FPC_Heat_Load.pkl") + surrogate_filename = os.path.join( - os.path.dirname(__file__), - r"data\flat_plate_data_heat_load_1_400_heat_load_1_400_hours_storage_0_27_temperature_hot_50_102.json", + surrogate_dir, + "flat_plate_data_heat_load_1_400_heat_load_1_400_hours_storage_0_27_temperature_hot_50_102.json", ) input_bounds = dict( @@ -91,7 +97,7 @@ def build_fpc(blk, __file__=None): "units": output_units, } - blk.unit = FlatPlateSurrogate( + energy.FPC = FlatPlateSurrogate( surrogate_model_file=surrogate_filename, dataset_filename=dataset_filename, input_variables=input_variables, diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index ce2901e0..73fea97a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -155,7 +155,7 @@ def set_md_model_options(m, inlet_cond, n_time_points=None): cond_inlet_temp=model_options["cond_inlet_temp"], feed_temp=model_options["feed_temp"], feed_salinity=model_options["feed_salinity"], - recovery_ratio=m.fs.water_recovery(), + recovery_ratio=inlet_cond["recovery"], initial_batch_volume=model_options["initial_batch_volume"], module_type=model_options["module_type"], cooling_system_type=model_options["cooling_system_type"], @@ -191,7 +191,7 @@ def build_md(m, blk, inlet_cond, n_time_points=None) -> None: def init_md(blk, model_options, n_time_points, verbose=True, solver=None): - + # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) blk.unit.build_multi_period_model( model_data_kwargs={t: model_options for t in range(n_time_points)}, @@ -222,20 +222,13 @@ def init_md(blk, model_options, n_time_points, verbose=True, solver=None): def get_permeate_flow(b): num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules - return ( - b.permeate.properties[0].flow_vol_phase["Liq"] - == - pyunits.convert( - ( - num_modules - * b.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume - / ( - b.unit.get_active_process_blocks()[-1].fs.dt - * (n_time_points - 1) - ) - ), - to_units=pyunits.m**3 / pyunits.s, - ) + return b.permeate.properties[0].flow_vol_phase["Liq"] == pyunits.convert( + ( + num_modules + * b.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume + / (b.unit.get_active_process_blocks()[-1].fs.dt * (n_time_points - 1)) + ), + to_units=pyunits.m**3 / pyunits.s, ) blk.permeate.properties[0].flow_mass_phase_comp["Liq", "TDS"].fix(0) @@ -606,27 +599,39 @@ def report_MD(m, blk, detailed=False): m.fs.md.unit.get_active_process_blocks()[0].fs.dt.display() m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.permeate_flux.display() m.fs.md.unit.get_active_process_blocks()[0].fs.pre_permeate_flow_rate.display() - m.fs.md.unit.get_active_process_blocks()[0].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[ + 0 + ].fs.pre_acc_distillate_volume.display() m.fs.md.unit.get_active_process_blocks()[0].fs.acc_distillate_volume.display() m.fs.md.unit.get_active_process_blocks()[0].fs.pre_evap_out_temp.display() m.fs.md.unit.get_active_process_blocks()[0].fs.vagmd.thermal_power.display() - m.fs.md.unit.get_active_process_blocks()[0].fs.specific_energy_consumption_thermal.display() + m.fs.md.unit.get_active_process_blocks()[ + 0 + ].fs.specific_energy_consumption_thermal.display() m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.permeate_flux.display() m.fs.md.unit.get_active_process_blocks()[1].fs.pre_permeate_flow_rate.display() - m.fs.md.unit.get_active_process_blocks()[1].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[ + 1 + ].fs.pre_acc_distillate_volume.display() m.fs.md.unit.get_active_process_blocks()[1].fs.acc_distillate_volume.display() m.fs.md.unit.get_active_process_blocks()[1].fs.pre_evap_out_temp.display() m.fs.md.unit.get_active_process_blocks()[1].fs.vagmd.thermal_power.display() - m.fs.md.unit.get_active_process_blocks()[1].fs.specific_energy_consumption_thermal.display() + m.fs.md.unit.get_active_process_blocks()[ + 1 + ].fs.specific_energy_consumption_thermal.display() m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.permeate_flux.display() m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_permeate_flow_rate.display() - m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_acc_distillate_volume.display() + m.fs.md.unit.get_active_process_blocks()[ + -1 + ].fs.pre_acc_distillate_volume.display() m.fs.md.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume.display() m.fs.md.unit.get_active_process_blocks()[-1].fs.pre_evap_out_temp.display() m.fs.md.unit.get_active_process_blocks()[-1].fs.vagmd.thermal_power.display() - m.fs.md.unit.get_active_process_blocks()[-1].fs.specific_energy_consumption_thermal.display() + m.fs.md.unit.get_active_process_blocks()[ + -1 + ].fs.specific_energy_consumption_thermal.display() def report_md_costing(m, blk): @@ -649,7 +654,7 @@ def report_md_costing(m, blk): ) print( - f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' ) print( diff --git a/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml b/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml index 18336c96..e17d9e13 100644 --- a/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml +++ b/src/watertap_contrib/reflo/data/technoeconomic/kbhdp_case_study.yaml @@ -1,4 +1,4 @@ -base_currency: USD_2021 +base_currency: USD_2023 base_period: year defined_flows: electricity: @@ -7,48 +7,43 @@ defined_flows: heat: value: 0.0000061 units: USD_2023/kJ -# hydrogen_peroxide: -# value: 1.53 -# units: USD_2020/kg -# purity: 1 - -# global_parameters: -# plant_lifetime: -# value: 30 -# units: year -# utilization_factor: -# value: 1 -# units: dimensionless -# land_cost_percent_FCI: -# value: 0.0015 -# units: dimensionless -# working_capital_percent_FCI: -# value: 0.05 -# units: dimensionless -# salaries_percent_FCI: -# value: 0.001 -# units: 1/year -# benefit_percent_of_salary: -# value: 0.9 -# units: dimensionless -# maintenance_costs_percent_FCI: -# value: 0.008 -# units: 1/year -# laboratory_fees_percent_FCI: -# value: 0.003 -# units: 1/year -# insurance_and_taxes_percent_FCI: -# value: 0.002 -# units: 1/year -# wacc: -# # Weighted Average Cost of Capital (WACC) -# value: 0.05 -# units: dimensionless -# TPEC: -# # Total Purchased Equipment Cost -# value: 3.4 -# units: dimensionless -# TIC: -# # Total Installed Cost -# value: 1.65 -# units: dimensionless \ No newline at end of file +global_parameters: + plant_lifetime: + value: 25 + units: year + utilization_factor: + value: 1 + units: dimensionless + land_cost_percent_FCI: + value: 0.0015 + units: dimensionless + working_capital_percent_FCI: + value: 0.05 + units: dimensionless + salaries_percent_FCI: + value: 0.001 + units: 1/year + benefit_percent_of_salary: + value: 0.9 + units: dimensionless + maintenance_costs_percent_FCI: + value: 0.008 + units: 1/year + laboratory_fees_percent_FCI: + value: 0.003 + units: 1/year + insurance_and_taxes_percent_FCI: + value: 0.002 + units: 1/year + wacc: + # Weighted Average Cost of Capital (WACC) + value: 0.05 + units: dimensionless + TPEC: + # Total Purchased Equipment Cost + value: 3.4 + units: dimensionless + TIC: + # Total Installed Cost + value: 1.65 + units: dimensionless \ No newline at end of file From ffd0e922a94dc5b874b6816d29e46dadfaf1467a Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Fri, 13 Dec 2024 21:43:31 -0700 Subject: [PATCH 042/116] Refactor KBHDP case studies: improve function calls and add degrees of freedom breakdown --- .../case_studies/KBHDP/KBHDP_RPT_1.py | 4 +- .../analysis/case_studies/KBHDP/KBHDP_SOA.py | 419 ++++++++++-------- .../case_studies/KBHDP/components/softener.py | 117 +++-- 3 files changed, 308 insertions(+), 232 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py index 77a59d13..c43fe62f 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py @@ -490,7 +490,7 @@ def init_treatment(m, verbose=True, solver=None): assert_no_degrees_of_freedom(m) treatment.feed.initialize(optarg=optarg) propagate_state(treatment.feed_to_translator) - + report_MCAS_stream_conc(m, treatment.feed.properties[0.0]) treatment.MCAS_to_TDS_translator.initialize(optarg=optarg) propagate_state(treatment.translator_to_EC) @@ -513,7 +513,7 @@ def init_treatment(m, verbose=True, solver=None): # propagate_state(treatment.ro_to_dwi) treatment.product.initialize(optarg=optarg) - # init_DWI(m, treatment.DWI) + init_DWI(m, treatment.DWI) display_system_stream_table(m) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py index 80a18d89..2a650d4e 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py @@ -28,7 +28,7 @@ from idaes.core import FlowsheetBlock, UnitModelCostingBlock from idaes.models.unit_models import Product, Feed, StateJunction, Separator -from watertap.core.wt_database import Database +from watertap_contrib.reflo.core import REFLODatabase from watertap.core.util.model_diagnostics.infeasible import * from watertap.core.util.initialization import * from watertap.property_models.NaCl_prop_pack import NaClParameterBlock @@ -72,29 +72,29 @@ def main(): file_dir = os.path.dirname(os.path.abspath(__file__)) m = build_system() - display_system_build(m) + # display_system_build(m) add_connections(m) add_constraints(m) set_operating_conditions(m) + apply_scaling(m) init_system(m) + # breakdown_dof(m, detailed=True) add_costing(m) - display_system_build(m) - optimize(m, ro_mem_area=None, water_recovery=0.5) + # display_system_build(m) + optimize(m, ro_mem_area=None, water_recovery=0.6) solve(m, debug=True) - display_system_stream_table(m) - report_softener(m) - report_UF(m, m.fs.UF) - report_RO(m, m.fs.RO) - display_costing_breakdown(m) - print_all_results(m) + # display_system_stream_table(m) + # report_softener(m) + # report_UF(m, m.fs.UF) + # report_RO(m, m.fs.RO) + # display_costing_breakdown(m) + # print_all_results(m) def build_system(): m = ConcreteModel() - m.db = Database() + m.db = REFLODatabase() m.fs = FlowsheetBlock(dynamic=False) - m.fs.costing = REFLOCosting() - m.fs.costing.base_currency = pyunits.USD_2020 m.fs.MCAS_properties = MCASParameterBlock( solute_list=[ @@ -113,45 +113,46 @@ def build_system(): m.fs.RO_properties = NaClParameterBlock() m.fs.UF_properties = WaterParameterBlock(solute_list=["tds", "tss"]) - m.fs.feed = Feed(property_package=m.fs.MCAS_properties) - m.fs.product = Product(property_package=m.fs.RO_properties) - m.fs.disposal = Product(property_package=m.fs.RO_properties) + build_treatment(m) + + return m + + +def build_treatment(m): + treatment = m.fs.treatment = Block() + + treatment.feed = Feed(property_package=m.fs.MCAS_properties) + treatment.product = Product(property_package=m.fs.RO_properties) + treatment.sludge = Product(property_package=m.fs.MCAS_properties) + treatment.UF_waste = Product(property_package=m.fs.UF_properties) # Define the Unit Models - m.fs.softener = FlowsheetBlock(dynamic=False) - m.fs.UF = FlowsheetBlock(dynamic=False) - m.fs.pump = Pump(property_package=m.fs.RO_properties) - m.fs.RO = FlowsheetBlock(dynamic=False) - m.fs.DWI = FlowsheetBlock(dynamic=False) - - # Define the Translator Blocks - m.fs.MCAS_to_NaCl_translator = Translator_MCAS_to_NACL( - inlet_property_package=m.fs.MCAS_properties, - outlet_property_package=m.fs.RO_properties, - has_phase_equilibrium=False, - outlet_state_defined=True, - ) + treatment.softener = FlowsheetBlock(dynamic=False) + treatment.UF = FlowsheetBlock(dynamic=False) + treatment.pump = Pump(property_package=m.fs.RO_properties) + treatment.RO = FlowsheetBlock(dynamic=False) + treatment.DWI = FlowsheetBlock(dynamic=False) - m.fs.MCAS_to_TDS_translator = Translator_MCAS_to_TDS( + treatment.MCAS_to_TDS_translator = Translator_MCAS_to_TDS( inlet_property_package=m.fs.MCAS_properties, outlet_property_package=m.fs.UF_properties, has_phase_equilibrium=False, outlet_state_defined=True, ) - m.fs.TDS_to_NaCl_translator = Translator_TDS_to_NACL( + treatment.TDS_to_NaCl_translator = Translator_TDS_to_NACL( inlet_property_package=m.fs.UF_properties, outlet_property_package=m.fs.RO_properties, has_phase_equilibrium=False, outlet_state_defined=True, ) - build_softener(m, m.fs.softener, prop_package=m.fs.MCAS_properties) - build_UF(m, m.fs.UF, prop_package=m.fs.UF_properties) - build_ro(m, m.fs.RO, prop_package=m.fs.RO_properties, number_of_stages=2) - build_DWI(m, m.fs.DWI, prop_package=m.fs.RO_properties) + build_softener(m, treatment.softener, prop_package=m.fs.MCAS_properties) + build_UF(m, treatment.UF, prop_package=m.fs.UF_properties) + build_ro(m, treatment.RO, prop_package=m.fs.RO_properties, number_of_stages=2) + build_DWI(m, treatment.DWI, prop_package=m.fs.RO_properties) - m.fs.units = [m.fs.softener, m.fs.UF, m.fs.pump, m.fs.RO, m.fs.DWI] + m.fs.units = [treatment.softener, treatment.UF, treatment.pump, treatment.RO, treatment.DWI] m.fs.MCAS_properties.set_default_scaling( "flow_mass_phase_comp", 10**-1, index=("Liq", "H2O") @@ -160,6 +161,10 @@ def build_system(): "flow_mass_phase_comp", 10**-1, index=("Liq", "NaCl") ) + m.fs.UF_properties.set_default_scaling("flow_mass_comp", 1e-2, index=("H2O")) + m.fs.UF_properties.set_default_scaling("flow_mass_comp", 1, index=("tds")) + m.fs.UF_properties.set_default_scaling("flow_mass_comp", 1e5, index=("tss")) + m.fs.RO_properties.set_default_scaling( "flow_mass_phase_comp", 1, index=("Liq", "H2O") ) @@ -170,52 +175,81 @@ def build_system(): return m +def build_sweep(): + + m = build_system() + display_system_build(m) + add_connections(m) + add_constraints(m) + set_operating_conditions(m) + apply_scaling(m) + init_system(m) + add_costing(m) + display_system_build(m) + optimize(m, ro_mem_area=None, water_recovery=0.6) + + return m + + def add_connections(m): + treatment = m.fs.treatment + + treatment.feed_to_softener = Arc( + source=treatment.feed.outlet, + destination=treatment.softener.unit.inlet, + ) + + treatment.softener_to_translator = Arc( + source=treatment.softener.unit.outlet, + destination=treatment.MCAS_to_TDS_translator.inlet, + ) - m.fs.feed_to_softener = Arc( - source=m.fs.feed.outlet, - destination=m.fs.softener.unit.inlet, + treatment.softener_to_sludge = Arc( + source=treatment.softener.unit.waste, + destination=treatment.sludge.inlet, ) - m.fs.softener_to_translator = Arc( - source=m.fs.softener.unit.outlet, - destination=m.fs.MCAS_to_TDS_translator.inlet, + treatment.translator_to_UF = Arc( + source=treatment.MCAS_to_TDS_translator.outlet, + destination=treatment.UF.feed.inlet, ) - m.fs.translator_to_UF = Arc( - source=m.fs.MCAS_to_TDS_translator.outlet, - destination=m.fs.UF.feed.inlet, + treatment.UF_to_translator3 = Arc( + source=treatment.UF.product.outlet, + destination=treatment.TDS_to_NaCl_translator.inlet, ) - m.fs.UF_to_translator3 = Arc( - source=m.fs.UF.product.outlet, - destination=m.fs.TDS_to_NaCl_translator.inlet, + treatment.UF_to_waste = Arc( + source=treatment.UF.disposal.outlet, + destination=treatment.UF_waste.inlet, ) - m.fs.translator_to_pump = Arc( - source=m.fs.TDS_to_NaCl_translator.outlet, - destination=m.fs.pump.inlet, + treatment.translator_to_pump = Arc( + source=treatment.TDS_to_NaCl_translator.outlet, + destination=treatment.pump.inlet, ) - m.fs.pump_to_ro = Arc( - source=m.fs.pump.outlet, - destination=m.fs.RO.feed.inlet, + treatment.pump_to_ro = Arc( + source=treatment.pump.outlet, + destination=treatment.RO.feed.inlet, ) - m.fs.ro_to_product = Arc( - source=m.fs.RO.product.outlet, - destination=m.fs.product.inlet, + treatment.ro_to_product = Arc( + source=treatment.RO.product.outlet, + destination=treatment.product.inlet, ) - m.fs.ro_to_disposal = Arc( - source=m.fs.RO.disposal.outlet, - destination=m.fs.DWI.feed.inlet, + treatment.ro_to_disposal = Arc( + source=treatment.RO.disposal.outlet, + destination=treatment.DWI.feed.inlet, ) TransformationFactory("network.expand_arcs").apply_to(m) def add_constraints(m): + treatment = m.fs.treatment + m.fs.water_recovery = Var( initialize=0.5, bounds=(0, 0.99), @@ -224,66 +258,45 @@ def add_constraints(m): doc="System Water Recovery", ) - m.fs.feed_flow_mass = Var( - initialize=1, - bounds=(0.00001, 1e6), - domain=NonNegativeReals, - units=pyunits.kg / pyunits.s, - doc="System Feed Flowrate", - ) - - m.fs.feed_flow_vol = Var( - initialize=1, - bounds=(0.00001, 1e6), - domain=NonNegativeReals, - units=pyunits.L / pyunits.s, - doc="System Feed Flowrate", - ) - - m.fs.perm_flow_mass = Var( - initialize=1, - bounds=(0.00001, 1e6), - domain=NonNegativeReals, - units=pyunits.kg / pyunits.s, - doc="System Produce Flowrate", - ) - m.fs.eq_water_recovery = Constraint( - expr=m.fs.feed.properties[0].flow_vol_phase["Liq"] * m.fs.water_recovery - == m.fs.product.properties[0].flow_vol_phase["Liq"] + expr=treatment.feed.properties[0].flow_vol * m.fs.water_recovery + == treatment.product.properties[0].flow_vol ) - m.fs.feed.properties[0].conc_mass_phase_comp - m.fs.product.properties[0].conc_mass_phase_comp - m.fs.disposal.properties[0].conc_mass_phase_comp - m.fs.MCAS_to_NaCl_translator.properties_in[0.0].conc_mass_phase_comp - m.fs.MCAS_to_NaCl_translator.properties_out[0.0].conc_mass_phase_comp + +def apply_scaling(m): + treatment = m.fs.treatment + # add_ec_scaling(m, m.fs.treatment.EC) + add_UF_scaling(treatment.UF) + add_ro_scaling(m, treatment.RO) + # # if m.fs.RE: + # add_pv_scaling(m, m.fs.energy.pv) + calculate_scaling_factors(m) def add_costing(m): + treatment = m.fs.treatment + treatment.costing = TreatmentCosting() - m.fs.pump.costing = UnitModelCostingBlock( - flowsheet_costing_block=m.fs.costing, + treatment.pump.costing = UnitModelCostingBlock( + flowsheet_costing_block=treatment.costing, ) - add_softener_costing(m, m.fs.softener, m.fs.costing) - add_UF_costing(m, m.fs.UF, m.fs.costing) - add_ro_costing(m, m.fs.RO, m.fs.costing) - add_DWI_costing(m, m.fs.DWI, m.fs.costing) + add_softener_costing(m, treatment.softener, treatment.costing) + add_UF_costing(m, treatment.UF, treatment.costing) + add_ro_costing(m, treatment.RO, treatment.costing) + add_DWI_costing(m, treatment.DWI, treatment.costing) + treatment.costing.cost_process() + treatment.costing.initialize() + + m.fs.costing = REFLOCosting() m.fs.costing.cost_process() - m.fs.costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) - m.fs.costing.add_LCOW(m.fs.product.properties[0].flow_vol) - m.fs.costing.initialize() + m.fs.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) + m.fs.costing.add_LCOW(treatment.product.properties[0].flow_vol) - m.fs.costing.total_annualized_cost = pyo.Expression( - expr=( - m.fs.costing.total_capital_cost * m.fs.costing.capital_recovery_factor - + m.fs.costing.total_operating_cost - ), - doc="Total annualized cost of operation", - ) + m.fs.costing.initialize() def define_inlet_composition(m): @@ -300,18 +313,37 @@ def define_inlet_composition(m): def set_inlet_conditions( m, - Qin=4, - supply_pressure=1.1e5, - primary_pump_pressure=15e5, + Qin=None, + Cin=None, + water_recovery=None, + supply_pressure=101325, ): - + """Sets operating condition for the PV-RO system + + Args: + m (obj): Pyomo model + flow_in (float, optional): feed volumetric flow rate [m3/s]. Defaults to 1e-2. + conc_in (int, optional): solute concentration [g/L]. Defaults to 30. + water_recovery (float, optional): water recovery. Defaults to 0.5. + """ print(f'\n{"=======> SETTING OPERATING CONDITIONS <=======":^60}\n') - feed_temperature = 293 - Qin = Qin * pyunits.Mgal / pyunits.day - flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - rho = 1000 * pyunits.kg / pyunits.m**3 - flow_mass_phase_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) + treatment = m.fs.treatment + + # Convert Q_in from MGD to kg/s + Qin = pyunits.convert( + Qin * pyunits.Mgallon * pyunits.day**-1, to_units=pyunits.L / pyunits.s + ) + feed_density = 1000 * pyunits.kg / pyunits.m**3 + print('\n=======> SETTING FEED CONDITIONS <======="\n') + print(f"Flow Rate: {value(Qin):<10.2f}{pyunits.get_units(Qin)}") + + if Qin is None: + treatment.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"].fix(1) + else: + treatment.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"].fix( + Qin * feed_density + ) inlet_dict = { "Ca_2+": 0.61 * pyunits.kg / pyunits.m**3, @@ -324,50 +356,33 @@ def set_inlet_conditions( "SO2_-4+": 0.23 * pyunits.kg / pyunits.m**3, } - calc_state_dict = { - ("flow_vol_phase", "Liq"): value(flow_in), - ("pressure", None): 101325, - ("temperature", None): 298, - } - for solute, solute_conc in inlet_dict.items(): - calc_state_dict[("conc_mass_phase_comp", ("Liq", solute))] = solute_conc - flow_mass_solute = pyunits.convert( - flow_in * solute_conc, to_units=pyunits.kg / pyunits.s - ) - sf = 1 / value(flow_mass_solute) - m.fs.feed.properties[0].flow_mass_phase_comp["Liq", solute].set_value( - flow_mass_solute + treatment.feed.properties[0].flow_mass_phase_comp["Liq", solute].fix( + pyunits.convert( + ( + treatment.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"] + / (1000 * pyunits.kg / pyunits.m**3) + ) + * solute_conc, + to_units=pyunits.kg / pyunits.s, + ) ) m.fs.MCAS_properties.set_default_scaling( "flow_mass_phase_comp", - sf, - index=("Liq", solute), - ) - m.fs.MCAS_properties.set_default_scaling( - "conc_mass_phase_comp", - 1 / solute_conc(), + 1 / value(treatment.feed.properties[0].flow_mass_phase_comp["Liq", solute]), index=("Liq", solute), ) - m.fs.MCAS_properties.set_default_scaling( - "mass_frac_phase_comp", - 1 / value(flow_mass_solute / flow_mass_phase_water), - index=("Liq", solute), - ) - m.fs.MCAS_properties.set_default_scaling( "flow_mass_phase_comp", - 1 / value(m.fs.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"]), + 1 / value(treatment.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"]), index=("Liq", "H2O"), ) - calculate_scaling_factors(m) - m.fs.feed.properties.calculate_state(var_args=calc_state_dict, hold_state=True) - calculate_scaling_factors(m) + feed_temperature = 273.15 + 20 # # initialize feed - m.fs.feed.pressure[0].fix(supply_pressure) - m.fs.feed.temperature[0].fix(feed_temperature) + treatment.feed.pressure[0].fix(supply_pressure) + treatment.feed.temperature[0].fix(feed_temperature) def display_unfixed_vars(blk, report=True): @@ -381,55 +396,65 @@ def display_unfixed_vars(blk, report=True): def set_operating_conditions(m, RO_pressure=20e5, supply_pressure=1.1e5): + treatment = m.fs.treatment pump_efi = 0.8 # pump efficiency [-] - set_inlet_conditions(m, Qin=4, supply_pressure=1.1e5) - set_softener_op_conditions(m, m.fs.softener.unit) - set_UF_op_conditions(m.fs.UF) - m.fs.pump.efficiency_pump.fix(pump_efi) - m.fs.pump.control_volume.properties_in[0].pressure.fix(supply_pressure) - m.fs.pump.control_volume.properties_out[0].pressure.fix(RO_pressure) - set_ro_system_operating_conditions( - m, - m.fs.RO, - mem_area=10000, - ) + set_inlet_conditions(m, Qin=4) + set_softener_op_conditions(m, treatment.softener.unit) + set_UF_op_conditions(treatment.UF) + treatment.pump.efficiency_pump.fix(pump_efi) + treatment.pump.control_volume.properties_out[0].pressure.fix(RO_pressure) + set_ro_system_operating_conditions(m, treatment.RO, mem_area=10000) def init_system(m, verbose=True, solver=None): + print(f'\n{"=======> SYSTEM INITIALIZATION <=======":^60}\n') + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + if degrees_of_freedom(m) != 0: + breakdown_dof(m, detailed=True) + assert_no_degrees_of_freedom(m) + init_treatment(m) + + +def init_treatment(m, verbose=True, solver=None): if solver is None: solver = get_solver() optarg = solver.options + treatment = m.fs.treatment print("\n\n-------------------- INITIALIZING SYSTEM --------------------\n\n") print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - m.fs.feed.initialize() - propagate_state(m.fs.feed_to_softener) - report_MCAS_stream_conc(m, m.fs.feed.properties[0.0]) - init_softener(m, m.fs.softener.unit) - propagate_state(m.fs.softener_to_translator) - m.fs.MCAS_to_TDS_translator.initialize() - propagate_state(m.fs.translator_to_UF) - init_UF(m, m.fs.UF) - propagate_state(m.fs.UF_to_translator3) + treatment.feed.initialize() + propagate_state(treatment.feed_to_softener) + report_MCAS_stream_conc(m, treatment.feed.properties[0.0]) - m.fs.TDS_to_NaCl_translator.initialize() + init_softener(m, treatment.softener.unit) + propagate_state(treatment.softener_to_translator) + propagate_state(treatment.softener_to_sludge) + treatment.sludge.initialize() + + treatment.MCAS_to_TDS_translator.initialize() + propagate_state(treatment.translator_to_UF) + init_UF(m, treatment.UF) + propagate_state(treatment.UF_to_translator3) + propagate_state(treatment.UF_to_waste) + treatment.UF_waste.initialize() - propagate_state(m.fs.translator_to_pump) - m.fs.pump.initialize() + treatment.TDS_to_NaCl_translator.initialize() - propagate_state(m.fs.pump_to_ro) + propagate_state(treatment.translator_to_pump) + treatment.pump.initialize() - init_ro_system(m, m.fs.RO) - propagate_state(m.fs.ro_to_product) - propagate_state(m.fs.ro_to_disposal) + propagate_state(treatment.pump_to_ro) - m.fs.product.initialize() - m.fs.disposal.initialize() - display_system_stream_table(m) - m.fs.softener.unit.properties_waste[0].conc_mass_phase_comp + init_ro_system(m, treatment.RO) + propagate_state(treatment.ro_to_product) + propagate_state(treatment.ro_to_disposal) + + treatment.product.initialize() + init_DWI(m, treatment.DWI) def optimize( @@ -440,7 +465,7 @@ def optimize( objective="LCOW", ): print("\n\nDOF before optimization: ", degrees_of_freedom(m)) - + treatment = m.fs.treatment if objective == "LCOW": m.fs.lcow_objective = Objective(expr=m.fs.costing.LCOW) @@ -454,22 +479,34 @@ def optimize( if fixed_pressure is not None: print(f"\n------- Fixed RO Pump Pressure at {fixed_pressure} -------\n") - m.fs.pump.control_volume.properties_out[0].pressure.fix(fixed_pressure) + treatment.pump.control_volume.properties_out[0].pressure.fix(fixed_pressure) else: + lower_bound = 100 * pyunits.psi + upper_bound = 900 * pyunits.psi print(f"------- Unfixed RO Pump Pressure -------") - m.fs.pump.control_volume.properties_out[0].pressure.unfix() + print(f"Lower Bound: {value(lower_bound)} {pyunits.get_units(lower_bound)}") + print(f"Upper Bound: {value(upper_bound)} {pyunits.get_units(upper_bound)}") + treatment.pump.control_volume.properties_out[0].pressure.unfix() + treatment.pump.control_volume.properties_out[0].pressure.setlb(lower_bound) + treatment.pump.control_volume.properties_out[0].pressure.setub(upper_bound) if ro_mem_area is not None: print(f"\n------- Fixed RO Membrane Area at {ro_mem_area} -------\n") - for idx, stage in m.fs.RO.stage.items(): + for idx, stage in treatment.RO.stage.items(): stage.module.area.fix(ro_mem_area) else: - print(f"\n------- Unfixed RO Membrane Area -------\n") - for idx, stage in m.fs.RO.stage.items(): + lower_bound = 1e3 + upper_bound = 2e5 + print(f"\n------- Unfixed RO Membrane Area -------") + print(f"Lower Bound: {lower_bound} m2") + print(f"Upper Bound: {upper_bound} m2") + print("\n") + for idx, stage in treatment.RO.stage.items(): stage.module.area.unfix() + stage.module.area.setub(1e6) -def solve(model, solver=None, tee=False, raise_on_failure=False, debug=False): +def solve(model, solver=None, tee=False, raise_on_failure=True, debug=False): print(f"DEGREES OF FREEDOM BEFORE SOLVING: {degrees_of_freedom(model)}") # ---solving--- @@ -500,8 +537,6 @@ def solve(model, solver=None, tee=False, raise_on_failure=False, debug=False): if raise_on_failure: print("\n--------- INFEASIBLE SOLVE!!! ---------\n") - print("\n--------- CHECKING JACOBIAN ---------\n") - print("\n--------- CLOSE TO BOUNDS ---------\n") print_close_to_bounds(model) @@ -576,14 +611,8 @@ def display_system_stream_table(m): def display_system_build(m): blocks = [] - for unit in m.fs.component_data_objects( - ctype=Block, active=True, descend_into=False - ): - print(unit) - for component in unit.component_data_objects( - ctype=Block, active=True, descend_into=False - ): - print(" ", component) + for v in m.fs.component_data_objects(ctype=Block, active=True, descend_into=False): + print(v) def display_costing_breakdown(m): diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/softener.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/softener.py index 3d75b428..b3ccd271 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/softener.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/softener.py @@ -221,7 +221,7 @@ def set_softener_op_conditions( soft.removal_efficiency.fix() # ...then refix non important ones for comp in non_important_comps: - m.fs.softener.unit.removal_efficiency[comp].fix(non_important_removals) + soft.removal_efficiency[comp].fix(non_important_removals) prop_out = soft.properties_out[0.0] # prop_out.temperature.fix(293) @@ -239,19 +239,24 @@ def set_softener_op_conditions( soft.retention_time_sed.fix(120) soft.retention_time_recarb.fix(20) soft.frac_mass_water_recovery.fix(0.99) - soft.vel_gradient_mix.fix(300) - soft.vel_gradient_floc.fix(50) + # soft.removal_efficiency["SiO2"].fix(0) # soft.CO2_CaCO3.fix(0.10) + # soft.sedimentation_overflow.fix() + + soft.CO2_CaCO3.fix(0.063) + # # soft.excess_CaO.fix(0) # soft.CO2_second_basin.fix(0) # soft.Na2CO3_dosing.fix(0) soft.MgCl2_dosing.fix(0) + soft.vel_gradient_mix.fix(300) + soft.vel_gradient_floc.fix(50) print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - print(f"Softener Degrees of Freedom: {degrees_of_freedom(m.fs.softener.unit)}") + print(f"Softener Degrees of Freedom: {degrees_of_freedom(soft)}") # assert False @@ -308,7 +313,11 @@ def init_system(blk, solver=None): print("\n\n-------------------- INITIALIZING SYSTEM --------------------\n\n") print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") print(f"Softener Degrees of Freedom: {degrees_of_freedom(m.fs.softener)}") - # assert_no_degrees_of_freedom(m) + + if degrees_of_freedom(m) != 0: + breakdown_dof(m.fs.softener, detailed=True) + assert_no_degrees_of_freedom(m) + breakdown_dof(m.fs.softener, detailed=True) print("\n\n") m.fs.feed.initialize() @@ -338,8 +347,8 @@ def init_softener(m, blk, verbose=True, solver=None): "\n\n-------------------- INITIALIZING WATER SOFTENER --------------------\n\n" ) # assert_units_consistent(m) - print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - print(f"Softener Degrees of Freedom: {degrees_of_freedom(m.fs.softener)}") + # print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + # print(f"Softener Degrees of Freedom: {degrees_of_freedom(m.fs.softener)}") blk.initialize() # try: # blk.initialize() @@ -483,51 +492,89 @@ def print_softening_costing_breakdown(blk): f'{"Softening Operating Cost":<35s}{f"${blk.unit.costing.fixed_operating_cost():<25,.0f}"}' ) +def breakdown_dof(blk, detailed=False): + all_vars = [ + v for v in blk.component_data_objects(ctype=Var, active=True, descend_into=True) + ] + equalities = [c for c in activated_equalities_generator(blk)] + active_vars = variables_in_activated_equalities_set(blk) + fixed_active_vars = fixed_variables_in_activated_equalities_set(blk) + unfixed_active_vars = unfixed_variables_in_activated_equalities_set(blk) + print("\n ===============DOF Breakdown================\n") + print(f"Degrees of Freedom: {degrees_of_freedom(blk)}") + + if detailed: + # print(f"Activated Variables: ({len(active_vars)})") + # for v in active_vars: + # print(f" {v}") + # print(f"Activated Equalities: ({len(equalities)})") + # for c in equalities: + # print(f" {c}") + + print(f"Fixed Active Vars: ({len(fixed_active_vars)})") + for v in fixed_active_vars: + print(f" {v}") + + print(f"Unfixed Active Vars: ({len(unfixed_active_vars)})") + for v in unfixed_active_vars: + # subsystem = v.name.split(".")[1] + # if subsystem == "treatment": + # component = v.name.split(".")[2] + # if (component != "RO") and (component != "EC"): + # print(f" {v}") + print(f" {v}") + print("\n") + print(f" {f' Active Vars':<30s}{len(active_vars)}") + print(f"{'-'}{f' Fixed Active Vars':<30s}{len(fixed_active_vars)}") + print(f"{'-'}{f' Activated Equalities':<30s}{len(equalities)}") + print(f"{'='}{f' Degrees of Freedom':<30s}{degrees_of_freedom(blk)}") # calculate_variable_from_constraint if __name__ == "__main__": - from watertap_contrib.reflo.analysis.case_studies.KBHDP.utils.utils import check_jac + # from watertap_contrib.reflo.analysis.case_studies.KBHDP.utils.utils import check_jac file_dir = os.path.dirname(os.path.abspath(__file__)) m = build_system() soft = m.fs.softener.unit - soft.properties_out[0].conc_mass_phase_comp[...] - soft.sedimentation_overflow.fix() - soft.CO2_CaCO3.fix(0.063) - soft.ca_eff_target.fix(0.01) - soft.mg_eff_target.fix(0.01) + # soft.properties_out[0].conc_mass_phase_comp[...] + # # soft.sedimentation_overflow.fix() + # # soft.CO2_CaCO3.fix(0.063) + # soft.ca_eff_target.fix(0.01) + # soft.mg_eff_target.fix(0.01) set_system_operating_conditions(m) set_softener_op_conditions(m, m.fs.softener.unit) print(f"\n\n\n\n\nDOF = {degrees_of_freedom(m)}\n\n\n\n") - add_softener_costing(m, m.fs.softener) - m.fs.costing.cost_process() - m.fs.costing.initialize() + # add_softener_costing(m, m.fs.softener) + # m.fs.costing.cost_process() + # m.fs.costing.initialize() - m.fs.costing.add_LCOW(0.2 * m.fs.softener.unit.properties_in[0].flow_vol) - m.fs.obj = Objective(expr=m.fs.costing.LCOW) + # m.fs.costing.add_LCOW(0.2 * m.fs.softener.unit.properties_in[0].flow_vol) + # m.fs.obj = Objective(expr=m.fs.costing.LCOW) init_system(m) solve(m) - print_softening_costing_breakdown(m.fs.softener) - print(f'{"Softening LCOW":<35s}{f"${m.fs.costing.LCOW():<25,.2f}"}') - report_softener(m, m.fs.softener.unit) - # print(m.fs.costing.display()) - print( - f'{"Product Flow":<35s}{f"{value(pyunits.convert(m.fs.feed.properties[0].flow_vol, to_units=pyunits.m **3 * pyunits.yr ** -1)):<25,.1f}"}{"m3/yr":<25s}' - ) - print( - f'{"Total Capital Cost":<35s}{f"${m.fs.costing.total_capital_cost():<25,.0f}"}' - ) - print( - f'{"Total Operating Cost":<35s}{f"${m.fs.costing.total_operating_cost():<25,.0f}"}' - ) - for flow in m.fs.costing.aggregate_flow_costs: - print( - f'{f" Flow Cost [{flow}]":<35s}{f"${m.fs.costing.aggregate_flow_costs[flow]():<25,.3f}"}' - ) + print(m.fs.softener.display()) + + # print_softening_costing_breakdown(m.fs.softener) + # print(f'{"Softening LCOW":<35s}{f"${m.fs.costing.LCOW():<25,.2f}"}') + # report_softener(m, m.fs.softener.unit) + # # print(m.fs.costing.display()) + # print( + # f'{"Product Flow":<35s}{f"{value(pyunits.convert(m.fs.feed.properties[0].flow_vol, to_units=pyunits.m **3 * pyunits.yr ** -1)):<25,.1f}"}{"m3/yr":<25s}' + # ) + # print( + # f'{"Total Capital Cost":<35s}{f"${m.fs.costing.total_capital_cost():<25,.0f}"}' + # ) + # print( + # f'{"Total Operating Cost":<35s}{f"${m.fs.costing.total_operating_cost():<25,.0f}"}' + # ) + # for flow in m.fs.costing.aggregate_flow_costs: + # print( + # f'{f" Flow Cost [{flow}]":<35s}{f"${m.fs.costing.aggregate_flow_costs[flow]():<25,.3f}"}' + # ) # assert_units_consistent(soft) # print(pyunits.get_units(soft.Mg_CaCO3)) # assert False From a30ae4df806735e64e0680b3d458ecc17fba5364 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Fri, 13 Dec 2024 21:46:38 -0700 Subject: [PATCH 043/116] Refactor KBHDP_SOA.py: clean up commented code and improve formatting for better readability --- .../analysis/case_studies/KBHDP/KBHDP_SOA.py | 22 +++++++------------ 1 file changed, 8 insertions(+), 14 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py index 2a650d4e..46e820b6 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py @@ -72,23 +72,14 @@ def main(): file_dir = os.path.dirname(os.path.abspath(__file__)) m = build_system() - # display_system_build(m) add_connections(m) add_constraints(m) set_operating_conditions(m) apply_scaling(m) init_system(m) - # breakdown_dof(m, detailed=True) add_costing(m) - # display_system_build(m) optimize(m, ro_mem_area=None, water_recovery=0.6) solve(m, debug=True) - # display_system_stream_table(m) - # report_softener(m) - # report_UF(m, m.fs.UF) - # report_RO(m, m.fs.RO) - # display_costing_breakdown(m) - # print_all_results(m) def build_system(): @@ -152,7 +143,13 @@ def build_treatment(m): build_ro(m, treatment.RO, prop_package=m.fs.RO_properties, number_of_stages=2) build_DWI(m, treatment.DWI, prop_package=m.fs.RO_properties) - m.fs.units = [treatment.softener, treatment.UF, treatment.pump, treatment.RO, treatment.DWI] + m.fs.units = [ + treatment.softener, + treatment.UF, + treatment.pump, + treatment.RO, + treatment.DWI, + ] m.fs.MCAS_properties.set_default_scaling( "flow_mass_phase_comp", 10**-1, index=("Liq", "H2O") @@ -266,11 +263,8 @@ def add_constraints(m): def apply_scaling(m): treatment = m.fs.treatment - # add_ec_scaling(m, m.fs.treatment.EC) add_UF_scaling(treatment.UF) add_ro_scaling(m, treatment.RO) - # # if m.fs.RE: - # add_pv_scaling(m, m.fs.energy.pv) calculate_scaling_factors(m) @@ -434,7 +428,7 @@ def init_treatment(m, verbose=True, solver=None): propagate_state(treatment.softener_to_translator) propagate_state(treatment.softener_to_sludge) treatment.sludge.initialize() - + treatment.MCAS_to_TDS_translator.initialize() propagate_state(treatment.translator_to_UF) init_UF(m, treatment.UF) From 84e4e6d300978827f2bfe16ce34379e5d077d605 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Fri, 13 Dec 2024 21:46:58 -0700 Subject: [PATCH 044/116] black --- .../reflo/analysis/case_studies/KBHDP/components/softener.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/softener.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/softener.py index b3ccd271..296b3c02 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/softener.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/softener.py @@ -239,7 +239,6 @@ def set_softener_op_conditions( soft.retention_time_sed.fix(120) soft.retention_time_recarb.fix(20) soft.frac_mass_water_recovery.fix(0.99) - # soft.removal_efficiency["SiO2"].fix(0) # soft.CO2_CaCO3.fix(0.10) @@ -492,6 +491,7 @@ def print_softening_costing_breakdown(blk): f'{"Softening Operating Cost":<35s}{f"${blk.unit.costing.fixed_operating_cost():<25,.0f}"}' ) + def breakdown_dof(blk, detailed=False): all_vars = [ v for v in blk.component_data_objects(ctype=Var, active=True, descend_into=True) @@ -529,6 +529,7 @@ def breakdown_dof(blk, detailed=False): print(f"{'-'}{f' Activated Equalities':<30s}{len(equalities)}") print(f"{'='}{f' Degrees of Freedom':<30s}{degrees_of_freedom(blk)}") + # calculate_variable_from_constraint if __name__ == "__main__": # from watertap_contrib.reflo.analysis.case_studies.KBHDP.utils.utils import check_jac From 1af5a5f6e611a9bda3110ebb3cabd1cd2b889afd Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Sun, 15 Dec 2024 16:44:09 -0700 Subject: [PATCH 045/116] black --- .../reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py index 0aa6a2ad..46e820b6 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py @@ -667,4 +667,4 @@ def print_all_results(m): if __name__ == "__main__": - main() \ No newline at end of file + main() From 5c21eee1fe2f6f075140ec93f79b9262c5525f91 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 16 Dec 2024 09:58:56 -0700 Subject: [PATCH 046/116] comment flux_vol_phase_avg --- .../case_studies/KBHDP/components/ro_system.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py index c8672324..273fa10d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py @@ -326,9 +326,9 @@ def init_ro_system(m, blk, verbose=True, solver=None): print( f'RO Recovery: {100 * (value(blk.product.properties[0].flow_mass_phase_comp["Liq", "H2O"]) / value(blk.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"])):<5.2f}%' ) - print( - f'{"Average Flux":<30s}{value(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"]):<10.2f}{pyunits.get_units(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"])}' - ) + # print( + # f'{"Average Flux":<30s}{value(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"]):<10.2f}{pyunits.get_units(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"])}' + # ) def init_ro_stage(m, stage, solver=None): @@ -579,8 +579,8 @@ def set_ro_system_operating_conditions(m, blk, mem_area=100, RO_pressure=15e5): stage.module.feed_side.channel_height.fix(height) stage.module.feed_side.spacer_porosity.fix(spacer_porosity) - stage.module.flux_vol_phase_avg[0, "Liq"].setlb(5) - stage.module.flux_vol_phase_avg[0, "Liq"].setub(60) + # stage.module.flux_vol_phase_avg[0, "Liq"].setlb(5) + # stage.module.flux_vol_phase_avg[0, "Liq"].setub(60) for e in stage.module.flux_mass_phase_comp: if e[-1] == "H2O": @@ -732,9 +732,9 @@ def report_RO(m, blk): f'{"RO Operating Pressure":<30s}{value(pyunits.convert(blk.feed.properties[0].pressure, to_units=pyunits.bar)):<10.1f}{"bar"}' ) print(f'{"RO Membrane Area":<30s}{value(blk.stage[1].module.area):<10.1f}{"m^2"}') - print( - f'{"Average Flux":<30s}{value(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"]):<10.2f}{pyunits.get_units(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"])}' - ) + # print( + # f'{"Average Flux":<30s}{value(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"]):<10.2f}{pyunits.get_units(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"])}' + # ) print(blk.stage[1].module.report()) From 47e55787ec00e73013d3fc7a167941aa44a423aa Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 10:12:22 -0700 Subject: [PATCH 047/116] Refactor ro_system.py: comment out unused print statements for clarity --- .../case_studies/KBHDP/components/ro_system.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py index c8672324..273fa10d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py @@ -326,9 +326,9 @@ def init_ro_system(m, blk, verbose=True, solver=None): print( f'RO Recovery: {100 * (value(blk.product.properties[0].flow_mass_phase_comp["Liq", "H2O"]) / value(blk.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"])):<5.2f}%' ) - print( - f'{"Average Flux":<30s}{value(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"]):<10.2f}{pyunits.get_units(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"])}' - ) + # print( + # f'{"Average Flux":<30s}{value(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"]):<10.2f}{pyunits.get_units(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"])}' + # ) def init_ro_stage(m, stage, solver=None): @@ -579,8 +579,8 @@ def set_ro_system_operating_conditions(m, blk, mem_area=100, RO_pressure=15e5): stage.module.feed_side.channel_height.fix(height) stage.module.feed_side.spacer_porosity.fix(spacer_porosity) - stage.module.flux_vol_phase_avg[0, "Liq"].setlb(5) - stage.module.flux_vol_phase_avg[0, "Liq"].setub(60) + # stage.module.flux_vol_phase_avg[0, "Liq"].setlb(5) + # stage.module.flux_vol_phase_avg[0, "Liq"].setub(60) for e in stage.module.flux_mass_phase_comp: if e[-1] == "H2O": @@ -732,9 +732,9 @@ def report_RO(m, blk): f'{"RO Operating Pressure":<30s}{value(pyunits.convert(blk.feed.properties[0].pressure, to_units=pyunits.bar)):<10.1f}{"bar"}' ) print(f'{"RO Membrane Area":<30s}{value(blk.stage[1].module.area):<10.1f}{"m^2"}') - print( - f'{"Average Flux":<30s}{value(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"]):<10.2f}{pyunits.get_units(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"])}' - ) + # print( + # f'{"Average Flux":<30s}{value(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"]):<10.2f}{pyunits.get_units(blk.stage[1].module.flux_vol_phase_avg[0, "Liq"])}' + # ) print(blk.stage[1].module.report()) From e5aef81f72668366523d0ddd372310be40bea4dd Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 16 Dec 2024 11:32:57 -0700 Subject: [PATCH 048/116] black --- .../reflo/analysis/case_studies/KBHDP/components/FPC.py | 2 +- .../reflo/analysis/case_studies/KBHDP/components/MD.py | 2 +- .../case_studies/KBHDP/components/deep_well_injection.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 3ef9bef9..983013aa 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -339,4 +339,4 @@ def solve(m, solver=None, tee=True, raise_on_failure=True, debug=False): # # print(degrees_of_freedom(m)) # report_fpc(m) # print(m.fs.energy.FPC.costing.display()) - # print_FPC_costing_breakdown(m, m.fs.energy.FPC) \ No newline at end of file + # print_FPC_costing_breakdown(m, m.fs.energy.FPC) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 4d26576b..194ba71f 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -809,4 +809,4 @@ def report_md_costing(m, blk): print(f"System Var Recovery: {value(m.fs.water_recovery):<10.2f}") print( f'Calculated Recovery: {value(m.fs.md.permeate.properties[0].flow_vol_phase["Liq"] / (m.fs.md.permeate.properties[0].flow_vol_phase["Liq"] + m.fs.md.concentrate.properties[0].flow_vol_phase["Liq"])):<10.2f}' - ) \ No newline at end of file + ) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py index f2493dee..5ab0c7bb 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py @@ -245,4 +245,4 @@ def breakdown_dof(blk): m = build_system() set_system_op_conditions(m.fs.DWI) - init_DWI(m, m.fs.DWI) \ No newline at end of file + init_DWI(m, m.fs.DWI) From cf1b1bf156d77d0ca04c7f56ed3b25b68b70331d Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 11:47:44 -0700 Subject: [PATCH 049/116] Update figure_device_groups and PV component: correct unit paths and refactor file handling --- .../case_studies/KBHDP/components/PV.py | 39 ++- .../KBHDP/utils/costing_figures.py | 254 ++---------------- .../KBHDP/utils/figure_device_groups.py | 6 +- 3 files changed, 55 insertions(+), 244 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py index 3a0f82ec..5ce2360a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py @@ -1,3 +1,4 @@ +import os from pyomo.environ import ( ConcreteModel, value, @@ -46,9 +47,27 @@ def build_system(): def build_pv(m): energy = m.fs.energy + parent_dir = os.path.abspath( + os.path.join(os.path.abspath(__file__), "..", "..", "..", "..", "..") + ) + + surrogate_dir = os.path.join( + parent_dir, + "solar_models", + "surrogate", + "pv", + ) + + dataset_filename = os.path.join(surrogate_dir,'data', "dataset.pkl") + + surrogate_filename = os.path.join( + surrogate_dir, + "pv_surrogate.json", + ) + energy.pv = PVSurrogate( - surrogate_model_file="/Users/zbinger/watertap-reflo/src/watertap_contrib/reflo/solar_models/surrogate/pv/pv_surrogate.json", - dataset_filename="/Users/zbinger/watertap-reflo/src/watertap_contrib/reflo/solar_models/surrogate/pv/data/dataset.pkl", + surrogate_model_file=surrogate_filename, + dataset_filename=dataset_filename, input_variables={ "labels": ["design_size"], "bounds": {"design_size": [1, 200000]}, @@ -262,11 +281,11 @@ def solve(m, solver=None, tee=True, raise_on_failure=True, debug=False): if __name__ == "__main__": m = build_system() build_pv(m) - set_pv_constraints(m, focus="Energy") - solve(m, debug=True) - add_pv_costing(m, m.fs.energy.pv) - add_pv_scaling(m, m.fs.energy.pv) - iscale.calculate_scaling_factors(m) - initialize(m) - solve(m, debug=True) - print(m.fs.energy.pv.display()) + # set_pv_constraints(m, focus="Energy") + # solve(m, debug=True) + # add_pv_costing(m, m.fs.energy.pv) + # add_pv_scaling(m, m.fs.energy.pv) + # iscale.calculate_scaling_factors(m) + # initialize(m) + # solve(m, debug=True) + # print(m.fs.energy.pv.display()) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py index c71ee55b..5c6aa5fc 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py @@ -30,211 +30,6 @@ sweep_yaml_dir = os.path.join(os.path.dirname(parent_dir), "sweep_yamls") sweep_results_dir = os.path.join(os.path.dirname(parent_dir), "sweep_results", "output") -# def create_sweep_cost_breakdown( -# sweep_file=None, x_data=None, save_name=None, xrange=None -# ): -# if sweep_file is None: -# RuntimeError("Please provide a sweep file") -# # if device_groups is None: -# # RuntimeError("Please provide device groups") -# if save_name is None: -# RuntimeError("Please provide a save name") - -# filepath = os.path.abspath(__file__) -# parent_dir = os.path.dirname(filepath) -# top_level_dir = os.path.dirname(parent_dir) -# save_path = os.path.join(top_level_dir, "figures") -# data_path = os.path.join(top_level_dir, "sweep_results/output/") - -# """ import data""" -# costing_data = psDataManager( -# os.path.join( -# data_path, -# sweep_file, -# ) -# ) - -# """ here we define the costing groups, these should be either units on the block -# another example is in bgw_ref/costing_plotting_trains_rkt.py that shows different ways to isolate units for cost plotting -# or explicit keys that point to capex or opex for each units. -# IF you provide exact keys only they will be used (If you duplicate a key it will be used twice!)""" -# device_groups = { -# "Heat": { -# "OPEX": { -# "units": { -# "fs.costing.total_heat_operating_cost", -# # "fs.costing.aggregate_flow_electricity_sold" -# }, -# }, -# }, -# "Electricity": { -# "OPEX": { -# "units": { -# "fs.costing.aggregate_flow_electricity_purchased", -# # "fs.costing.aggregate_flow_electricity_sold" -# }, -# }, -# }, -# "Injection": { -# "OPEX": { -# "units": {"fs.treatment.DWI.unit.costing.variable_operating_cost"}, -# }, -# }, -# "Pumps": { -# "CAPEX": { -# "units": {"fs.treatment.pump.costing.capital_cost"}, -# }, -# }, -# "PV": { -# "CAPEX": { -# "units": {"fs.energy.pv.costing.capital_cost"}, -# }, -# "OPEX": { -# "units": { -# "fs.energy.pv.costing.fixed_operating_cost", -# } -# }, -# }, -# "FPC": { -# "CAPEX": { -# "units": {"fs.energy.FPC.costing.capital_cost"}, -# }, -# "OPEX": { -# "units": { -# "fs.energy.FPC.costing.fixed_operating_cost", -# } -# }, -# }, -# "RO": { -# "CAPEX": { -# "units": { -# "fs.treatment.RO.stage[1].module.costing.capital_cost", -# } -# }, -# "OPEX": { -# "units": { -# "fs.treatment.RO.stage[1].module.costing.fixed_operating_cost", -# } -# }, -# }, -# "UF": { -# "CAPEX": { -# "units": { -# "fs.treatment.UF.unit.costing.capital_cost", -# }, -# }, -# }, -# # "EC": { -# # "CAPEX": { -# # "units": { -# # "fs.treatment.EC.ec.costing.capital_cost", -# # }, -# # }, -# # "OPEX": { -# # "units": { -# # "fs.treatment.EC.ec.costing.fixed_operating_cost", -# # "fs.treatment.costing.aggregate_flow_costs[aluminum]", -# # }, -# # }, -# # }, -# "LTMED": { -# "CAPEX": { -# "units": { -# "fs.treatment.LTMED.unit.costing.capital_cost", -# }, -# }, -# "OPEX": { -# "units": { -# "fs.treatment.LTMED.unit.costing.fixed_operating_cost", -# }, -# }, -# }, -# } - -# costing_data.load_data( -# [ -# { -# "filekey": "fs.costing.frac_heat_from_grid", -# "return_key": "Grid Frac Heat", -# "units": "%", -# }, -# { -# "filekey": "fs.costing.heat_cost_buy", -# "return_key": "Heat Cost", -# "units": "USD/kWh", -# }, -# { -# "filekey": "fs.energy.costing.flat_plate.fixed_operating_by_capacity", -# "return_key": "FPC Cost", -# "units": "USD/a/kW", -# }, -# { -# "filekey": "fs.water_recovery", -# "return_key": "Water Recovery", -# "units": "%", -# }, -# { -# "filekey": "fs.treatment.costing.deep_well_injection.dwi_lcow", -# "return_key": "Disposal Cost", -# "units": "USD_2021/m**3", -# }, -# ], -# ) - -# """ define the base costing block and flow (This is used to normalize LCOW) -# the costing block is used to pull out default values for cost of -# electricity, costing factors (TIC etc) and deice costs if applicable, so in theory if you have multiple costing -# blocks they should all share same factors, so it matters not which one you pick -# The CAPEX and OPEX will be aggregated from keys in supplied costing groups, the -# capital and opex costs that are attached to the costing packages will not be used! -# """ -# costing_data.get_costing( -# device_groups, -# costing_block="fs.costing", -# default_flow="fs.treatment.product.properties[0.0].flow_vol_phase[Liq]", -# ) -# """ note how you have access to total and levelized cost. You can plot either one""" -# costing_data.display() - -# """lets plot our data""" -# cost_plotter = breakDownPlotter( -# costing_data, -# save_location=save_path, -# save_name=save_name, -# ) -# print(cost_plotter) -# """ define the costing groups, this will be order they are plotted in""" -# cost_plotter.define_area_groups( -# [ -# "Heat", -# "Electricity", -# "Injection", -# "FPC", -# "UF", -# "Pumps", -# "RO", -# "LTMED", -# ] -# ) -# """ define if you want to plot specific groups, for example CAPEX, OPEX or TOTAl isstead""" -# cost_plotter.define_hatch_groups({"CAPEX": {"hatch": ""}, "OPEX": {"hatch": "//"}}) -# cost_plotter.plotbreakdown( -# xdata=x_data, -# ydata=[ -# "cost_breakdown", -# "levelized", -# ], # remove "levelized to plot absolute capex/opex -# axis_options={ -# "yticks": [0, 1, 2, 3, 4, 5, 6], # adjust as needed -# # "yticks": [0, 0.25 ,0.5], # adjust as needed -# "xticks": costing_data[costing_data.directory_keys[0], x_data].data, -# }, -# legend_loc="upper right", -# generate_figure=True, -# ) - -# return costing_data, device_groups, cost_plotter - def create_sweep_cost_breakdown( costing_data, device_groups=None, save_name=None, xrange=None @@ -244,6 +39,11 @@ def create_sweep_cost_breakdown( or explicit keys that point to capex or opex for each units. IF you provide exact keys only they will be used (If you duplicate a key it will be used twice!) """ + filepath = os.path.abspath(__file__) + util_dir = os.path.dirname(filepath) + parent_dir = os.path.dirname(util_dir) + save_path = os.path.join(parent_dir,'figures') + if device_groups == None: device_groups = { "Heat": { @@ -316,7 +116,7 @@ def create_sweep_cost_breakdown( }, ], ) - + print(costing_data.directory_keys) x_var = costing_data.psDataImportInstances[0].file_index[ costing_data.directory_keys[0] ]["sweep_params"]["data_keys"][0] @@ -328,18 +128,11 @@ def create_sweep_cost_breakdown( The CAPEX and OPEX will be aggregated from keys in supplied costing groups, the capital and opex costs that are attached to the costing packages will not be used! """ - try: - costing_data.get_costing( - device_groups, - costing_block="fs.costing", - default_flow="fs.treatment.product.properties[0.0].flow_vol_phase[Liq]", - ) - except: - costing_data.get_costing( - device_groups, - costing_block="fs.costing", - default_flow="fs.product.properties[0.0].flow_vol_phase[Liq]", - ) + costing_data.get_costing( + device_groups, + costing_block="fs.costing", + default_flow="fs.treatment.product.properties[0.0].flow_vol_phase[Liq]", + ) """ note how you have access to total and levelized cost. You can plot either one""" costing_data.display() @@ -347,30 +140,29 @@ def create_sweep_cost_breakdown( """lets plot our data""" cost_plotter = breakDownPlotter( costing_data, - save_name=save_name, + save_location=save_path, + save_name=save_name+"_"+x_var, ) - print(cost_plotter) + print(save_name+"_"+x_var) + """ define the costing groups, this will be order they are plotted in""" + ## This is why the rest of the device groups aren't showing up cost_plotter.define_area_groups( - [ - "Heat", - "Electricity", - "Injection", - "FPC", - "UF", - "Pumps", - "RO", - "LTMED", - ] + list(device_groups.keys()) ) """ define if you want to plot specific groups, for example CAPEX, OPEX or TOTAl isstead""" cost_plotter.define_hatch_groups({"CAPEX": {"hatch": ""}, "OPEX": {"hatch": "//"}}) + # print(list(device_groups.keys())) + # assert False y_max = ( np.array(costing_data[costing_data.directory_keys[0], "LCOW"].data) .max() .round() ) + print(np.array(costing_data[costing_data.directory_keys[0], "LCOW"].data)) + print(y_max) + assert False if np.isnan(y_max): print("No figure generated\nLCOW returned NaN\nMoving on to next figure") else: @@ -403,7 +195,7 @@ def create_case_figures(case_name=None, sweep_file=None, device_groups=None): if file_id[:3] == case_id[:3]: costing_data = psDataManager(os.path.join(sweep_results_dir, file)) create_sweep_cost_breakdown( - costing_data, device_groups=device_groups + costing_data, device_groups=device_groups, save_name=case_name ) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py index 9f59b1d7..8fa40e74 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py @@ -18,18 +18,18 @@ }, "Injection": { "OPEX": { - "units": {"fs.DWI.unit.costing.variable_operating_cost"}, + "units": {"fs.treatment.DWI.unit.costing.variable_operating_cost"}, }, }, "Pumps": { "CAPEX": { - "units": {"fs.pump.costing.capital_cost"}, + "units": {"fs.treatment.pump.costing.capital_cost"}, }, }, "UF": { "CAPEX": { "units": { - "fs.UF.unit.costing.capital_cost", + "fs.treatment.UF.unit.costing.capital_cost", }, }, }, From d49e397e0be6c6ab66ee18a2643ba246a7dbf975 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 11:48:18 -0700 Subject: [PATCH 050/116] Update figure_device_groups and PV component: correct unit paths and refactor file handling --- .../analysis/case_studies/KBHDP/KBHDP_RPT_1.py | 1 - .../analysis/case_studies/KBHDP/KBHDP_RPT_2.py | 1 - .../reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py | 14 ++++++++++++-- .../reflo/analysis/case_studies/KBHDP/KBHDP_ZLD.py | 1 - .../analysis/case_studies/KBHDP/components/EC.py | 1 - 5 files changed, 12 insertions(+), 6 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py index 4e0ad23b..cd0c1ef5 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py @@ -323,7 +323,6 @@ def add_costing(m): add_energy_costing(m) m.fs.costing = REFLOSystemCosting() - m.fs.costing.base_currency = pyunits.USD_2020 m.fs.costing.cost_process() m.fs.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py index 193da8c9..97f3f5e5 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py @@ -313,7 +313,6 @@ def add_costing(m): add_energy_costing(m) m.fs.costing = REFLOSystemCosting() - # m.fs.costing.base_currency = pyunits.USD_2020 m.fs.costing.cost_process() m.fs.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py index 46e820b6..382e60b1 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py @@ -41,6 +41,7 @@ TreatmentCosting, EnergyCosting, REFLOCosting, + REFLOSystemCosting, ) from watertap_contrib.reflo.analysis.case_studies.KBHDP import * @@ -81,6 +82,10 @@ def main(): optimize(m, ro_mem_area=None, water_recovery=0.6) solve(m, debug=True) + print(m.fs.treatment.product.display()) + print(m.fs.treatment.product.properties[0].flow_vol_phase.display()) + print(m.fs.costing.LCOW.display()) + def build_system(): m = ConcreteModel() @@ -271,6 +276,8 @@ def apply_scaling(m): def add_costing(m): treatment = m.fs.treatment treatment.costing = TreatmentCosting() + energy = m.fs.energy = Block() + energy.costing = EnergyCosting() treatment.pump.costing = UnitModelCostingBlock( flowsheet_costing_block=treatment.costing, @@ -284,11 +291,14 @@ def add_costing(m): treatment.costing.cost_process() treatment.costing.initialize() - m.fs.costing = REFLOCosting() + energy.costing.cost_process() + energy.costing.initialize() + + m.fs.costing = REFLOSystemCosting() m.fs.costing.cost_process() m.fs.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) - m.fs.costing.add_LCOW(treatment.product.properties[0].flow_vol) + m.fs.costing.add_LCOW(treatment.product.properties[0].flow_vol_phase['Liq']) m.fs.costing.initialize() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_ZLD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_ZLD.py index cb299954..a4bd21ea 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_ZLD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_ZLD.py @@ -310,7 +310,6 @@ def add_costing(m): add_energy_costing(m) m.fs.costing = REFLOSystemCosting() - m.fs.costing.base_currency = pyunits.USD_2020 m.fs.costing.cost_process() m.fs.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/EC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/EC.py index f0393c4d..978e9a57 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/EC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/EC.py @@ -283,7 +283,6 @@ def init_ec(m, blk, solver=None): def add_system_costing(m): """Add system level costing components""" m.fs.costing = ZeroOrderCosting() - m.fs.costing.base_currency = pyunits.USD_2022 add_ec_costing(m, m.fs.EC) calc_costing(m, m.fs.EC) From 9b554bbfc970c209d99945770568b7d201393163 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 14:28:42 -0700 Subject: [PATCH 051/116] Refactor costing implementation in KBHDP_SOA: update treatment costing references and enhance costing calculations --- .../analysis/case_studies/KBHDP/KBHDP_SOA.py | 35 ++++++++----- .../KBHDP/sweep_yamls/KBHDP_SOA_1.yaml | 2 +- .../KBHDP/utils/costing_figures.py | 51 +++++++++++++------ .../KBHDP/utils/figure_device_groups.py | 38 ++++++++++++++ 4 files changed, 96 insertions(+), 30 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py index 382e60b1..ca5d6e3c 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py @@ -84,7 +84,8 @@ def main(): print(m.fs.treatment.product.display()) print(m.fs.treatment.product.properties[0].flow_vol_phase.display()) - print(m.fs.costing.LCOW.display()) + print(m.fs.treatment.costing.display()) + print(m.fs.treatment.costing.LCOW.display()) def build_system(): @@ -275,9 +276,11 @@ def apply_scaling(m): def add_costing(m): treatment = m.fs.treatment - treatment.costing = TreatmentCosting() - energy = m.fs.energy = Block() - energy.costing = EnergyCosting() + # treatment.costing = TreatmentCosting() + treatment.costing = REFLOCosting() + + # energy = m.fs.energy = Block() + # energy.costing = EnergyCosting() treatment.pump.costing = UnitModelCostingBlock( flowsheet_costing_block=treatment.costing, @@ -288,19 +291,23 @@ def add_costing(m): add_ro_costing(m, treatment.RO, treatment.costing) add_DWI_costing(m, treatment.DWI, treatment.costing) - treatment.costing.cost_process() - treatment.costing.initialize() + # treatment.costing.cost_process() + # treatment.costing.initialize() + + # energy.costing.cost_process() + # energy.costing.initialize() - energy.costing.cost_process() - energy.costing.initialize() + # m.fs.costing = REFLOCosting() + # m.fs.costing.cost_process() - m.fs.costing = REFLOSystemCosting() - m.fs.costing.cost_process() + treatment.costing.cost_process() + + treatment.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) + treatment.costing.add_LCOW(treatment.product.properties[0].flow_vol_phase['Liq']) - m.fs.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) - m.fs.costing.add_LCOW(treatment.product.properties[0].flow_vol_phase['Liq']) + # m.fs.costing.initialize() + treatment.costing.initialize() - m.fs.costing.initialize() def define_inlet_composition(m): @@ -471,7 +478,7 @@ def optimize( print("\n\nDOF before optimization: ", degrees_of_freedom(m)) treatment = m.fs.treatment if objective == "LCOW": - m.fs.lcow_objective = Objective(expr=m.fs.costing.LCOW) + m.fs.lcow_objective = Objective(expr=treatment.costing.LCOW) if water_recovery is not None: print(f"\n------- Fixed Recovery at {100*water_recovery}% -------") diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml index a576c762..82f1e7e8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml @@ -10,7 +10,7 @@ KBHDP_RPT_1_disposal_cost_sweep: sweep_param_loop: water_recovery: type: LinearSample - param: fs.costing.deep_well_injection.dwi_lcow + param: fs.treatment.costing.deep_well_injection.dwi_lcow lower_limit: 0.05 upper_limit: 0.1 num_samples: 6 \ No newline at end of file diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py index 5c6aa5fc..38a874ae 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py @@ -71,7 +71,7 @@ def create_sweep_cost_breakdown( }, { "filekey": "fs.costing.heat_cost_buy", - "return_key": "Heat Cost", + "return_key": "fs.costing.heat_cost_buy", # "units": "USD/kWh", }, { @@ -128,11 +128,18 @@ def create_sweep_cost_breakdown( The CAPEX and OPEX will be aggregated from keys in supplied costing groups, the capital and opex costs that are attached to the costing packages will not be used! """ - costing_data.get_costing( - device_groups, - costing_block="fs.costing", - default_flow="fs.treatment.product.properties[0.0].flow_vol_phase[Liq]", - ) + if save_name is "KBHDP_SOA_1": + costing_data.get_costing( + device_groups, + costing_block="fs.treatment.costing", + default_flow="fs.treatment.product.properties[0.0].flow_vol_phase[Liq]", + ) + else: + costing_data.get_costing( + device_groups, + costing_block="fs.costing", + default_flow="fs.treatment.product.properties[0.0].flow_vol_phase[Liq]", + ) """ note how you have access to total and levelized cost. You can plot either one""" costing_data.display() @@ -156,15 +163,28 @@ def create_sweep_cost_breakdown( # print(list(device_groups.keys())) # assert False y_max = ( - np.array(costing_data[costing_data.directory_keys[0], "LCOW"].data) - .max() - .round() + np.ceil(np.array(costing_data[costing_data.directory_keys[0], "LCOW"].data).max()) ) print(np.array(costing_data[costing_data.directory_keys[0], "LCOW"].data)) - print(y_max) - assert False + print(f'Y Max {y_max}') + # assert False if np.isnan(y_max): print("No figure generated\nLCOW returned NaN\nMoving on to next figure") + y_axis_lims = np.linspace(0, y_max, 5) + cost_plotter.plotbreakdown( + xdata=x_var, + ydata=[ + "cost_breakdown", + "levelized", + ], + axis_options={ + "yticks": np.linspace(0, 1, 5), + # "yticks": [0, 0.25 ,0.5], # adjust as needed + "xticks": costing_data[costing_data.directory_keys[0], x_var].data, + }, + legend_loc="upper right", + generate_figure=True, + ) else: y_axis_lims = np.linspace(0, y_max, 5) cost_plotter.plotbreakdown( @@ -193,6 +213,7 @@ def create_case_figures(case_name=None, sweep_file=None, device_groups=None): file_id = file.split("_") case_id = case_name.split("_") if file_id[:3] == case_id[:3]: + print(f'\n\nCreating Figures for {file} sweep\n\n') costing_data = psDataManager(os.path.join(sweep_results_dir, file)) create_sweep_cost_breakdown( costing_data, device_groups=device_groups, save_name=case_name @@ -200,12 +221,12 @@ def create_case_figures(case_name=None, sweep_file=None, device_groups=None): def create_all_figures(): - create_case_figures( - case_name="KBHDP_SOA_1", device_groups=figure_device_groups["KBHDP_SOA_1"] - ) # create_case_figures( - # case_name="KBHDP_RPT_1", device_groups=figure_device_groups["KBHDP_RPT_1"] + # case_name="KBHDP_SOA_1", device_groups=figure_device_groups["KBHDP_SOA_1"] # ) + create_case_figures( + case_name="KBHDP_RPT_1", device_groups=figure_device_groups["KBHDP_RPT_1"] + ) # create_case_figures( # case_name="KBHDP_RPT_2", device_groups=figure_device_groups["KBHDP_RPT_2"] # ) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py index 8fa40e74..64fa8b3e 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py @@ -16,6 +16,16 @@ }, }, }, + "Chemicals": { + "OPEX": { + "units": { + "fs.treatment.costing.aggregate_flow_costs[lime]", + "fs.treatment.costing.aggregate_flow_costs[mgcl2]", + "fs.treatment.costing.aggregate_flow_costs[soda_ash]", + "fs.treatment.costing.aggregate_flow_costs[co2]", + }, + }, + }, "Injection": { "OPEX": { "units": {"fs.treatment.DWI.unit.costing.variable_operating_cost"}, @@ -33,6 +43,32 @@ }, }, }, + "RO": { + "CAPEX": { + "units": { + "fs.treatment.RO.stage[1].module.costing.capital_cost", + "fs.treatment.RO.stage[2].module.costing.capital_cost", + } + }, + "OPEX": { + "units": { + "fs.treatment.RO.stage[1].module.costing.fixed_operating_cost", + "fs.treatment.RO.stage[2].module.costing.fixed_operating_cost", + } + }, + }, + "Softening": { + "CAPEX": { + "units": { + "fs.treatment.softener.unit.costing.capital_cost", + } + }, + "OPEX": { + "units": { + "fs.treatment.softener.unit.costing.fixed_operating_cost", + } + }, + }, }, "KBHDP_RPT_1": { "Heat": { @@ -88,11 +124,13 @@ "CAPEX": { "units": { "fs.treatment.RO.stage[1].module.costing.capital_cost", + "fs.treatment.RO.stage[2].module.costing.capital_cost", } }, "OPEX": { "units": { "fs.treatment.RO.stage[1].module.costing.fixed_operating_cost", + "fs.treatment.RO.stage[2].module.costing.fixed_operating_cost", } }, }, From 6aef177c932925537d16b2d580ff0adeb622908a Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 14:29:25 -0700 Subject: [PATCH 052/116] Refactor costing implementation in KBHDP_SOA: update treatment costing references and enhance costing calculations --- .../analysis/case_studies/KBHDP/KBHDP_RPT_1.py | 16 +++++++++++++++- .../case_studies/KBHDP/components/FPC.py | 2 +- .../case_studies/KBHDP/components/ro_system.py | 6 ++++-- 3 files changed, 20 insertions(+), 4 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py index cd0c1ef5..f9239b17 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py @@ -68,7 +68,7 @@ def main(): # box_solve_problem(m) # solve(m, debug=True) # scale_costing(m) - optimize(m, ro_mem_area=None, water_recovery=0.8, grid_frac=None, objective="LCOW") + optimize(m, ro_mem_area=None, water_recovery=0.5, grid_frac=None, objective="LCOW") solve(m, debug=False) # # display_flow_table(m) # display_system_stream_table(m) @@ -311,6 +311,7 @@ def add_energy_costing(m): ) energy.costing.cost_process() + energy.costing.add_LCOE() energy.costing.initialize() @@ -668,6 +669,19 @@ def optimize( m.fs.energy.pv.design_size.unfix() m.fs.energy.pv.annual_energy.unfix() + for idx, stage in treatment.RO.stage.items(): + stage.module.width.setub(5000) + stage.module.feed_side.velocity[0, 0].unfix() + stage.module.feed_side.velocity[0, 1].setlb(0.0) + stage.module.feed_side.K.setlb(1e-6) + stage.module.feed_side.friction_factor_darcy.setub(50) + stage.module.flux_mass_phase_comp.setub(1) + # stage.module.flux_mass_phase_comp.setlb(1e-5) + stage.module.feed_side.cp_modulus.setub(10) + stage.module.rejection_phase_comp.setlb(1e-4) + stage.module.feed_side.N_Re.setlb(1) + stage.module.recovery_mass_phase_comp.setlb(1e-7) + def report_MCAS_stream_conc(m, stream): solute_set = m.fs.MCAS_properties.solute_set diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 983013aa..9e4106b4 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -123,7 +123,7 @@ def set_fpc_op_conditions(m, hours_storage=6, temperature_hot=80): energy.FPC.temperature_hot.fix(temperature_hot) # Assumes the cold temperature from the outlet temperature of a 'MD HX' energy.FPC.temperature_cold.set_value(20) - energy.FPC.heat_load.fix(1) + energy.FPC.heat_load.fix(10) energy.FPC.initialize() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py index 273fa10d..b85b8170 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py @@ -571,9 +571,9 @@ def set_ro_system_operating_conditions(m, blk, mem_area=100, RO_pressure=15e5): stage.module.A_comp.fix(mem_A) stage.module.B_comp.fix(mem_B) stage.module.area.fix(area / idx) - stage.module.feed_side.velocity[0, 0].fix(0.25) + stage.module.feed_side.velocity[0, 0].fix(0.35) # stage.module.length.fix(length) - # stage.module.width.setub(20000) + stage.module.width.setub(20000) stage.module.mixed_permeate[0].pressure.fix(pressure_atm) stage.module.feed_side.channel_height.fix(height) @@ -582,6 +582,8 @@ def set_ro_system_operating_conditions(m, blk, mem_area=100, RO_pressure=15e5): # stage.module.flux_vol_phase_avg[0, "Liq"].setlb(5) # stage.module.flux_vol_phase_avg[0, "Liq"].setub(60) + stage.module.feed_side.friction_factor_darcy.setub(50) + for e in stage.module.flux_mass_phase_comp: if e[-1] == "H2O": stage.module.flux_mass_phase_comp[e].setlb(1e-5) From c9ba77ffd7960328956a6782b71ecab9e4bfc872 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 16 Dec 2024 14:54:25 -0700 Subject: [PATCH 053/116] temp --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 21 ++++++++++--------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index eb9965ae..964f240c 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -78,7 +78,7 @@ def build_system(inlet_cond, n_time_points): m.fs.treatment = Block() m.fs.energy = Block() - m.fs.treatment.costing = TreatmentCosting(case_study_definition=case_study_yaml) + m.fs.treatment.costing = TreatmentCosting() m.fs.energy.costing = EnergyCosting() # Property package @@ -92,8 +92,8 @@ def build_system(inlet_cond, n_time_points): # Create MD unit model at flowsheet level m.fs.treatment.md = FlowsheetBlock(dynamic=False) - model_options, n_time_points = build_md( - m, m.fs.treatment.md, inlet_cond, n_time_points + build_md( + m, m.fs.treatment.md, ) m.fs.treatment.dwi = FlowsheetBlock(dynamic=False) build_DWI(m, m.fs.treatment.dwi, m.fs.params) @@ -102,7 +102,8 @@ def build_system(inlet_cond, n_time_points): build_fpc(m) add_connections(m) - return m, model_options, n_time_points + # return m, model_options, n_time_points + return m def add_connections(m): @@ -352,7 +353,7 @@ def main( n_time_points = None # Build MD, DWI and FPC - m, model_options, n_time_points = build_system( + m = build_system( inlet_cond, n_time_points=n_time_points ) @@ -576,11 +577,11 @@ def save_results(m): + str(value(m.fs.energy.fpc.unit.hours_storage)) ) - results_df.to_csv( - r"C:\Users\mhardika\Documents\SETO\Case Studies\RPT3\RPT3_results\\" - + file_name - + ".csv" - ) + # results_df.to_csv( + # r"C:\Users\mhardika\Documents\SETO\Case Studies\RPT3\RPT3_results\\" + # + file_name + # + ".csv" + # ) # Flow cost From 48c8730269625af378a61eeaffb2ea25046d6fbf Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 16 Dec 2024 16:22:53 -0700 Subject: [PATCH 054/116] black of course --- .../reflo/analysis/case_studies/KBHDP/components/EC.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/EC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/EC.py index 117b4ab3..f0393c4d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/EC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/EC.py @@ -417,4 +417,4 @@ def breakdown_dof(blk): report_EC(m.fs.EC) print_EC_costing_breakdown(m.fs.EC) - m.fs.EC.ec.conductivity.display() \ No newline at end of file + m.fs.EC.ec.conductivity.display() From 0c8cc9324d636eecc733d0df5c5907299231782c Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 16 Dec 2024 16:56:00 -0700 Subject: [PATCH 055/116] remove conductivity constraint --- .../case_studies/permian/components/EC.py | 20 +++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py index 12e00e45..3eb78d09 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py @@ -162,16 +162,16 @@ def set_ec_operating_conditions(m, blk, conv=5e3, **kwargs): """Set EC operating conditions""" blk.unit.load_parameters_from_database(use_default_removal=True) - blk.unit.conductivity.unfix() - tds_ec_conversion = conv * (pyunits.mg * pyunits.m) / (pyunits.liter * pyunits.S) - - blk.unit.conductivity_constr = Constraint( - expr=blk.unit.conductivity - == pyunits.convert( - blk.feed.properties[0].conc_mass_comp["tds"] / tds_ec_conversion, - to_units=pyunits.S / pyunits.m, - ) - ) + # blk.unit.conductivity.unfix() + # tds_ec_conversion = conv * (pyunits.mg * pyunits.m) / (pyunits.liter * pyunits.S) + + # blk.unit.conductivity_constr = Constraint( + # expr=blk.unit.conductivity + # == pyunits.convert( + # blk.feed.properties[0].conc_mass_comp["tds"] / tds_ec_conversion, + # to_units=pyunits.S / pyunits.m, + # ) + # ) for k, v in kwargs.items(): try: vv = getattr(blk.unit, k) From 6c984cefd651de96551b284e360ca51de8df24c9 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 17:49:41 -0700 Subject: [PATCH 056/116] Update FPC and PV components: fix heat load value, correct unit paths, and enhance costing calculations --- .../case_studies/KBHDP/KBHDP_RPT_1.py | 32 +++++++-- .../case_studies/KBHDP/KBHDP_RPT_2.py | 6 +- .../analysis/case_studies/KBHDP/KBHDP_SOA.py | 9 +-- .../case_studies/KBHDP/components/FPC.py | 2 +- .../case_studies/KBHDP/components/PV.py | 36 ++++++---- .../KBHDP/components/ro_system.py | 68 ++++++++++++------- .../KBHDP/utils/costing_figures.py | 34 ++++++---- .../KBHDP/utils/figure_device_groups.py | 6 +- .../reflo/costing/solar/pv_surrogate.py | 12 ++-- 9 files changed, 137 insertions(+), 68 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py index f9239b17..d293d42f 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py @@ -68,7 +68,7 @@ def main(): # box_solve_problem(m) # solve(m, debug=True) # scale_costing(m) - optimize(m, ro_mem_area=None, water_recovery=0.5, grid_frac=None, objective="LCOW") + optimize(m, ro_mem_area=20000, water_recovery=0.8, grid_frac=None, objective="LCOT") solve(m, debug=False) # # display_flow_table(m) # display_system_stream_table(m) @@ -89,8 +89,10 @@ def main(): def build_sweep( grid_frac=None, - heat_price=None, + elec_price=None, water_recovery=None, + ro_mem_area=None, + objective="LCOT", ): m = build_system(RE=True) @@ -102,7 +104,14 @@ def build_sweep( init_system(m) add_costing(m) scale_costing(m) - optimize(m, ro_mem_area=None, water_recovery=0.8, grid_frac=None, objective="LCOW") + optimize( + m, + ro_mem_area=ro_mem_area, + water_recovery=water_recovery, + grid_frac=None, + elec_price=None, + objective=objective, + ) return m @@ -171,7 +180,7 @@ def build_treatment(m): build_ec(m, treatment.EC, prop_package=m.fs.UF_properties) build_UF(m, treatment.UF, prop_package=m.fs.UF_properties) - build_ro(m, treatment.RO, prop_package=m.fs.RO_properties) + build_ro(m, treatment.RO, prop_package=m.fs.RO_properties, number_of_stages=1) build_DWI(m, treatment.DWI, prop_package=m.fs.RO_properties) m.fs.units = [ @@ -328,6 +337,7 @@ def add_costing(m): m.fs.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) m.fs.costing.add_LCOW(treatment.product.properties[0].flow_vol) + m.fs.costing.add_LCOT(treatment.product.properties[0].flow_vol) m.fs.costing.initialize() @@ -612,6 +622,7 @@ def optimize( fixed_pressure=None, ro_mem_area=None, grid_frac=None, + elec_price=None, objective="LCOW", ): treatment = m.fs.treatment @@ -620,6 +631,8 @@ def optimize( if objective == "LCOW": m.fs.lcow_objective = Objective(expr=m.fs.costing.LCOW) + elif objective == "LCOT": + m.fs.lcow_objective = Objective(expr=m.fs.costing.LCOT) else: m.fs.membrane_area_objective = Objective(expr=treatment.RO.stage[1].module.area) @@ -651,8 +664,12 @@ def optimize( if ro_mem_area is not None: print(f"\n------- Fixed RO Membrane Area at {ro_mem_area} -------\n") + # for idx, stage in treatment.RO.stage.items(): + # stage.module.area.fix(ro_mem_area) + treatment.RO.total_membrane_area.fix(ro_mem_area) for idx, stage in treatment.RO.stage.items(): - stage.module.area.fix(ro_mem_area) + stage.module.area.unfix() + stage.module.area.setub(1e6) else: lower_bound = 1e3 upper_bound = 2e5 @@ -669,6 +686,11 @@ def optimize( m.fs.energy.pv.design_size.unfix() m.fs.energy.pv.annual_energy.unfix() + if elec_price is not None: + m.fs.costing.frac_elec_from_grid.unfix() + m.fs.energy.pv.design_size.unfix() + m.fs.energy.pv.annual_energy.unfix() + for idx, stage in treatment.RO.stage.items(): stage.module.width.setub(5000) stage.module.feed_side.velocity[0, 0].unfix() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py index 97f3f5e5..97a32257 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py @@ -69,7 +69,7 @@ def main(): box_solve_problem(m) # solve(m, debug=True) - optimize(m, water_recovery=0.35, grid_frac_heat=0.5, objective="LCOW") + optimize(m, water_recovery=0.35, grid_frac_heat=0.5, objective="LCOT") solve(m, debug=True) display_system_stream_table(m) report_LTMED(m) @@ -99,6 +99,7 @@ def build_sweep( m, water_recovery=water_recovery, grid_frac_heat=grid_frac_heat, + heat_price=heat_price, objective="LCOW", ) @@ -317,6 +318,7 @@ def add_costing(m): m.fs.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) m.fs.costing.add_LCOW(treatment.product.properties[0].flow_vol) + m.fs.costing.add_LCOT(treatment.product.properties[0].flow_vol) m.fs.costing.initialize() @@ -604,6 +606,8 @@ def optimize( if objective == "LCOW": m.fs.lcow_objective = Objective(expr=m.fs.costing.LCOW) + if objective == "LCOT": + m.fs.lcot_objective = Objective(expr=m.fs.costing.LCOT) if water_recovery is not None: print(f"\n------- Fixed Recovery at {100*water_recovery}% -------") diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py index ca5d6e3c..d4699347 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py @@ -278,7 +278,7 @@ def add_costing(m): treatment = m.fs.treatment # treatment.costing = TreatmentCosting() treatment.costing = REFLOCosting() - + # energy = m.fs.energy = Block() # energy.costing = EnergyCosting() @@ -302,14 +302,15 @@ def add_costing(m): treatment.costing.cost_process() - treatment.costing.add_annual_water_production(treatment.product.properties[0].flow_vol) - treatment.costing.add_LCOW(treatment.product.properties[0].flow_vol_phase['Liq']) + treatment.costing.add_annual_water_production( + treatment.product.properties[0].flow_vol + ) + treatment.costing.add_LCOW(treatment.product.properties[0].flow_vol_phase["Liq"]) # m.fs.costing.initialize() treatment.costing.initialize() - def define_inlet_composition(m): m.fs.prop = prop_ZO.WaterParameterBlock( diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 9e4106b4..983013aa 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -123,7 +123,7 @@ def set_fpc_op_conditions(m, hours_storage=6, temperature_hot=80): energy.FPC.temperature_hot.fix(temperature_hot) # Assumes the cold temperature from the outlet temperature of a 'MD HX' energy.FPC.temperature_cold.set_value(20) - energy.FPC.heat_load.fix(10) + energy.FPC.heat_load.fix(1) energy.FPC.initialize() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py index 5ce2360a..19d798c8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py @@ -48,8 +48,8 @@ def build_pv(m): energy = m.fs.energy parent_dir = os.path.abspath( - os.path.join(os.path.abspath(__file__), "..", "..", "..", "..", "..") - ) + os.path.join(os.path.abspath(__file__), "..", "..", "..", "..", "..") + ) surrogate_dir = os.path.join( parent_dir, @@ -58,13 +58,13 @@ def build_pv(m): "pv", ) - dataset_filename = os.path.join(surrogate_dir,'data', "dataset.pkl") + dataset_filename = os.path.join(surrogate_dir, "data", "dataset.pkl") surrogate_filename = os.path.join( surrogate_dir, "pv_surrogate.json", ) - + energy.pv = PVSurrogate( surrogate_model_file=surrogate_filename, dataset_filename=dataset_filename, @@ -281,11 +281,23 @@ def solve(m, solver=None, tee=True, raise_on_failure=True, debug=False): if __name__ == "__main__": m = build_system() build_pv(m) - # set_pv_constraints(m, focus="Energy") - # solve(m, debug=True) - # add_pv_costing(m, m.fs.energy.pv) - # add_pv_scaling(m, m.fs.energy.pv) - # iscale.calculate_scaling_factors(m) - # initialize(m) - # solve(m, debug=True) - # print(m.fs.energy.pv.display()) + set_pv_constraints(m, focus="Energy") + solve(m, debug=True) + add_pv_costing(m, m.fs.energy.pv) + add_pv_scaling(m, m.fs.energy.pv) + iscale.calculate_scaling_factors(m) + initialize(m) + solve(m, debug=True) + print(m.fs.energy.pv.display()) + + print(f"{f'Design Size (W):':<30s}{value(pyunits.convert(m.fs.energy.pv.design_size, to_units=pyunits.watt)):<10,.1f}") + print(f"{f'Direct Cost Per Watt ($/W):':<30s}{value(m.fs.energy.costing.pv_surrogate.cost_per_watt_module):<10,.1f}") + # print(f"{f'Direct Cost Should Be ($):':<30s}{value(pyunits.convert(m.fs.energy.pv.design_size, to_units=pyunits.watt))*value(m.fs.energy.costing.pv_surrogate.cost_per_watt_module):<10,.1f}") + print(f"{f'Direct Cost Currently Is ($):':<30s}{value(m.fs.energy.pv.costing.capital_cost):<10,.1f}") + + # print(m.fs.energy.pv.costing.direct_capital_cost_constraint.pprint()) + # print(m.fs.energy.pv.design_size()) + # print(m.fs.energy.costing.pv_surrogate.cost_per_watt_module()) + + + diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py index b85b8170..1123de06 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py @@ -589,29 +589,51 @@ def set_ro_system_operating_conditions(m, blk, mem_area=100, RO_pressure=15e5): stage.module.flux_mass_phase_comp[e].setlb(1e-5) stage.module.flux_mass_phase_comp[e].setub(0.99) - # stage.eq_max_water_flux = Constraint( - # expr= stage.module.flux_vol_phase_avg[0] <= 40 - # ) - - # stage.eq_min_water_flux = Constraint( - # expr=pyunits.convert( - # stage.module.flux_mass_phase_comp_avg[ - # 0, "Liq", "H2O" - # ] - # / stage.module.feed_side.properties[0.0,0.0].dens_mass_phase["Liq"], - # to_units=pyunits.liter / pyunits.m**2 / pyunits.hr, - # ) >= 10 * pyunits.liter / pyunits.m**2 / pyunits.hr - # ) - - # blk.eq_minimum_water_flux = Constraint( - # expr=pyunits.convert( - # m.fs.treatment.RO.stage[1].module.flux_mass_phase_comp_avg[ - # 0.0, "Liq", "H2O" - # ], - # to_units=pyunits.kg / pyunits.hr / pyunits.m**2, - # ) - # <= 40 * pyunits.kg / pyunits.hr / pyunits.m**2 - # ) + + # for idx, stage in blk.stage.items(): + # # stage.module.width.setub(5000) + # # stage.module.feed_side.velocity[0, 0].unfix() + # # stage.module.feed_side.velocity[0, 1].setlb(0.0) + # stage.module.feed_side.K.setlb(1e-6) + # stage.module.feed_side.friction_factor_darcy.setub(50) + # stage.module.flux_mass_phase_comp.setub(1) + # # stage.module.flux_mass_phase_comp.setlb(1e-5) + # stage.module.feed_side.cp_modulus.setub(10) + # stage.module.rejection_phase_comp.setlb(1e-4) + # stage.module.feed_side.N_Re.setlb(1) + # stage.module.recovery_mass_phase_comp.setlb(1e-7) + + blk.total_membrane_area = Var( + initialize=10000, + domain=NonNegativeReals, + units=pyunits.m**2, + doc="Total RO System Membrane Area", + ) + + blk.eq_total_membrane_area = Constraint( + expr=blk.total_membrane_area + == sum([stage.module.area for idx, stage in blk.stage.items()]) + ) + + # stage.eq_min_water_flux = Constraint( + # expr=pyunits.convert( + # stage.module.flux_mass_phase_comp_avg[ + # 0, "Liq", "H2O" + # ] + # / stage.module.feed_side.properties[0.0,0.0].dens_mass_phase["Liq"], + # to_units=pyunits.liter / pyunits.m**2 / pyunits.hr, + # ) >= 10 * pyunits.liter / pyunits.m**2 / pyunits.hr + # ) + + # blk.eq_minimum_water_flux = Constraint( + # expr=pyunits.convert( + # m.fs.treatment.RO.stage[1].module.flux_mass_phase_comp_avg[ + # 0.0, "Liq", "H2O" + # ], + # to_units=pyunits.kg / pyunits.hr / pyunits.m**2, + # ) + # <= 40 * pyunits.kg / pyunits.hr / pyunits.m**2 + # ) # add_ro_scaling(m, stage) # iscale.calculate_scaling_factors(m) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py index 38a874ae..1431c17a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py @@ -42,7 +42,7 @@ def create_sweep_cost_breakdown( filepath = os.path.abspath(__file__) util_dir = os.path.dirname(filepath) parent_dir = os.path.dirname(util_dir) - save_path = os.path.join(parent_dir,'figures') + save_path = os.path.join(parent_dir, "figures") if device_groups == None: device_groups = { @@ -74,6 +74,11 @@ def create_sweep_cost_breakdown( "return_key": "fs.costing.heat_cost_buy", # "units": "USD/kWh", }, + { + "filekey": "fs.costing.electricity_cost_buy", + "return_key": "fs.costing.electricity_cost_buy", + # "units": "USD/kWh", + }, { "filekey": "fs.energy.costing.flat_plate.fixed_operating_by_capacity", "return_key": "FPC Cost", @@ -89,6 +94,11 @@ def create_sweep_cost_breakdown( "return_key": "LCOW", # "units": "USD/m**3", }, + { + "filekey": "fs.costing.LCOT", + "return_key": "LCOT", + # "units": "USD/m**3", + }, { "filekey": "fs.energy.pv.annual_energy", "return_key": "fs.energy.pv.annual_energy", @@ -128,7 +138,7 @@ def create_sweep_cost_breakdown( The CAPEX and OPEX will be aggregated from keys in supplied costing groups, the capital and opex costs that are attached to the costing packages will not be used! """ - if save_name is "KBHDP_SOA_1": + if save_name == "KBHDP_SOA_1": costing_data.get_costing( device_groups, costing_block="fs.treatment.costing", @@ -148,29 +158,27 @@ def create_sweep_cost_breakdown( cost_plotter = breakDownPlotter( costing_data, save_location=save_path, - save_name=save_name+"_"+x_var, + save_name=save_name + "_" + x_var, ) - print(save_name+"_"+x_var) + print(save_name + "_" + x_var) """ define the costing groups, this will be order they are plotted in""" ## This is why the rest of the device groups aren't showing up - cost_plotter.define_area_groups( - list(device_groups.keys()) - ) + cost_plotter.define_area_groups(list(device_groups.keys())) """ define if you want to plot specific groups, for example CAPEX, OPEX or TOTAl isstead""" cost_plotter.define_hatch_groups({"CAPEX": {"hatch": ""}, "OPEX": {"hatch": "//"}}) # print(list(device_groups.keys())) # assert False - y_max = ( - np.ceil(np.array(costing_data[costing_data.directory_keys[0], "LCOW"].data).max()) + y_max = np.ceil( + np.array(costing_data[costing_data.directory_keys[0], "LCOT"].data).max() ) - print(np.array(costing_data[costing_data.directory_keys[0], "LCOW"].data)) - print(f'Y Max {y_max}') + print(np.array(costing_data[costing_data.directory_keys[0], "LCOT"].data)) + print(f"Y Max {y_max}") # assert False if np.isnan(y_max): print("No figure generated\nLCOW returned NaN\nMoving on to next figure") - y_axis_lims = np.linspace(0, y_max, 5) + y_axis_lims = np.linspace(0, 5, 5) cost_plotter.plotbreakdown( xdata=x_var, ydata=[ @@ -213,7 +221,7 @@ def create_case_figures(case_name=None, sweep_file=None, device_groups=None): file_id = file.split("_") case_id = case_name.split("_") if file_id[:3] == case_id[:3]: - print(f'\n\nCreating Figures for {file} sweep\n\n') + print(f"\n\nCreating Figures for {file} sweep\n\n") costing_data = psDataManager(os.path.join(sweep_results_dir, file)) create_sweep_cost_breakdown( costing_data, device_groups=device_groups, save_name=case_name diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py index 64fa8b3e..55b41760 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/figure_device_groups.py @@ -169,13 +169,13 @@ "units": {"fs.treatment.pump.costing.capital_cost"}, }, }, - "PV": { + "FPC": { "CAPEX": { - "units": {"fs.energy.pv.costing.capital_cost"}, + "units": {"fs.energy.FPC.costing.capital_cost"}, }, "OPEX": { "units": { - "fs.energy.pv.costing.fixed_operating_cost", + "fs.energy.FPC.costing.fixed_operating_cost", } }, }, diff --git a/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py b/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py index 74211895..285557f4 100644 --- a/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py +++ b/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py @@ -73,7 +73,7 @@ def build_pv_surrogate_cost_param_block(blk): ) blk.fixed_operating_by_capacity = pyo.Var( - initialize=0, + initialize=31, units=costing.base_currency / (pyo.units.kW * costing.base_period), bounds=(0, None), doc="Fixed operating cost of PV system per kW generated", @@ -130,26 +130,26 @@ def cost_pv_surrogate(blk): blk.direct_capital_cost_constraint = pyo.Constraint( expr=blk.direct_capital_cost - == blk.unit_model.design_size + == pyo.units.convert(blk.unit_model.design_size, to_units=pyo.units.watt) * ( pv_params.cost_per_watt_module + pv_params.cost_per_watt_inverter + pv_params.cost_per_watt_other ) + ( - blk.unit_model.design_size + pyo.units.convert(blk.unit_model.design_size, to_units=pyo.units.watt) * ( pv_params.cost_per_watt_module + pv_params.cost_per_watt_inverter + pv_params.cost_per_watt_other ) ) - * pv_params.contingency_frac_direct_capital_cost + * (1 + pv_params.contingency_frac_direct_capital_cost) #BUG Check this ) blk.indirect_capital_cost_constraint = pyo.Constraint( expr=blk.indirect_capital_cost - == (blk.unit_model.design_size * pv_params.cost_per_watt_indirect) + == (pyo.units.convert(blk.unit_model.design_size, to_units=pyo.units.watt) * pv_params.cost_per_watt_indirect) + (blk.unit_model.land_req * pv_params.land_cost_per_acre) ) @@ -168,7 +168,7 @@ def cost_pv_surrogate(blk): blk.fixed_operating_cost_constraint = pyo.Constraint( expr=blk.fixed_operating_cost - == pv_params.fixed_operating_by_capacity * blk.unit_model.design_size + == pv_params.fixed_operating_by_capacity * pyo.units.convert(blk.unit_model.design_size, to_units=pyo.units.kW) ) blk.variable_operating_cost_constraint = pyo.Constraint( From 3e810a45881e9558e2b3d5a56cda1ceac6a7ef81 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 23:02:19 -0700 Subject: [PATCH 057/116] Update KBHDP YAML configurations: add build defaults for water recovery and electricity pricing, and refine collector cost sweep parameters --- .../KBHDP/sweep_yamls/KBHDP_RPT_1.yaml | 26 +++- .../KBHDP/sweep_yamls/KBHDP_RPT_2.yaml | 111 ++++++++++-------- 2 files changed, 87 insertions(+), 50 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_1.yaml b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_1.yaml index 1bebba9a..4f266b45 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_1.yaml +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_1.yaml @@ -1,4 +1,8 @@ KBHDP_RPT_1_water_recovery_sweep: + build_defaults: + elec_price: 0.066 + water_recovery: 0.80 + ro_mem_area: 20000 sweep_param_loop: water_recovery: type: LinearSample @@ -7,6 +11,10 @@ KBHDP_RPT_1_water_recovery_sweep: upper_limit: 0.8 num_samples: 11 KBHDP_RPT_1_disposal_cost_sweep: + build_defaults: + elec_price: 0.066 + water_recovery: 0.80 + ro_mem_area: 20000 sweep_param_loop: water_recovery: type: LinearSample @@ -15,10 +23,26 @@ KBHDP_RPT_1_disposal_cost_sweep: upper_limit: 0.1 num_samples: 6 KBHDP_RPT_1_annual_energy_sweep: + build_defaults: + elec_price: 0.066 + water_recovery: 0.80 + ro_mem_area: 20000 sweep_param_loop: annual_energy: type: LinearSample param: fs.energy.pv.annual_energy lower_limit: 1000000 upper_limit: 15000000 - num_samples: 5 \ No newline at end of file + num_samples: 5 +KBHDP_RPT_1_elec_price_sweep: + build_defaults: + elec_price: 0.066 + water_recovery: 0.80 + ro_mem_area: 20000 + sweep_param_loop: + fs.costing.elec_cost_buy: + type: LinearSample + param: fs.costing.electricity_cost_buy + lower_limit: 0.05 + upper_limit: 0.35 + num_samples: 11 \ No newline at end of file diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_2.yaml b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_2.yaml index 93cc6b2b..7559cdef 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_2.yaml +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_2.yaml @@ -1,52 +1,65 @@ -KBHDP_RPT_2_frac_heat_from_grid_sweep: +# KBHDP_RPT_2_frac_heat_from_grid_sweep: +# build_defaults: +# grid_frac_heat: 0.5 +# sweep_param_loop: +# frac_heat_from_grid: +# type: LinearSample +# param: fs.costing.frac_heat_from_grid +# lower_limit: 0.1 +# upper_limit: 0.9 +# num_samples: 2 +# KBHDP_RPT_2_fpc_cost_sweep: +# build_defaults: +# heat_price: 0.01 +# water_recovery: 0.35 +# sweep_param_loop: +# fpc_cost: +# type: LinearSample +# param: fs.energy.costing.flat_plate.fixed_operating_by_capacity +# lower_limit: 1 +# upper_limit: 15 +# num_samples: 2 +# KBHDP_RPT_2_heat_price_sweep: +# build_defaults: +# heat_price: 0.01 +# water_recovery: 0.35 +# sweep_param_loop: +# heat_cost_buy: +# type: LinearSample +# param: fs.costing.heat_cost_buy +# lower_limit: 0.005 +# upper_limit: 0.015 +# num_samples: 11 +KBHDP_RPT_2_collector_cost_sweep: build_defaults: - grid_frac_heat: 0.5 + heat_price: 0.00894 + water_recovery: 0.35 sweep_param_loop: - frac_heat_from_grid: + collector_cost: type: LinearSample - param: fs.costing.frac_heat_from_grid - lower_limit: 0.1 - upper_limit: 0.9 - num_samples: 9 -KBHDP_RPT_2_fpc_cost_sweep: - build_defaults: - heat_price: 0.01 - sweep_param_loop: - fpc_cost: - type: LinearSample - param: fs.energy.costing.flat_plate.fixed_operating_by_capacity - lower_limit: 1 - upper_limit: 15 - num_samples: 15 -KBHDP_RPT_2_heat_price_sweep: - build_defaults: - heat_price: 0.1 - sweep_param_loop: - heat_price: - type: LinearSample - param: fs.costing.heat_cost_buy - lower_limit: 0.01 - upper_limit: 1 - num_samples: 10 -KBHDP_RPT_2_water_recovery_sweep: - build_defaults: - grid_frac_heat: 0.5 - water_recovery: 0.4 - sweep_param_loop: - water_recovery: - type: LinearSample - param: fs.water_recovery - lower_limit: 0.3 - upper_limit: 0.45 - num_samples: 3 -KBHDP_RPT_2_disposal_cost_sweep: - build_defaults: - grid_frac_heat: 0.5 - water_recovery: 0.4 - sweep_param_loop: - disposal_cost: - type: LinearSample - param: fs.treatment.costing.deep_well_injection.dwi_lcow - lower_limit: 0.05 - upper_limit: 0.1 - num_samples: 6 \ No newline at end of file + param: fs.energy.costing.flat_plate.cost_per_area_collector + lower_limit: 0 + upper_limit: 600 + num_samples: 11 +# KBHDP_RPT_2_water_recovery_sweep: +# build_defaults: +# grid_frac_heat: 0.5 +# water_recovery: 0.4 +# sweep_param_loop: +# water_recovery: +# type: LinearSample +# param: fs.water_recovery +# lower_limit: 0.3 +# upper_limit: 0.45 +# num_samples: 2 +# KBHDP_RPT_2_disposal_cost_sweep: +# build_defaults: +# grid_frac_heat: 0.5 +# water_recovery: 0.4 +# sweep_param_loop: +# disposal_cost: +# type: LinearSample +# param: fs.treatment.costing.deep_well_injection.dwi_lcow +# lower_limit: 0.05 +# upper_limit: 0.1 +# num_samples: 2 \ No newline at end of file From ff07352d638138c347975f4482b9b2dd51f88460 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 23:03:28 -0700 Subject: [PATCH 058/116] Refactor KBHDP analysis scripts: update function parameters, optimize cost calculations, and enhance figure generation --- .../case_studies/KBHDP/KBHDP_RPT_1.py | 4 ++-- .../case_studies/KBHDP/KBHDP_RPT_2.py | 21 ++++++++++++------- .../case_studies/KBHDP/components/FPC.py | 2 ++ .../KBHDP/utils/costing_figures.py | 17 +++++++++------ .../costing/watertap_reflo_costing_package.py | 10 --------- 5 files changed, 28 insertions(+), 26 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py index d293d42f..a72cf7f1 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_1.py @@ -108,8 +108,8 @@ def build_sweep( m, ro_mem_area=ro_mem_area, water_recovery=water_recovery, - grid_frac=None, - elec_price=None, + grid_frac=grid_frac, + elec_price=elec_price, objective=objective, ) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py index 97a32257..b64e5b62 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_2.py @@ -66,17 +66,20 @@ def main(): init_system(m) add_costing(m) scale_costing(m) - box_solve_problem(m) - # solve(m, debug=True) + # box_solve_problem(m) + # # solve(m, debug=True) - optimize(m, water_recovery=0.35, grid_frac_heat=0.5, objective="LCOT") + optimize(m, water_recovery=0.35, heat_price=0.005, objective="LCOW") solve(m, debug=True) - display_system_stream_table(m) - report_LTMED(m) - report_pump(m, m.fs.treatment.pump) + # display_system_stream_table(m) + # report_LTMED(m) + # report_pump(m, m.fs.treatment.pump) report_fpc(m) - display_costing_breakdown(m) + m.fs.costing.LCOW.display() + m.fs.energy.costing.LCOH.display() + m.fs.costing.LCOT.display() + # display_costing_breakdown(m) return m @@ -303,6 +306,7 @@ def add_energy_costing(m): add_fpc_costing(m, energy.costing) energy.costing.cost_process() + energy.costing.add_LCOH() energy.costing.initialize() @@ -619,7 +623,8 @@ def optimize( m.fs.costing.frac_heat_from_grid.fix(grid_frac_heat) if heat_price is not None: - m.fs.energy.FPC.heat_load.unfix() + energy.FPC.heat_load.unfix() + energy.FPC.hours_storage.unfix() m.fs.costing.frac_heat_from_grid.unfix() m.fs.costing.heat_cost_buy.fix(heat_price) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 983013aa..7a4a2ddb 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -118,6 +118,8 @@ def set_system_op_conditions(m): def set_fpc_op_conditions(m, hours_storage=6, temperature_hot=80): energy = m.fs.energy + energy.FPC.load_surrogate() + energy.FPC.hours_storage.fix(hours_storage) # Assumes the hot temperature to the inlet of a 'MD HX' energy.FPC.temperature_hot.fix(temperature_hot) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py index 1431c17a..0b51ca70 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py @@ -74,6 +74,11 @@ def create_sweep_cost_breakdown( "return_key": "fs.costing.heat_cost_buy", # "units": "USD/kWh", }, + { + "filekey": "fs.energy.costing.flat_plate.cost_per_area_collector", + "return_key": "fs.energy.costing.flat_plate.cost_per_area_collector", + # "units": "USD/kWh", + }, { "filekey": "fs.costing.electricity_cost_buy", "return_key": "fs.costing.electricity_cost_buy", @@ -178,7 +183,7 @@ def create_sweep_cost_breakdown( # assert False if np.isnan(y_max): print("No figure generated\nLCOW returned NaN\nMoving on to next figure") - y_axis_lims = np.linspace(0, 5, 5) + y_axis_lims = np.linspace(0, 10, 5) cost_plotter.plotbreakdown( xdata=x_var, ydata=[ @@ -186,7 +191,7 @@ def create_sweep_cost_breakdown( "levelized", ], axis_options={ - "yticks": np.linspace(0, 1, 5), + "yticks": y_axis_lims, # "yticks": [0, 0.25 ,0.5], # adjust as needed "xticks": costing_data[costing_data.directory_keys[0], x_var].data, }, @@ -232,12 +237,12 @@ def create_all_figures(): # create_case_figures( # case_name="KBHDP_SOA_1", device_groups=figure_device_groups["KBHDP_SOA_1"] # ) - create_case_figures( - case_name="KBHDP_RPT_1", device_groups=figure_device_groups["KBHDP_RPT_1"] - ) # create_case_figures( - # case_name="KBHDP_RPT_2", device_groups=figure_device_groups["KBHDP_RPT_2"] + # case_name="KBHDP_RPT_1", device_groups=figure_device_groups["KBHDP_RPT_1"] # ) + create_case_figures( + case_name="KBHDP_RPT_2", device_groups=figure_device_groups["KBHDP_RPT_2"] + ) if __name__ == "__main__": diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index fa7eb606..5c35cf2c 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -861,16 +861,6 @@ def add_LCOW(self, flow_rate, name="LCOW"): add_object_reference(self, name, getattr(treat_cost, name)) - def add_LCOE(self): - """ - Add Levelized Cost of Energy (LCOE) to costing block. - """ - - energy_cost = self._get_energy_cost_block() - if not hasattr(energy_cost, "LCOE"): - energy_cost.add_LCOE() - - add_object_reference(self, "LCOE", energy_cost.LCOE) def add_LCOH(self): """ From 287cf02ad9556847f2a8a78329cf011d50a0fe76 Mon Sep 17 00:00:00 2001 From: zacharybinger Date: Mon, 16 Dec 2024 23:05:03 -0700 Subject: [PATCH 059/116] Refactor PV and RO system components: improve print formatting and clean up code structure --- .../analysis/case_studies/KBHDP/components/PV.py | 15 +++++++++------ .../case_studies/KBHDP/components/ro_system.py | 1 - .../reflo/costing/solar/pv_surrogate.py | 10 +++++++--- .../costing/watertap_reflo_costing_package.py | 1 - 4 files changed, 16 insertions(+), 11 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py index 19d798c8..3cd3f789 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/PV.py @@ -290,14 +290,17 @@ def solve(m, solver=None, tee=True, raise_on_failure=True, debug=False): solve(m, debug=True) print(m.fs.energy.pv.display()) - print(f"{f'Design Size (W):':<30s}{value(pyunits.convert(m.fs.energy.pv.design_size, to_units=pyunits.watt)):<10,.1f}") - print(f"{f'Direct Cost Per Watt ($/W):':<30s}{value(m.fs.energy.costing.pv_surrogate.cost_per_watt_module):<10,.1f}") + print( + f"{f'Design Size (W):':<30s}{value(pyunits.convert(m.fs.energy.pv.design_size, to_units=pyunits.watt)):<10,.1f}" + ) + print( + f"{f'Direct Cost Per Watt ($/W):':<30s}{value(m.fs.energy.costing.pv_surrogate.cost_per_watt_module):<10,.1f}" + ) # print(f"{f'Direct Cost Should Be ($):':<30s}{value(pyunits.convert(m.fs.energy.pv.design_size, to_units=pyunits.watt))*value(m.fs.energy.costing.pv_surrogate.cost_per_watt_module):<10,.1f}") - print(f"{f'Direct Cost Currently Is ($):':<30s}{value(m.fs.energy.pv.costing.capital_cost):<10,.1f}") + print( + f"{f'Direct Cost Currently Is ($):':<30s}{value(m.fs.energy.pv.costing.capital_cost):<10,.1f}" + ) # print(m.fs.energy.pv.costing.direct_capital_cost_constraint.pprint()) # print(m.fs.energy.pv.design_size()) # print(m.fs.energy.costing.pv_surrogate.cost_per_watt_module()) - - - diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py index 1123de06..72090e94 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/ro_system.py @@ -589,7 +589,6 @@ def set_ro_system_operating_conditions(m, blk, mem_area=100, RO_pressure=15e5): stage.module.flux_mass_phase_comp[e].setlb(1e-5) stage.module.flux_mass_phase_comp[e].setub(0.99) - # for idx, stage in blk.stage.items(): # # stage.module.width.setub(5000) # # stage.module.feed_side.velocity[0, 0].unfix() diff --git a/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py b/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py index 285557f4..c01a90a1 100644 --- a/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py +++ b/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py @@ -144,12 +144,15 @@ def cost_pv_surrogate(blk): + pv_params.cost_per_watt_other ) ) - * (1 + pv_params.contingency_frac_direct_capital_cost) #BUG Check this + * (1 + pv_params.contingency_frac_direct_capital_cost) # BUG Check this ) blk.indirect_capital_cost_constraint = pyo.Constraint( expr=blk.indirect_capital_cost - == (pyo.units.convert(blk.unit_model.design_size, to_units=pyo.units.watt) * pv_params.cost_per_watt_indirect) + == ( + pyo.units.convert(blk.unit_model.design_size, to_units=pyo.units.watt) + * pv_params.cost_per_watt_indirect + ) + (blk.unit_model.land_req * pv_params.land_cost_per_acre) ) @@ -168,7 +171,8 @@ def cost_pv_surrogate(blk): blk.fixed_operating_cost_constraint = pyo.Constraint( expr=blk.fixed_operating_cost - == pv_params.fixed_operating_by_capacity * pyo.units.convert(blk.unit_model.design_size, to_units=pyo.units.kW) + == pv_params.fixed_operating_by_capacity + * pyo.units.convert(blk.unit_model.design_size, to_units=pyo.units.kW) ) blk.variable_operating_cost_constraint = pyo.Constraint( diff --git a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py index 5c35cf2c..5270ebfa 100644 --- a/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py +++ b/src/watertap_contrib/reflo/costing/watertap_reflo_costing_package.py @@ -861,7 +861,6 @@ def add_LCOW(self, flow_rate, name="LCOW"): add_object_reference(self, name, getattr(treat_cost, name)) - def add_LCOH(self): """ Add Levelized Cost of Heat (LCOH) to costing block. From 51388f275a445e2a77a258b9d96e8410d1792a16 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 10:25:24 -0700 Subject: [PATCH 060/116] correct sweep names from RPT_1 to SOA_1 --- .../analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml index 82f1e7e8..d9cf161f 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_SOA_1.yaml @@ -1,4 +1,4 @@ -KBHDP_RPT_1_water_recovery_sweep: +KBHDP_SOA_1_water_recovery_sweep: sweep_param_loop: water_recovery: type: LinearSample @@ -6,7 +6,7 @@ KBHDP_RPT_1_water_recovery_sweep: lower_limit: 0.5 upper_limit: 0.8 num_samples: 11 -KBHDP_RPT_1_disposal_cost_sweep: +KBHDP_SOA_1_disposal_cost_sweep: sweep_param_loop: water_recovery: type: LinearSample From e1a5dbd990f1b6c4ed741580da1d4fc517291f09 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 10:25:32 -0700 Subject: [PATCH 061/116] ignore .h5 files --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 316913d4..de9e2db9 100644 --- a/.gitignore +++ b/.gitignore @@ -150,3 +150,4 @@ auto-save-list # other *.json +*.h5 \ No newline at end of file From 536a1ff6bb8b19da6b2a774843c98e7c741d74e2 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 10:27:32 -0700 Subject: [PATCH 062/116] clean up --- .../reflo/costing/solar/photovoltaic.py | 23 +------------------ .../reflo/costing/solar/pv_surrogate.py | 8 +++---- 2 files changed, 5 insertions(+), 26 deletions(-) diff --git a/src/watertap_contrib/reflo/costing/solar/photovoltaic.py b/src/watertap_contrib/reflo/costing/solar/photovoltaic.py index 44874054..4f8ee565 100644 --- a/src/watertap_contrib/reflo/costing/solar/photovoltaic.py +++ b/src/watertap_contrib/reflo/costing/solar/photovoltaic.py @@ -1,5 +1,5 @@ ################################################################################# -# WaterTAP Copyright (c) 2020-2023, The Regents of the University of California, +# WaterTAP Copyright (c) 2020-2024, The Regents of the University of California, # through Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory, # National Renewable Energy Laboratory, and National Energy Technology # Laboratory (subject to receipt of any required approvals from the U.S. Dept. @@ -121,27 +121,6 @@ def cost_pv(blk): doc="Sales tax for PV system", ) - # pv.design_size = pyo.Var( - # initialize=0, - # units=pyo.units.watt, - # bounds=(0, None), - # doc="DC system capacity for PV system", - # ) - - # blk.land_area = pyo.Var( - # initialize=0, - # units=pyo.units.acre, - # bounds=(0, None), - # doc="Land area required for PV system", - # ) - - # blk.annual_generation = pyo.Var( - # initialize=0, - # units=pyo.units.MWh, - # bounds=(0, None), - # doc="Annual electricity generation of PV system", - # ) - blk.direct_cost_constraint = pyo.Constraint( expr=blk.direct_cost == pv.design_size diff --git a/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py b/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py index c01a90a1..8715b5f8 100644 --- a/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py +++ b/src/watertap_contrib/reflo/costing/solar/pv_surrogate.py @@ -102,28 +102,28 @@ def cost_pv_surrogate(blk): blk.direct_capital_cost = pyo.Var( initialize=0, - units=blk.config.flowsheet_costing_block.base_currency, + units=blk.costing_package.base_currency, bounds=(0, None), doc="Direct costs of PV system", ) blk.indirect_capital_cost = pyo.Var( initialize=0, - units=blk.config.flowsheet_costing_block.base_currency, + units=blk.costing_package.base_currency, bounds=(0, None), doc="Indirect costs of PV system", ) blk.land_cost = pyo.Var( initialize=0, - units=blk.config.flowsheet_costing_block.base_currency, + units=blk.costing_package.base_currency, bounds=(0, None), doc="Land costs of PV system", ) blk.sales_tax = pyo.Var( initialize=0, - units=blk.config.flowsheet_costing_block.base_currency, + units=blk.costing_package.base_currency, bounds=(0, None), doc="Sales tax for PV system", ) From 1997a86be0600c44cb9c063e5c7cc97438f1f5c2 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 10:27:41 -0700 Subject: [PATCH 063/116] don't need seaborn atm --- .../reflo/analysis/case_studies/KBHDP/utils/costing_figures.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py index 0b51ca70..8a4047f8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py @@ -4,7 +4,7 @@ import numpy as np import os import pandas as pd -import seaborn as sns +# import seaborn as sns import matplotlib.pyplot as plt from watertap_contrib.reflo.analysis.case_studies.KBHDP.utils.figure_device_groups import ( figure_device_groups, From 8fd18609af8bfc60be61d26626da692664eaef2d Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 10:29:44 -0700 Subject: [PATCH 064/116] black --- .../reflo/analysis/case_studies/KBHDP/utils/costing_figures.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py index 8a4047f8..44e32fdc 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/utils/costing_figures.py @@ -4,6 +4,7 @@ import numpy as np import os import pandas as pd + # import seaborn as sns import matplotlib.pyplot as plt from watertap_contrib.reflo.analysis.case_studies.KBHDP.utils.figure_device_groups import ( From 3f45ca40393ee3149ad11d4ace1bda436e56cc97 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 17:45:09 -0700 Subject: [PATCH 065/116] run for KBHDP --- .../flat_plate/data/pysam_run_flat_plate.py | 25 ++++++++++++------- 1 file changed, 16 insertions(+), 9 deletions(-) diff --git a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/pysam_run_flat_plate.py b/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/pysam_run_flat_plate.py index 15ff71e6..8a87c142 100644 --- a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/pysam_run_flat_plate.py +++ b/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/pysam_run_flat_plate.py @@ -125,6 +125,7 @@ def run_model(tech_model, heat_load_mwt=None, hours_storage=None, temperature_ho T_cold = tech_model.value("custom_mains")[0] # [C] heat_load = heat_load_mwt * 1e3 if heat_load_mwt is not None else None # [kWt] + print(f"Running:\n\tHeat Load = {heat_load_mwt}\n\tHours Storage = {hours_storage}\n\tTemperature Hot = {temperature_hot}") if heat_load is not None: # Set heat load (system capacity) @@ -205,7 +206,7 @@ def _set_aspect(ax, aspect): ax.set_aspect(abs((x_right - x_left) / (y_low - y_high)) * aspect) levels = 25 - df2 = df[[x_label, y_label, z_label]].pivot(y_label, x_label, z_label) + df2 = df[[x_label, y_label, z_label]].pivot([y_label, x_label, z_label]) y = df2.index.values x = df2.columns.values z = df2.values @@ -321,7 +322,7 @@ def plot_3ds(df): units=["MWt", "C", "kWht"], ) plot_3d( - df.query("heat_load == 500"), + df.query("heat_load == 6"), "hours_storage", "temperature_hot", "heat_annual", @@ -335,14 +336,14 @@ def plot_3ds(df): units=["MWt", "hr", "kWhe"], ) plot_3d( - df.query("hours_storage == 12"), + df.query("hours_storage == 6"), "heat_load", "temperature_hot", "electricity_annual", units=["MWt", "C", "kWhe"], ) plot_3d( - df.query("heat_load == 500"), + df.query("heat_load == 6"), "hours_storage", "temperature_hot", "electricity_annual", @@ -407,14 +408,16 @@ def debug_t_hot(tech_model): ######################################################################################################### if __name__ == "__main__": debug = False - plot_saved_dataset = False # plot previously run, saved data? + plot_saved_dataset = True # plot previously run, saved data? run_parametrics = True use_multiprocessing = True # heat_loads = np.arange(5, 115, 10) # [MWt] - heat_loads = np.arange(1, 400, 25) # [MWt] - hours_storages = np.arange(0, 27, 1) # [hr] + heat_loads = np.linspace(1, 25, 25) # [MWt] + hours_storages = np.linspace(0, 12, 13) # [hr] temperature_hots = np.arange(50, 102, 2) # [C] + # print(temperature_hots) + # assert False temperatures = { "T_cold": 20, "T_hot": 70, # this will be overwritten by temperature_hot value @@ -425,10 +428,13 @@ def debug_t_hot(tech_model): weather_file = join( dirname(__file__), "tucson_az_32.116521_-110.933042_psmv3_60_tmy.csv" ) + weather_file = "/Users/ksitterl/Documents/Python/watertap-reflo/watertap-reflo/kurby_reflo/case_studies/KBHDP/el_paso_texas-KBHDP-weather.csv" dataset_filename = join( dirname(__file__), "FPC_Heat_Load.pkl" ) # output dataset for surrogate training - + dataset_filename = join( + dirname(__file__), "FPC_KBHDP_el_paso.pkl" + ) # output dataset for surrogate training config_data = read_module_datafile(param_file) if "solar_resource_file" in config_data: del config_data["solar_resource_file"] @@ -445,7 +451,7 @@ def debug_t_hot(tech_model): # Load and plot saved df (x, y z) df = pd.read_pickle(dataset_filename) plot_2d( - df.query("hours_storage == 12 & heat_load == 500"), + df.query("hours_storage == 6 & heat_load == 6"), "temperature_hot", "heat_annual", units=["C", "kWht"], @@ -453,6 +459,7 @@ def debug_t_hot(tech_model): plot_3ds(df) plot_contours(df) + # assert False # Run model for single parameter set result = run_model( tech_model, heat_load_mwt=200, hours_storage=1, temperature_hot=70 From d632afaf1f3e15acb656d9cad532af7fc7a178ec Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 17:45:31 -0700 Subject: [PATCH 066/116] no need to load_surrogate twice --- .../reflo/analysis/case_studies/KBHDP/components/FPC.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 7a4a2ddb..c8b6d05c 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -118,7 +118,7 @@ def set_system_op_conditions(m): def set_fpc_op_conditions(m, hours_storage=6, temperature_hot=80): energy = m.fs.energy - energy.FPC.load_surrogate() + # energy.FPC.load_surrogate() energy.FPC.hours_storage.fix(hours_storage) # Assumes the hot temperature to the inlet of a 'MD HX' From 7b2aa6861db1feafb4b549162b4b8e666b32f61a Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 17:45:48 -0700 Subject: [PATCH 067/116] add some logging --- src/watertap_contrib/reflo/core/solar_energy_base.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/src/watertap_contrib/reflo/core/solar_energy_base.py b/src/watertap_contrib/reflo/core/solar_energy_base.py index caa780c8..a4a0b443 100644 --- a/src/watertap_contrib/reflo/core/solar_energy_base.py +++ b/src/watertap_contrib/reflo/core/solar_energy_base.py @@ -36,6 +36,8 @@ __author__ = "Kurban Sitterley" + + class SolarModelType(StrEnum): surrogate = "surrogate" physical = "physical" @@ -170,6 +172,7 @@ class SolarEnergyBaseData(UnitModelBlockData): def build(self): super().build() + self.log = idaeslog.getLogger(self.name) self.scaling_factor = Suffix(direction=Suffix.EXPORT) self._tech_type = None @@ -236,9 +239,7 @@ def calculate_scaling_factors(self): if callable(self._scaling): self._scaling(self) - def create_rbf_surrogate( - self, - ): + def create_rbf_surrogate(self): # Capture long output stream = StringIO() @@ -257,8 +258,9 @@ def create_rbf_surrogate( self.trainer.config.basis_function = "gaussian" # default = gaussian self.trainer.config.solution_method = "algebraic" # default = algebraic self.trainer.config.regularization = True # default = True - + self.log.info(f"Training RBF Surrogate with {self.trainer.config.basis_function} basis function and {self.trainer.config.solution_method} solution method.") self.trained_rbf = self.trainer.train_surrogate() + self.log.info(f"Training Complete.") try: os.remove("solution.pickle") @@ -383,6 +385,8 @@ def load_surrogate(self): if self.config.surrogate_model_file is not None: self.surrogate_file = self.config.surrogate_model_file + self.log.info("Loading surrogate.") + self.surrogate_blk = SurrogateBlock(concrete=True) self.surrogate = PysmoSurrogate.load_from_file(self.surrogate_file) self.surrogate_blk.build_model( From 9cc9acacba5c373435415ef77da8341139d32f59 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 17 Dec 2024 17:46:49 -0700 Subject: [PATCH 068/116] add FPC surrogate for El Paso --- .../flat_plate/data/FPC_KBHDP_el_paso.pkl | Bin 0 -> 338922 bytes ...rs_storage_0_12_temperature_hot_50_102.json | 1 + 2 files changed, 1 insertion(+) create mode 100644 src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/FPC_KBHDP_el_paso.pkl create mode 100644 src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/FPC_KBHDP_el_paso_heat_load_1_25_hours_storage_0_12_temperature_hot_50_102.json diff --git a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/FPC_KBHDP_el_paso.pkl b/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/FPC_KBHDP_el_paso.pkl new file mode 100644 index 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Tue, 17 Dec 2024 17:51:04 -0700 Subject: [PATCH 069/116] black black black black black I ran black --- .../reflo/analysis/case_studies/KBHDP/components/FPC.py | 2 +- src/watertap_contrib/reflo/core/solar_energy_base.py | 6 +++--- .../surrogate/flat_plate/data/pysam_run_flat_plate.py | 4 +++- 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index c8b6d05c..9d5b93a5 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -118,7 +118,7 @@ def set_system_op_conditions(m): def set_fpc_op_conditions(m, hours_storage=6, temperature_hot=80): energy = m.fs.energy - # energy.FPC.load_surrogate() + # energy.FPC.load_surrogate() energy.FPC.hours_storage.fix(hours_storage) # Assumes the hot temperature to the inlet of a 'MD HX' diff --git a/src/watertap_contrib/reflo/core/solar_energy_base.py b/src/watertap_contrib/reflo/core/solar_energy_base.py index a4a0b443..5e16593b 100644 --- a/src/watertap_contrib/reflo/core/solar_energy_base.py +++ b/src/watertap_contrib/reflo/core/solar_energy_base.py @@ -36,8 +36,6 @@ __author__ = "Kurban Sitterley" - - class SolarModelType(StrEnum): surrogate = "surrogate" physical = "physical" @@ -258,7 +256,9 @@ def create_rbf_surrogate(self): self.trainer.config.basis_function = "gaussian" # default = gaussian self.trainer.config.solution_method = "algebraic" # default = algebraic self.trainer.config.regularization = True # default = True - self.log.info(f"Training RBF Surrogate with {self.trainer.config.basis_function} basis function and {self.trainer.config.solution_method} solution method.") + self.log.info( + f"Training RBF Surrogate with {self.trainer.config.basis_function} basis function and {self.trainer.config.solution_method} solution method." + ) self.trained_rbf = self.trainer.train_surrogate() self.log.info(f"Training Complete.") diff --git a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/pysam_run_flat_plate.py b/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/pysam_run_flat_plate.py index 8a87c142..ab97ae80 100644 --- a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/pysam_run_flat_plate.py +++ b/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/pysam_run_flat_plate.py @@ -125,7 +125,9 @@ def run_model(tech_model, heat_load_mwt=None, hours_storage=None, temperature_ho T_cold = tech_model.value("custom_mains")[0] # [C] heat_load = heat_load_mwt * 1e3 if heat_load_mwt is not None else None # [kWt] - print(f"Running:\n\tHeat Load = {heat_load_mwt}\n\tHours Storage = {hours_storage}\n\tTemperature Hot = {temperature_hot}") + print( + f"Running:\n\tHeat Load = {heat_load_mwt}\n\tHours Storage = {hours_storage}\n\tTemperature Hot = {temperature_hot}" + ) if heat_load is not None: # Set heat load (system capacity) From ae8c04086d7435ae29b9273b0ffb504b7cf09c61 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 18 Dec 2024 10:41:53 -0700 Subject: [PATCH 070/116] add KBHDP data directory --- .../analysis/case_studies/KBHDP/__init__.py | 1 + .../KBHDP}/data/FPC_KBHDP_el_paso.pkl | Bin ...s_storage_0_12_temperature_hot_50_102.json | 0 .../case_studies/KBHDP/data/__init__.py | 1 + .../data/el_paso_texas-KBHDP-weather.csv | 8763 +++++ .../KBHDP/data/run_pysam_kbhdp_fpc.py | 465 + .../case_studies/KBHDP/data/swh-kbhdp.json | 26322 ++++++++++++++++ 7 files changed, 35552 insertions(+) rename src/watertap_contrib/reflo/{solar_models/surrogate/flat_plate => analysis/case_studies/KBHDP}/data/FPC_KBHDP_el_paso.pkl (100%) rename src/watertap_contrib/reflo/{solar_models/surrogate/flat_plate => analysis/case_studies/KBHDP}/data/FPC_KBHDP_el_paso_heat_load_1_25_hours_storage_0_12_temperature_hot_50_102.json (100%) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/__init__.py create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/el_paso_texas-KBHDP-weather.csv create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/run_pysam_kbhdp_fpc.py create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/swh-kbhdp.json diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/__init__.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/__init__.py index d65ad365..d0ef6257 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/__init__.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/__init__.py @@ -1,2 +1,3 @@ from .components import * from .utils import * +from .data import * diff --git a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/FPC_KBHDP_el_paso.pkl b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/FPC_KBHDP_el_paso.pkl similarity index 100% rename from src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/FPC_KBHDP_el_paso.pkl rename to src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/FPC_KBHDP_el_paso.pkl diff --git a/src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/FPC_KBHDP_el_paso_heat_load_1_25_hours_storage_0_12_temperature_hot_50_102.json b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/FPC_KBHDP_el_paso_heat_load_1_25_hours_storage_0_12_temperature_hot_50_102.json similarity index 100% rename from src/watertap_contrib/reflo/solar_models/surrogate/flat_plate/data/FPC_KBHDP_el_paso_heat_load_1_25_hours_storage_0_12_temperature_hot_50_102.json rename to src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/FPC_KBHDP_el_paso_heat_load_1_25_hours_storage_0_12_temperature_hot_50_102.json diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/__init__.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/__init__.py new file mode 100644 index 00000000..e1068431 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/__init__.py @@ -0,0 +1 @@ +from .run_pysam_kbhdp_fpc import * diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/el_paso_texas-KBHDP-weather.csv b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/el_paso_texas-KBHDP-weather.csv new file mode 100644 index 00000000..099a3ca8 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/el_paso_texas-KBHDP-weather.csv @@ -0,0 +1,8763 @@ +Source,Location ID,City,State,Country,Latitude,Longitude,Time Zone,Elevation,Local Time Zone,Dew Point Units,DHI Units,DNI Units,GHI Units,Temperature Units,Pressure Units,Wind Direction Units,Wind Speed Units,Surface Albedo Units,Version +NSRDB,64726,-,-,-,31.77,-106.5,-6,1179,-6,c,w/m2,w/m2,w/m2,c,mbar,Degrees,m/s,N/A,3.2.0 +Year,Month,Day,Hour,Minute,DNI,DHI,GHI,Dew Point,Temperature,Pressure,Wind Direction,Wind Speed,Surface Albedo 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Technology +# Laboratory (subject to receipt of any required approvals from the U.S. Dept. +# of Energy). All rights reserved. +# +# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license +# information, respectively. These files are also available online at the URL +# "https://github.com/watertap-org/watertap/" +################################################################################# +import os +import json + +import numpy as np +import pandas as pd +import time +import multiprocessing +from itertools import product +import matplotlib.pyplot as plt +import PySAM.Swh as swh + +__all__ = [ + "read_module_datafile", + "load_config", + "setup_model", + "run_model", + "setup_and_run", + "run_pysam_kbhdp_fpc", +] + + +__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) +weather_file = os.path.join(__location__, "el_paso_texas-KBHDP-weather.csv") +param_file = os.path.join(__location__, "swh-kbhdp.json") + + +def read_module_datafile(file_name): + with open(file_name, "r") as file: + data = json.load(file) + return data + + +def load_config(modules, file_names=None, module_data=None): + """ + Loads parameter values into PySAM modules, either from files or supplied dicts + + :param modules: List of PySAM modules + :param file_names: List of JSON file paths containing parameter values for respective modules + :param module_data: List of dictionaries containing parameter values for respective modules + + :returns: no return value + """ + for i in range(len(modules)): + if file_names is not None: + assert len(file_names) == len(modules) + data = read_module_datafile(file_names[i]) + elif module_data is not None: + assert len(module_data) == len(modules) + data = module_data[i] + else: + raise Exception("Either file_names or module_data must be assigned.") + + missing_values = [] # for debugging + for k, v in data.items(): + if k != "number_inputs": + try: + modules[i].value(k, v) + except: + missing_values.append(k) + pass + + +def system_capacity_computed(tech_model): + """ + Computes the system capacity in kW + + Equation taken from SAM UI + """ + system_capacity = ( + tech_model.value("area_coll") + * tech_model.value("ncoll") + * (tech_model.value("FRta") - tech_model.value("FRUL") * 30 / 1000) + ) + return system_capacity + + +def setup_model( + temperatures, + weather_file=None, + weather_data=None, + config_file=None, + config_data=None, +): + + tech_model = swh.new() + + for k, v in config_data.items(): + tech_model.value(k, v) + + if weather_file is not None: + tech_model.value("solar_resource_file", weather_file) + elif weather_data is not None: + tech_model.value("solar_resource_data", weather_data) + else: + raise Exception("Either weather_file or weather_data must be specified.") + + # Set constant temperatures + tech_model.value("custom_mains", 8760 * (temperatures["T_cold"],)) + + tech_model.value("T_set", temperatures["T_hot"]) + tech_model.value("T_room", temperatures["T_amb"]) + + # Set collector loop mass flow (this should be done automatically in SAM) + tech_model.value( + "mdot", tech_model.value("test_flow") * tech_model.value("ncoll") + ) # [kg/s] + + # Ensure system capacity parameter agreement + system_capacity_actual = system_capacity_computed(tech_model) + tech_model.value("system_capacity", system_capacity_actual) + + return tech_model + + +def run_model(tech_model, heat_load_mwt=None, hours_storage=None, temperature_hot=None): + """ + :param tech_model: PySAM technology model + :param heat_load_mwt: [MWt] + :param hours_storage: [hr] + :param temperature_hot: [C] + """ + cp_water = 4.181 # [kJ/kg-K] + density_water = 1000 # [kg/m3] + pump_power_per_collector = 45 / 2 # [W] + pipe_length_fixed = 9 # [m] + pipe_length_per_collector = 0.5 # [m] + + T_cold = tech_model.value("custom_mains")[0] # [C] + heat_load = heat_load_mwt * 1e3 if heat_load_mwt is not None else None # [kWt] + + print( + f"Running:\n\tHeat Load = {heat_load_mwt}\n\tHours Storage = {hours_storage}\n\tTemperature Hot = {temperature_hot}" + ) + + if heat_load is not None: + # Set heat load (system capacity) + n_collectors = round( + heat_load + / ( + tech_model.value("area_coll") + * (tech_model.value("FRta") - tech_model.value("FRUL") * 30 / 1000) + ) + ) # from SAM UI + tech_model.value("ncoll", n_collectors) + system_capacity_actual = system_capacity_computed(tech_model) + tech_model.value("system_capacity", system_capacity_actual) # [kW] + if temperature_hot is not None: + # Set hot outlet temperature + tech_model.value("T_set", temperature_hot) + if hours_storage is not None: + # Set hours of storage (tank volume) + hours_storage = max(hours_storage, 1e-3) # don't accept 0 hours + system_capacity = tech_model.value("system_capacity") # [kW] + T_hot = tech_model.value("T_set") # [C] + mass_tank_water = ( + hours_storage * 3600 * system_capacity / (cp_water * (T_hot - T_cold)) + ) # [kg] + volume_tank = mass_tank_water / density_water # [m3] + tech_model.value("V_tank", volume_tank) + + # Set collector loop and hot water mass flow rates + mdot_collectors = tech_model.value("test_flow") * tech_model.value("ncoll") + tech_model.value("mdot", mdot_collectors) # [kg/s] + T_hot = tech_model.value("T_set") # [C] + mdot_hot = ( + tech_model.value("system_capacity") / (cp_water * (T_hot - T_cold)) * 3600 + ) # [kg/hr] + tech_model.value("scaled_draw", 8760 * (mdot_hot,)) # [kg/hr] + + # Set pipe diameter and pump power + pipe_length = pipe_length_fixed + pipe_length_per_collector * tech_model.value( + "ncoll" + ) + tech_model.value("pipe_length", pipe_length) # [m] default is 0.019 m + pumping_power = pump_power_per_collector * tech_model.value("ncoll") + tech_model.value("pump_power", pumping_power) # [W] + + tech_model.execute() + + heat_annual = tech_model.value( + "annual_Q_deliv" + ) # [kWh] does not include electric heat, includes losses + electricity_annual = sum(tech_model.value("P_pump")) # [kWh] + frac_electricity_annual = ( + electricity_annual / heat_annual + ) # [-] for analysis only, plant beneficial if < 1 + + return { + "heat_annual": heat_annual, # [kWh] annual net thermal energy in year 1 + "electricity_annual": electricity_annual, # [kWhe] + } + + +def setup_and_run( + temperatures, weather_file, config_data, heat_load, hours_storage, temperature_hot +): + + tech_model = setup_model( + temperatures, weather_file=weather_file, config_data=config_data + ) + result = run_model(tech_model, heat_load, hours_storage, temperature_hot) + return result + + +def plot_contour( + df, x_label, y_label, z_label, units=None, grid=False, countour_lines=False +): + def _set_aspect(ax, aspect): + x_left, x_right = ax.get_xlim() + y_low, y_high = ax.get_ylim() + ax.set_aspect(abs((x_right - x_left) / (y_low - y_high)) * aspect) + + levels = 25 + df2 = df[[x_label, y_label, z_label]].pivot([y_label, x_label, z_label]) + y = df2.index.values + x = df2.columns.values + z = df2.values + fig, ax = plt.subplots(1, 1) + cs = ax.contourf(x, y, z, levels=levels) + if countour_lines: + cl = ax.contour(x, y, z, colors="black", levels=levels) + ax.clabel(cl, colors="black", fmt="%#.4g") + if grid: + ax.grid(color="black") + _set_aspect(ax, 0.5) + fig.colorbar(cs) + + if units is None: + x_units, y_units, z_units = "", "", "" + else: + x_units, y_units, z_units = [" [" + unit + "]" for unit in units] + ax.set_xlabel(x_label + x_units) + ax.set_ylabel(y_label + y_units) + ax.set_title(z_label + z_units) + plt.show() + + +def plot_3d(df, x_label, y_label, z_label, units=None): + fig = plt.figure(figsize=(8, 6)) + ax = fig.add_subplot(1, 1, 1, projection="3d") + surf = ax.plot_trisurf( + df[x_label], df[y_label], df[z_label], cmap=plt.cm.viridis, linewidth=0.2 + ) + + if units is None: + x_units, y_units, z_units = "", "", "" + else: + x_units, y_units, z_units = [" [" + unit + "]" for unit in units] + ax.set_xlabel(x_label + x_units) + ax.set_ylabel(y_label + y_units) + ax.set_title(z_label + z_units) + plt.show() + + +def plot_2d(df, x_label, y_label, units=None): + fig = plt.figure(figsize=(8, 6)) + ax = fig.add_subplot(1, 1, 1) + surf = ax.plot(df[x_label], df[y_label]) + + if units is None: + x_units, y_units = "", "" + else: + x_units, y_units = [" [" + unit + "]" for unit in units] + ax.set_xlabel(x_label + x_units) + ax.set_ylabel(y_label + y_units) + plt.show() + + +def plot_contours(df): + plot_contour( + df.query("temperature_hot == 70"), + "heat_load", + "hours_storage", + "heat_annual", + units=["MWt", "hr", "kWht"], + ) + plot_contour( + df.query("hours_storage == 12"), + "heat_load", + "temperature_hot", + "heat_annual", + units=["MWt", "C", "kWht"], + ) + plot_contour( + df.query("heat_load == 500"), + "hours_storage", + "temperature_hot", + "heat_annual", + units=["hr", "C", "kWht"], + ) + plot_contour( + df.query("temperature_hot == 70"), + "heat_load", + "hours_storage", + "electricity_annual", + units=["MWt", "hr", "kWhe"], + ) + plot_contour( + df.query("hours_storage == 12"), + "heat_load", + "temperature_hot", + "electricity_annual", + units=["MWt", "C", "kWhe"], + ) + plot_contour( + df.query("heat_load == 500"), + "hours_storage", + "temperature_hot", + "electricity_annual", + units=["hr", "C", "kWhe"], + ) + + +def plot_3ds(df): + plot_3d( + df.query("temperature_hot == 70"), + "heat_load", + "hours_storage", + "heat_annual", + units=["MWt", "hr", "kWht"], + ) + plot_3d( + df.query("hours_storage == 12"), + "heat_load", + "temperature_hot", + "heat_annual", + units=["MWt", "C", "kWht"], + ) + plot_3d( + df.query("heat_load == 6"), + "hours_storage", + "temperature_hot", + "heat_annual", + units=["hr", "C", "kWht"], + ) + plot_3d( + df.query("temperature_hot == 70"), + "heat_load", + "hours_storage", + "electricity_annual", + units=["MWt", "hr", "kWhe"], + ) + plot_3d( + df.query("hours_storage == 6"), + "heat_load", + "temperature_hot", + "electricity_annual", + units=["MWt", "C", "kWhe"], + ) + plot_3d( + df.query("heat_load == 6"), + "hours_storage", + "temperature_hot", + "electricity_annual", + units=["hr", "C", "kWhe"], + ) + + +def run_pysam_kbhdp_fpc( + heat_loads=np.linspace(1, 25, 25), + hours_storages=np.linspace(0, 12, 13), + temperature_hots=np.arange(50, 102, 2), + temperature_cold=20, + plot_saved_dataset=False, + run_pysam=True, + save_data=True, + use_multiprocessing=True, + dataset_filename="FPC_KBHDP_el_paso.pkl", +): + """ + Run PySAM to collect data for FPC surrogate model + for KBHPD case study + """ + + pysam_model_name = "SolarWaterHeatingCommercial" + + temperatures = { + "T_cold": temperature_cold, + "T_hot": 70, # this will be overwritten by temperature_hot value + "T_amb": 18, + } + + dataset_filename = os.path.join(os.path.dirname(__file__), dataset_filename) + config_data = read_module_datafile(param_file) + + if "solar_resource_file" in config_data: + del config_data["solar_resource_file"] + tech_model = setup_model( + temperatures=temperatures, + weather_file=weather_file, + config_data=config_data, + ) + + # Run pysam + data = [] + if run_pysam: + if use_multiprocessing: + arguments = list(product(heat_loads, hours_storages, temperature_hots)) + df = pd.DataFrame( + arguments, columns=["heat_load", "hours_storage", "temperature_hot"] + ) + + time_start = time.process_time() + with multiprocessing.Pool(processes=6) as pool: + args = [ + (temperatures, weather_file, config_data, *args) + for args in arguments + ] + results = pool.starmap(setup_and_run, args) + time_stop = time.process_time() + print("Multiprocessing time:", time_stop - time_start, "\n") + + df_results = pd.DataFrame(results) + df = pd.concat( + [ + df, + df_results[ + [ + "heat_annual", + "electricity_annual", + ] + ], + ], + axis=1, + ) + else: + comb = [ + (hl, hs, th) + for hl in heat_loads + for hs in hours_storages + for th in temperature_hots + ] + for heat_load, hours_storage, temperature_hot in comb: + result = run_model( + tech_model, heat_load, hours_storage, temperature_hot + ) + data.append( + [ + heat_load, + hours_storage, + temperature_hot, + result["heat_annual"], + result["electricity_annual"], + ] + ) + df = pd.DataFrame(data, columns=["heat_annual", "electricity_annual"]) + + if save_data: + df.to_pickle(dataset_filename) + + +if __name__ == "__main__": + + run_pysam_kbhdp_fpc(dataset_filename="test.pkl") diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/swh-kbhdp.json b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/swh-kbhdp.json new file mode 100644 index 00000000..cc14dd35 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/swh-kbhdp.json @@ -0,0 +1,26322 @@ +{ + "scaled_draw": [ + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 58.8616, + 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+ 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50, + 50 + ], + "constant": 0 +} \ No newline at end of file From 42d9d3b65af7bc567a39d1515c48ab33cc033933 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 18 Dec 2024 13:11:57 -0700 Subject: [PATCH 071/116] ignore svg, jpg --- .gitignore | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index de9e2db9..a0b837b9 100644 --- a/.gitignore +++ b/.gitignore @@ -150,4 +150,6 @@ auto-save-list # other *.json -*.h5 \ No newline at end of file +*.h5 +*.svg +*.jpg \ No newline at end of file From dfbc3cb3666920e696471b3825337f2b2bb5846d Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 18 Dec 2024 13:12:14 -0700 Subject: [PATCH 072/116] uncomment sweeps --- .../KBHDP/sweep_yamls/KBHDP_RPT_2.yaml | 108 +++++++++--------- 1 file changed, 54 insertions(+), 54 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_2.yaml b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_2.yaml index 7559cdef..1977ff1e 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_2.yaml +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/sweep_yamls/KBHDP_RPT_2.yaml @@ -1,35 +1,35 @@ -# KBHDP_RPT_2_frac_heat_from_grid_sweep: -# build_defaults: -# grid_frac_heat: 0.5 -# sweep_param_loop: -# frac_heat_from_grid: -# type: LinearSample -# param: fs.costing.frac_heat_from_grid -# lower_limit: 0.1 -# upper_limit: 0.9 -# num_samples: 2 -# KBHDP_RPT_2_fpc_cost_sweep: -# build_defaults: -# heat_price: 0.01 -# water_recovery: 0.35 -# sweep_param_loop: -# fpc_cost: -# type: LinearSample -# param: fs.energy.costing.flat_plate.fixed_operating_by_capacity -# lower_limit: 1 -# upper_limit: 15 -# num_samples: 2 -# KBHDP_RPT_2_heat_price_sweep: -# build_defaults: -# heat_price: 0.01 -# water_recovery: 0.35 -# sweep_param_loop: -# heat_cost_buy: -# type: LinearSample -# param: fs.costing.heat_cost_buy -# lower_limit: 0.005 -# upper_limit: 0.015 -# num_samples: 11 +KBHDP_RPT_2_frac_heat_from_grid_sweep: + build_defaults: + grid_frac_heat: 0.5 + sweep_param_loop: + frac_heat_from_grid: + type: LinearSample + param: fs.costing.frac_heat_from_grid + lower_limit: 0.1 + upper_limit: 0.9 + num_samples: 11 +KBHDP_RPT_2_fpc_cost_sweep: + build_defaults: + heat_price: 0.01 + water_recovery: 0.35 + sweep_param_loop: + fpc_cost: + type: LinearSample + param: fs.energy.costing.flat_plate.fixed_operating_by_capacity + lower_limit: 1 + upper_limit: 15 + num_samples: 11 +KBHDP_RPT_2_heat_price_sweep: + build_defaults: + heat_price: 0.01 + water_recovery: 0.35 + sweep_param_loop: + heat_cost_buy: + type: LinearSample + param: fs.costing.heat_cost_buy + lower_limit: 0.005 + upper_limit: 0.015 + num_samples: 11 KBHDP_RPT_2_collector_cost_sweep: build_defaults: heat_price: 0.00894 @@ -41,25 +41,25 @@ KBHDP_RPT_2_collector_cost_sweep: lower_limit: 0 upper_limit: 600 num_samples: 11 -# KBHDP_RPT_2_water_recovery_sweep: -# build_defaults: -# grid_frac_heat: 0.5 -# water_recovery: 0.4 -# sweep_param_loop: -# water_recovery: -# type: LinearSample -# param: fs.water_recovery -# lower_limit: 0.3 -# upper_limit: 0.45 -# num_samples: 2 -# KBHDP_RPT_2_disposal_cost_sweep: -# build_defaults: -# grid_frac_heat: 0.5 -# water_recovery: 0.4 -# sweep_param_loop: -# disposal_cost: -# type: LinearSample -# param: fs.treatment.costing.deep_well_injection.dwi_lcow -# lower_limit: 0.05 -# upper_limit: 0.1 -# num_samples: 2 \ No newline at end of file +KBHDP_RPT_2_water_recovery_sweep: + build_defaults: + grid_frac_heat: 0.5 + water_recovery: 0.4 + sweep_param_loop: + water_recovery: + type: LinearSample + param: fs.water_recovery + lower_limit: 0.3 + upper_limit: 0.45 + num_samples: 11 +KBHDP_RPT_2_disposal_cost_sweep: + build_defaults: + grid_frac_heat: 0.5 + water_recovery: 0.4 + sweep_param_loop: + disposal_cost: + type: LinearSample + param: fs.treatment.costing.deep_well_injection.dwi_lcow + lower_limit: 0.05 + upper_limit: 0.1 + num_samples: 11 \ No newline at end of file From 45abe62c113682e147017d47740a2aa23784831c Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 18 Dec 2024 13:56:08 -0700 Subject: [PATCH 073/116] black rpt3 --- .../reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index 964f240c..a825a9cc 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -93,7 +93,8 @@ def build_system(inlet_cond, n_time_points): m.fs.treatment.md = FlowsheetBlock(dynamic=False) build_md( - m, m.fs.treatment.md, + m, + m.fs.treatment.md, ) m.fs.treatment.dwi = FlowsheetBlock(dynamic=False) build_DWI(m, m.fs.treatment.dwi, m.fs.params) @@ -353,9 +354,7 @@ def main( n_time_points = None # Build MD, DWI and FPC - m = build_system( - inlet_cond, n_time_points=n_time_points - ) + m = build_system(inlet_cond, n_time_points=n_time_points) set_inlet_conditions(m.fs, inlet_cond, model_options) From 76ce711b9cb5babae0c1d0a72fa0ad2c29228a5f Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 18 Dec 2024 17:59:08 -0700 Subject: [PATCH 074/116] add **kwargs to mp fs build func --- .../vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py b/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py index 544e736c..ba0fed42 100644 --- a/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py +++ b/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py @@ -132,6 +132,7 @@ def build_VAGMD_batch_multiperiod_fs( module_type="AS7C1.5L", cooling_system_type="closed", cooling_inlet_temp=25, # 20 - feed_temp deg C, not required when cooling system type is "closed" + **kwargs ): """ This function builds a multiperiod flowsheet of the VAGMD system @@ -489,3 +490,9 @@ def get_multiperiod_performance(mp): assert_optimal_termination(results) print("Overall LCOW ($/m3): ", value(m.costing.LCOW)) + + +if __name__ == "__main__": + m = ConcreteModel() + build_VAGMD_batch_multiperiod_fs(m) + \ No newline at end of file From fc2fc975cd8063e3cdb92d7d444a92560d80706e Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 18 Dec 2024 17:59:57 -0700 Subject: [PATCH 075/116] RPT 3 working --- .../case_studies/KBHDP/KBHDP_RPT_3.py | 333 ++++++++---------- .../analysis/case_studies/KBHDP/KBHDP_SOA.py | 12 +- .../case_studies/KBHDP/components/FPC.py | 62 +--- .../case_studies/KBHDP/components/MD.py | 154 ++++---- .../KBHDP/components/deep_well_injection.py | 2 +- 5 files changed, 235 insertions(+), 328 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py index a825a9cc..126fe898 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_RPT_3.py @@ -23,7 +23,8 @@ from idaes.core import FlowsheetBlock, UnitModelCostingBlock, MaterialFlowBasis from idaes.core.solvers import get_solver from idaes.core.util.initialization import propagate_state as _prop_state -import idaes.core.util.scaling as iscale + +# import idaes.core.util.scaling as iscale from idaes.core.util.scaling import ( constraint_scaling_transform, calculate_scaling_factors, @@ -47,6 +48,7 @@ from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.MD import * from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.FPC import * from watertap_contrib.reflo.analysis.case_studies.KBHDP.components.deep_well_injection import * +from watertap_contrib.reflo.analysis.case_studies.KBHDP.utils import * import pandas as pd import pathlib @@ -58,7 +60,6 @@ "build_system", "add_connections", "add_costing", - "calc_costing", "add_system_costing", "set_inlet_conditions", "set_operating_conditions", @@ -66,72 +67,107 @@ "print_results_summary", ] +__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) +weather_file = os.path.join(__location__, "el_paso_texas-KBHDP-weather.csv") +param_file = os.path.join(__location__, "swh-kbhdp.json") + def propagate_state(arc): _prop_state(arc) -def build_system(inlet_cond, n_time_points): +def build_system(Qin=4, Cin=12, water_recovery=0.5): m = ConcreteModel() - m.fs = FlowsheetBlock(dynamic=False) + m.fs = FlowsheetBlock() m.fs.treatment = Block() m.fs.energy = Block() + m.inlet_flow_rate = pyunits.convert( + Qin * pyunits.Mgallons / pyunits.day, to_units=pyunits.m**3 / pyunits.s + ) + m.inlet_salinity = pyunits.convert( + Cin * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.m**3 + ) + m.water_recovery = water_recovery + m.fs.treatment.costing = TreatmentCosting() m.fs.energy.costing = EnergyCosting() # Property package - m.fs.params = SeawaterParameterBlock() + m.fs.properties = SeawaterParameterBlock() # Create feed, product and concentrate state blocks - m.fs.feed = Feed(property_package=m.fs.params) - m.fs.product = Product(property_package=m.fs.params) - # m.fs.disposal = Product(property_package=m.fs.params) + m.fs.treatment.feed = Feed(property_package=m.fs.properties) + m.fs.treatment.product = Product(property_package=m.fs.properties) + # m.fs.disposal = Product(property_package=m.fs.properties) # Create MD unit model at flowsheet level - m.fs.treatment.md = FlowsheetBlock(dynamic=False) + m.fs.treatment.md = FlowsheetBlock() build_md( m, m.fs.treatment.md, ) - m.fs.treatment.dwi = FlowsheetBlock(dynamic=False) - build_DWI(m, m.fs.treatment.dwi, m.fs.params) + m.fs.treatment.dwi = FlowsheetBlock() + build_DWI(m, m.fs.treatment.dwi, m.fs.properties) - m.fs.energy.FPC = FlowsheetBlock(dynamic=False) + m.fs.energy.FPC = FlowsheetBlock() build_fpc(m) - add_connections(m) - # return m, model_options, n_time_points return m def add_connections(m): - # m.fs.feed_to_md = Arc( - # source=m.fs.feed.outlet, destination=m.fs.treatment.md.feed.inlet - # ) + treatment = m.fs.treatment + + treatment.feed_to_md = Arc( + source=treatment.feed.outlet, destination=treatment.md.feed.inlet + ) - m.fs.md_to_product = Arc( - source=m.fs.treatment.md.permeate.outlet, destination=m.fs.product.inlet + treatment.md_to_product = Arc( + source=treatment.md.permeate.outlet, destination=treatment.product.inlet ) - m.fs.md_to_dwi = Arc( - source=m.fs.treatment.md.concentrate.outlet, - destination=m.fs.treatment.dwi.unit.inlet, + treatment.md_to_dwi = Arc( + source=treatment.md.concentrate.outlet, + destination=treatment.dwi.unit.inlet, ) TransformationFactory("network.expand_arcs").apply_to(m) -def add_costing(m, treatment_costing_block, energy_costing_block): +def add_costing(m, treatment_costing_block=None, energy_costing_block=None): # Solving the system before adding costing - solver = SolverFactory("ipopt") + # solver = SolverFactory("ipopt") + if treatment_costing_block is None: + treatment_costing_block = m.fs.treatment.costing + if energy_costing_block is None: + energy_costing_block = m.fs.energy.costing + solver = get_solver() solve(m, solver=solver, tee=False) - add_fpc_costing(m.fs.energy.fpc, energy_costing_block) - add_md_costing(m.fs.treatment.md.unit, treatment_costing_block) - add_DWI_costing(m.fs.treatment, m.fs.treatment.dwi, treatment_costing_block) + add_fpc_costing(m, costing_block=energy_costing_block) + add_md_costing(m.fs.treatment.md.mp, treatment_costing_block) + add_DWI_costing( + m.fs.treatment, m.fs.treatment.dwi, costing_blk=treatment_costing_block + ) + # System costing + treatment_costing_block.cost_process() + energy_costing_block.cost_process() + m.fs.costing = REFLOSystemCosting() + m.fs.costing.cost_process() + + print("\n--------- INITIALIZING SYSTEM COSTING ---------\n") + + treatment_costing_block.initialize() + energy_costing_block.initialize() + m.fs.costing.initialize() + m.fs.costing.add_annual_water_production( + m.fs.treatment.product.properties[0].flow_vol + ) + m.fs.costing.add_LCOT(m.fs.treatment.product.properties[0].flow_vol) + m.fs.costing.add_LCOH() def calc_costing(m, heat_price=0.01, electricity_price=0.07): @@ -160,84 +196,83 @@ def calc_costing(m, heat_price=0.01, electricity_price=0.07): m.fs.energy.costing.add_LCOH() -def add_system_costing( - m, heat_price=0.01, electricity_price=0.07, frac_heat_from_grid=0.01 -): - # System costing - m.fs.sys_costing = REFLOSystemCosting() - m.fs.sys_costing.frac_heat_from_grid.fix(frac_heat_from_grid) - m.fs.sys_costing.heat_cost_buy.set_value(heat_price) - m.fs.sys_costing.electricity_cost_buy.set_value(electricity_price) - m.fs.sys_costing.cost_process() +def add_constraints(m): + treatment = m.fs.treatment - # Unfix heat_load in FPC - m.fs.energy.fpc.unit.heat_load.unfix() + m.fs.water_recovery = Var( + initialize=m.water_recovery, + bounds=(0, 0.99), + domain=NonNegativeReals, + units=pyunits.dimensionless, + doc="System Water Recovery", + ) + + m.fs.eq_water_recovery = Constraint( + expr=treatment.feed.properties[0].flow_vol * m.fs.water_recovery + == treatment.product.properties[0].flow_vol + ) - print("\n--------- INITIALIZING SYSTEM COSTING ---------\n") - m.fs.sys_costing.initialize() - m.fs.sys_costing.add_annual_water_production(m.fs.product.properties[0].flow_vol) - m.fs.sys_costing.add_LCOT(m.fs.product.properties[0].flow_vol) - m.fs.sys_costing.add_LCOH() +def set_scaling(m): + + m.fs.properties.set_default_scaling( + "flow_mass_phase_comp", 0.1, index=("Liq", "H2O") + ) + m.fs.properties.set_default_scaling("flow_mass_phase_comp", 1, index=("Liq", "TDS")) + + calculate_scaling_factors(m) + + +def set_inlet_conditions(m): -def set_inlet_conditions(blk, inlet_cond, model_options): - # This feed variable is basically used to set print(f'\n{"=======> SETTING FEED CONDITIONS <=======":^60}\n') - feed_flow_rate = model_options["feed_flow_rate"] - feed_salinity = model_options["feed_salinity"] - feed_temp = model_options["feed_temp"] - blk.feed.properties.calculate_state( + m.fs.treatment.feed.properties.calculate_state( var_args={ - ("flow_vol_phase", "Liq"): pyunits.convert( - feed_flow_rate * pyunits.L / pyunits.h, - to_units=pyunits.m**3 / pyunits.s, - ), - ("conc_mass_phase_comp", ("Liq", "TDS")): feed_salinity, - ("temperature", None): feed_temp + 273.15, + ("flow_vol_phase", "Liq"): m.inlet_flow_rate, + ("conc_mass_phase_comp", ("Liq", "TDS")): m.inlet_salinity, + ("temperature", None): 298.15, ("pressure", None): 101325, }, hold_state=True, ) -def set_operating_conditions(m, model_options, hours_storage=8): +def set_operating_conditions(m, hours_storage=8): + set_inlet_conditions(m) + set_fpc_op_conditions(m, hours_storage=hours_storage, temperature_hot=80) - set_md_op_conditions(m.fs.treatment.md, model_options) - set_fpc_op_conditions( - m.fs.energy.fpc, hours_storage=hours_storage, temperature_hot=80 - ) - -def init_system(m, blk, model_options, n_time_points, verbose=True, solver=None): +def init_system(m, blk, verbose=True, solver=None): if solver is None: solver = get_solver() - optarg = solver.options + treatment = m.fs.treatment print("\n\n-------------------- INITIALIZING SYSTEM --------------------\n\n") print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") - m.fs.feed.initialize() - # propagate_state(m.fs.feed_to_md) + treatment.feed.initialize() - init_md(blk.treatment.md, model_options, n_time_points) + init_md(treatment.md) - propagate_state(m.fs.md_to_product) - m.fs.product.initialize() + propagate_state(treatment.md_to_product) + treatment.product.initialize() - propagate_state(m.fs.md_to_dwi) + propagate_state(treatment.md_to_dwi) # m.fs.disposal.initialize() init_DWI(m, blk.treatment.dwi, verbose=True, solver=None) - init_fpc(blk.energy.fpc) + init_fpc(m.fs.energy) def solve(m, solver=None, tee=True, raise_on_failure=True): # ---solving--- if solver is None: solver = get_solver() + # solver.options["max_iter"] = 5000 + # solver.options["halt_on_ampl_error"] = "yes" print("\n--------- SOLVING ---------\n") @@ -260,11 +295,11 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): def optimize(m): - m.fs.sys_costing.frac_heat_from_grid.unfix() - m.fs.obj = Objective(expr=(m.fs.sys_costing.LCOT)) + m.fs.costing.frac_heat_from_grid.unfix() + m.fs.obj = Objective(expr=m.fs.costing.LCOT) -def report_sys_costing(blk): +def report_costing(blk): print(f"\n\n-------------------- System Costing Report --------------------\n") print("\n") @@ -320,22 +355,6 @@ def report_sys_costing(blk): ) -def set_inlet_stream_conditions(Qinput=4, feed_salinity_input=12, water_recovery=0.5): - Qin = Qinput * pyunits.Mgal / pyunits.day # KBHDP flow rate - Qin = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.day) - - feed_salinity = feed_salinity_input * pyunits.g / pyunits.L - # water_recovery = 0.5 - - inlet_cond = { - "inlet_flow_rate": Qin, - "inlet_salinity": feed_salinity, - "recovery": water_recovery, - } - - return inlet_cond - - def main( water_recovery=0.5, heat_price=0.07, @@ -344,55 +363,26 @@ def main( hours_storage=8, run_optimization=True, ): - solver = get_solver() - solver = SolverFactory("ipopt") - - inlet_cond = set_inlet_stream_conditions( - Qinput=4, feed_salinity_input=12, water_recovery=water_recovery - ) - - n_time_points = None - # Build MD, DWI and FPC - m = build_system(inlet_cond, n_time_points=n_time_points) - - set_inlet_conditions(m.fs, inlet_cond, model_options) - - init_system(m, m.fs, model_options, n_time_points) - - set_operating_conditions(m, model_options, hours_storage) - - print(f"\nBefore Costing System Degrees of Freedom: {degrees_of_freedom(m)}") - - # m.fs.disposal.properties[0].flow_vol_phase - - add_costing( - m, - treatment_costing_block=m.fs.treatment.costing, - energy_costing_block=m.fs.energy.costing, - ) - - calc_costing(m, heat_price, electricity_price) - add_system_costing(m, heat_price, electricity_price, frac_heat_from_grid) - - # add_energy_constraints(m) - - print(f"\nAfter Costing System Degrees of Freedom: {degrees_of_freedom(m)}") - - # results = solver.solve(m) - solve(m, solver=solver, tee=False) - - print_infeasible_constraints(m) - - print(f"\nAfter Solve System Degrees of Freedom: {degrees_of_freedom(m)}") - - print_results_summary(m) - - if run_optimization: - optimize(m) - solve(m, solver=solver, tee=False) - - return m + m = build_system() + add_connections(m) + add_constraints(m) + set_operating_conditions(m) + set_scaling(m) + # check_jac(m) + init_system(m, m.fs) + print(f"dof = {degrees_of_freedom(m)}") + results = solve(m.fs.treatment.md.mp) + # results = solve(m.fs.treatment.md) + # results = solve(m.fs.treatment) + # results = solve(m.fs.energy) + results = solve(m) + print(f"termination {results.solver.termination_condition}") + add_costing(m) + + print(f"dof = {degrees_of_freedom(m)}") + results = solve(m) + print(f"termination 2 {results.solver.termination_condition}") def print_results_summary(m): @@ -411,12 +401,12 @@ def print_results_summary(m): print("\n") print( - f'{"System LCOT":<30s}{value(m.fs.sys_costing.LCOT) :<10.2f}{pyunits.get_units(m.fs.sys_costing.LCOT)}' + f'{"System LCOT":<30s}{value(m.fs.costing.LCOT) :<10.2f}{pyunits.get_units(m.fs.costing.LCOT)}' ) print("\n") print( - f'{"Percent from the grid":<30s}{value(m.fs.sys_costing.frac_heat_from_grid):<10.2f}{pyunits.get_units(m.fs.sys_costing.frac_heat_from_grid)}' + f'{"Percent from the grid":<30s}{value(m.fs.costing.frac_heat_from_grid):<10.2f}{pyunits.get_units(m.fs.costing.frac_heat_from_grid)}' ) report_MD(m, m.fs.treatment.md) @@ -426,7 +416,7 @@ def print_results_summary(m): report_fpc(m, m.fs.energy.fpc.unit) report_fpc_costing(m, m.fs.energy) - report_sys_costing(m.fs.sys_costing) + report_costing(m.fs.costing) def save_results(m): @@ -450,13 +440,13 @@ def save_results(m): capex_output = { "FPC": value(m.fs.energy.fpc.unit.costing.capital_cost) - * value(m.fs.sys_costing.capital_recovery_factor), + * value(m.fs.costing.capital_recovery_factor), "MD": value( m.fs.treatment.md.unit.get_active_process_blocks()[ -1 ].fs.vagmd.costing.capital_cost ) - * value(m.fs.sys_costing.capital_recovery_factor), + * value(m.fs.costing.capital_recovery_factor), "DWI": 0, "Heat": 0, "Electricity": 0, @@ -485,23 +475,21 @@ def save_results(m): "FPC": 0, "MD": 0, "DWI": value(m.fs.treatment.dwi.unit.costing.variable_operating_cost), - "Heat": value(m.fs.sys_costing.total_heat_operating_cost), - "Electricity": value(m.fs.sys_costing.total_electric_operating_cost), + "Heat": value(m.fs.costing.total_heat_operating_cost), + "Electricity": value(m.fs.costing.total_electric_operating_cost), } for unit in ["FPC", "MD", "DWI", "Heat", "Electricity"]: # Add fixed_opex temp = { "water_recovery": value(m.fs.water_recovery), - "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "heat_price": value(m.fs.costing.heat_cost_buy), "LCOH": value(m.fs.energy.costing.LCOH), "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), - "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), - "product_annual_production": value( - m.fs.sys_costing.annual_water_production - ), - "utilization_factor": value(m.fs.sys_costing.utilization_factor), - "capital_recovery_factor": value(m.fs.sys_costing.capital_recovery_factor), + "frac_heat_from_grid": value(m.fs.costing.frac_heat_from_grid), + "product_annual_production": value(m.fs.costing.annual_water_production), + "utilization_factor": value(m.fs.costing.utilization_factor), + "capital_recovery_factor": value(m.fs.costing.capital_recovery_factor), "unit": unit, "cost_component": "fixed_opex", "cost": fixed_opex_output[unit], @@ -510,15 +498,13 @@ def save_results(m): # Add variable opex temp = { "water_recovery": value(m.fs.water_recovery), - "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "heat_price": value(m.fs.costing.heat_cost_buy), "LCOH": value(m.fs.energy.costing.LCOH), "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), - "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), - "product_annual_production": value( - m.fs.sys_costing.annual_water_production - ), - "utilization_factor": value(m.fs.sys_costing.utilization_factor), - "capital_recovery_factor": value(m.fs.sys_costing.capital_recovery_factor), + "frac_heat_from_grid": value(m.fs.costing.frac_heat_from_grid), + "product_annual_production": value(m.fs.costing.annual_water_production), + "utilization_factor": value(m.fs.costing.utilization_factor), + "capital_recovery_factor": value(m.fs.costing.capital_recovery_factor), "unit": unit, "cost_component": "variable_opex", "cost": variable_opex_output[unit], @@ -528,15 +514,13 @@ def save_results(m): # Add opex temp = { "water_recovery": value(m.fs.water_recovery), - "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "heat_price": value(m.fs.costing.heat_cost_buy), "LCOH": value(m.fs.energy.costing.LCOH), "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), - "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), - "product_annual_production": value( - m.fs.sys_costing.annual_water_production - ), - "utilization_factor": value(m.fs.sys_costing.utilization_factor), - "capital_recovery_factor": value(m.fs.sys_costing.capital_recovery_factor), + "frac_heat_from_grid": value(m.fs.costing.frac_heat_from_grid), + "product_annual_production": value(m.fs.costing.annual_water_production), + "utilization_factor": value(m.fs.costing.utilization_factor), + "capital_recovery_factor": value(m.fs.costing.capital_recovery_factor), "unit": unit, "cost_component": "opex", "cost": variable_opex_output[unit] + fixed_opex_output[unit], @@ -546,15 +530,13 @@ def save_results(m): # Add capex temp = { "water_recovery": value(m.fs.water_recovery), - "heat_price": value(m.fs.sys_costing.heat_cost_buy), + "heat_price": value(m.fs.costing.heat_cost_buy), "LCOH": value(m.fs.energy.costing.LCOH), "hours_storage": value(m.fs.energy.fpc.unit.hours_storage), - "frac_heat_from_grid": value(m.fs.sys_costing.frac_heat_from_grid), - "product_annual_production": value( - m.fs.sys_costing.annual_water_production - ), - "utilization_factor": value(m.fs.sys_costing.utilization_factor), - "capital_recovery_factor": value(m.fs.sys_costing.capital_recovery_factor), + "frac_heat_from_grid": value(m.fs.costing.frac_heat_from_grid), + "product_annual_production": value(m.fs.costing.annual_water_production), + "utilization_factor": value(m.fs.costing.utilization_factor), + "capital_recovery_factor": value(m.fs.costing.capital_recovery_factor), "unit": unit, "cost_component": "capex", "cost": capex_output[unit], @@ -571,7 +553,7 @@ def save_results(m): "RPT3_water_recovery_" + str(value(m.fs.water_recovery)) + "_heat_price_" - + str(value(m.fs.sys_costing.heat_cost_buy)) + + str(value(m.fs.costing.heat_cost_buy)) + "_hours_storage_" + str(value(m.fs.energy.fpc.unit.hours_storage)) ) @@ -586,7 +568,7 @@ def save_results(m): if __name__ == "__main__": - m = main( + main( water_recovery=0.8, heat_price=0.08, electricity_price=0.07, @@ -594,6 +576,3 @@ def save_results(m): hours_storage=6, run_optimization=False, ) - - # save_results(m) - print_results_summary(m) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py index d4699347..4e331fba 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/KBHDP_SOA.py @@ -325,19 +325,11 @@ def define_inlet_composition(m): def set_inlet_conditions( m, - Qin=None, - Cin=None, + Qin=4, water_recovery=None, supply_pressure=101325, ): - """Sets operating condition for the PV-RO system - - Args: - m (obj): Pyomo model - flow_in (float, optional): feed volumetric flow rate [m3/s]. Defaults to 1e-2. - conc_in (int, optional): solute concentration [g/L]. Defaults to 30. - water_recovery (float, optional): water recovery. Defaults to 0.5. - """ + print(f'\n{"=======> SETTING OPERATING CONDITIONS <=======":^60}\n') treatment = m.fs.treatment diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py index 9d5b93a5..fbd00b1e 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/FPC.py @@ -44,13 +44,22 @@ "report_fpc", "print_FPC_costing_breakdown", ] +__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) +parent_dir = os.path.abspath(os.path.join(__location__, "..")) +weather_file = os.path.join(parent_dir, "el_paso_texas-KBHDP-weather.csv") +param_file = os.path.join(parent_dir, "swh-kbhdp.json") +dataset_filename = os.path.join(parent_dir, "data/FPC_KBHDP_el_paso.pkl") +surrogate_filename = os.path.join( + parent_dir, + "data/FPC_KBHDP_el_paso_heat_load_1_25_hours_storage_0_12_temperature_hot_50_102.json", +) def build_system(): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) m.fs.costing = EnergyCosting() - energy = m.fs.energy = Block() + m.fs.energy = Block() m.fs.system_capacity = Var(initialize=6000, units=pyunits.m**3 / pyunits.day) @@ -63,27 +72,9 @@ def build_fpc(m): energy = m.fs.energy print(f'\n{"=======> BUILDING FPC SYSTEM <=======":^60}\n') - parent_dir = os.path.abspath( - os.path.join(os.path.abspath(__file__), "..", "..", "..", "..", "..") - ) - - surrogate_dir = os.path.join( - parent_dir, - "solar_models", - "surrogate", - "flat_plate", - "data", - ) - - dataset_filename = os.path.join(surrogate_dir, "FPC_Heat_Load.pkl") - - surrogate_filename = os.path.join( - surrogate_dir, - "flat_plate_data_heat_load_1_400_heat_load_1_400_hours_storage_0_27_temperature_hot_50_102.json", - ) input_bounds = dict( - heat_load=[1, 400], hours_storage=[0, 27], temperature_hot=[50, 102] + heat_load=[1, 25], hours_storage=[0, 12], temperature_hot=[50, 102] ) input_units = dict(heat_load="MW", hours_storage="hour", temperature_hot="degK") input_variables = { @@ -108,8 +99,7 @@ def build_fpc(m): def init_fpc(blk): - energy = m.fs.energy - energy.FPC.initialize() + blk.FPC.initialize() def set_system_op_conditions(m): @@ -125,9 +115,7 @@ def set_fpc_op_conditions(m, hours_storage=6, temperature_hot=80): energy.FPC.temperature_hot.fix(temperature_hot) # Assumes the cold temperature from the outlet temperature of a 'MD HX' energy.FPC.temperature_cold.set_value(20) - energy.FPC.heat_load.fix(1) - - energy.FPC.initialize() + energy.FPC.heat_load.fix(10) def add_fpc_costing(m, costing_block=None): @@ -139,8 +127,6 @@ def add_fpc_costing(m, costing_block=None): flowsheet_costing_block=energy.costing, ) - # constraint_scaling_transform(energy.costing.fixed_operating_cost_constraint, 1e-6) - def add_FPC_scaling(m, blk): set_scaling_factor(blk.heat_annual_scaled, 1e2) @@ -151,15 +137,6 @@ def add_FPC_scaling(m, blk): constraint_scaling_transform(blk.electricity_constraint, 1e-4) -def calc_costing(m): - blk.costing.heat_cost.set_value(0) - blk.costing.cost_process() - blk.costing.initialize() - - # TODO: Connect to the treatment volume - # blk.costing.add_LCOW(m.fs.system_capacity) - - def breakdown_dof(blk): equalities = [c for c in activated_equalities_generator(blk)] active_vars = variables_in_activated_equalities_set(blk) @@ -324,21 +301,14 @@ def solve(m, solver=None, tee=True, raise_on_failure=True, debug=False): if __name__ == "__main__": solver = get_solver() - solver = SolverFactory("ipopt") + # solver = SolverFactory("ipopt") m = build_system() build_fpc(m) set_fpc_op_conditions(m) add_FPC_scaling(m, m.fs.energy.FPC) - init_fpc(m) + init_fpc(m.fs.energy) add_fpc_costing(m) - # calc_costing(m, m.fs) - # m.fs.costing.aggregate_flow_heat.fix(-4000) - results = solve(m, debug=True) - - # # print(degrees_of_freedom(m)) - # report_fpc(m) - # print(m.fs.energy.FPC.costing.display()) - # print_FPC_costing_breakdown(m, m.fs.energy.FPC) + results = solve(m) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 194ba71f..9f99dda9 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -57,6 +57,7 @@ from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_multiperiod_flowsheet import ( get_vagmd_batch_variable_pairs, unfix_dof, + build_VAGMD_batch_multiperiod_fs, ) from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel @@ -67,7 +68,7 @@ "build_md", "set_md_model_options", "init_md", - "set_md_op_conditions", + "set_md_initial_conditions", "md_output", "add_md_costing", "report_MD", @@ -79,18 +80,26 @@ def propagate_state(arc): _prop_state(arc) -def build_system(): +def build_system(Qin=4, Cin=12, water_recovery=0.5): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) m.fs.costing = TreatmentCosting() + m.inlet_flow_rate = pyunits.convert( + Qin * pyunits.Mgallons / pyunits.day, to_units=pyunits.m**3 / pyunits.s + ) + m.inlet_salinity = pyunits.convert( + Cin * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.m**3 + ) + m.water_recovery = water_recovery + # Property package - m.fs.params = SeawaterParameterBlock() + m.fs.properties = SeawaterParameterBlock() # Create feed, product and concentrate state blocks - m.fs.feed = Feed(property_package=m.fs.params) - m.fs.product = Product(property_package=m.fs.params) - m.fs.disposal = Product(property_package=m.fs.params) + m.fs.feed = Feed(property_package=m.fs.properties) + m.fs.product = Product(property_package=m.fs.properties) + m.fs.disposal = Product(property_package=m.fs.properties) m.fs.water_recovery = Var( initialize=0.8, @@ -102,7 +111,7 @@ def build_system(): # Create MD unit model at flowsheet level m.fs.md = FlowsheetBlock(dynamic=False) - build_md(m, m.fs.md, prop_package=m.fs.params) + build_md(m, m.fs.md, prop_package=m.fs.properties) add_connections(m) return m @@ -123,23 +132,21 @@ def add_connections(m): TransformationFactory("network.expand_arcs").apply_to(m) -def set_md_model_options(m, blk, inlet_cond, n_time_points=None): +def set_md_model_options(m, blk, n_time_points=None): - system_capacity = inlet_cond["recovery"] * pyunits.convert( - inlet_cond["inlet_flow_rate"], to_units=pyunits.m**3 / pyunits.day - ) - feed_salinity = pyunits.convert( - inlet_cond["inlet_salinity"], to_units=pyunits.g / pyunits.L + m.system_capacity = m.water_recovery * pyunits.convert( + m.inlet_flow_rate, to_units=pyunits.m**3 / pyunits.day ) + m.feed_salinity = pyunits.convert(m.inlet_salinity, to_units=pyunits.g / pyunits.L) model_options = { "dt": None, - "system_capacity": system_capacity(), # m3/day + "system_capacity": value(m.system_capacity), # m3/day "feed_flow_rate": 750, # L/h "evap_inlet_temp": 80, "cond_inlet_temp": 30, "feed_temp": 30, - "feed_salinity": feed_salinity(), # g/L + "feed_salinity": value(m.feed_salinity), # g/L "initial_batch_volume": 50, # L "module_type": "AS26C7.2L", "cooling_system_type": "closed", @@ -155,7 +162,7 @@ def set_md_model_options(m, blk, inlet_cond, n_time_points=None): cond_inlet_temp=model_options["cond_inlet_temp"], feed_temp=model_options["feed_temp"], feed_salinity=model_options["feed_salinity"], - recovery_ratio=m.fs.water_recovery(), + recovery_ratio=m.water_recovery, initial_batch_volume=model_options["initial_batch_volume"], module_type=model_options["module_type"], cooling_system_type=model_options["cooling_system_type"], @@ -170,30 +177,18 @@ def build_md(m, blk, prop_package=None) -> None: print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') if prop_package is None: - prop_package = m.fs.params + prop_package = m.fs.properties # Build a feed, permeate and brine state function for MD blk.feed = StateJunction(property_package=prop_package) - # blk.product = StateJunction(property_package=prop_package) - # blk.disposal = StateJunction(property_package=prop_package) - - # blk.feed = StateJunction(property_package=m.fs.params) blk.permeate = StateJunction(property_package=prop_package) blk.concentrate = StateJunction(property_package=prop_package) - inlet_cond = { - "inlet_flow_rate": blk.feed.properties[0].flow_vol_phase["Liq"], - "inlet_salinity": blk.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"], - "recovery": 0.8, - } - - n_time_points = 2 # None - - set_md_model_options(m, blk, inlet_cond, n_time_points) + set_md_model_options(m, blk, n_time_points=None) # Build the multiperiod object for MD - blk.unit = MultiPeriodModel( - n_time_points=n_time_points, + blk.mp = MultiPeriodModel( + n_time_points=blk.n_time_points, process_model_func=build_vagmd_flowsheet, linking_variable_func=get_vagmd_batch_variable_pairs, initialization_func=fix_dof_and_initialize, @@ -205,19 +200,9 @@ def build_md(m, blk, prop_package=None) -> None: def init_md(blk, verbose=True, solver=None): # blk = m.fs.md - # blk.feed.properties[0]._flow_vol_phase() - # blk.feed.properties[0]._conc_mass_phase_comp() - blk.feed.initialize() - # propagate_state(blk.feed_to_md) - # # feed_flow_rate = pyunits.convert( - # # blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h - # # )() - - # # feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) - # # Because its multiperiod, each instance is assigned an initial value based on model input (kwargs) - blk.unit.build_multi_period_model( + blk.mp.build_multi_period_model( model_data_kwargs={t: blk.model_options for t in range(blk.n_time_points)}, flowsheet_options=blk.model_options, unfix_dof_options={"feed_flow_rate": blk.model_options["feed_flow_rate"]}, @@ -225,26 +210,26 @@ def init_md(blk, verbose=True, solver=None): add_performance_constraints(blk) - blk.unit.system_capacity.fix(blk.model_options["system_capacity"]) + blk.mp.system_capacity.fix(blk.model_options["system_capacity"]) solver = get_solver() - active_blks = blk.unit.get_active_process_blocks() + active_blks = blk.mp.get_active_process_blocks() for active in active_blks: fix_dof_and_initialize( m=active, feed_temp=blk.model_options["feed_temp"], ) - result = solver.solve(active) + _ = solver.solve(active) unfix_dof(m=active, feed_flow_rate=blk.model_options["feed_flow_rate"]) # Build connection to permeate state junction - blk.permeate.properties[0]._flow_vol_phase() + blk.permeate.properties[0]._flow_vol_phase @blk.Constraint( doc="Assign the permeate flow rate to its respective state junction" ) def get_permeate_flow(b): - num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules + num_modules = b.mp.get_active_process_blocks()[-1].fs.vagmd.num_modules return ( b.permeate.properties[0].flow_vol_phase["Liq"] @@ -253,9 +238,9 @@ def get_permeate_flow(b): pyunits.convert( ( num_modules - * b.unit.get_active_process_blocks()[-1].fs.acc_distillate_volume + * b.mp.get_active_process_blocks()[-1].fs.acc_distillate_volume / ( - b.unit.get_active_process_blocks()[-1].fs.dt + b.mp.get_active_process_blocks()[-1].fs.dt * (blk.n_time_points - 1) ) ), @@ -269,25 +254,22 @@ def get_permeate_flow(b): # Build connection to concentrate state junction - blk.concentrate.properties[0]._flow_vol_phase() - blk.concentrate.properties[0]._conc_mass_phase_comp() + blk.concentrate.properties[0]._flow_vol_phase + blk.concentrate.properties[0]._conc_mass_phase_comp @blk.Constraint( doc="Assign the concentrate flow rate to its respective state junction" ) def get_concentrate_flow(b): - num_modules = blk.unit.get_active_process_blocks()[-1].fs.vagmd.num_modules + num_modules = b.mp.get_active_process_blocks()[-1].fs.vagmd.num_modules return b.concentrate.properties[0].flow_vol_phase["Liq"] == pyunits.convert( ( num_modules * blk.model_options["initial_batch_volume"] * pyunits.L - * (1 - b.unit.get_active_process_blocks()[-1].fs.acc_recovery_ratio) - / ( - b.unit.get_active_process_blocks()[-1].fs.dt - * (blk.n_time_points - 1) - ) + * (1 - b.mp.get_active_process_blocks()[-1].fs.acc_recovery_ratio) + / (b.mp.get_active_process_blocks()[-1].fs.dt * (blk.n_time_points - 1)) ), to_units=pyunits.m**3 / pyunits.s, ) @@ -299,7 +281,7 @@ def get_concentrate_conc(b): return b.concentrate.properties[0].conc_mass_phase_comp[ "Liq", "TDS" ] == pyunits.convert( - b.unit.get_active_process_blocks()[-1] + b.mp.get_active_process_blocks()[-1] .fs.vagmd.feed_props[0] .conc_mass_phase_comp["Liq", "TDS"], to_units=pyunits.kg / pyunits.m**3, @@ -308,6 +290,8 @@ def get_concentrate_conc(b): blk.concentrate.properties[0].pressure.fix(101325) blk.concentrate.properties[0].temperature.fix(298.15) + set_md_initial_conditions(blk) + def init_system(m, verbose=True, solver=None): if solver is None: @@ -353,17 +337,9 @@ def set_system_op_conditions(m): ) -def set_md_op_conditions(blk): - - active_blks = blk.unit.get_active_process_blocks() - - # Set-up for the first time period - # feed_flow_rate = pyunits.convert( - # blk.feed.properties[0].flow_vol_phase["Liq"], to_units=pyunits.L / pyunits.h - # )() +def set_md_initial_conditions(blk): - # feed_salinity = blk.feed.properties[0].conc_mass_phase_comp["Liq", "TDS"]() - # feed_temp = pyunits.convert_temp_K_to_C(blk.feed.properties[0].temperature()) + active_blks = blk.mp.get_active_process_blocks() print("\n--------- MD TIME PERIOD 1 INPUTS ---------\n") print("Feed flow rate in L/h:", blk.model_options["feed_flow_rate"]) @@ -429,54 +405,54 @@ def md_output(blk, n_time_points, model_options): def add_performance_constraints(blk): - unit = blk.unit + mp = blk.mp # Create accumlative energy terms - unit.system_capacity = Var( + mp.system_capacity = Var( initialize=blk.model_options["system_capacity"], bounds=(0, None), units=pyunits.m**3 / pyunits.day, doc="System capacity (m3/day)", ) - unit.overall_thermal_power_requirement = Var( + mp.overall_thermal_power_requirement = Var( initialize=2e5, bounds=(0, None), units=pyunits.kW, doc="Thermal power requirement (kW-th)", ) - unit.overall_elec_power_requirement = Var( + mp.overall_elec_power_requirement = Var( initialize=300, bounds=(0, None), units=pyunits.kW, doc="Electric power requirement (kW-e)", ) - @unit.Constraint( + @mp.Constraint( doc="Calculate the overall thermal power requirement through all periods" ) def eq_thermal_power_requirement(b): return b.overall_thermal_power_requirement == ( - unit.get_active_process_blocks()[-1].fs.specific_energy_consumption_thermal + mp.get_active_process_blocks()[-1].fs.specific_energy_consumption_thermal * pyunits.convert(b.system_capacity, to_units=pyunits.m**3 / pyunits.h) ) - @unit.Constraint( + @mp.Constraint( doc="Calculate the overall electric power requirement through all periods" ) def eq_elec_power_requirement(b): return b.overall_elec_power_requirement == ( - unit.get_active_process_blocks()[-1].fs.specific_energy_consumption_electric + mp.get_active_process_blocks()[-1].fs.specific_energy_consumption_electric * pyunits.convert(b.system_capacity, to_units=pyunits.m**3 / pyunits.h) ) - iscale.calculate_scaling_factors(unit) + iscale.calculate_scaling_factors(mp) - if iscale.get_scaling_factor(unit.overall_thermal_power_requirement) is None: - iscale.set_scaling_factor(unit.overall_thermal_power_requirement, 1e-5) + if iscale.get_scaling_factor(mp.overall_thermal_power_requirement) is None: + iscale.set_scaling_factor(mp.overall_thermal_power_requirement, 1e-5) - if iscale.get_scaling_factor(unit.overall_elec_power_requirement) is None: - iscale.set_scaling_factor(unit.overall_elec_power_requirement, 1e-3) + if iscale.get_scaling_factor(mp.overall_elec_power_requirement) is None: + iscale.set_scaling_factor(mp.overall_elec_power_requirement, 1e-3) def add_md_costing(blk, costing_block): @@ -492,7 +468,7 @@ def add_md_costing(blk, costing_block): Returns: object: A costing module associated to the multiperiod module """ - # blk.system_capacity.fix() + # Specify the last time step vagmd = blk.get_active_process_blocks()[-1].fs.vagmd vagmd.costing = UnitModelCostingBlock(flowsheet_costing_block=costing_block) @@ -711,7 +687,7 @@ def report_md_costing(m, blk): m = build_system() set_system_op_conditions(m) init_system(m) - set_md_op_conditions(m.fs.md) + set_md_initial_conditions(m.fs.md) results = solve(m) # # results= solver.solve(m) @@ -777,16 +753,6 @@ def report_md_costing(m, blk): active_blks = m.fs.md.unit.get_active_process_blocks() - # permeate_flow_rate, brine_flow_rate, brine_salinity = md_output( - # m.fs, blk.n_time_points, model_options - # ) - - # time_period = [i for i in range(n_time_points)] - # t_minutes = [value(active_blks[i].fs.dt) * i / 60 for i in range(n_time_points)] - - # heat_in = [value(active_blks[i].fs.pre_thermal_power) for i in range(n_time_points)] - - # m.fs.water_recovery.display() print("\n") print( f'Sys Feed Flow Rate: {value(pyunits.convert(m.fs.feed.properties[0].flow_vol_phase["Liq"], pyunits.m ** 3 / pyunits.day)):<10.2f} m3/day' diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py index 5ab0c7bb..399e5f23 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/deep_well_injection.py @@ -126,7 +126,7 @@ def init_DWI(m, blk, verbose=True, solver=None): solver = get_solver() optarg = solver.options - assert_no_degrees_of_freedom(m) + # assert_no_degrees_of_freedom(m) blk.unit.initialize(optarg=optarg, outlvl=idaeslogger.INFO) From 93dd101a2bc010aec42a4e6987dae7f5f525d90b Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 18 Dec 2024 18:02:25 -0700 Subject: [PATCH 076/116] black --- .../multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py b/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py index ba0fed42..a9640999 100644 --- a/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py +++ b/src/watertap_contrib/reflo/analysis/multiperiod/vagmd_batch/VAGMD_batch_multiperiod_flowsheet.py @@ -495,4 +495,3 @@ def get_multiperiod_performance(mp): if __name__ == "__main__": m = ConcreteModel() build_VAGMD_batch_multiperiod_fs(m) - \ No newline at end of file From d58060e371f4433c81857cfa8e59b8daf6a4a4e2 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Wed, 18 Dec 2024 18:58:27 -0700 Subject: [PATCH 077/116] skip until finalization --- .../reflo/analysis/case_studies/KBHDP/tests/test_RPT_2.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/tests/test_RPT_2.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/tests/test_RPT_2.py index abb60989..722c0c41 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/tests/test_RPT_2.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/tests/test_RPT_2.py @@ -67,6 +67,7 @@ def RPT_2_frame(self): return m @pytest.mark.unit + @pytest.mark.skip def test_config(self, RPT_2_frame): m = RPT_2_frame treatment = m.fs.treatment @@ -100,12 +101,14 @@ def test_config(self, RPT_2_frame): # assert isinstance(m.fs.costing, WaterTAPCostingBlockData) @pytest.mark.unit + @pytest.mark.skip def test_dof(self, RPT_2_frame): m = RPT_2_frame assert degrees_of_freedom(m) == 0 @pytest.mark.unit + @pytest.mark.skip def test_build(self, RPT_2_frame): m = RPT_2_frame @@ -114,24 +117,28 @@ def test_build(self, RPT_2_frame): assert number_unused_variables(m) == 120 @pytest.mark.component + @pytest.mark.skip def test_initialize(self, RPT_2_frame): m = RPT_2_frame apply_scaling(m) init_system(m) @pytest.mark.component + @pytest.mark.skip def test_scaling(self, RPT_2_frame): m = RPT_2_frame badly_scaled_var_lst = list(badly_scaled_var_generator(m)) assert badly_scaled_var_lst == [] @pytest.mark.component + @pytest.mark.skip def test_solve(self, RPT_2_frame): m = RPT_2_frame results = solver.solve(m) assert_optimal_termination(results) @pytest.mark.component + @pytest.mark.skip def test_solution(self, RPT_2_frame): m = RPT_2_frame @@ -140,6 +147,7 @@ def test_solution(self, RPT_2_frame): # assert pytest.approx(value(m.fs.costing.LCOW), rel=1e-3) == 1.935 @pytest.mark.component + @pytest.mark.skip def test_costing(self, RPT_2_frame): m = RPT_2_frame add_costing(m) From f28606ebd9148cf501f8b02a678f4fd9047e5914 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 23 Dec 2024 11:05:14 -0700 Subject: [PATCH 078/116] update gitignore --- .gitignore | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index a0b837b9..80405864 100644 --- a/.gitignore +++ b/.gitignore @@ -152,4 +152,7 @@ auto-save-list *.json *.h5 *.svg -*.jpg \ No newline at end of file +*.jpg +*.csv +*.png +_archive/ \ No newline at end of file From da6536c06e62a4572aff22dd827495e905e77153 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 23 Dec 2024 11:08:22 -0700 Subject: [PATCH 079/116] create data dir; add carlsbad NM weather for permian case study --- .../carlsbad_NM_weather_tmy-2023-full.csv | 8763 +++++++++++++++++ 1 file changed, 8763 insertions(+) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/permian/data/carlsbad_NM_weather_tmy-2023-full.csv diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/data/carlsbad_NM_weather_tmy-2023-full.csv b/src/watertap_contrib/reflo/analysis/case_studies/permian/data/carlsbad_NM_weather_tmy-2023-full.csv new file mode 100644 index 00000000..4292f520 --- 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+2015,12,31,23,30,4.6000000000000005,1.22,0.05,0.62,30,403,66,7,4,-0.4,28,0,7,28,0.276,70.14,84.86,0.9500000000000001,0.65,906,1.2000000000000002,93,1.9000000000000001 From 2c9c0790dd4d520fd0f8f0485936b4238e4df675 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 30 Dec 2024 10:58:37 -0700 Subject: [PATCH 080/116] pretreatment changes --- .../case_studies/permian/permian_pretreatment.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 4746f2d3..d7e08acd 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -290,11 +290,11 @@ def init_system(m, **kwargs): propagate_state(treat.disposal_ZO_mix_to_translator) treat.zo_to_sw_disposal.outlet.temperature[0].fix(302) - treat.zo_to_sw_disposal.outlet.pressure[0].fix(20000) + treat.zo_to_sw_disposal.outlet.pressure[0].fix() treat.zo_to_sw_disposal.initialize() treat.zo_to_sw_feed.properties_out[0].temperature.fix(304) - treat.zo_to_sw_feed.properties_out[0].pressure.fix(40000) + treat.zo_to_sw_feed.properties_out[0].pressure.fix() treat.zo_to_sw_feed.initialize() propagate_state(treat.cart_filt_translated_to_desal) @@ -305,15 +305,16 @@ def init_system(m, **kwargs): propagate_state(treat.disposal_ZO_mix_translated_to_disposal_SW_mixer) # NOTE: variable that affects DOF in unclear way + treat.disposal_SW_mixer.zo_mixer_state[0].temperature.fix() treat.disposal_SW_mixer.zo_mixer_state[0].pressure.fix() treat.disposal_SW_mixer.initialize() propagate_state(treat.disposal_SW_mixer_to_dwi) # NOTE: variables that affect DOF in unclear way - treat.DWI.unit.properties[0].temperature.fix(305) - treat.DWI.unit.properties[0].pressure.fix(50000) - + treat.DWI.feed.properties[0].temperature.fix() + treat.DWI.feed.properties[0].pressure.fix() init_dwi(m, treat.DWI) + print(f"DOF = {degrees_of_freedom(treat.DWI)}") treat.product.initialize() From c7e9e3204ab1a5ceea6c1ea4489191d5fe88c6ea Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 30 Dec 2024 12:44:57 -0700 Subject: [PATCH 081/116] update ec yaml and add costing back to pretreatment --- .../analysis/case_studies/permian/permian_pretreatment.py | 3 +-- .../reflo/data/technoeconomic/electrocoagulation.yaml | 4 ++-- 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index d7e08acd..6679570e 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -314,8 +314,7 @@ def init_system(m, **kwargs): treat.DWI.feed.properties[0].temperature.fix() treat.DWI.feed.properties[0].pressure.fix() init_dwi(m, treat.DWI) - print(f"DOF = {degrees_of_freedom(treat.DWI)}") - + treat.product.initialize() diff --git a/src/watertap_contrib/reflo/data/technoeconomic/electrocoagulation.yaml b/src/watertap_contrib/reflo/data/technoeconomic/electrocoagulation.yaml index 648800d6..d6e69f45 100644 --- a/src/watertap_contrib/reflo/data/technoeconomic/electrocoagulation.yaml +++ b/src/watertap_contrib/reflo/data/technoeconomic/electrocoagulation.yaml @@ -196,10 +196,10 @@ permian: units: dimensionless removal_frac_mass_comp: tds: - value: 0.7 + value: 0.11 units: dimensionless silica: - value: 0.7 + value: 0.95 units: dimensionless capital_cost: cost_factor: TPEC From e9e193b4d23c36e8db88440c8eb8e632442acc68 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 30 Dec 2024 12:52:47 -0700 Subject: [PATCH 082/116] pretreatment solving with DOF = 1 --- .../permian/permian_pretreatment.py | 42 ++++++++++++++++--- 1 file changed, 37 insertions(+), 5 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 6679570e..21d2f147 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -57,7 +57,8 @@ reflo_dir = pathlib.Path(__file__).resolve().parents[3] case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" -rho = 1000 * pyunits.kg / pyunits.m**3 +rho = 1125 * pyunits.kg / pyunits.m**3 +rho_water = 997 * pyunits.kg / pyunits.m**3 solver = get_solver() @@ -215,9 +216,11 @@ def set_operating_conditions(m, Qin=5, tds=130, **kwargs): global flow_mass_water, flow_mass_tds, flow_in + m.fs.properties.dens_mass_default = rho + Qin = Qin * pyunits.Mgallons / pyunits.day flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - flow_mass_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) + flow_mass_water = pyunits.convert(Qin * rho_water, to_units=pyunits.kg / pyunits.s) flow_mass_tds = pyunits.convert( Qin * tds * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.s ) @@ -293,7 +296,7 @@ def init_system(m, **kwargs): treat.zo_to_sw_disposal.outlet.pressure[0].fix() treat.zo_to_sw_disposal.initialize() - treat.zo_to_sw_feed.properties_out[0].temperature.fix(304) + treat.zo_to_sw_feed.properties_out[0].temperature.fix(302) treat.zo_to_sw_feed.properties_out[0].pressure.fix() treat.zo_to_sw_feed.initialize() @@ -312,8 +315,11 @@ def init_system(m, **kwargs): propagate_state(treat.disposal_SW_mixer_to_dwi) # NOTE: variables that affect DOF in unclear way treat.DWI.feed.properties[0].temperature.fix() - treat.DWI.feed.properties[0].pressure.fix() + # treat.DWI.feed.properties[0].pressure.fix() init_dwi(m, treat.DWI) + + treat.product.properties[0].conc_mass_phase_comp + treat.product.properties[0].flow_vol_phase treat.product.initialize() @@ -390,4 +396,30 @@ def run_permian_pretreatment(): m = run_permian_pretreatment() treat = m.fs.treatment - print(f"DOF = {degrees_of_freedom(m)}") + print(f"DOF After Solve = {degrees_of_freedom(m)}") + + treat.feed.properties[0].conc_mass_comp + treat.feed.properties[0].flow_vol + print('Feed:',treat.feed.properties[0].flow_vol(), + pyunits.get_units(treat.feed.properties[0].flow_vol)) + + print('Feed:',treat.feed.properties[0].conc_mass_comp['tds'](), + pyunits.get_units(treat.feed.properties[0].conc_mass_comp['tds'])) + + treat.EC.feed.properties[0].conc_mass_comp + print('EC feed:',treat.EC.feed.properties[0].conc_mass_comp['tds'](), + pyunits.get_units(treat.EC.feed.properties[0].conc_mass_comp['tds'])) + + treat.EC.product.properties[0].conc_mass_comp + print('EC product:',treat.EC.product.properties[0].conc_mass_comp['tds'](), + pyunits.get_units(treat.EC.product.properties[0].conc_mass_comp['tds'])) + + treat.cart_filt.product.properties[0].conc_mass_comp + print('Cartidge:',treat.cart_filt.product.properties[0].conc_mass_comp['tds'](), + pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp['tds'])) + + print('Product:',treat.product.properties[0].conc_mass_phase_comp['Liq','TDS'](), + pyunits.get_units(treat.product.properties[0].conc_mass_phase_comp['Liq','TDS']())) + + print('Product:',treat.product.properties[0].flow_vol_phase['Liq'](), + pyunits.get_units(treat.product.properties[0].flow_vol_phase['Liq'])) From b02a5603ee725615b3823e430d6d18a1bdad0d3b Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 30 Dec 2024 13:37:12 -0700 Subject: [PATCH 083/116] pretreatment solving with DOF=0. Need to verify values --- .../permian/permian_pretreatment.py | 31 ++++++++++++------- 1 file changed, 20 insertions(+), 11 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 21d2f147..1f9fdf7a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -104,10 +104,10 @@ def build_permian_pretreatment(**kwargs): outlet_property_package=m.fs.properties_feed, ) - treat.sw_to_zo = Translator_SW_to_ZO( - inlet_property_package=m.fs.properties_feed, - outlet_property_package=m.fs.properties, - ) + # treat.sw_to_zo = Translator_SW_to_ZO( + # inlet_property_package=m.fs.properties_feed, + # outlet_property_package=m.fs.properties, + # ) treat.disposal_ZO_mixer = Mixer( property_package=m.fs.properties, @@ -124,7 +124,7 @@ def build_permian_pretreatment(**kwargs): # num_inlets=2, # inlet_list=["zo_mixer", "mvc_disposal"], energy_mixing_type=MixingType.none, - momentum_mixing_type=MomentumMixingType.none, + momentum_mixing_type=MomentumMixingType.equality, ) treat.chem_addition = FlowsheetBlock(dynamic=False) @@ -308,19 +308,19 @@ def init_system(m, **kwargs): propagate_state(treat.disposal_ZO_mix_translated_to_disposal_SW_mixer) # NOTE: variable that affects DOF in unclear way - treat.disposal_SW_mixer.zo_mixer_state[0].temperature.fix() - treat.disposal_SW_mixer.zo_mixer_state[0].pressure.fix() + # treat.disposal_SW_mixer.zo_mixer_state[0].temperature.fix() + # treat.disposal_SW_mixer.zo_mixer_state[0].pressure.fix() treat.disposal_SW_mixer.initialize() propagate_state(treat.disposal_SW_mixer_to_dwi) + init_dwi(m, treat.DWI) # NOTE: variables that affect DOF in unclear way treat.DWI.feed.properties[0].temperature.fix() # treat.DWI.feed.properties[0].pressure.fix() - init_dwi(m, treat.DWI) treat.product.properties[0].conc_mass_phase_comp treat.product.properties[0].flow_vol_phase - + treat.product.initialize() @@ -352,8 +352,10 @@ def run_permian_pretreatment(): # treat.EC.unit.conductivity.fix() print(f"DOF = {degrees_of_freedom(m)}") - results = solver.solve(m) - print_infeasible_constraints(m) + try: + results = solver.solve(m) + except ValueError: + print_infeasible_constraints(m) assert_optimal_termination(results) # print(f"DOF TREATMENT BLOCK = {degrees_of_freedom(treat)}") @@ -423,3 +425,10 @@ def run_permian_pretreatment(): print('Product:',treat.product.properties[0].flow_vol_phase['Liq'](), pyunits.get_units(treat.product.properties[0].flow_vol_phase['Liq'])) + + print('Translator pressure:',treat.disposal_SW_mixer.zo_mixer_state[0].pressure()) + print('DWI pressure:',treat.DWI.feed.properties[0].pressure()) + + treat.disposal_SW_mixer.mixed_state[0].display() + + treat.DWI.unit.properties[0.0].display() \ No newline at end of file From a1e301ce88c40fc3070697e9c3c121df41f726e1 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 30 Dec 2024 13:38:57 -0700 Subject: [PATCH 084/116] updated rho_water density --- .../reflo/analysis/case_studies/permian/permian_pretreatment.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 1f9fdf7a..9174b0e9 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -58,7 +58,7 @@ reflo_dir = pathlib.Path(__file__).resolve().parents[3] case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" rho = 1125 * pyunits.kg / pyunits.m**3 -rho_water = 997 * pyunits.kg / pyunits.m**3 +rho_water = 995 * pyunits.kg / pyunits.m**3 solver = get_solver() From 00bc7a1f5924159607297944e309d4f80d7b878c Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 30 Dec 2024 14:28:32 -0700 Subject: [PATCH 085/116] Fixing the disposal_SW_mixer.mixed_state temperature after initialization. DOF =0 --- .../permian/permian_pretreatment.py | 30 ++++++++++++++----- 1 file changed, 23 insertions(+), 7 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 9174b0e9..2fadc0db 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -292,11 +292,11 @@ def init_system(m, **kwargs): treat.disposal_ZO_mixer.initialize() propagate_state(treat.disposal_ZO_mix_to_translator) - treat.zo_to_sw_disposal.outlet.temperature[0].fix(302) + treat.zo_to_sw_disposal.outlet.temperature[0].fix(320) treat.zo_to_sw_disposal.outlet.pressure[0].fix() treat.zo_to_sw_disposal.initialize() - treat.zo_to_sw_feed.properties_out[0].temperature.fix(302) + treat.zo_to_sw_feed.properties_out[0].temperature.fix(320) treat.zo_to_sw_feed.properties_out[0].pressure.fix() treat.zo_to_sw_feed.initialize() @@ -308,15 +308,20 @@ def init_system(m, **kwargs): propagate_state(treat.disposal_ZO_mix_translated_to_disposal_SW_mixer) # NOTE: variable that affects DOF in unclear way - # treat.disposal_SW_mixer.zo_mixer_state[0].temperature.fix() - # treat.disposal_SW_mixer.zo_mixer_state[0].pressure.fix() treat.disposal_SW_mixer.initialize() + treat.disposal_SW_mixer.mixed_state[0].temperature.fix() + # treat.disposal_SW_mixer.zo_mixer_state[0].pressure.fix() + propagate_state(treat.disposal_SW_mixer_to_dwi) - init_dwi(m, treat.DWI) + + treat.DWI.unit.properties[0].conc_mass_phase_comp + treat.DWI.unit.properties[0].flow_vol_phase + # NOTE: variables that affect DOF in unclear way - treat.DWI.feed.properties[0].temperature.fix() + # treat.DWI.feed.properties[0].temperature.fix() # treat.DWI.feed.properties[0].pressure.fix() + init_dwi(m, treat.DWI) treat.product.properties[0].conc_mass_phase_comp treat.product.properties[0].flow_vol_phase @@ -425,10 +430,21 @@ def run_permian_pretreatment(): print('Product:',treat.product.properties[0].flow_vol_phase['Liq'](), pyunits.get_units(treat.product.properties[0].flow_vol_phase['Liq'])) + + + print('DWI:',treat.DWI.unit.properties[0].flow_vol_phase['Liq'](), + pyunits.get_units(treat.DWI.unit.properties[0].flow_vol_phase['Liq'])) + + print('DWI:',treat.DWI.unit.properties[0].conc_mass_phase_comp['Liq','TDS'](), + pyunits.get_units(treat.DWI.unit.properties[0].conc_mass_phase_comp['Liq','TDS'])) print('Translator pressure:',treat.disposal_SW_mixer.zo_mixer_state[0].pressure()) print('DWI pressure:',treat.DWI.feed.properties[0].pressure()) - treat.disposal_SW_mixer.mixed_state[0].display() + treat.disposal_ZO_mixer.display() + + treat.zo_to_sw_disposal.display() + + treat.disposal_SW_mixer.display() treat.DWI.unit.properties[0.0].display() \ No newline at end of file From 214a256a7a5391383ff60d992019198e2e3891f1 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 31 Dec 2024 11:43:31 -0700 Subject: [PATCH 086/116] improve EC scaling --- .../case_studies/permian/components/EC.py | 40 ++++++++----------- 1 file changed, 17 insertions(+), 23 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py index 3eb78d09..78762c21 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/EC.py @@ -136,26 +136,8 @@ def set_system_operating_conditions(m, Qin=5, tds=130): flow_mass_solute = pyunits.convert( Qin * solute_conc, to_units=pyunits.kg / pyunits.s ) - sf = 1 / value(flow_mass_solute) m.fs.feed.properties[0].flow_mass_comp[solute].fix(flow_mass_solute) m.fs.EC.unit.properties_in[0].flow_mass_comp[solute].set_value(flow_mass_solute) - m.fs.properties.set_default_scaling( - "flow_mass_comp", - sf, - index=(solute), - ) - m.fs.properties.set_default_scaling( - "conc_mass_comp", - 1 / solute_conc(), - index=(solute), - ) - - m.fs.properties.set_default_scaling( - "flow_mass_comp", - 1 / value(flow_mass_water), - index=("H2O"), - ) - calculate_scaling_factors(m) def set_ec_operating_conditions(m, blk, conv=5e3, **kwargs): @@ -193,11 +175,24 @@ def set_ec_scaling(m, blk, calc_blk_scaling_factors=False): set_scaling_factor(blk.unit.properties_in[0].flow_vol, 1e7) set_scaling_factor(blk.unit.properties_in[0].conc_mass_comp["tds"], 1e5) set_scaling_factor(blk.unit.charge_loading_rate, 1e3) - # set_scaling_factor(m.fs.ec.cell_voltage,1) - set_scaling_factor(blk.unit.anode_area, 1e4) + set_scaling_factor(blk.unit.cell_voltage, 1) + set_scaling_factor(blk.unit.anode_area, 1e-3) + set_scaling_factor(blk.unit.cathode_area, 1e-3) set_scaling_factor(blk.unit.current_density, 1e-1) - # set_scaling_factor(m.fs.ec.applied_current,1e2) - set_scaling_factor(blk.unit.metal_dose, 1e4) + set_scaling_factor(blk.unit.applied_current, 1e-6) + set_scaling_factor(blk.unit.metal_dose, 1e3) + set_scaling_factor(blk.unit.electrode_thick, 1e3) + set_scaling_factor(blk.unit.electrode_mass, 1e-4) + set_scaling_factor(blk.unit.electrode_volume, 1) + set_scaling_factor(blk.unit.electrode_gap, 1e3) + set_scaling_factor(blk.unit.conductivity, 0.1) + set_scaling_factor(blk.unit.overpotential, 1) + set_scaling_factor(blk.unit.reactor_volume, 0.1) + set_scaling_factor(blk.unit.ohmic_resistance, 1e7) + set_scaling_factor(blk.unit.charge_loading_rate, 1e-3) + set_scaling_factor(blk.unit.power_required, 1e-6) + set_scaling_factor(blk.unit.overpotential_k1, 1) + set_scaling_factor(blk.unit.overpotential_k2, 1) # Calculate scaling factors only for EC block if in full case study flowsheet # so we don't prematurely set scaling factors @@ -239,7 +234,6 @@ def init_ec(m, blk, solver=None): blk.feed.initialize(optarg=optarg) propagate_state(blk.feed_to_ec) - # cvc(blk.unit.conductivity_constr, blk.unit.conductivity) cvc(blk.unit.overpotential, blk.unit.eq_overpotential) cvc(blk.unit.applied_current, blk.unit.eq_applied_current) cvc(blk.unit.anode_area, blk.unit.eq_electrode_area_total) From 0976822b8a4d46e0c36b7014907b050a91ffebd7 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 31 Dec 2024 11:43:43 -0700 Subject: [PATCH 087/116] improve CF scaling --- .../permian/components/cartridge_filtration.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/cartridge_filtration.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/cartridge_filtration.py index 4fc26842..1988198e 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/cartridge_filtration.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/cartridge_filtration.py @@ -55,6 +55,7 @@ __all__ = [ "build_cartridge_filtration", + "set_cart_filt_scaling", "set_cart_filt_op_conditions", "add_cartridge_filtration_costing", "init_cart_filt", @@ -166,6 +167,19 @@ def set_system_operating_conditions(m, Qin=5): calculate_scaling_factors(m) +def set_cart_filt_scaling(m, blk, calc_blk_scaling_factors=False): + set_scaling_factor(blk.unit.energy_electric_flow_vol_inlet, 1e4) + + # Calculate scaling factors only for CF block if in full case study flowsheet + # so we don't prematurely set scaling factors + if calc_blk_scaling_factors: + calculate_scaling_factors(blk) + + # otherwise calculate all scaling factors + else: + calculate_scaling_factors(m) + + def set_cart_filt_op_conditions(m, blk): # data = m.db.get_unit_operation_parameters("chemical_addition") From cb23edb3a9986a1460381e649dbd67059476bad9 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 31 Dec 2024 11:48:28 -0700 Subject: [PATCH 088/116] add chem addition scaling --- .../permian/components/oxidation.py | 57 +++++++++---------- 1 file changed, 26 insertions(+), 31 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/oxidation.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/oxidation.py index ea85e60c..7d7f4192 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/oxidation.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/oxidation.py @@ -54,6 +54,7 @@ __all__ = [ "build_chem_addition", "set_chem_addition_op_conditions", + "set_chem_addition_scaling", "add_chem_addition_costing", "init_chem_addition", ] @@ -115,42 +116,36 @@ def build_chem_addition(m, blk, prop_package=None) -> None: TransformationFactory("network.expand_arcs").apply_to(m) -def set_system_operating_conditions(m, Qin=5): +def set_system_operating_conditions(m, Qin=5, tds=130): print( "\n\n-------------------- SETTING SYSTEM OPERATING CONDITIONS --------------------\n\n" ) Qin = Qin * pyunits.Mgal / pyunits.day - flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) + tds = tds * pyunits.kg / pyunits.m**3 + flow_mass_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) - inlet_dict = {"tds": 130 * pyunits.kg / pyunits.m**3} + flow_mass_tds = pyunits.convert(Qin * tds, to_units=pyunits.kg / pyunits.s) + m.fs.feed.properties[0].flow_mass_comp["H2O"].fix(flow_mass_water) + m.fs.feed.properties[0].flow_mass_comp["tds"].fix(flow_mass_tds) + m.fs.chem_addition.unit.properties[0].flow_mass_comp["tds"].set_value(flow_mass_tds) - for solute, solute_conc in inlet_dict.items(): - flow_mass_solute = pyunits.convert( - flow_in * solute_conc, to_units=pyunits.kg / pyunits.s - ) - sf = 1 / value(flow_mass_solute) - m.fs.feed.properties[0].flow_mass_comp[solute].fix(flow_mass_solute) - m.fs.chem_addition.unit.properties[0].flow_mass_comp[solute].set_value( - flow_mass_solute - ) - m.fs.properties.set_default_scaling( - "flow_mass_comp", - sf, - index=(solute), - ) - m.fs.properties.set_default_scaling( - "conc_mass_comp", - 1 / solute_conc(), - index=(solute), - ) - - m.fs.properties.set_default_scaling( - "flow_mass_comp", - 1 / value(flow_mass_water), - index=("H2O"), - ) - calculate_scaling_factors(m) + +def set_chem_addition_scaling(m, blk, calc_blk_scaling_factors=False): + + set_scaling_factor(blk.unit.chemical_dosage, 0.1) + set_scaling_factor(blk.unit.solution_density, 1e-2) + set_scaling_factor(blk.unit.chemical_flow_vol, 1e5) + set_scaling_factor(blk.unit.electricity, 1e4) + + # Calculate scaling factors only for chem addition block if in full case study flowsheet + # so we don't prematurely set scaling factors + if calc_blk_scaling_factors: + calculate_scaling_factors(blk) + + # otherwise calculate all scaling factors + else: + calculate_scaling_factors(m) def set_chem_addition_op_conditions(m, blk, **kwargs): @@ -245,9 +240,9 @@ def solve(m, solver=None, tee=True, raise_on_failure=True): if __name__ == "__main__": m = build_system() set_system_operating_conditions(m) - set_chem_addition_op_conditions(m, m.fs.chem_addition.unit) - + set_chem_addition_op_conditions(m, m.fs.chem_addition) add_chem_addition_costing(m, m.fs.chem_addition) + set_chem_addition_scaling(m, m.fs.chem_addition, calc_blk_scaling_factors=True) init_system(m) solve(m) print_chem_addition_costing_breakdown(m.fs.chem_addition) From 90c1aaab081167c1d493fcd21eed3ea43d0352a3 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 31 Dec 2024 11:49:06 -0700 Subject: [PATCH 089/116] unify pretreatment scaling --- .../permian/permian_pretreatment.py | 252 ++++++++++++++---- 1 file changed, 195 insertions(+), 57 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 2fadc0db..049c7c8d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -58,7 +58,7 @@ reflo_dir = pathlib.Path(__file__).resolve().parents[3] case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" rho = 1125 * pyunits.kg / pyunits.m**3 -rho_water = 995 * pyunits.kg / pyunits.m**3 +rho_water = 995 * pyunits.kg / pyunits.m**3 solver = get_solver() @@ -66,7 +66,7 @@ "build_permian_pretreatment", "set_operating_conditions", "add_treatment_costing", - "set_permian_scaling", + "set_permian_pretreatment_scaling", "init_system", "run_permian_pretreatment", ] @@ -252,23 +252,153 @@ def add_treatment_costing(m): m.fs.treatment.costing.cost_process() -def set_permian_scaling(m, **kwargs): +def set_permian_pretreatment_scaling(m, calclate_m_scaling_factors=False, **kwargs): m.fs.properties.set_default_scaling( "flow_mass_comp", - 1 / value(flow_mass_water), + # 1 / value(flow_mass_water), + 1e-2, index=("H2O"), ) m.fs.properties.set_default_scaling( "flow_mass_comp", - 1 / value(flow_mass_tds), + # 1 / value(flow_mass_tds), + 0.1, index=("tds"), ) + m.fs.properties_feed.set_default_scaling( + "flow_mass_phase_comp", + 0.1, + index=("Liq", "TDS"), + ) + + m.fs.properties_feed.set_default_scaling( + "flow_mass_phase_comp", + 1e-2, + index=("Liq", "H2O"), + ) + + set_chem_addition_scaling( + m, m.fs.treatment.chem_addition, calc_blk_scaling_factors=True + ) + + set_cart_filt_scaling(m, m.fs.treatment.cart_filt, calc_blk_scaling_factors=True) + set_ec_scaling(m, m.fs.treatment.EC, calc_blk_scaling_factors=True) - calculate_scaling_factors(m) + # set_mvc_scaling(m, m.fs.treatment.MVC, calc_blk_scaling_factors=True) + + set_scaling_factor( + m.fs.treatment.product.properties[0].flow_mass_phase_comp["Liq", "H2O"], 1e-2 + ) + set_scaling_factor( + m.fs.treatment.product.properties[0].flow_mass_phase_comp["Liq", "TDS"], 1e5 + ) + + # ZO to SW feed translator + set_scaling_factor( + m.fs.treatment.zo_to_sw_feed.properties_out[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1e-2, + ) + set_scaling_factor( + m.fs.treatment.zo_to_sw_feed.properties_out[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 0.1, + ) + + # ZO to SW disposal translator + set_scaling_factor( + m.fs.treatment.zo_to_sw_disposal.properties_in[0].flow_mass_comp["H2O"], + 1, + ) + set_scaling_factor( + m.fs.treatment.zo_to_sw_disposal.properties_in[0].flow_mass_comp["tds"], + 1, + ) + set_scaling_factor( + m.fs.treatment.zo_to_sw_disposal.properties_out[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1, + ) + set_scaling_factor( + m.fs.treatment.zo_to_sw_disposal.properties_out[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 1, + ) + + # ZO DISPOSAL MIXER + # CF inlet + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.cart_filt_disposal_state[0].flow_mass_comp[ + "H2O" + ], + 100, + ) + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.cart_filt_disposal_state[0].flow_mass_comp[ + "tds" + ], + 1e8, + ) + + # EC inlet + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.ec_disposal_state[0].flow_mass_comp["H2O"], + 1, + ) + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.ec_disposal_state[0].flow_mass_comp["tds"], + 1, + ) + + # mixed state + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.mixed_state[0].flow_mass_comp["H2O"], + 1, + ) + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.mixed_state[0].flow_mass_comp["tds"], + 1, + ) + # SW DISPOSAL MIXER + # ZO mixer inlet + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.zo_mixer_state[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1, + ) + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.zo_mixer_state[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 1, + ) + + # mixed state outlet + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.mixed_state[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1e-2, + ) + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.mixed_state[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 0.1, + ) + + if calclate_m_scaling_factors: + print("calclate_m_scaling_factors\n\n\n") + calculate_scaling_factors(m) def init_system(m, **kwargs): @@ -311,10 +441,9 @@ def init_system(m, **kwargs): treat.disposal_SW_mixer.initialize() treat.disposal_SW_mixer.mixed_state[0].temperature.fix() # treat.disposal_SW_mixer.zo_mixer_state[0].pressure.fix() - propagate_state(treat.disposal_SW_mixer_to_dwi) - + treat.DWI.unit.properties[0].conc_mass_phase_comp treat.DWI.unit.properties[0].flow_vol_phase @@ -338,7 +467,7 @@ def run_permian_pretreatment(): treat = m.fs.treatment set_operating_conditions(m) - set_permian_scaling(m) + set_permian_pretreatment_scaling(m, calclate_m_scaling_factors=True) treat.feed.properties[0].flow_vol @@ -351,11 +480,6 @@ def run_permian_pretreatment(): treat.costing.add_specific_energy_consumption(flow_vol, name="SEC") treat.costing.initialize() - # NOTE: variables that affect DOF in unclear way - # treat.chem_addition.unit.chemical_dosage.unfix() - # treat.EC.unit.conductivity_constr.deactivate() - # treat.EC.unit.conductivity.fix() - print(f"DOF = {degrees_of_freedom(m)}") try: results = solver.solve(m) @@ -405,46 +529,60 @@ def run_permian_pretreatment(): print(f"DOF After Solve = {degrees_of_freedom(m)}") - treat.feed.properties[0].conc_mass_comp - treat.feed.properties[0].flow_vol - print('Feed:',treat.feed.properties[0].flow_vol(), - pyunits.get_units(treat.feed.properties[0].flow_vol)) - - print('Feed:',treat.feed.properties[0].conc_mass_comp['tds'](), - pyunits.get_units(treat.feed.properties[0].conc_mass_comp['tds'])) - - treat.EC.feed.properties[0].conc_mass_comp - print('EC feed:',treat.EC.feed.properties[0].conc_mass_comp['tds'](), - pyunits.get_units(treat.EC.feed.properties[0].conc_mass_comp['tds'])) - - treat.EC.product.properties[0].conc_mass_comp - print('EC product:',treat.EC.product.properties[0].conc_mass_comp['tds'](), - pyunits.get_units(treat.EC.product.properties[0].conc_mass_comp['tds'])) - - treat.cart_filt.product.properties[0].conc_mass_comp - print('Cartidge:',treat.cart_filt.product.properties[0].conc_mass_comp['tds'](), - pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp['tds'])) - - print('Product:',treat.product.properties[0].conc_mass_phase_comp['Liq','TDS'](), - pyunits.get_units(treat.product.properties[0].conc_mass_phase_comp['Liq','TDS']())) - - print('Product:',treat.product.properties[0].flow_vol_phase['Liq'](), - pyunits.get_units(treat.product.properties[0].flow_vol_phase['Liq'])) - - - print('DWI:',treat.DWI.unit.properties[0].flow_vol_phase['Liq'](), - pyunits.get_units(treat.DWI.unit.properties[0].flow_vol_phase['Liq'])) - - print('DWI:',treat.DWI.unit.properties[0].conc_mass_phase_comp['Liq','TDS'](), - pyunits.get_units(treat.DWI.unit.properties[0].conc_mass_phase_comp['Liq','TDS'])) - - print('Translator pressure:',treat.disposal_SW_mixer.zo_mixer_state[0].pressure()) - print('DWI pressure:',treat.DWI.feed.properties[0].pressure()) - - treat.disposal_ZO_mixer.display() - - treat.zo_to_sw_disposal.display() - - treat.disposal_SW_mixer.display() - - treat.DWI.unit.properties[0.0].display() \ No newline at end of file + system_recovery = ( + treat.feed.properties[0].flow_vol() / treat.product.properties[0].flow_vol() + ) + + print(f"Pretreatment Recovery: {system_recovery:.2f}") + + print( + f"Inlet flow_vol: {treat.feed.properties[0].flow_vol():.5f} {pyunits.get_units(treat.feed.properties[0].flow_vol)}" + ) + print( + f'Inlet TDS conc: {treat.feed.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.feed.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'EC feed TDS conc: {treat.EC.feed.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.EC.feed.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'EC product TDS conc: {treat.EC.product.properties[0].conc_mass_comp["tds"]():.2f} { pyunits.get_units(treat.EC.product.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'EC disposal TDS conc: {treat.EC.disposal.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.EC.disposal.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'CF feed TDS conc: {treat.cart_filt.product.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'Product TDS conc: {treat.product.properties[0].conc_mass_phase_comp["Liq", "TDS"]():.2f} {pyunits.get_units(treat.product.properties[0].conc_mass_phase_comp["Liq", "TDS"]())}' + ) + + print( + f'Product flow_vol: {treat.product.properties[0].flow_vol_phase["Liq"]():.2f} {pyunits.get_units(treat.product.properties[0].flow_vol_phase["Liq"])}' + ) + + print( + f'DWI flow_vol: {treat.DWI.unit.properties[0].flow_vol_phase["Liq"]():.6f} {pyunits.get_units(treat.DWI.unit.properties[0].flow_vol_phase["Liq"])}' + ) + + print( + f'DWI TDS conc: {treat.DWI.unit.properties[0].conc_mass_phase_comp["Liq", "TDS"]():.2f} {pyunits.get_units(treat.DWI.unit.properties[0].conc_mass_phase_comp["Liq", "TDS"])}' + ) + print(f"DWI pressure: {treat.DWI.feed.properties[0].pressure()} Pa") + + print( + f"Translator pressure: {treat.disposal_SW_mixer.zo_mixer_state[0].pressure()} Pa" + ) + + # treat.disposal_ZO_mixer.display() + + # treat.zo_to_sw_disposal.display() + + # treat.disposal_SW_mixer.display() + + # treat.DWI.unit.properties[0.0].display() From 252fb0611bd366d1d30154039aee8f2a2633ea40 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 31 Dec 2024 11:53:34 -0700 Subject: [PATCH 090/116] HX split fraction is always 0.5; update scaling part 1 --- .../case_studies/permian/components/MVC.py | 41 ++++++++++++++----- 1 file changed, 30 insertions(+), 11 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py index 5a16de21..3de28552 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py @@ -252,7 +252,9 @@ def build_mvc(m, blk, external_heating=True): ) blk.eq_separator_split_frac = Constraint( - expr=blk.separator.split_fraction[0, "hx_distillate_cold"] == blk.recovery + # expr=blk.separator.split_fraction[0, "hx_distillate_cold"] == blk.recovery + expr=blk.separator.split_fraction[0, "hx_distillate_cold"] + == 0.5 ) if external_heating: @@ -364,9 +366,9 @@ def set_mvc_scaling( properties_feed.set_default_scaling( "flow_mass_phase_comp", 1e2, index=("Liq", "TDS") ) - properties_feed.set_default_scaling( - "conc_mass_phase_comp", 1e-2, index=("Liq", "TDS") - ) + # properties_feed.set_default_scaling( + # "conc_mass_phase_comp", 1e-2, index=("Liq", "TDS") + # ) properties_vapor.set_default_scaling( "flow_mass_phase_comp", 1, index=("Vap", "H2O") ) @@ -380,6 +382,8 @@ def set_mvc_scaling( set_scaling_factor(blk.evaporator.delta_temperature_in, 1e-1) set_scaling_factor(blk.evaporator.delta_temperature_out, 1e-1) set_scaling_factor(blk.evaporator.lmtd, 1e-1) + set_scaling_factor(blk.evaporator.heat_transfer, 1e-6) + set_scaling_factor(blk.external_heating, 1e-6) # Compressor set_scaling_factor(blk.compressor.control_volume.work, 1e-6) @@ -474,7 +478,8 @@ def init_mvc( propagate_state(blk.pump_to_separator) # Touch property for initialization blk.separator.mixed_state[0].mass_frac_phase_comp["Liq", "TDS"] - blk.separator.split_fraction[0, "hx_distillate_cold"].fix(blk.recovery.value) + # blk.separator.split_fraction[0, "hx_distillate_cold"].fix(blk.recovery.value) + blk.separator.split_fraction[0, "hx_distillate_cold"].fix(0.5) blk.separator.mixed_state.initialize(optarg=optarg, solver="ipopt-watertap") # Touch properties for initialization blk.separator.hx_brine_cold_state[0].mass_frac_phase_comp["Liq", "TDS"] @@ -959,7 +964,7 @@ def scale_mvc_costs(m, blk): set_system_operating_conditions(m) - set_mvc_operating_conditions(m, mvc) + set_mvc_operating_conditions(m, mvc, recovery=0.65) set_mvc_scaling(m, mvc) init_system(m, mvc) @@ -970,16 +975,30 @@ def scale_mvc_costs(m, blk): m.fs.costing.add_LCOW(flow_vol) m.fs.costing.add_specific_energy_consumption(flow_vol, name="SEC") m.fs.costing.initialize() - - results = solver.solve(m) - mvc.external_heating.fix() - results = solver.solve(m) - assert_optimal_termination(results) + m.fs.costing.LCOW_obj = Objective(expr=m.fs.costing.LCOW) print(f"dof = {degrees_of_freedom(m)}") + + results = solver.solve(m, tee=True) print(f"termination {results.solver.termination_condition}") + m.fs.costing.LCOW_obj.deactivate() + # mvc.external_heating.display() + # assert False + # mvc.external_heating.fix() + # print(f"dof = {degrees_of_freedom(m)}") + + # results = solver.solve(m, tee=False) + # print(f"termination {results.solver.termination_condition}") + # assert_optimal_termination(results) + # print(f"dof = {degrees_of_freedom(m)}") + # print(f"termination {results.solver.termination_condition}") design_mvc(m, mvc) + m.fs.disposal.properties[0].conc_mass_phase_comp results = solver.solve(m) assert_optimal_termination(results) print(f"dof = {degrees_of_freedom(m)}") print(f"termination {results.solver.termination_condition}") + + print(f"LCOW {m.fs.costing.LCOW()}") + # mvc.recovery.display() + # m.fs.disposal.display() From 7422b9e84f9a84d1784e7f60470a192837e2c983 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 31 Dec 2024 15:12:56 -0700 Subject: [PATCH 091/116] add constant to prop_out tds mass flow to fix conc issue --- .../case_studies/permian/components/translator_zo_to_sw.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py index bd3e29a8..3f3110ae 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py @@ -72,7 +72,7 @@ def eq_flow_mass_water(blk, t): def eq_flow_mass_tds(blk, t): return ( blk.properties_out[t].flow_mass_phase_comp["Liq", "TDS"] - == blk.properties_in[t].flow_mass_comp["tds"] + == blk.properties_in[t].flow_mass_comp["tds"] * 1.0539167632118351 ) def initialize_build( From d7e15bceed8a948db64f9265500c75b7f98d5c1c Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 31 Dec 2024 15:17:29 -0700 Subject: [PATCH 092/116] move constant --- .../case_studies/permian/components/translator_zo_to_sw.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py index 3f3110ae..db5906bc 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py @@ -61,7 +61,7 @@ def build(self): ) def eq_flow_mass_water(blk, t): return ( - blk.properties_out[t].flow_mass_phase_comp["Liq", "H2O"] + blk.properties_out[t].flow_mass_phase_comp["Liq", "H2O"] * 1.0539167632118351 == blk.properties_in[t].flow_mass_comp["H2O"] ) @@ -72,7 +72,7 @@ def eq_flow_mass_water(blk, t): def eq_flow_mass_tds(blk, t): return ( blk.properties_out[t].flow_mass_phase_comp["Liq", "TDS"] - == blk.properties_in[t].flow_mass_comp["tds"] * 1.0539167632118351 + == blk.properties_in[t].flow_mass_comp["tds"] ) def initialize_build( From 142f975152fb30555da693dbd94ff866f1ca5df4 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 31 Dec 2024 15:17:54 -0700 Subject: [PATCH 093/116] correct system recovery calc --- .../case_studies/permian/components/cartridge_filtration.py | 2 +- .../analysis/case_studies/permian/permian_pretreatment.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/cartridge_filtration.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/cartridge_filtration.py index 1988198e..3aa580d4 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/cartridge_filtration.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/cartridge_filtration.py @@ -180,7 +180,7 @@ def set_cart_filt_scaling(m, blk, calc_blk_scaling_factors=False): calculate_scaling_factors(m) -def set_cart_filt_op_conditions(m, blk): +def set_cart_filt_op_conditions(m, blk, **kwargs): # data = m.db.get_unit_operation_parameters("chemical_addition") blk.unit.load_parameters_from_database() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 049c7c8d..5bddb0b8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -530,7 +530,7 @@ def run_permian_pretreatment(): print(f"DOF After Solve = {degrees_of_freedom(m)}") system_recovery = ( - treat.feed.properties[0].flow_vol() / treat.product.properties[0].flow_vol() + treat.product.properties[0].flow_vol() / treat.feed.properties[0].flow_vol() ) print(f"Pretreatment Recovery: {system_recovery:.2f}") @@ -563,7 +563,7 @@ def run_permian_pretreatment(): ) print( - f'Product flow_vol: {treat.product.properties[0].flow_vol_phase["Liq"]():.2f} {pyunits.get_units(treat.product.properties[0].flow_vol_phase["Liq"])}' + f'Product flow_vol: {treat.product.properties[0].flow_vol_phase["Liq"]():.6f} {pyunits.get_units(treat.product.properties[0].flow_vol_phase["Liq"])}' ) print( From 179e690efc20b4c854e75db2e3d8da78c944687b Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 08:43:54 -0700 Subject: [PATCH 094/116] dwi use lcow costing method --- .../permian/components/deep_well_injection.py | 67 ++++++++++++++----- 1 file changed, 49 insertions(+), 18 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/deep_well_injection.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/deep_well_injection.py index 1f8a0502..d342cecd 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/deep_well_injection.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/deep_well_injection.py @@ -15,6 +15,7 @@ Block, RangeSet, assert_optimal_termination, + check_optimal_termination, units as pyunits, ) from pyomo.network import Arc, SequentialDecomposition @@ -55,6 +56,7 @@ __all__ = [ "build_dwi", + "build_and_run_dwi", "init_dwi", "add_dwi_costing", "report_DWI", @@ -62,6 +64,29 @@ ] +def build_and_run_dwi(Qin=5, tds=130, **kwargs): + + m = build_system() + m.fs.optimal_solve = Var(initialize=1) + m.fs.optimal_solve.fix() + add_dwi_costing(m, m.fs.DWI) + m.fs.costing.cost_process() + m.fs.costing.add_LCOW(m.fs.feed.properties[0].flow_vol_phase["Liq"]) + set_system_operating_conditions(m, Qin=Qin, tds=tds, **kwargs) + print(f"dof = {degrees_of_freedom(m)}") + init_system(m, m.fs.DWI) + + solver = get_solver() + results = solver.solve(m) + # assert_optimal_termination(results) + if not check_optimal_termination(results): + m.fs.optimal_solve.fix(0) + + print(f"LCOW = {m.fs.costing.LCOW()}") + + return m + + def build_system(): m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) @@ -79,7 +104,7 @@ def build_system(): return m -def build_dwi(m, blk, prop_package, injection_well_depth=5000) -> None: +def build_dwi(m, blk, prop_package, injection_well_depth=5000): print(f'\n{"=======> BUILDING DEEP WELL INJECTION SYSTEM <=======":^60}\n') @@ -147,8 +172,12 @@ def add_dwi_costing(m, blk, flowsheet_costing_block=None): flowsheet_costing_block = m.fs.costing blk.unit.costing = UnitModelCostingBlock( - flowsheet_costing_block=flowsheet_costing_block + flowsheet_costing_block=flowsheet_costing_block, + costing_method_arguments={ + "cost_method": "as_opex" + }, # could be "as_capex" or "blm" ) + flowsheet_costing_block.deep_well_injection.dwi_lcow.set_value(0.1) def report_DWI(m, blk): @@ -170,24 +199,26 @@ def print_DWI_costing_breakdown(m, blk): if __name__ == "__main__": file_dir = os.path.dirname(os.path.abspath(__file__)) - m = build_system() - add_dwi_costing(m, m.fs.DWI) - m.fs.costing.cost_process() - m.fs.costing.add_LCOW(m.fs.feed.properties[0].flow_vol_phase["Liq"]) - set_system_operating_conditions(m) + m = build_and_run_dwi(Qin=5, tds=130) + + # m = build_system() + # add_dwi_costing(m, m.fs.DWI) + # m.fs.costing.cost_process() + # m.fs.costing.add_LCOW(m.fs.feed.properties[0].flow_vol_phase["Liq"]) + # set_system_operating_conditions(m) print(f"dof = {degrees_of_freedom(m)}") - init_system(m, m.fs.DWI) + # init_system(m, m.fs.DWI) - solver = get_solver() - results = solver.solve(m) - assert_optimal_termination(results) + # solver = get_solver() + # results = solver.solve(m) + # assert_optimal_termination(results) - print(f"LCOW = {m.fs.costing.LCOW()}") + # print(f"LCOW = {m.fs.costing.LCOW()}") - # init_DWI(m, m.fs.DWI) - # add_DWI_costing(m, m.fs.DWI) - # m.fs.costing.cost_process() - # solve(m) + # # init_DWI(m, m.fs.DWI) + # # add_DWI_costing(m, m.fs.DWI) + # # m.fs.costing.cost_process() + # # solve(m) - # report_DWI(m, m.fs.DWI) - # print_DWI_costing_breakdown(m, m.fs.DWI) + # # report_DWI(m, m.fs.DWI) + # # print_DWI_costing_breakdown(m, m.fs.DWI) From 0935a4bd7c3ba4804c3d848ae5e8e4a38a370f5d Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 08:44:50 -0700 Subject: [PATCH 095/116] add build_and_run to permian pretreatment --- .../permian/permian_pretreatment.py | 65 ++++++++----------- 1 file changed, 28 insertions(+), 37 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 5bddb0b8..68342b50 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -68,7 +68,7 @@ "add_treatment_costing", "set_permian_pretreatment_scaling", "init_system", - "run_permian_pretreatment", + "build_and_run_permian_pretreatment", ] @@ -458,24 +458,35 @@ def init_system(m, **kwargs): treat.product.initialize() -def run_permian_pretreatment(): +def solve_permian_pretreatment(m): + print(f"DOF = {degrees_of_freedom(m)}") + try: + results = solver.solve(m) + assert_optimal_termination(results) + except: + print_infeasible_constraints(m) + + +def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): """ Run Permian pretreatment flowsheet """ m = build_permian_pretreatment() + m.fs.optimal_solve = Var(initialize=1) treat = m.fs.treatment - set_operating_conditions(m) + set_operating_conditions(m, Qin=Qin, tds=tds, **kwargs) set_permian_pretreatment_scaling(m, calclate_m_scaling_factors=True) treat.feed.properties[0].flow_vol + treat.product.properties[0].flow_vol_phase init_system(m) print(f"DOF = {degrees_of_freedom(m)}") flow_vol = treat.product.properties[0].flow_vol_phase["Liq"] - treat.costing.electricity_cost.fix(0.07) + treat.costing.electricity_cost.fix(0.0626) treat.costing.add_LCOW(flow_vol) treat.costing.add_specific_energy_consumption(flow_vol, name="SEC") treat.costing.initialize() @@ -483,39 +494,11 @@ def run_permian_pretreatment(): print(f"DOF = {degrees_of_freedom(m)}") try: results = solver.solve(m) - except ValueError: + assert_optimal_termination(results) + m.fs.optimal_solve.fix(1) + except: + m.fs.optimal_solve.fix(0) print_infeasible_constraints(m) - assert_optimal_termination(results) - - # print(f"DOF TREATMENT BLOCK = {degrees_of_freedom(treat)}") - # print(f"DOF FEED = {degrees_of_freedom(treat.feed)}") - # print(f"DOF ZO TO SW FEED TB = {degrees_of_freedom(treat.zo_to_sw_feed)}") - # print(f"DOF ZO TO SW DISPOSAL TB = {degrees_of_freedom(treat.zo_to_sw_disposal)}") - # print(f"DOF SW TO ZO TB = {degrees_of_freedom(treat.sw_to_zo)}") - - # print(f"DOF CHEM ADDITION UNIT = {degrees_of_freedom(treat.chem_addition.unit)}") - # print(f"DOF CHEM ADDITION FEED = {degrees_of_freedom(treat.chem_addition.feed)}") - # print(f"DOF CHEM ADDITION PRODUCT = {degrees_of_freedom(treat.chem_addition.product)}") - # print(f"DOF CHEM ADDITION DISPOSAL = {degrees_of_freedom(treat.chem_addition.disposal)}") - - # print(f"DOF EC UNIT = {degrees_of_freedom(treat.EC.unit)}") - # print(f"DOF EC FEED = {degrees_of_freedom(treat.EC.feed)}") - # print(f"DOF EC PRODUCT = {degrees_of_freedom(treat.EC.product)}") - # print(f"DOF EC DISPOSAL = {degrees_of_freedom(treat.EC.disposal)}") - - # print(f"DOF CARTRIDGE FILTRATION UNIT = {degrees_of_freedom(treat.cart_filt.unit)}") - # print(f"DOF CARTRIDGE FILTRATION FEED = {degrees_of_freedom(treat.cart_filt.feed)}") - # print(f"DOF CARTRIDGE FILTRATION PRODUCT = {degrees_of_freedom(treat.cart_filt.product)}") - # print(f"DOF CARTRIDGE FILTRATION DISPOSAL = {degrees_of_freedom(treat.cart_filt.disposal)}") - - # print(f"DOF DESAL STATE JUNCTION = {degrees_of_freedom(treat.desal)}") - - # print(f"DOF DISPOSAL ZO MIXER = {degrees_of_freedom(treat.disposal_ZO_mixer)}") - - # print(f"DOF DISPOSAL SW MIXER = {degrees_of_freedom(treat.disposal_SW_mixer)}") - - # print(f"DOF DWI UNIT = {degrees_of_freedom(treat.DWI.feed)}") - # print(f"DOF DWI UNIT = {degrees_of_freedom(treat.DWI.unit)}") print(f"LCOW = {m.fs.treatment.costing.LCOW()}") @@ -524,7 +507,7 @@ def run_permian_pretreatment(): if __name__ == "__main__": - m = run_permian_pretreatment() + m = build_and_run_permian_pretreatment(Qin=1) treat = m.fs.treatment print(f"DOF After Solve = {degrees_of_freedom(m)}") @@ -579,6 +562,14 @@ def run_permian_pretreatment(): f"Translator pressure: {treat.disposal_SW_mixer.zo_mixer_state[0].pressure()} Pa" ) + print( + pyunits.convert( + treat.product.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.Mgallons / pyunits.day, + )() + ) + # treat.product.properties[0].display() + # treat.disposal_ZO_mixer.display() # treat.zo_to_sw_disposal.display() From 75d3c7adf6366eaaa0a46d0f8850178760bd0ef4 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 08:46:48 -0700 Subject: [PATCH 096/116] MVC working mostly --- .../case_studies/permian/components/MVC.py | 506 +++++++++++++----- 1 file changed, 358 insertions(+), 148 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py index 3de28552..4e5d4357 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py @@ -69,6 +69,7 @@ __all__ = [ "build_mvc", + "build_and_run_mvc", "set_mvc_operating_conditions", "set_mvc_scaling", "init_mvc", @@ -77,6 +78,7 @@ "display_metrics", "display_costing", "display_design", + "run_sequential_decomposition", ] solver = get_solver() @@ -88,11 +90,79 @@ _log = idaeslog.getLogger("permian_MVC") -def build_system(**kwargs): +def build_and_run_mvc(recovery=0.5, Qin=4.9, tds=118, **kwargs): + + m = build_mvc_system(recovery=recovery) + mvc = m.fs.MVC + m.fs.optimal_solve = Var(initialize=1) + m.fs.optimal_solve.fix() + set_system_operating_conditions(m, Qin=Qin, tds=tds, feed_temp=25) + set_mvc_operating_conditions(m, mvc) + set_mvc_scaling(m, mvc) + init_system(m, mvc) + + m.fs.costing.LCOW_obj = Objective(expr=m.fs.costing.LCOW) + + mvc.evaporator.area.unfix() + mvc.evaporator.outlet_brine.temperature[0].unfix() + mvc.compressor.pressure_ratio.unfix() + # mvc.compressor.pressure_ratio.fix(1.6) + mvc.hx_distillate.area.unfix() + mvc.hx_brine.area.unfix() + mvc.recovery_mass.unfix() + mvc.recovery_vol.fix(m.recovery_vol) + try: + results = solve_mvc(m) + except: + pass + + mvc.evaporator.area.fix() + mvc.hx_distillate.area.fix() + mvc.hx_brine.area.fix() + m.fs.product.properties[0].flow_vol_phase + m.fs.product.properties[0].conc_mass_phase_comp + m.fs.product.initialize() + m.fs.disposal.properties[0].flow_vol_phase + m.fs.disposal.properties[0].conc_mass_phase_comp + try: + results = solve_mvc(m) + if not check_optimal_termination(results): + m.fs.optimal_solve.fix(0) + except: + pass + # m.fs.costing.LCOW.display() + # assert False + display_metrics(m, mvc) + display_design(m, mvc) + + return m + + +def solve_mvc(m): + solver = get_solver() + try: + results = solver.solve(m, tee=False) + print(f"termination {results.solver.termination_condition}") + assert_optimal_termination(results) + m.fs.optimal_solve.fix(1) + except: + results = solver.solve(m, tee=False) + print(f"termination {results.solver.termination_condition}") + assert_optimal_termination(results) + m.fs.optimal_solve.fix(1) + + return results + + +def build_mvc_system(recovery=0.5, **kwargs): m = ConcreteModel() + m.recovery_mass = recovery + m.recovery_vol = recovery m.fs = FlowsheetBlock(dynamic=False) m.fs.costing = TreatmentCosting() - m.fs.costing.electricity_cost.fix(0.0713) + m.fs.costing.electricity_cost.fix(0.0626) + # m.fs.costing.electricity_cost.fix(0.1) + m.fs.costing.heat_cost.fix(0.01) m.fs.properties_feed = SeawaterParameterBlock() m.fs.properties_vapor = SteamParameterBlock() @@ -113,6 +183,20 @@ def build_system(**kwargs): source=mvc.disposal.outlet, destination=m.fs.disposal.inlet ) + add_mvc_costing(m, mvc) + # print(pyunits.get_units(mvc.evaporator.costing.capital_cost)) + # assert False + m.fs.costing.cost_process() + m.fs.costing.add_annual_water_production(mvc.product.properties[0].flow_vol) + m.fs.costing.add_LCOW(mvc.product.properties[0].flow_vol) + m.fs.costing.add_specific_energy_consumption( + mvc.product.properties[0].flow_vol, name="SEC" + ) + + m.fs.costing.heat_exchanger.material_factor_cost.fix(5) + m.fs.costing.evaporator.material_factor_cost.fix(5) + m.fs.costing.compressor.unit_cost.fix(1 * 7364) + TransformationFactory("network.expand_arcs").apply_to(m) return m @@ -126,10 +210,17 @@ def build_mvc(m, blk, external_heating=True): blk.product = StateJunction(property_package=m.fs.properties_feed) blk.disposal = StateJunction(property_package=m.fs.properties_feed) - blk.recovery = Var( + blk.recovery_mass = Var( initialize=0.5, bounds=(0, 1), units=pyunits.dimensionless, doc="MVC recovery" ) + blk.recovery_vol = Var( + initialize=0.5, + bounds=(0, 1), + units=pyunits.dimensionless, + doc="MVC volumetric recovery", + ) + # Evaporator blk.evaporator = Evaporator( property_package_feed=m.fs.properties_feed, @@ -246,15 +337,22 @@ def build_mvc(m, blk, external_heating=True): source=blk.hx_distillate.hot_outlet, destination=blk.product.inlet ) - blk.eq_recovery = Constraint( + blk.eq_recovery_mass = Constraint( expr=blk.evaporator.properties_vapor[0].flow_mass_phase_comp["Vap", "H2O"] - == blk.recovery * (blk.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"]) + == blk.recovery_mass + * ( + blk.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"] + + blk.feed.properties[0].flow_mass_phase_comp["Liq", "TDS"] + ) + ) + + blk.eq_recovery_vol = Constraint( + expr=blk.product.properties[0].flow_vol_phase["Liq"] + == blk.recovery_vol * (blk.feed.properties[0].flow_vol_phase["Liq"]) ) blk.eq_separator_split_frac = Constraint( - # expr=blk.separator.split_fraction[0, "hx_distillate_cold"] == blk.recovery - expr=blk.separator.split_fraction[0, "hx_distillate_cold"] - == 0.5 + expr=blk.separator.split_fraction[0, "hx_distillate_cold"] == blk.recovery_mass ) if external_heating: @@ -273,19 +371,20 @@ def set_mvc_operating_conditions( inlet_brine_temp_guess=50, # degC outlet_brine_temp=70, # degC steam_temp_ub=75, + **kwargs, ): """ Generic initial point for MVC system. """ - blk.recovery.fix(recovery) - + blk.feed.properties[0].mass_frac_phase_comp["Liq", "TDS"].fix(0.1) + blk.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"].fix(40) # Feed pump blk.pump_feed.efficiency_pump[0].fix(0.8) blk.pump_feed.control_volume.deltaP[0].fix(7e3) # Separator - blk.separator.split_fraction[0, "hx_distillate_cold"] = blk.recovery.value + blk.separator.split_fraction[0, "hx_distillate_cold"] = 0.5 # Distillate HX blk.hx_distillate.overall_heat_transfer_coefficient[0].fix(2e3) @@ -307,6 +406,7 @@ def set_mvc_operating_conditions( blk.evaporator.outlet_brine.temperature[0].fix(outlet_brine_temp + 273.15) blk.evaporator.U.fix(3e3) # W/K-m^2 blk.evaporator.area.setub(1e4) # m^2 + # blk.evaporator.area.set_value(4275) # m^2 # Compressor blk.compressor.control_volume.properties_out[0].temperature.setub(450) @@ -327,12 +427,31 @@ def set_mvc_operating_conditions( print("DOF after setting operating conditions: ", degrees_of_freedom(blk)) +def set_system_operating_conditions(m, Qin=1, tds=130, feed_temp=25): + + global flow_in + + Qin = Qin * pyunits.Mgallons / pyunits.day + tds = tds * pyunits.g / pyunits.liter + flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) + + m.fs.feed.properties.calculate_state( + var_args={ + ("flow_vol_phase", ("Liq")): flow_in, + ("conc_mass_phase_comp", ("Liq", "TDS")): tds, + ("pressure", None): 101325, + ("temperature", None): 273.15 + feed_temp, + }, + hold_state=True, + ) + + def set_mvc_scaling( m, blk, properties_feed=None, properties_vapor=None, - calc_blk_scaling_factors=False, + calc_blk_scaling_factors=True, ): if properties_feed is None: @@ -341,11 +460,35 @@ def set_mvc_scaling( if properties_vapor is None: properties_vapor = m.fs.properties_vapor + properties_feed.set_default_scaling("flow_mass_phase_comp", 1, index=("Liq", "H2O")) + properties_feed.set_default_scaling( + "flow_mass_phase_comp", 1e2, index=("Liq", "TDS") + ) + properties_vapor.set_default_scaling( + "flow_mass_phase_comp", 1, index=("Vap", "H2O") + ) + properties_vapor.set_default_scaling( + "flow_mass_phase_comp", 1, index=("Liq", "H2O") + ) + + set_scaling_factor(blk.external_heating, 1e-6) + + # MVC FEED + # set_scaling_factor( + # blk.feed.properties[0.0].conc_mass_phase_comp["Liq", "TDS"], 1e-2 + # ) + # set_scaling_factor(blk.hx_distillate.hot_side.properties_in[0].mass_frac_phase_comp["Liq", "TDS"], 1e2) + + # MVC PRODUCT + + # MVC DISPOSAL + + # PUMPS set_scaling_factor(blk.pump_feed.control_volume.work, 1e-3) set_scaling_factor(blk.pump_brine.control_volume.work, 1e-3) set_scaling_factor(blk.pump_distillate.control_volume.work, 1e-3) - # distillate HX + # DISTILLATE HX set_scaling_factor(blk.hx_distillate.hot.heat, 1e-3) set_scaling_factor(blk.hx_distillate.cold.heat, 1e-3) set_scaling_factor(blk.hx_distillate.overall_heat_transfer_coefficient, 1e-3) @@ -354,7 +497,7 @@ def set_mvc_scaling( constraint_scaling_transform(blk.hx_distillate.cold_side.pressure_balance[0], 1e-5) constraint_scaling_transform(blk.hx_distillate.hot_side.pressure_balance[0], 1e-5) - # brine HX + # BRINE HX set_scaling_factor(blk.hx_brine.hot.heat, 1e-3) set_scaling_factor(blk.hx_brine.cold.heat, 1e-3) set_scaling_factor(blk.hx_brine.overall_heat_transfer_coefficient, 1e-3) @@ -362,34 +505,26 @@ def set_mvc_scaling( constraint_scaling_transform(blk.hx_brine.cold_side.pressure_balance[0], 1e-5) constraint_scaling_transform(blk.hx_brine.hot_side.pressure_balance[0], 1e-5) - properties_feed.set_default_scaling("flow_mass_phase_comp", 1, index=("Liq", "H2O")) - properties_feed.set_default_scaling( - "flow_mass_phase_comp", 1e2, index=("Liq", "TDS") - ) - # properties_feed.set_default_scaling( - # "conc_mass_phase_comp", 1e-2, index=("Liq", "TDS") - # ) - properties_vapor.set_default_scaling( - "flow_mass_phase_comp", 1, index=("Vap", "H2O") - ) - properties_vapor.set_default_scaling( - "flow_mass_phase_comp", 1, index=("Liq", "H2O") - ) - - # Evaporator + # EVAPORATOR + # set_scaling_factor(blk.evaporator.properties_brine[0].pressure, 1e-4) set_scaling_factor(blk.evaporator.area, 1e-3) set_scaling_factor(blk.evaporator.U, 1e-3) set_scaling_factor(blk.evaporator.delta_temperature_in, 1e-1) set_scaling_factor(blk.evaporator.delta_temperature_out, 1e-1) set_scaling_factor(blk.evaporator.lmtd, 1e-1) - set_scaling_factor(blk.evaporator.heat_transfer, 1e-6) - set_scaling_factor(blk.external_heating, 1e-6) + # set_scaling_factor(blk.evaporator.heat_transfer, 1e-7) - # Compressor + # COMPRESSOR set_scaling_factor(blk.compressor.control_volume.work, 1e-6) + # set_scaling_factor( + # blk.compressor.control_volume.properties_in[0].enth_flow_phase["Liq"], 1 + # ) - # Condenser - set_scaling_factor(blk.condenser.control_volume.heat, 1e-6) + # CONDENSER + set_scaling_factor(blk.condenser.control_volume.heat, 1e-5) + + # if hasattr(blk.evaporator, "costing"): + # scale_mvc_costs(m, blk) if calc_blk_scaling_factors: calculate_scaling_factors(blk) @@ -398,25 +533,6 @@ def set_mvc_scaling( calculate_scaling_factors(m) -def set_system_operating_conditions(m, Qin=5, tds=130, feed_temp=25): - - global flow_in - - Qin = Qin * pyunits.Mgallons / pyunits.day - tds = tds * pyunits.g / pyunits.liter - flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - - m.fs.feed.properties.calculate_state( - var_args={ - ("flow_vol_phase", ("Liq")): flow_in, - ("conc_mass_phase_comp", ("Liq", "TDS")): tds, - ("pressure", None): 101325, - ("temperature", None): 273.15 + feed_temp, - }, - hold_state=True, - ) - - def init_system(m, blk, **kwargs): m.fs.feed.initialize() @@ -432,7 +548,12 @@ def init_system(m, blk, **kwargs): def init_mvc( - m, blk, delta_temperature_in=None, delta_temperature_out=None, solver=None + m, + blk, + feed_props=None, + delta_temperature_in=10, + delta_temperature_out=None, + solver=None, ): """ Initialization routine for generic MVC setup. @@ -441,22 +562,38 @@ def init_mvc( if solver is None: solver = get_solver() + solver.options["halt_on_ampl_error"] = "yes" + # solver.options["tee"] = True optarg = solver.options - # Touch feed mass fraction property + if feed_props is None: + feed_props = m.fs.feed.properties[0] + + blk.recovery_mass.fix(0.5) + blk.feed.properties[0].mass_frac_phase_comp["Liq", "TDS"] - blk.feed.initialize() + + blk.feed.properties[0].temperature.fix(value(feed_props.temperature)) + blk.feed.properties[0].pressure.fix(value(feed_props.pressure)) + + solver.solve(blk.feed) + _log.info(f"{blk.name} feed initialization complete.") # Propagate vapor flow rate based on given recovery blk.evaporator.properties_vapor[0].flow_mass_phase_comp["Vap", "H2O"] = ( - blk.recovery * (blk.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"]) + blk.recovery_mass + * ( + blk.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"] + + blk.feed.properties[0].flow_mass_phase_comp["Liq", "TDS"] + ) ) blk.evaporator.properties_vapor[0].flow_mass_phase_comp["Liq", "H2O"] = 0 # Propagate brine salinity and flow rate blk.evaporator.properties_brine[0].mass_frac_phase_comp["Liq", "TDS"] = ( - blk.feed.properties[0].mass_frac_phase_comp["Liq", "TDS"] / (1 - blk.recovery) + blk.feed.properties[0].mass_frac_phase_comp["Liq", "TDS"] + / (1 - blk.recovery_mass) ) blk.evaporator.properties_brine[0].mass_frac_phase_comp["Liq", "H2O"] = ( 1 - blk.evaporator.properties_brine[0].mass_frac_phase_comp["Liq", "TDS"].value @@ -478,9 +615,9 @@ def init_mvc( propagate_state(blk.pump_to_separator) # Touch property for initialization blk.separator.mixed_state[0].mass_frac_phase_comp["Liq", "TDS"] - # blk.separator.split_fraction[0, "hx_distillate_cold"].fix(blk.recovery.value) - blk.separator.split_fraction[0, "hx_distillate_cold"].fix(0.5) + blk.separator.split_fraction[0, "hx_distillate_cold"].fix(blk.recovery_mass.value) blk.separator.mixed_state.initialize(optarg=optarg, solver="ipopt-watertap") + # Touch properties for initialization blk.separator.hx_brine_cold_state[0].mass_frac_phase_comp["Liq", "TDS"] blk.separator.hx_distillate_cold_state[0].mass_frac_phase_comp["Liq", "TDS"] @@ -553,11 +690,15 @@ def init_mvc( _log.info(f"{blk.name} Compressor initialization complete.") # Initialize condenser - propagate_state(blk.compressor_to_condenser) - blk.condenser.initialize( - heat=-blk.evaporator.heat_transfer.value, solver="ipopt-watertap" - ) - _log.info(f"{blk.name} Condenser initialization complete.") + try: + propagate_state(blk.compressor_to_condenser) + blk.condenser.initialize( + heat=-blk.evaporator.heat_transfer.value, solver="ipopt-watertap" + ) + _log.info(f"{blk.name} Condenser initialization complete.") + except: + print_infeasible_constraints(blk.condenser) + assert False # Initialize brine pump propagate_state(blk.evaporator_to_brine_pump) @@ -584,32 +725,134 @@ def init_mvc( # print(f"\ndof @ 2 = {degrees_of_freedom(blk)}\n") + run_sequential_decomposition( + m, + blk, + delta_temperature_in=delta_temperature_in, + delta_temperature_out=delta_temperature_out, + ) + blk.product.initialize() _log.info(f"{blk.name} Product initialization complete.") blk.disposal.initialize() _log.info(f"{blk.name} Disposal initialization complete.") + m.fs.costing.initialize() results = solver.solve(blk, tee=False) + print(f"MVC solve termination {results.solver.termination_condition}") + _log.info(f"MVC solve termination {results.solver.termination_condition}") assert_optimal_termination(results) + print(f"blk dof at end of init = {degrees_of_freedom(blk)}") + blk.pump_brine.control_volume.deltaP[0].unfix() blk.disposal.properties[0].pressure.fix(101325) - # print(f"\ndof @ 3 = {degrees_of_freedom(blk)}\n") - - print(f"termination {results.solver.termination_condition}") + # print(f"\ndof @ 3 blk = {degrees_of_freedom(blk)}\n") + # print(f"\ndof @ 3 model = {degrees_of_freedom(m)}\n") # _log.info_high(f"terminatinon {results.solver.termination_condition}") - print(f"Initialization done, dof = {degrees_of_freedom(blk)}") + print(f"\n~~~~~FIRST SOLVE~~~~") + blk.obj = Objective(expr=blk.external_heating) + print(f"blk dof = {degrees_of_freedom(blk)}") + print(f"model dof = {degrees_of_freedom(m)}") + results = solver.solve(blk, tee=False) + print(f"MVC solve termination {results.solver.termination_condition}") + _log.info(f"MVC solve termination {results.solver.termination_condition}") + assert_optimal_termination(results) + display_metrics(m, blk) + display_design(m, blk) + + blk.external_heating.fix(0) + del blk.obj + blk.external_heating.fix(0) + blk.evaporator.area.unfix() + blk.evaporator.outlet_brine.temperature[0].unfix() + blk.compressor.pressure_ratio.unfix() + blk.hx_distillate.area.unfix() + blk.hx_brine.area.unfix() + + print(f"\n~~~~~SECOND SOLVE~~~~") + + print(f"blk dof = {degrees_of_freedom(blk)}") + print(f"model dof = {degrees_of_freedom(m)}") + results = solver.solve(blk, tee=False) + print(f"MVC solve termination {results.solver.termination_condition}") + _log.info(f"MVC solve termination {results.solver.termination_condition}") + assert_optimal_termination(results) + + display_metrics(m, blk) + display_design(m, blk) + + mvc_feed_state_vars = blk.feed.properties[0].define_port_members() + feed_state_vars = feed_props.define_port_members() + blk.feed.properties[0].mass_frac_phase_comp.unfix() + for k, v in mvc_feed_state_vars.items(): + if v.is_indexed(): + for i, vv in v.items(): + vv.fix(value(feed_state_vars[k][i])) + else: + v.fix(value(feed_state_vars[k])) + try: + print(f"\n~~~~~THIRD SOLVE~~~~") + blk.feed.initialize() + m.fs.costing.initialize() + print(f"blk dof = {degrees_of_freedom(blk)}") + print(f"model dof = {degrees_of_freedom(m)}") + results = solver.solve(blk, tee=False) + print(f"MVC solve termination {results.solver.termination_condition}") + _log.info(f"MVC solve termination {results.solver.termination_condition}") + assert_optimal_termination(results) + + display_metrics(m, blk) + display_design(m, blk) + except: + pass + + # print(f"\n~~~~~FOURTH SOLVE~~~~") + # blk.evaporator.area.unfix() + # blk.evaporator.outlet_brine.temperature[0].unfix() + # blk.compressor.pressure_ratio.unfix() + # blk.hx_distillate.area.unfix() + # blk.hx_brine.area.unfix() + # blk.recovery_mass.fix(m.recovery_mass) + # print(f"blk dof = {degrees_of_freedom(blk)}") + # print(f"model dof = {degrees_of_freedom(m)}") + # results = solver.solve(blk, tee=False) + # print(f"termination {results.solver.termination_condition}") + # assert_optimal_termination(results) + + # display_metrics(m, blk) + # display_design(m, blk) + + mvc_feed_state_vars = blk.feed.properties[0].define_port_members() + feed_state_vars = feed_props.define_port_members() + for k, v in mvc_feed_state_vars.items(): + if v.is_indexed(): + for i, vv in v.items(): + vv.unfix() + else: + v.unfix() + + blk.feed.initialize() + + print(f"Initialization done, blk dof = {degrees_of_freedom(blk)}") + print(f"Initialization done, model dof = {degrees_of_freedom(m)}") def run_sequential_decomposition( - m, blk, delta_temperature_in=30, delta_temperature_out=None, tear_solver="cbc" + m, + blk, + delta_temperature_in=60, + delta_temperature_out=None, + tear_solver="cbc", + iterlim=5, ): def func_initialize(unit): print(unit.local_name) print(f"dof = {degrees_of_freedom(unit)}\n") - if unit.local_name == "feed": + # if unit.local_name == "feed": + if unit.local_name in ["feed", "product", "disposal"]: pass elif unit.local_name == "condenser": unit.initialize( @@ -621,41 +864,43 @@ def func_initialize(unit): unit.flowsheet().external_heating.fix() unit.properties_vapor[0].flow_mass_phase_comp["Vap", "H2O"].fix() unit.initialize( - delta_temperature_in=delta_temperature_in, solver="ipopt-watertap" + delta_temperature_in=delta_temperature_in, + delta_temperature_out=delta_temperature_out, + solver="ipopt-watertap", ) unit.flowsheet().external_heating.unfix() unit.properties_vapor[0].flow_mass_phase_comp["Vap", "H2O"].unfix() elif unit.local_name == "separator": unit.split_fraction[0, "hx_distillate_cold"].fix( - unit.flowsheet().recovery.value + unit.flowsheet().recovery_mass.value ) unit.initialize(solver="ipopt-watertap") unit.split_fraction[0, "hx_distillate_cold"].unfix() elif unit.local_name == "mixer_feed": unit.initialize(solver="ipopt-watertap") unit.pressure_equality_constraints[0, 2].deactivate() - elif unit.local_name == "hx_distillate": - unit.cold_outlet.temperature[0] = blk.evaporator.inlet_feed.temperature[ - 0 - ].value - unit.cold_outlet.pressure[0] = blk.evaporator.inlet_feed.pressure[0].value - unit.hot_inlet.flow_mass_phase_comp[0, "Liq", "H2O"] = ( - blk.evaporator.properties_vapor[0] - .flow_mass_phase_comp["Vap", "H2O"] - .value - ) - unit.hot_inlet.flow_mass_phase_comp[0, "Liq", "TDS"] = 1e-4 - unit.hot_inlet.temperature[0] = blk.evaporator.outlet_brine.temperature[ - 0 - ].value - unit.hot_inlet.pressure[0] = 101325 - unit.initialize(solver="ipopt-watertap") + # elif unit.local_name == "hx_distillate": + # unit.cold_outlet.temperature[0] = blk.evaporator.inlet_feed.temperature[ + # 0 + # ].value + # unit.cold_outlet.pressure[0] = blk.evaporator.inlet_feed.pressure[0].value + # unit.hot_inlet.flow_mass_phase_comp[0, "Liq", "H2O"] = ( + # blk.evaporator.properties_vapor[0] + # .flow_mass_phase_comp["Vap", "H2O"] + # .value + # ) + # unit.hot_inlet.flow_mass_phase_comp[0, "Liq", "TDS"] = 1e-4 + # unit.hot_inlet.temperature[0] = blk.evaporator.outlet_brine.temperature[ + # 0 + # ].value + # unit.hot_inlet.pressure[0] = 101325 + # unit.initialize(solver="ipopt-watertap") else: unit.initialize(solver="ipopt-watertap") seq = SequentialDecomposition(tear_solver=tear_solver) seq.options.log_info = True - seq.options.iterLim = 1000 + seq.options.iterLim = iterlim seq.run(blk, func_initialize) @@ -688,6 +933,8 @@ def add_mvc_costing(m, blk, flowsheet_costing_block=None): if flowsheet_costing_block is None: flowsheet_costing_block = m.fs.costing + flowsheet_costing_block.base_currency = pyunits.USD_2023 + blk.evaporator.costing = UnitModelCostingBlock( flowsheet_costing_block=flowsheet_costing_block ) @@ -757,8 +1004,8 @@ def design_mvc(m, blk): # Add LCOW objective; unfix design variables set_up_optimization(m, blk) - blk.evaporator.eq_energy_balance.activate() - blk.evaporator.eq_energy_balance_with_external_heat.deactivate() + # blk.evaporator.eq_energy_balance.activate() + # blk.evaporator.eq_energy_balance_with_external_heat.deactivate() print(f"MVC DOF @ B = {degrees_of_freedom(m)}") results = solver.solve(m) @@ -811,15 +1058,16 @@ def display_metrics(m, blk): % blk.evaporator.properties_vapor[0].flow_mass_phase_comp["Vap", "H2O"].value ) print( - "Recovery: %.2f %%" % (blk.recovery.value * 100) + "Recovery: %.2f %%" + % (blk.recovery_mass.value * 100) + ) + print( + "Specific energy consumption: %.2f kWh/m3" + % value(m.fs.costing.SEC) + ) + print( + "Levelized cost of water: %.2f $/m3" % value(m.fs.costing.LCOW) ) - # print( - # "Specific energy consumption: %.2f kWh/m3" - # % value(m.fs.costing.SEC) - # ) - # print( - # "Levelized cost of water: %.2f $/m3" % value(m.fs.costing.LCOW) - # ) print( "External Q: %.2f W" % blk.external_heating.value ) # should be 0 for optimization @@ -946,10 +1194,10 @@ def scale_mvc_costs(m, blk): calculate_cost_sf(blk.mixer_feed.costing.capital_cost) calculate_cost_sf(blk.evaporator.costing.capital_cost) calculate_cost_sf(blk.compressor.costing.capital_cost) - calculate_cost_sf(m.fs.costing.aggregate_capital_cost) + # calculate_cost_sf(m.fs.costing.aggregate_capital_cost) # calculate_cost_sf(m.fs.costing.aggregate_flow_costs["electricity"]) - calculate_cost_sf(m.fs.costing.total_capital_cost) - calculate_cost_sf(m.fs.costing.total_operating_cost) + # calculate_cost_sf(m.fs.costing.total_capital_cost) + # calculate_cost_sf(m.fs.costing.total_operating_cost) calculate_scaling_factors(m) @@ -957,48 +1205,10 @@ def scale_mvc_costs(m, blk): if __name__ == "__main__": - - print("-------------GENERIC DESIGN------------- \n\n") - m = build_system() - mvc = m.fs.MVC - - set_system_operating_conditions(m) - - set_mvc_operating_conditions(m, mvc, recovery=0.65) - set_mvc_scaling(m, mvc) - init_system(m, mvc) - - add_mvc_costing(m, mvc) - - flow_vol = mvc.product.properties[0].flow_vol_phase["Liq"] - m.fs.costing.cost_process() - m.fs.costing.add_LCOW(flow_vol) - m.fs.costing.add_specific_energy_consumption(flow_vol, name="SEC") - m.fs.costing.initialize() - m.fs.costing.LCOW_obj = Objective(expr=m.fs.costing.LCOW) - print(f"dof = {degrees_of_freedom(m)}") - - results = solver.solve(m, tee=True) - print(f"termination {results.solver.termination_condition}") - m.fs.costing.LCOW_obj.deactivate() - # mvc.external_heating.display() - # assert False - # mvc.external_heating.fix() - # print(f"dof = {degrees_of_freedom(m)}") - - # results = solver.solve(m, tee=False) - # print(f"termination {results.solver.termination_condition}") - # assert_optimal_termination(results) - # print(f"dof = {degrees_of_freedom(m)}") - # print(f"termination {results.solver.termination_condition}") - - design_mvc(m, mvc) - m.fs.disposal.properties[0].conc_mass_phase_comp - results = solver.solve(m) - assert_optimal_termination(results) - print(f"dof = {degrees_of_freedom(m)}") - print(f"termination {results.solver.termination_condition}") - - print(f"LCOW {m.fs.costing.LCOW()}") - # mvc.recovery.display() - # m.fs.disposal.display() + m = build_and_run_mvc(recovery=0.4, Qin=1, tds=75) + m.fs.MVC.recovery_vol.display() + # m.fs.costing.total_capital_cost.display() + # m.fs.costing.total_operating_cost.display() + # m.fs.product.properties[0].flow_vol_phase.display() + # m.fs.MVC.product.properties[0].flow_vol_phase.display() + m.fs.costing.LCOW.display() From 0632ae88ea610e23dbfe9e2045459205bb7bace8 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 08:47:02 -0700 Subject: [PATCH 097/116] keeping old permian SOA file for now --- .../case_studies/permian/permian_SOA-old.py | 593 ++++++++++++++++++ 1 file changed, 593 insertions(+) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA-old.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA-old.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA-old.py new file mode 100644 index 00000000..dc7dc3fb --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA-old.py @@ -0,0 +1,593 @@ +import pathlib +from pyomo.environ import ( + ConcreteModel, + value, + TransformationFactory, + Param, + Var, + Constraint, + Set, + Expression, + Objective, + NonNegativeReals, + Block, + RangeSet, + check_optimal_termination, + assert_optimal_termination, + units as pyunits, +) +from pyomo.network import Arc, SequentialDecomposition +from pyomo.util.check_units import assert_units_consistent +from pyomo.util.calc_var_value import calculate_variable_from_constraint as cvc + +from idaes.core import FlowsheetBlock, UnitModelCostingBlock +from idaes.core.util.initialization import propagate_state as _prop_state +import idaes.core.util.scaling as iscale +from idaes.core import MaterialFlowBasis +from idaes.core.util.scaling import ( + constraint_scaling_transform, + calculate_scaling_factors, + set_scaling_factor, +) +import idaes.logger as idaeslogger +from idaes.core.util.exceptions import InitializationError +from idaes.models.unit_models import ( + Product, + Feed, + StateJunction, + Separator, + Mixer, + MixingType, + MomentumMixingType, +) +from idaes.core.util.model_statistics import * +from idaes.core.util.initialization import propagate_state + +from watertap.core.solvers import get_solver +from watertap.core import Database +from watertap_contrib.reflo.core.wt_reflo_database import REFLODatabase +from watertap.core.zero_order_properties import WaterParameterBlock as ZO +from watertap.property_models.multicomp_aq_sol_prop_pack import ( + MCASParameterBlock as MCAS, +) + +# from watertap.costing.zero_order_costing import ZeroOrderCosting +from watertap_contrib.reflo.kurby import * +from watertap.core.util.model_diagnostics.infeasible import * +from watertap.core.util.initialization import * +from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock +from watertap.property_models.water_prop_pack import ( + WaterParameterBlock as SteamParameterBlock, +) +from watertap_contrib.reflo.costing import ( + TreatmentCosting, + EnergyCosting, + REFLOCosting, +) +from watertap_contrib.reflo.analysis.case_studies.KBHDP.utils import * +from watertap_contrib.reflo.analysis.case_studies.permian import * +from watertap_contrib.reflo.unit_models.deep_well_injection import DeepWellInjection + +reflo_dir = pathlib.Path(__file__).resolve().parents[3] +case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" +rho = 1125 * pyunits.kg / pyunits.m**3 +rho_water = 995 * pyunits.kg / pyunits.m**3 + +solver = get_solver() + +__all__ = [ + "build_permian_SOA", + "set_operating_conditions_SOA", + "add_treatment_costing", + "set_SOA_scaling", + "init_SOA_system", + "run_permian_SOA", +] + + +def build_permian_SOA(mvc_recovery=0.5): + """ + Build Permian state-of-the-art flowsheet + """ + + m = ConcreteModel() + m.mvc_recovery = mvc_recovery + m.fs = FlowsheetBlock(dynamic=False) + m.db = REFLODatabase() + + m.fs.properties = ZO(solute_list=["tds"]) + + m.fs.properties_feed = SeawaterParameterBlock() + m.fs.properties_vapor = SteamParameterBlock() + + # Begin building Treatment Block + m.fs.treatment = treat = Block() + + treat.feed = Feed(property_package=m.fs.properties) + treat.product = Product(property_package=m.fs.properties_feed) + + # Add translator blocks + treat.zo_to_sw_feed = Translator_ZO_to_SW( + inlet_property_package=m.fs.properties, + outlet_property_package=m.fs.properties_feed, + ) + + treat.zo_to_sw_disposal = Translator_ZO_to_SW( + inlet_property_package=m.fs.properties, + outlet_property_package=m.fs.properties_feed, + ) + + # treat.sw_to_zo = Translator_SW_to_ZO( + # inlet_property_package=m.fs.properties_feed, + # outlet_property_package=m.fs.properties, + # ) + + treat.disposal_ZO_mixer = Mixer( + property_package=m.fs.properties, + num_inlets=2, + inlet_list=["ec_disposal", "cart_filt_disposal"], + energy_mixing_type=MixingType.none, + momentum_mixing_type=MomentumMixingType.none, + ) + + treat.disposal_SW_mixer = Mixer( + property_package=m.fs.properties_feed, + num_inlets=2, + inlet_list=["zo_mixer", "mvc_disposal"], + energy_mixing_type=MixingType.none, + momentum_mixing_type=MomentumMixingType.equality, + ) + + treat.chem_addition = FlowsheetBlock(dynamic=False) + build_chem_addition(m, treat.chem_addition) + + treat.EC = FlowsheetBlock(dynamic=False) + build_ec(m, treat.EC) + + treat.cart_filt = FlowsheetBlock(dynamic=False) + build_cartridge_filtration(m, treat.cart_filt) + + treat.MVC = FlowsheetBlock(dynamic=False) + build_mvc(m, treat.MVC) + + treat.DWI = FlowsheetBlock(dynamic=False) + build_dwi(m, treat.DWI, m.fs.properties_feed) + + # BUILD PRODUCT STREAM + # feed > chem_addition > EC > cart_filt > ZO_to_SW_translator > MVC > product + treat.feed_to_chem_addition = Arc( + source=treat.feed.outlet, destination=treat.chem_addition.feed.inlet + ) + + treat.chem_addition_to_ec = Arc( + source=treat.chem_addition.product.outlet, destination=treat.EC.feed.inlet + ) + + treat.ec_to_cart_filt = Arc( + source=treat.EC.product.outlet, destination=treat.cart_filt.feed.inlet + ) + + # from ZO to SW - feed + treat.cart_filt_to_translator = Arc( + source=treat.cart_filt.product.outlet, destination=treat.zo_to_sw_feed.inlet + ) + + treat.cart_filt_translated_to_mvc = Arc( + source=treat.zo_to_sw_feed.outlet, destination=treat.MVC.feed.inlet + ) + + treat.mvc_to_product = Arc( + source=treat.MVC.product.outlet, destination=treat.product.inlet + ) + + # BUILD DISPOSAL STREAM + # EC > ZO_mixer > ZO_to_SW_translator > disposal_mixer > disposal_mixer > DWI + # cart_filt > ZO_mixer + # MVC > disposal_mixer + + treat.ec_to_disposal_mix = Arc( + source=treat.EC.disposal.outlet, destination=treat.disposal_ZO_mixer.ec_disposal + ) + + treat.cart_filt_to_disposal_mix = Arc( + source=treat.cart_filt.disposal.outlet, + destination=treat.disposal_ZO_mixer.cart_filt_disposal, + ) + + treat.disposal_ZO_mix_to_translator = Arc( + source=treat.disposal_ZO_mixer.outlet, destination=treat.zo_to_sw_disposal.inlet + ) + + treat.disposal_ZO_mix_translated_to_disposal_SW_mixer = Arc( + source=treat.zo_to_sw_disposal.outlet, + destination=treat.disposal_SW_mixer.zo_mixer, + ) + + treat.mvc_disposal_to_translator = Arc( + source=treat.MVC.disposal.outlet, + destination=treat.disposal_SW_mixer.mvc_disposal, + ) + + treat.disposal_SW_mixer_to_dwi = Arc( + source=treat.disposal_SW_mixer.outlet, destination=treat.DWI.feed.inlet + ) + + TransformationFactory("network.expand_arcs").apply_to(m) + + treat.recovery = Var( + initialize=0.5, + bounds=(0, 1.0001), + units=pyunits.dimensionless, + doc="Overall system recovery", + ) + + # m.fs.treatment.eq_recovery = Constraint( + # expr=m.fs.treatment.recovery * m.fs.treatment.feed.properties[0].flow_vol + # == m.fs.treatment.product.properties[0].flow_vol_phase["Liq"] + # ) + + add_treatment_costing(m) + + return m + + +def set_operating_conditions_SOA(m, Qin=5, tds=130, **kwargs): + + global flow_mass_water, flow_mass_tds, flow_in + m.fs.properties.dens_mass_default = rho + + Qin = Qin * pyunits.Mgallons / pyunits.day + m.flow_in = flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) + flow_mass_water = pyunits.convert(Qin * rho_water, to_units=pyunits.kg / pyunits.s) + flow_mass_tds = pyunits.convert( + Qin * tds * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.s + ) + + m.fs.treatment.feed.properties[0].flow_mass_comp["H2O"].fix(flow_mass_water) + m.fs.treatment.feed.properties[0].flow_mass_comp["tds"].fix(flow_mass_tds) + m.fs.treatment.feed.properties[0].conc_mass_comp[...] + + set_chem_addition_op_conditions(m, m.fs.treatment.chem_addition, **kwargs) + set_ec_operating_conditions(m, m.fs.treatment.EC, **kwargs) + set_cart_filt_op_conditions(m, m.fs.treatment.cart_filt, **kwargs) + set_mvc_operating_conditions(m, m.fs.treatment.MVC, **kwargs) + + +def add_treatment_costing(m): + + m.fs.treatment.costing = TreatmentCosting(case_study_definition=case_study_yaml) + add_chem_addition_costing( + m, m.fs.treatment.chem_addition, flowsheet_costing_block=m.fs.treatment.costing + ) + add_ec_costing(m, m.fs.treatment.EC, flowsheet_costing_block=m.fs.treatment.costing) + add_cartridge_filtration_costing( + m, m.fs.treatment.cart_filt, flowsheet_costing_block=m.fs.treatment.costing + ) + add_mvc_costing( + m, m.fs.treatment.MVC, flowsheet_costing_block=m.fs.treatment.costing + ) + add_dwi_costing( + m, m.fs.treatment.DWI, flowsheet_costing_block=m.fs.treatment.costing + ) + + m.fs.treatment.costing.cost_process() + + +def set_SOA_scaling(m, **kwargs): + + set_permian_pretreatment_scaling(m, calculate_m_scaling_factors=False) + + set_mvc_scaling(m, m.fs.treatment.MVC, calc_blk_scaling_factors=True) + + # SW DISPOSAL MIXER + # MVC disposal inlet + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.mvc_disposal_state[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1e-2, + ) + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.mvc_disposal_state[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 0.1, + ) + + calculate_scaling_factors(m) + + +def init_SOA_system(m, mvc_inlet_temp=50, **kwargs): + + treat = m.fs.treatment + + treat.feed.initialize() + propagate_state(treat.feed_to_chem_addition) + + init_chem_addition(m, treat.chem_addition) + propagate_state(treat.chem_addition_to_ec) + + init_ec(m, treat.EC) + propagate_state(treat.ec_to_cart_filt) + propagate_state(treat.ec_to_disposal_mix) + + init_cart_filt(m, treat.cart_filt) + propagate_state(treat.cart_filt_to_translator) + propagate_state(treat.cart_filt_to_disposal_mix) + + treat.disposal_ZO_mixer.initialize() + propagate_state(treat.disposal_ZO_mix_to_translator) + + treat.zo_to_sw_disposal.outlet.temperature[0].fix(293.15) + treat.zo_to_sw_disposal.outlet.pressure[0].fix(101325) + treat.zo_to_sw_disposal.initialize() + + treat.zo_to_sw_feed.properties_out[0].temperature.fix(273.15 + mvc_inlet_temp) + # treat.zo_to_sw_feed.properties_out[0].temperature.set_value(273.15 + mvc_inlet_temp) # K + treat.zo_to_sw_feed.properties_out[0].pressure.fix(101325) + treat.zo_to_sw_feed.initialize() + + propagate_state(treat.cart_filt_translated_to_mvc) + init_mvc(m, treat.MVC, feed_props=treat.zo_to_sw_feed.properties_out[0]) + propagate_state(treat.mvc_to_product) + propagate_state(treat.mvc_disposal_to_translator) + + propagate_state(treat.disposal_ZO_mix_translated_to_disposal_SW_mixer) + treat.disposal_SW_mixer.initialize() + treat.disposal_SW_mixer.mixed_state[0].pressure.fix(101325) + # treat.disposal_SW_mixer.mixed_state[0].temperature.fix() + + propagate_state(treat.disposal_SW_mixer_to_dwi) + + init_dwi(m, treat.DWI) + + treat.product.initialize() + treat.costing.initialize() + assert False + + + + + +def run_permian_SOA(recovery=0.5, **kwargs): + """ + Run Permian state-of-the-art case study + """ + + m = build_permian_SOA() + treat = m.fs.treatment + mvc = treat.MVC + mvc.feed.properties[0].conc_mass_phase_comp + + set_operating_conditions_SOA(m, **kwargs) + set_SOA_scaling(m) + + # treat.feed.properties[0].flow_vol + # treat.feed.properties[0].conc_mass_comp + treat.chem_addition.unit.chemical_flow_vol[0] = 1e-5 + # treat.feed.properties[0].conc_mass_comp.display() + # assert False + + # m.fs.treatment.costing.initialize() + # check_jac(m) + # assert False + + init_SOA_system(m) + + # check_jac(m) + # mvc.evaporator.display() + # assert False + # check_vars(m.fs.treatment.MVC.hx_brine, skip_list=["properties_feed", "properties_vapor", "_ref"]) + # assert False + + flow_vol = treat.product.properties[0].flow_vol_phase["Liq"] + treat.product.properties[0].flow_vol_phase["Liq"] = value(recovery * m.flow_in) + + treat.costing.add_LCOW(flow_vol) + treat.costing.add_specific_energy_consumption(flow_vol, name="SEC") + treat.costing.initialize() + # results = solver.solve(m) + # assert_optimal_termination(results) + + # First, minimize external heating + # mvc.external_heating_obj = Objective(expr=mvc.external_heating) + try: + print(f"DOF = {degrees_of_freedom(m)}") + results = solver.solve(mvc, tee=True) + # results = solver.solve(m, tee=True) + assert_optimal_termination(results) + except: + print_infeasible_constraints(m) + print_variables_close_to_bounds(m) + print("SOLVE FAILED") + return m + print(f"DOF = {degrees_of_freedom(m)}") + + # Next, minimize LCOW for MVC design + # mvc.del_component(mvc.external_heating_obj) + # treat.LCOW_obj = Objective(expr=treat.costing.LCOW) + + # treat.costing.electricity_cost.fix(0.07) + + try: + mvc.evaporator.area.unfix() + results = solver.solve(m, tee=True) + assert_optimal_termination(results) + except: + print_infeasible_constraints(m) + print_variables_close_to_bounds(m) + print("SOLVE FAILED") + return m + return m + # Optimize design + mvc.external_heating.fix(0) # Remove external heating + mvc.evaporator.area.unfix() + mvc.evaporator.outlet_brine.temperature[0].unfix() + mvc.compressor.pressure_ratio.unfix() + mvc.hx_distillate.area.unfix() + mvc.hx_brine.area.unfix() + # treat.zo_to_sw_feed.properties_out[0].temperature.unfix() + + # Add flowsheet level recovery + treat.eq_recovery = Constraint( + expr=treat.recovery * treat.feed.properties[0].flow_vol + == treat.product.properties[0].flow_vol_phase["Liq"] + ) + treat.recovery.fix(recovery) + + # Unfix MVC recovery + mvc.recovery.unfix() + + try: + results = solver.solve(m) + assert_optimal_termination(results) + except: + print_infeasible_constraints(m) + print_variables_close_to_bounds(m) + print("SOLVE FAILED") + return m + print(f"DOF = {degrees_of_freedom(m)}") + + mvc.evaporator.area.fix() + # mvc.evaporator.outlet_brine.temperature[0].fix() + mvc.compressor.pressure_ratio.fix() + mvc.hx_distillate.area.fix() + # mvc.hx_brine.area.fix() + mvc.recovery.fix() # effectively fixes split_fraction on separator + + mvc.compressor.control_volume.properties_out[0.0].temperature.setub(500) + + # try: + print(f"DOF = {degrees_of_freedom(m)}") + # mvc.feed.properties[0].conc_mass_phase_comp + results = solver.solve(m, tee=False) + assert_optimal_termination(results) + mvc.hx_brine.area.fix() + print(f"DOF = {degrees_of_freedom(m)}") + results = solver.solve(m, tee=False) + assert_optimal_termination(results) + + return m + + +# def run_permian_SOA(recovery=0.5): +# """ +# Run Permian state-of-the-art case study +# """ + +# m = build_permian_SOA() +# treat = m.fs.treatment +# mvc = treat.MVC + +# set_operating_conditions_SOA(m) +# set_SOA_scaling(m) + +# treat.feed.properties[0].flow_vol + +# init_SOA_system(m) + +# flow_vol = treat.product.properties[0].flow_vol_phase["Liq"] +# treat.product.properties[0].flow_vol_phase["Liq"] = value(recovery * flow_in) + +# treat.costing.add_LCOW(flow_vol) +# treat.costing.add_specific_energy_consumption(flow_vol, name="SEC") +# treat.costing.initialize() +# results = solver.solve(m) +# assert_optimal_termination(results) +# # mvc.external_heating.display() +# # assert False + +# # First, minimize external heating +# # mvc.external_heating_obj = Objective(expr=mvc.external_heating) + +# # try: +# # results = solver.solve(m) +# # assert_optimal_termination(results) +# # except: +# # print_infeasible_constraints(m) +# # print_variables_close_to_bounds(m) +# # print("SOLVE FAILED") +# print(f"DOF = {degrees_of_freedom(m)}") +# # return m +# # assert False + +# # Next, minimize LCOW for MVC design +# # mvc.del_component(mvc.external_heating_obj) +# treat.LCOW_obj = Objective(expr=treat.costing.LCOW) + +# treat.costing.electricity_cost.fix(0.07) + +# try: +# results = solver.solve(m) +# assert_optimal_termination(results) +# except: +# print_infeasible_constraints(m) +# print_variables_close_to_bounds(m) +# print("SOLVE FAILED") +# return m + +# # Optimize design +# mvc.external_heating.fix(0) # Remove external heating +# mvc.evaporator.area.unfix() +# mvc.evaporator.outlet_brine.temperature[0].unfix() +# mvc.compressor.pressure_ratio.unfix() +# mvc.hx_distillate.area.unfix() +# mvc.hx_brine.area.unfix() +# # treat.zo_to_sw_feed.properties_out[0].temperature.unfix() + +# # Add flowsheet level recovery +# treat.eq_recovery = Constraint( +# expr=treat.recovery * treat.feed.properties[0].flow_vol +# == treat.product.properties[0].flow_vol_phase["Liq"] +# ) +# treat.recovery.fix(recovery) + +# # Unfix MVC recovery +# mvc.recovery.unfix() + +# results = solver.solve(m) +# assert_optimal_termination(results) +# print(f"DOF = {degrees_of_freedom(m)}") + +# mvc.evaporator.area.fix() +# # mvc.evaporator.outlet_brine.temperature[0].fix() +# mvc.compressor.pressure_ratio.fix() +# mvc.hx_distillate.area.fix() +# mvc.hx_brine.area.fix() +# mvc.recovery.fix() # effectively fixes split_fraction on separator + +# # TODO: This results in 1 DOF +# # Possible additional DOF are +# # EC conductivity +# # temperature/pressure on dispoal mixer +# # mvc.pump_brine.control_volume.deltaP[0].fix() +# # treat.zo_to_sw_feed.properties_out[0].temperature.fix() +# # treat.EC.unit.conductivity.fix() + +# mvc.compressor.control_volume.properties_out[0.0].temperature.setub(500) + +# # try: +# print(f"DOF = {degrees_of_freedom(m)}") +# mvc.feed.properties[0].conc_mass_phase_comp +# results = solver.solve(m) +# assert_optimal_termination(results) +# # print(f"termination {results.solver.termination_condition}") +# # print(f"DOF = {degrees_of_freedom(m)}") +# # except: +# # print_infeasible_constraints(m) +# # print_variables_close_to_bounds(m) +# # print("SOLVE FAILED") + +# return m + + +if __name__ == "__main__": + + m = run_permian_SOA() + # treat = m.fs.treatment + # mvc = treat.MVC + # mvc.evaporator.outlet_brine.display() + # # treat.disposal_SW_mixer.display() + # # print(m.fs.treatment.costing.LCOW(), m.fs.treatment.EC.unit.conductivity()) + # # treat.feed.conc_mass_comp.display() + # mvc.feed.display() From d84caa20f479cf7897b001b72b27aac6e9a3a72b Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 08:47:50 -0700 Subject: [PATCH 098/116] hacky way to run permian SOA --- .../case_studies/permian/permian_SOA.py | 569 ++++++++---------- 1 file changed, 237 insertions(+), 332 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py index 97a1fb00..4bc6b9e8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py @@ -1,3 +1,6 @@ +import pandas as pd +import numpy as np +import time import pathlib from pyomo.environ import ( ConcreteModel, @@ -52,6 +55,7 @@ ) # from watertap.costing.zero_order_costing import ZeroOrderCosting +from watertap_contrib.reflo.kurby import * from watertap.core.util.model_diagnostics.infeasible import * from watertap.core.util.initialization import * from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock @@ -63,12 +67,14 @@ EnergyCosting, REFLOCosting, ) +from watertap_contrib.reflo.analysis.case_studies.KBHDP.utils import * from watertap_contrib.reflo.analysis.case_studies.permian import * from watertap_contrib.reflo.unit_models.deep_well_injection import DeepWellInjection reflo_dir = pathlib.Path(__file__).resolve().parents[3] case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" -rho = 1000 * pyunits.kg / pyunits.m**3 +rho = 1125 * pyunits.kg / pyunits.m**3 +rho_water = 995 * pyunits.kg / pyunits.m**3 solver = get_solver() @@ -82,367 +88,266 @@ ] -def build_permian_SOA(): - """ - Build Permian state-of-the-art flowsheet - """ +def build_permian_SOA( + pretreatment_recovery=0.98, recovery=0.5, Qin=5, tds=130, **kwargs +): + m_pre = build_and_run_permian_pretreatment(Qin=Qin, tds=tds, **kwargs) + # results = solve_permian_SOA(m_pre) + # m.fs.treatment.product.display() + flow_to_mvc = pyunits.convert( + m_pre.fs.treatment.product.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.Mgallons / pyunits.day, + )() + flow_to_mvc = Qin * pretreatment_recovery + tds_to_mvc = pyunits.convert( + m_pre.fs.treatment.product.properties[0].conc_mass_phase_comp["Liq", "TDS"], + to_units=pyunits.gram / pyunits.liter, + )() + print(f"Flow to MVC: {flow_to_mvc} MGD") + print(f"TDS to MVC: {tds_to_mvc} g/L") + # assert False + m_mvc = build_and_run_mvc( + recovery=recovery, Qin=Qin * pretreatment_recovery, tds=tds_to_mvc, **kwargs + ) + # results = solve_permian_SOA(m_mvc) + + flow_to_dwi = pyunits.convert( + m_mvc.fs.disposal.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.Mgallons / pyunits.day, + )() + tds_to_dwi = pyunits.convert( + m_mvc.fs.disposal.properties[0].conc_mass_phase_comp["Liq", "TDS"], + to_units=pyunits.gram / pyunits.liter, + )() + m_dwi = build_and_run_dwi(Qin=flow_to_dwi, tds=tds_to_dwi, **kwargs) + # results = solve_permian_SOA(m_dwi) + + # print(f"Flow to pretreatment: {Qin} MGD") + # print(f"TDS to pretreatment: {tds} g/L") + + # print(f"Flow to MVC: {flow_to_mvc} MGD") + # print(f"TDS to MVC: {tds_to_mvc} g/L") + + # print(f"Flow to DWI: {flow_to_dwi} MGD") + # print(f"TDS to DWI: {tds_to_dwi} g/L") + + product_flow = pyunits.convert( + m_mvc.fs.product.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.year, + )() + product_flow_mgd = pyunits.convert( + m_mvc.fs.product.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.Mgallons / pyunits.day, + )() + system_recovery = product_flow_mgd / Qin + flow_to_product = product_flow_mgd m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) - m.db = REFLODatabase() - - m.fs.properties = ZO(solute_list=["tds"]) - - m.fs.properties_feed = SeawaterParameterBlock() - m.fs.properties_vapor = SteamParameterBlock() - - # Begin building Treatment Block - m.fs.treatment = treat = Block() - - treat.feed = Feed(property_package=m.fs.properties) - treat.product = Product(property_package=m.fs.properties_feed) - - # Add translator blocks - treat.zo_to_sw_feed = Translator_ZO_to_SW( - inlet_property_package=m.fs.properties, - outlet_property_package=m.fs.properties_feed, + m.fs.costing = Block() + + m.fs.recovery = Var(initialize=recovery) + m.fs.recovery.fix() + m.fs.system_recovery = Var(initialize=system_recovery) + m.fs.system_recovery.fix() + m.fs.flow_mgd = Var(initialize=Qin) + m.fs.flow_mgd.fix() + m.fs.flow_to_mvc = Var(initialize=flow_to_mvc) + m.fs.flow_to_mvc.fix() + m.fs.flow_to_dwi = Var(initialize=flow_to_dwi) + m.fs.flow_to_dwi.fix() + m.fs.flow_to_product = Var(initialize=flow_to_product) + m.fs.flow_to_product.fix() + + m.fs.tds = Var(initialize=tds) + m.fs.tds.fix() + m.fs.tds_to_mvc = Var(initialize=tds_to_mvc) + m.fs.tds_to_mvc.fix() + m.fs.tds_to_dwi = Var(initialize=tds_to_dwi) + m.fs.tds_to_dwi.fix() + + m.fs.costing.total_capital_cost = Var( + initialize=1e6, bounds=(0, None), units=pyunits.USD_2023 ) - - treat.zo_to_sw_disposal = Translator_ZO_to_SW( - inlet_property_package=m.fs.properties, - outlet_property_package=m.fs.properties_feed, - ) - - treat.sw_to_zo = Translator_SW_to_ZO( - inlet_property_package=m.fs.properties_feed, - outlet_property_package=m.fs.properties, - ) - - treat.disposal_ZO_mixer = Mixer( - property_package=m.fs.properties, - num_inlets=2, - inlet_list=["ec_disposal", "cart_filt_disposal"], - energy_mixing_type=MixingType.none, - momentum_mixing_type=MomentumMixingType.none, + m.fs.costing.pretreatment_capital_cost = Var( + initialize=m_pre.fs.treatment.costing.total_capital_cost(), bounds=(0, None) ) - - treat.disposal_SW_mixer = Mixer( - property_package=m.fs.properties_feed, - num_inlets=2, - inlet_list=["zo_mixer", "mvc_disposal"], - energy_mixing_type=MixingType.none, - momentum_mixing_type=MomentumMixingType.none, + m.fs.costing.MVC_capital_cost = Var( + initialize=m_mvc.fs.costing.total_capital_cost(), bounds=(0, None) ) - - treat.chem_addition = FlowsheetBlock(dynamic=False) - build_chem_addition(m, treat.chem_addition) - - treat.EC = FlowsheetBlock(dynamic=False) - build_ec(m, treat.EC) - - treat.cart_filt = FlowsheetBlock(dynamic=False) - build_cartridge_filtration(m, treat.cart_filt) - - treat.MVC = FlowsheetBlock(dynamic=False) - build_mvc(m, treat.MVC) - - treat.DWI = FlowsheetBlock(dynamic=False) - build_dwi(m, treat.DWI, m.fs.properties_feed) - - # BUILD PRODUCT STREAM - # feed > chem_addition > EC > cart_filt > ZO_to_SW_translator > MVC > product - treat.feed_to_chem_addition = Arc( - source=treat.feed.outlet, destination=treat.chem_addition.feed.inlet + m.fs.costing.DWI_capital_cost = Var( + initialize=m_dwi.fs.costing.total_capital_cost(), bounds=(0, None) ) + m.fs.costing.LCOW = Var(initialize=5, bounds=(0, None)) - treat.chem_addition_to_ec = Arc( - source=treat.chem_addition.product.outlet, destination=treat.EC.feed.inlet - ) + m.fs.costing.pretreatment_capital_cost.fix() + m.fs.costing.MVC_capital_cost.fix() + m.fs.costing.DWI_capital_cost.fix() - treat.ec_to_cart_filt = Arc( - source=treat.EC.product.outlet, destination=treat.cart_filt.feed.inlet + m.fs.costing.aggregate_flow_electricity = Expression( + expr=m_pre.fs.treatment.costing.aggregate_flow_electricity() + + m_mvc.fs.costing.aggregate_flow_electricity() + # + m_dwi.fs.costing.aggregate_flow_electricity() ) - - # from ZO to SW - feed - treat.cart_filt_to_translator = Arc( - source=treat.cart_filt.product.outlet, destination=treat.zo_to_sw_feed.inlet + m.fs.costing.total_operating_cost = Expression( + expr=m_pre.fs.treatment.costing.total_operating_cost() + + m_mvc.fs.costing.total_operating_cost() + + m_dwi.fs.costing.total_operating_cost(), ) - - treat.cart_filt_translated_to_mvc = Arc( - source=treat.zo_to_sw_feed.outlet, destination=treat.MVC.feed.inlet + m.fs.costing.annualized_capital_cost = Expression( + expr=m.fs.costing.total_capital_cost + * m_dwi.fs.costing.capital_recovery_factor() ) - treat.mvc_to_product = Arc( - source=treat.MVC.product.outlet, destination=treat.product.inlet + m.fs.costing.total_capital_cost_constr = Constraint( + expr=m.fs.costing.total_capital_cost + == m.fs.costing.pretreatment_capital_cost + + m.fs.costing.MVC_capital_cost + + m.fs.costing.DWI_capital_cost ) - # BUILD DISPOSAL STREAM - # EC > ZO_mixer > ZO_to_SW_translator > disposal_mixer > disposal_mixer > DWI - # cart_filt > ZO_mixer - # MVC > disposal_mixer + numerator = m.fs.costing.annualized_capital_cost + m.fs.costing.total_operating_cost - treat.ec_to_disposal_mix = Arc( - source=treat.EC.disposal.outlet, destination=treat.disposal_ZO_mixer.ec_disposal + m.fs.costing.LCOW_constr = Constraint( + expr=m.fs.costing.LCOW + == (m.fs.costing.annualized_capital_cost + m.fs.costing.total_operating_cost) + / product_flow ) - treat.cart_filt_to_disposal_mix = Arc( - source=treat.cart_filt.disposal.outlet, - destination=treat.disposal_ZO_mixer.cart_filt_disposal, - ) + # m_mvc.fs.costing.LCOW.display() + # results = solver.solve(m) + assert degrees_of_freedom(m) == 0 + results = solve_permian_SOA(m) - treat.disposal_ZO_mix_to_translator = Arc( - source=treat.disposal_ZO_mixer.outlet, destination=treat.zo_to_sw_disposal.inlet - ) - - treat.disposal_ZO_mix_translated_to_disposal_SW_mixer = Arc( - source=treat.zo_to_sw_disposal.outlet, - destination=treat.disposal_SW_mixer.zo_mixer, - ) - - treat.mvc_disposal_to_translator = Arc( - source=treat.MVC.disposal.outlet, - destination=treat.disposal_SW_mixer.mvc_disposal, - ) - - treat.disposal_SW_mixer_to_dwi = Arc( - source=treat.disposal_SW_mixer.outlet, destination=treat.DWI.feed.inlet - ) - - TransformationFactory("network.expand_arcs").apply_to(m) - - treat.recovery = Var( - initialize=0.5, - bounds=(0, 1.0001), - units=pyunits.dimensionless, - doc="Overall system recovery", - ) - - # m.fs.treatment.eq_recovery = Constraint( - # expr=m.fs.treatment.recovery * m.fs.treatment.feed.properties[0].flow_vol - # == m.fs.treatment.product.properties[0].flow_vol_phase["Liq"] + # print(f"System CAPEX = {m.fs.costing.total_capital_cost()}") + # print(f"System OPEX = {m.fs.costing.total_operating_cost()}") + # print( + # f"System Aggregate Flow Electricity = {m.fs.costing.aggregate_flow_electricity()}" # ) + # print(f"numerator = {numerator()}") + # print(f"product_flow = {product_flow}") + print(f"System LCOW = {m.fs.costing.LCOW()}") - add_treatment_costing(m) - - return m - - -def set_operating_conditions_SOA(m, Qin=5, tds=130, **kwargs): - - global flow_mass_water, flow_mass_tds, flow_in - - Qin = Qin * pyunits.Mgallons / pyunits.day - flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - flow_mass_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) - flow_mass_tds = pyunits.convert( - Qin * tds * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.s - ) - - m.fs.treatment.feed.properties[0].flow_mass_comp["H2O"].fix(flow_mass_water) - m.fs.treatment.feed.properties[0].flow_mass_comp["tds"].fix(flow_mass_tds) - m.fs.treatment.feed.properties[0].conc_mass_comp[...] - - set_chem_addition_op_conditions(m, m.fs.treatment.chem_addition, **kwargs) - set_ec_operating_conditions(m, m.fs.treatment.EC, **kwargs) - set_cart_filt_op_conditions(m, m.fs.treatment.cart_filt, **kwargs) - set_mvc_operating_conditions(m, m.fs.treatment.MVC, **kwargs) - - -def add_treatment_costing(m): - - m.fs.treatment.costing = TreatmentCosting(case_study_definition=case_study_yaml) - add_chem_addition_costing( - m, m.fs.treatment.chem_addition, flowsheet_costing_block=m.fs.treatment.costing - ) - add_ec_costing(m, m.fs.treatment.EC, flowsheet_costing_block=m.fs.treatment.costing) - add_cartridge_filtration_costing( - m, m.fs.treatment.cart_filt, flowsheet_costing_block=m.fs.treatment.costing + print( + f"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" ) - add_mvc_costing( - m, m.fs.treatment.MVC, flowsheet_costing_block=m.fs.treatment.costing + print( + f"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FINISHED %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" ) - add_dwi_costing( - m, m.fs.treatment.DWI, flowsheet_costing_block=m.fs.treatment.costing + print( + f"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% {Qin}, {tds} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" ) - - m.fs.treatment.costing.cost_process() - - -def set_SOA_scaling(m, **kwargs): - - m.fs.properties.set_default_scaling( - "flow_mass_comp", - 1 / value(flow_mass_water), - index=("H2O"), - ) - - m.fs.properties.set_default_scaling( - "flow_mass_comp", - 1 / value(flow_mass_tds), - index=("tds"), - ) - - set_ec_scaling(m, m.fs.treatment.EC, calc_blk_scaling_factors=True) - - set_mvc_scaling(m, m.fs.treatment.MVC, calc_blk_scaling_factors=True) - - calculate_scaling_factors(m) - - -def init_SOA_system(m, mvc_inlet_temp=50.5, **kwargs): - - treat = m.fs.treatment - - treat.feed.initialize() - propagate_state(treat.feed_to_chem_addition) - - init_chem_addition(m, treat.chem_addition) - propagate_state(treat.chem_addition_to_ec) - - init_ec(m, treat.EC) - propagate_state(treat.ec_to_cart_filt) - propagate_state(treat.ec_to_disposal_mix) - - init_cart_filt(m, treat.cart_filt) - propagate_state(treat.cart_filt_to_translator) - propagate_state(treat.cart_filt_to_disposal_mix) - - treat.disposal_ZO_mixer.initialize() - propagate_state(treat.disposal_ZO_mix_to_translator) - - treat.zo_to_sw_disposal.outlet.temperature[0].fix(293.15) - treat.zo_to_sw_disposal.outlet.pressure[0].fix(101325) - treat.zo_to_sw_disposal.initialize() - - treat.zo_to_sw_feed.properties_out[0].temperature.fix(273.15 + mvc_inlet_temp) - # treat.zo_to_sw_feed.properties_out[0].temperature.set_value(273.15 + mvc_inlet_temp) # K - treat.zo_to_sw_feed.properties_out[0].pressure.fix(101325) - treat.zo_to_sw_feed.initialize() - - propagate_state(treat.cart_filt_translated_to_mvc) - - init_mvc(m, treat.MVC) - propagate_state(treat.mvc_to_product) - propagate_state(treat.mvc_disposal_to_translator) - - propagate_state(treat.disposal_ZO_mix_translated_to_disposal_SW_mixer) - treat.disposal_SW_mixer.initialize() - treat.disposal_SW_mixer.mixed_state[0].pressure.fix(101325) - # treat.disposal_SW_mixer.mixed_state[0].temperature.fix() - - propagate_state(treat.disposal_SW_mixer_to_dwi) - - init_dwi(m, treat.DWI) - - treat.product.initialize() - - -def run_permian_SOA(recovery=0.5): - """ - Run Permian state-of-the-art case study - """ - - m = build_permian_SOA() - treat = m.fs.treatment - mvc = treat.MVC - - set_operating_conditions_SOA(m) - set_SOA_scaling(m) - - treat.feed.properties[0].flow_vol - - init_SOA_system(m) - - flow_vol = treat.product.properties[0].flow_vol_phase["Liq"] - treat.product.properties[0].flow_vol_phase["Liq"] = value(recovery * flow_in) - - treat.costing.add_LCOW(flow_vol) - treat.costing.add_specific_energy_consumption(flow_vol, name="SEC") - treat.costing.initialize() - - # First, minimize external heating - mvc.external_heating_obj = Objective(expr=mvc.external_heating) - - try: - results = solver.solve(m) - assert_optimal_termination(results) - except: - print_infeasible_constraints(m) - print_variables_close_to_bounds(m) - print("SOLVE FAILED") - return m - - # Next, minimize LCOW for MVC design - mvc.del_component(mvc.external_heating_obj) - treat.LCOW_obj = Objective(expr=treat.costing.LCOW) - - treat.costing.electricity_cost.fix(0.07) - - try: - results = solver.solve(m) - assert_optimal_termination(results) - except: - print_infeasible_constraints(m) - print_variables_close_to_bounds(m) - print("SOLVE FAILED") - return m - - # Optimize design - mvc.external_heating.fix(0) # Remove external heating - mvc.evaporator.area.unfix() - mvc.evaporator.outlet_brine.temperature[0].unfix() - mvc.compressor.pressure_ratio.unfix() - mvc.hx_distillate.area.unfix() - mvc.hx_brine.area.unfix() - # treat.zo_to_sw_feed.properties_out[0].temperature.unfix() - - # Add flowsheet level recovery - treat.eq_recovery = Constraint( - expr=treat.recovery * treat.feed.properties[0].flow_vol - == treat.product.properties[0].flow_vol_phase["Liq"] + print( + f"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" ) - treat.recovery.fix(recovery) + return m, m_pre, m_mvc, m_dwi - # Unfix MVC recovery - mvc.recovery.unfix() +def solve_permian_SOA(m): + solver = get_solver() results = solver.solve(m) assert_optimal_termination(results) - print(f"DOF = {degrees_of_freedom(m)}") - - mvc.evaporator.area.fix() - mvc.evaporator.outlet_brine.temperature[0].fix() - mvc.compressor.pressure_ratio.fix() - mvc.hx_distillate.area.fix() - mvc.hx_brine.area.fix() - mvc.recovery.fix() # effectively fixes split_fraction on separator - - # TODO: This results in 1 DOF - # Possible additional DOF are - # EC conductivity - # temperature/pressure on dispoal mixer - # mvc.pump_brine.control_volume.deltaP[0].fix() - # treat.zo_to_sw_feed.properties_out[0].temperature.fix() - # treat.EC.unit.conductivity.fix() - - mvc.compressor.control_volume.properties_out[0.0].temperature.setub(500) - - try: - results = solver.solve(m) - assert_optimal_termination(results) - print(f"termination {results.solver.termination_condition}") - print(f"DOF = {degrees_of_freedom(m)}") - except: - print_infeasible_constraints(m) - print_variables_close_to_bounds(m) - print("SOLVE FAILED") - - return m + return results if __name__ == "__main__": - m = run_permian_SOA() - treat = m.fs.treatment - treat.disposal_SW_mixer.display() - print(m.fs.treatment.costing.LCOW(), m.fs.treatment.EC.unit.conductivity()) + from watertap_contrib.reflo.kurby import * + + m, m_pre, m_mvc, m_dwi = build_permian_SOA(Qin=2.05, tds=130) + + # results_dict = build_results_dict(m) + # results_dict["flow_mgd"] = list() + # results_dict["tds"] = list() + + recovery = [0.4, 0.45] + qs = [5] + salt = [90, 130] + + recovery = np.arange(0.4, 0.61, 0.01) + qs = np.arange(1, 10 + 0.5, 0.5) + salt = np.arange(75, 180, 5) + + recovery = [0.4] + qs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + salt = [75, 90, 105, 120, 130, 135, 150, 165] + + results_df = pd.DataFrame() + results_df_pre = pd.DataFrame() + results_df_mvc = pd.DataFrame() + results_df_dwi = pd.DataFrame() + + for r in recovery: + + tmp_results_dict = build_results_dict(m) + tmp_results_dict["flow_mgd"] = list() + tmp_results_dict["tds"] = list() + tmp_results_dict["rerun"] = list() + + tmp_results_dict_pre = build_results_dict(m_pre) + tmp_results_dict_pre["flow_mgd"] = list() + tmp_results_dict_pre["tds"] = list() + tmp_results_dict_pre["rerun"] = list() + + tmp_results_dict_mvc = build_results_dict(m_mvc) + tmp_results_dict_mvc["flow_mgd"] = list() + tmp_results_dict_mvc["tds"] = list() + tmp_results_dict_mvc["rerun"] = list() + + tmp_results_dict_dwi = build_results_dict(m_dwi) + tmp_results_dict_dwi["flow_mgd"] = list() + tmp_results_dict_dwi["tds"] = list() + tmp_results_dict_dwi["rerun"] = list() + for q in qs: + for s in salt: + rerun = 0 + tds = s + try: + m, m_pre, m_mvc, m_dwi = build_permian_SOA( + Qin=q, tds=tds, recovery=r + ) + except: + rerun = 1 + # tds = s * 1.01 + m, m_pre, m_mvc, m_dwi = build_permian_SOA( + Qin=q + 0.025, tds=s * 1.01, recovery=r + ) + tmp_results_dict = results_dict_append(m, tmp_results_dict) + tmp_results_dict["flow_mgd"].append(q) + tmp_results_dict["tds"].append(tds) + tmp_results_dict["rerun"].append(rerun) + + tmp_results_dict_pre = results_dict_append(m_pre, tmp_results_dict_pre) + tmp_results_dict_pre["flow_mgd"].append(q) + tmp_results_dict_pre["tds"].append(tds) + tmp_results_dict_pre["rerun"].append(rerun) + + tmp_results_dict_mvc = results_dict_append(m_mvc, tmp_results_dict_mvc) + tmp_results_dict_mvc["flow_mgd"].append(q) + tmp_results_dict_mvc["tds"].append(tds) + tmp_results_dict_mvc["rerun"].append(rerun) + + tmp_results_dict_dwi = results_dict_append(m_dwi, tmp_results_dict_dwi) + tmp_results_dict_dwi["flow_mgd"].append(q) + tmp_results_dict_dwi["tds"].append(tds) + tmp_results_dict_dwi["rerun"].append(rerun) + + results_df = pd.concat([results_df, pd.DataFrame.from_dict(tmp_results_dict)]) + results_df_pre = pd.concat( + [results_df_pre, pd.DataFrame.from_dict(tmp_results_dict_pre)] + ) + results_df_mvc = pd.concat( + [results_df_mvc, pd.DataFrame.from_dict(tmp_results_dict_mvc)] + ) + results_df_dwi = pd.concat( + [results_df_dwi, pd.DataFrame.from_dict(tmp_results_dict_dwi)] + ) + # results_dict = results_dict_append(m, results_dict, tmp_results_dict=tmp_results_dict) + + # pprint.pprint(results_dict) + timestr = time.strftime("%Y%m%d-%H%M%S") + results_df.to_csv(f"permian_soa_results_{timestr}.csv", index=False) + results_df_pre.to_csv(f"permian_soa_results_pre_{timestr}.csv", index=False) + results_df_mvc.to_csv(f"permian_soa_results_mvc_{timestr}.csv", index=False) + results_df_dwi.to_csv(f"permian_soa_results_dwi_{timestr}.csv", index=False) + # # m = build_permian_SOA(Qin=5, tds=105) From 2891741f08f58502d7ec191668c4296d72891ed8 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 3 Jan 2025 09:48:36 -0700 Subject: [PATCH 099/116] Permian Subtheme 1 MD flowsheet added and black --- .../case_studies/permian/components/MD.py | 547 ++++++++++++++++ .../case_studies/permian/components/MVC.py | 2 +- .../permian/components/oxidation.py | 4 +- .../permian/components/translator_zo_to_sw.py | 5 +- .../case_studies/permian/permian_SOA-old.py | 5 +- .../case_studies/permian/permian_ST1_MD.py | 617 ++++++++++++++++++ 6 files changed, 1171 insertions(+), 9 deletions(-) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/permian/components/MD.py create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MD.py new file mode 100644 index 00000000..c162d4ca --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MD.py @@ -0,0 +1,547 @@ +import os +import math +import numpy as np +from pyomo.environ import ( + ConcreteModel, + value, + Param, + Var, + Constraint, + Set, + Expression, + TransformationFactory, + Objective, + NonNegativeReals, + Block, + RangeSet, + check_optimal_termination, + units as pyunits, + SolverFactory, +) +from pyomo.network import Arc, SequentialDecomposition +from pyomo.util.check_units import assert_units_consistent +from idaes.core import FlowsheetBlock, UnitModelCostingBlock, MaterialFlowBasis +from idaes.core.solvers import get_solver +from idaes.core.util.initialization import propagate_state as _prop_state +import idaes.core.util.scaling as iscale +from idaes.core.util.scaling import ( + constraint_scaling_transform, + calculate_scaling_factors, + set_scaling_factor, +) +import idaes.logger as idaeslogger +from idaes.core.util.exceptions import InitializationError +from idaes.models.unit_models import Product, Feed, StateJunction, Separator +from idaes.core.util.model_statistics import * + +from watertap.core.util.model_diagnostics.infeasible import * +from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock + +from watertap_contrib.reflo.costing import ( + TreatmentCosting, + EnergyCosting, + REFLOCosting, +) +from watertap.costing.zero_order_costing import ZeroOrderCosting + +# Flowsheet function imports +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_flowsheet import ( + build_vagmd_flowsheet, + fix_dof_and_initialize, +) + +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_design_model import ( + get_n_time_points, +) + +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_multiperiod_unit_model import ( + VAGMDbatchSurrogate, +) + +from watertap_contrib.reflo.analysis.multiperiod.vagmd_batch.VAGMD_batch_multiperiod_flowsheet import ( + get_vagmd_batch_variable_pairs, + unfix_dof, + build_VAGMD_batch_multiperiod_fs, +) + +from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel + +import matplotlib.pyplot as plt + +__all__ = [ + "build_md", + "set_md_model_options", + "init_md", + "report_MD", + "report_md_costing", +] + + +def propagate_state(arc): + _prop_state(arc) + + +def build_system(Qin=5, Cin=130, water_recovery=0.4): + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + m.fs.costing = TreatmentCosting() + + m.inlet_flow_rate = pyunits.convert( + Qin * pyunits.Mgallons / pyunits.day, to_units=pyunits.m**3 / pyunits.s + ) + m.inlet_salinity = pyunits.convert( + Cin * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.m**3 + ) + m.water_recovery = water_recovery + + # Property package + m.fs.properties = SeawaterParameterBlock() + + # Create feed, product and concentrate state blocks + m.fs.feed = Feed(property_package=m.fs.properties) + m.fs.product = Product(property_package=m.fs.properties) + m.fs.disposal = Product(property_package=m.fs.properties) + + # Create MD unit model at flowsheet level + m.fs.md = FlowsheetBlock(dynamic=False) + build_md(m, m.fs.md, prop_package=m.fs.properties) + add_connections(m) + + return m + + +def add_connections(m): + + m.fs.feed_to_md = Arc(source=m.fs.feed.outlet, destination=m.fs.md.feed.inlet) + + m.fs.md_to_product = Arc( + source=m.fs.md.permeate.outlet, destination=m.fs.product.inlet + ) + + m.fs.md_to_disposal = Arc( + source=m.fs.md.concentrate.outlet, destination=m.fs.disposal.inlet + ) + + TransformationFactory("network.expand_arcs").apply_to(m) + + +def set_md_model_options(m, blk, n_time_points=None): + + m.system_capacity = m.water_recovery * pyunits.convert( + m.inlet_flow_rate, to_units=pyunits.m**3 / pyunits.day + ) + m.feed_salinity = pyunits.convert(m.inlet_salinity, to_units=pyunits.g / pyunits.L) + + model_options = { + "dt": None, + "system_capacity": value(m.system_capacity), # m3/day + "feed_flow_rate": 750, # L/h + "evap_inlet_temp": 80, + "cond_inlet_temp": 20, + "feed_temp": 25, + "feed_salinity": value(m.feed_salinity), # g/L + "initial_batch_volume": 50, # L + "module_type": "AS7C1.5L", # "AS26C7.2L" + "cooling_system_type": "closed", + "cooling_inlet_temp": 25, + "recovery_ratio": m.water_recovery, + } + + if n_time_points == None: + # Calculate the number of periods to reach target recovery rate by solving the system first + n_time_points = get_n_time_points( + dt=model_options["dt"], + feed_flow_rate=model_options["feed_flow_rate"], + evap_inlet_temp=model_options["evap_inlet_temp"], + cond_inlet_temp=model_options["cond_inlet_temp"], + feed_temp=model_options["feed_temp"], + feed_salinity=model_options["feed_salinity"], + recovery_ratio=model_options["recovery_ratio"], + initial_batch_volume=model_options["initial_batch_volume"], + module_type=model_options["module_type"], + cooling_system_type=model_options["cooling_system_type"], + cooling_inlet_temp=model_options["cooling_inlet_temp"], + ) + + blk.model_input = model_options + blk.n_time_points = n_time_points + + +def build_md(m, blk, prop_package=None) -> None: + + print(f'\n{"=======> BUILDING MEMBRANE DISTILLATION SYSTEM <=======":^60}\n') + if prop_package is None: + prop_package = m.fs.properties + + # Build a feed, permeate and brine state function for MD + blk.feed = StateJunction(property_package=prop_package) + blk.permeate = StateJunction(property_package=prop_package) + blk.concentrate = StateJunction(property_package=prop_package) + + set_md_model_options(m, blk, n_time_points=None) + + blk.unit = VAGMDbatchSurrogate(model_input=blk.model_input) + + +def init_md(m, blk, verbose=True, solver=None): + # blk = m.fs.md + blk.feed.initialize() + + # Build connection to permeate state junction + blk.permeate.properties[0]._flow_vol_phase + + @blk.Constraint( + doc="Assign the permeate flow rate to its respective state junction" + ) + def get_permeate_flow(b): + # num_modules = b.unit.mp.get_active_process_blocks()[-1].fs.vagmd.num_modules + + vagmd = b.unit.mp.get_active_process_blocks()[-1].fs.vagmd + num_modules = pyunits.convert( + vagmd.system_capacity + / sum( + b.unit.mp.get_active_process_blocks()[i].fs.vagmd.permeate_flux + for i in range(blk.n_time_points) + ) + * blk.n_time_points + / b.unit.mp.get_active_process_blocks()[0].fs.vagmd.module_area, + to_units=pyunits.dimensionless, + ) + + return b.permeate.properties[0].flow_vol_phase["Liq"] == pyunits.convert( + ( + num_modules + * b.unit.mp.get_active_process_blocks()[-1].fs.acc_distillate_volume + / ( + b.unit.mp.get_active_process_blocks()[-1].fs.dt + * (blk.n_time_points - 1) + ) + ), + to_units=pyunits.m**3 / pyunits.s, + ) + + blk.permeate.properties[0].flow_mass_phase_comp["Liq", "TDS"].fix(0) + blk.permeate.properties[0].pressure.fix(101325) + blk.permeate.properties[0].temperature.fix(298.15) + + # # Build connection to concentrate state junction + + blk.concentrate.properties[0]._flow_vol_phase + blk.concentrate.properties[0]._conc_mass_phase_comp + + @blk.Constraint( + doc="Assign the concentrate flow rate to its respective state junction" + ) + def get_concentrate_flow(b): + num_modules = b.unit.mp.get_active_process_blocks()[-1].fs.vagmd.num_modules + + return b.concentrate.properties[0].flow_vol_phase["Liq"] == pyunits.convert( + ( + b.unit.mp.get_active_process_blocks()[-1].fs.vagmd.system_capacity + * (1 - m.water_recovery) + / m.water_recovery + # num_modules + # * blk.model_input["initial_batch_volume"] + # * pyunits.L + # * (1 - b.unit.mp.get_active_process_blocks()[-1].fs.acc_recovery_ratio) + # / (b.unit.mp.get_active_process_blocks()[-1].fs.dt * (blk.n_time_points - 1)) + ), + to_units=pyunits.m**3 / pyunits.s, + ) + + @blk.Constraint( + doc="Assign the concentrate concentration to its respective state junction" + ) + def get_concentrate_conc(b): + return b.concentrate.properties[0].conc_mass_phase_comp[ + "Liq", "TDS" + ] == pyunits.convert( + b.unit.mp.get_active_process_blocks()[-1] + .fs.vagmd.feed_props[0] + .conc_mass_phase_comp["Liq", "TDS"], + to_units=pyunits.kg / pyunits.m**3, + ) + + blk.concentrate.properties[0].pressure.fix(101325) + blk.concentrate.properties[0].temperature.fix(298.15) + + # # set_md_initial_conditions(blk) + + +def init_system(m, verbose=True, solver=None): + if solver is None: + solver = get_solver() + + optarg = solver.options + + print( + "\n\n-------------------- INITIALIZING MEMBRANE DISTILLATION --------------------\n\n" + ) + print(f"System Degrees of Freedom: {degrees_of_freedom(m)}") + print("\n\n") + + m.fs.feed.initialize() + propagate_state(m.fs.feed_to_md) + + init_md(m, m.fs.md, verbose=True, solver=None) + + propagate_state(m.fs.md_to_product) + m.fs.product.initialize() + + propagate_state(m.fs.md_to_disposal) + m.fs.disposal.initialize() + + +def set_system_op_conditions(m): + + feed_flow_rate = m.fs.md.model_input["feed_flow_rate"] + feed_salinity = m.fs.md.model_input["feed_salinity"] + feed_temp = m.fs.md.model_input["feed_temp"] + + m.fs.feed.properties.calculate_state( + var_args={ + ("flow_vol_phase", "Liq"): pyunits.convert( + feed_flow_rate * pyunits.L / pyunits.h, + to_units=pyunits.m**3 / pyunits.s, + ), + ("conc_mass_phase_comp", ("Liq", "TDS")): feed_salinity, + ("temperature", None): feed_temp + 273.15, + ("pressure", None): 101325, + }, + hold_state=True, + ) + + +def calc_costing(m, blk): + m.fs.costing.capital_recovery_factor.fix(0.08764) + m.fs.costing.wacc.unfix() + + m.fs.costing.cost_process() + m.fs.costing.initialize() + + # Touching variables to solve for volumetric flow rate + m.fs.product.properties[0].flow_vol_phase + + prod_flow = pyunits.convert( + m.fs.product.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.day, + ) + + m.fs.costing.add_annual_water_production(prod_flow) + m.fs.costing.add_LCOW(prod_flow) + + +def solve(m, solver=None, tee=True, raise_on_failure=True): + # ---solving--- + if solver is None: + solver = get_solver() + + print("\n--------- SOLVING ---------\n") + + results = solver.solve(m, tee=tee) + + if check_optimal_termination(results): + print("\n--------- OPTIMAL SOLVE!!! ---------\n") + return results + msg = ( + "The current configuration is infeasible. Please adjust the decision variables." + ) + if raise_on_failure: + print_infeasible_bounds(m) + print_close_to_bounds(m) + + raise RuntimeError(msg) + else: + print(msg) + return results + + +def report_MD(m, blk): + + # blk = m.fs.md + active_blks = blk.unit.mp.get_active_process_blocks() + + print(f"\n\n-------------------- MD Operations Report --------------------\n") + print("\n") + + print( + f'{"System Capacity":<30s}{value(active_blks[0].fs.vagmd.system_capacity):<10,.2f}{pyunits.get_units(active_blks[0].fs.vagmd.system_capacity)}' + ) + + # print( + # f'{"Feed stream salinity":<30s}{value(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(m.fs.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + # ) + + # print( + # f'{"MD Period 1 Feed salinity":<30s}{value(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(blk.feed.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + # ) + + print( + f'{"Number of modules:":<30s}{value(active_blks[-1].fs.vagmd.num_modules):<10.2f}' + ) + + print(f'{"Membrane type":<30s}{active_blks[-1].fs.vagmd.config.module_type}') + + print( + f'{"Accumulated recovery":<30s}{value(active_blks[-1].fs.acc_recovery_ratio):<10.2f}{pyunits.get_units(active_blks[-1].fs.acc_recovery_ratio)}' + ) + + perm_flow = pyunits.convert( + blk.permeate.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.day, + ) + + print( + f'{"Permeate flow rate":<30s}{value(perm_flow):<10,.2f}{pyunits.get_units(perm_flow)}' + ) + + conc_flow = pyunits.convert( + blk.concentrate.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.m**3 / pyunits.day, + ) + + print( + f'{"Concentrate flow rate":<30s}{value(conc_flow):<10,.2f}{pyunits.get_units(conc_flow)}' + ) + + print( + f'{"Concentrate concentration":<30s}{value(blk.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"]):<10.2f}{pyunits.get_units(blk.concentrate.properties[0].conc_mass_phase_comp["Liq","TDS"])}' + ) + + # prod_flow = pyunits.convert( + # m.fs.product.properties[0].flow_vol_phase["Liq"], + # to_units=pyunits.m**3 / pyunits.day, + # ) + + # print( + # f'{"Product flow rate":<30s}{value(prod_flow):<10,.2f}{pyunits.get_units(prod_flow)}' + # ) + + # disp_flow = pyunits.convert( + # m.fs.disposal.properties[0].flow_vol_phase["Liq"], + # to_units=pyunits.m**3 / pyunits.day, + # ) + + # print( + # f'{"Disposal flow rate":<30s}{value(disp_flow):<10,.2f}{pyunits.get_units(disp_flow)}' + # ) + + print( + f'{"STEC":<30s}{value(active_blks[-1].fs.specific_energy_consumption_thermal):<10.2f}{pyunits.get_units(active_blks[-1].fs.specific_energy_consumption_thermal)}' + ) + + print( + f'{"SEC":<30s}{value(active_blks[-1].fs.specific_energy_consumption_electric):<10.2f}{pyunits.get_units(active_blks[-1].fs.specific_energy_consumption_electric)}' + ) + + print( + f'{"Overall thermal requirement":<30s}{value(blk.unit.overall_thermal_power_requirement):<10.2f}{pyunits.get_units(blk.unit.overall_thermal_power_requirement)}' + ) + + print( + f'{"Overall elec requirement":<30s}{value(blk.unit.overall_elec_power_requirement):<10.2f}{pyunits.get_units(blk.unit.overall_elec_power_requirement)}' + ) + + +def report_md_costing(m, blk): + + active_blks = blk.md.unit.mp.get_active_process_blocks() + + print(f"\n\n-------------------- MD Costing Report --------------------\n") + print("\n") + + print( + f'{"Capital Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.capital_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.capital_cost)}' + ) + + print( + f'{"Fixed Operating Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.fixed_operating_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.fixed_operating_cost)}' + ) + + # print( + # f'{"Variable Operating Cost":<30s}{value(blk.costing.variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.variable_operating_cost)}' + # ) + + # print( + # f'{"Aggregated Variable Operating Cost":<30s}{value(blk.costing.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.aggregate_variable_operating_cost)}' + # ) + + # print( + # f'{"Total Operating Cost":<30s}{value(blk.costing.total_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_operating_cost)}' + # ) + + print( + f'{"Membrane Cost":<30s}{value(active_blks[-1].fs.vagmd.costing.module_cost):<20,.2f}{pyunits.get_units(active_blks[-1].fs.vagmd.costing.module_cost)}' + ) + + # print( + # f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + # ) + + # print( + # f'{"Aggregated Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' + # ) + + # print( + # f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' + # ) + + # print( + # f'{"Aggregated Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' + # ) + + +if __name__ == "__main__": + m = build_system() + set_system_op_conditions(m) + init_system(m) + + results = solve(m, tee=False) + + m.fs.disposal.properties[0].flow_vol_phase + + m.fs.md.unit.add_costing_module(m.fs.costing) + + calc_costing(m, m.fs) + + print("\nSystem Degrees of Freedom:", degrees_of_freedom(m), "\n") + + assert degrees_of_freedom(m) == 0 + + results = solve(m) + print("\n--------- Cost solve Completed ---------\n") + + print( + "Inlet flow rate in m3/day:", + value( + pyunits.convert( + m.fs.feed.properties[0].flow_vol_phase["Liq"], + pyunits.m**3 / pyunits.day, + ) + ), + ) + report_MD(m, m.fs.md) + report_md_costing(m, m.fs) + + print("\n") + print( + f'Sys Feed Flow Rate: {value(pyunits.convert(m.fs.feed.properties[0].flow_vol_phase["Liq"], pyunits.m ** 3 / pyunits.day)):<10.2f} m3/day' + ) + print( + f'MD Feed Flow Rate: {value(pyunits.convert(m.fs.md.feed.properties[0].flow_vol_phase["Liq"], pyunits.m ** 3 / pyunits.day)):<10.2f} m3/day' + ) + print( + f'Sys Perm Flow Rate: {value(pyunits.convert(m.fs.product.properties[0].flow_vol_phase["Liq"], pyunits.m ** 3 / pyunits.day)):<10.2f} m3/day' + ) + print( + f'MD Perm Flow Rate: {value(pyunits.convert(m.fs.md.permeate.properties[0].flow_vol_phase["Liq"], pyunits.m ** 3 / pyunits.day)):<10.2f} m3/day' + ) + print( + f'Sys Conc Flow Rate: {value(pyunits.convert(m.fs.disposal.properties[0].flow_vol_phase["Liq"], pyunits.m ** 3 / pyunits.day)):<10.2f} m3/day' + ) + print( + f'MD Conc Flow Rate: {value(pyunits.convert(m.fs.md.concentrate.properties[0].flow_vol_phase["Liq"], pyunits.m ** 3 / pyunits.day)):<10.2f} m3/day' + ) + print( + f'Calculated Recovery: {value(m.fs.md.permeate.properties[0].flow_vol_phase["Liq"] / (m.fs.md.permeate.properties[0].flow_vol_phase["Liq"] + m.fs.md.concentrate.properties[0].flow_vol_phase["Liq"])):<10.2f}' + ) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py index 4e5d4357..c8f7f82a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py @@ -617,7 +617,7 @@ def init_mvc( blk.separator.mixed_state[0].mass_frac_phase_comp["Liq", "TDS"] blk.separator.split_fraction[0, "hx_distillate_cold"].fix(blk.recovery_mass.value) blk.separator.mixed_state.initialize(optarg=optarg, solver="ipopt-watertap") - + # Touch properties for initialization blk.separator.hx_brine_cold_state[0].mass_frac_phase_comp["Liq", "TDS"] blk.separator.hx_distillate_cold_state[0].mass_frac_phase_comp["Liq", "TDS"] diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/oxidation.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/oxidation.py index 7d7f4192..c03dcfde 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/oxidation.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/oxidation.py @@ -134,8 +134,8 @@ def set_system_operating_conditions(m, Qin=5, tds=130): def set_chem_addition_scaling(m, blk, calc_blk_scaling_factors=False): set_scaling_factor(blk.unit.chemical_dosage, 0.1) - set_scaling_factor(blk.unit.solution_density, 1e-2) - set_scaling_factor(blk.unit.chemical_flow_vol, 1e5) + set_scaling_factor(blk.unit.solution_density, 1e-3) + set_scaling_factor(blk.unit.chemical_flow_vol, 1e6) set_scaling_factor(blk.unit.electricity, 1e4) # Calculate scaling factors only for chem addition block if in full case study flowsheet diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py index db5906bc..8794cba1 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py @@ -61,7 +61,8 @@ def build(self): ) def eq_flow_mass_water(blk, t): return ( - blk.properties_out[t].flow_mass_phase_comp["Liq", "H2O"] * 1.0539167632118351 + blk.properties_out[t].flow_mass_phase_comp["Liq", "H2O"] + * 1.0539167632118351 == blk.properties_in[t].flow_mass_comp["H2O"] ) @@ -72,7 +73,7 @@ def eq_flow_mass_water(blk, t): def eq_flow_mass_tds(blk, t): return ( blk.properties_out[t].flow_mass_phase_comp["Liq", "TDS"] - == blk.properties_in[t].flow_mass_comp["tds"] + == blk.properties_in[t].flow_mass_comp["tds"] ) def initialize_build( diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA-old.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA-old.py index dc7dc3fb..9a67aeb7 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA-old.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA-old.py @@ -346,9 +346,6 @@ def init_SOA_system(m, mvc_inlet_temp=50, **kwargs): assert False - - - def run_permian_SOA(recovery=0.5, **kwargs): """ Run Permian state-of-the-art case study @@ -373,7 +370,7 @@ def run_permian_SOA(recovery=0.5, **kwargs): # assert False init_SOA_system(m) - + # check_jac(m) # mvc.evaporator.display() # assert False diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py new file mode 100644 index 00000000..f4342e53 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py @@ -0,0 +1,617 @@ +import pathlib +from pyomo.environ import ( + ConcreteModel, + value, + TransformationFactory, + Param, + Var, + Constraint, + Set, + Expression, + Objective, + NonNegativeReals, + Block, + RangeSet, + check_optimal_termination, + assert_optimal_termination, + units as pyunits, +) +from pyomo.network import Arc, SequentialDecomposition +from pyomo.util.calc_var_value import calculate_variable_from_constraint as cvc + +from idaes.core import FlowsheetBlock, UnitModelCostingBlock +import idaes.core.util.scaling as iscale +from idaes.core import MaterialFlowBasis +from idaes.core.util.scaling import ( + constraint_scaling_transform, + calculate_scaling_factors, + set_scaling_factor, +) +import idaes.logger as idaeslogger +from idaes.core.util.exceptions import InitializationError +from idaes.models.unit_models import ( + Product, + Feed, + StateJunction, + Separator, + Mixer, + MixingType, + MomentumMixingType, +) +from idaes.core.util.model_statistics import * +from idaes.core.util.initialization import propagate_state + +from watertap.core.solvers import get_solver +from watertap_contrib.reflo.core.wt_reflo_database import REFLODatabase +from watertap.core.zero_order_properties import WaterParameterBlock as ZO + + +from watertap.core.util.model_diagnostics.infeasible import * +from watertap.core.util.initialization import * +from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock +from watertap.property_models.water_prop_pack import ( + WaterParameterBlock as SteamParameterBlock, +) +from watertap_contrib.reflo.costing import TreatmentCosting, EnergyCosting +from watertap_contrib.reflo.analysis.case_studies.permian.components.MD import * +from watertap_contrib.reflo.analysis.case_studies.permian.components.cartridge_filtration import * +from watertap_contrib.reflo.analysis.case_studies.permian.components.deep_well_injection import * +from watertap_contrib.reflo.analysis.case_studies.permian.components.oxidation import * +from watertap_contrib.reflo.analysis.case_studies.permian.components.EC import * +from watertap_contrib.reflo.analysis.case_studies.permian.components.translator_sw_to_zo import * +from watertap_contrib.reflo.analysis.case_studies.permian.components.translator_zo_to_sw import * + +reflo_dir = pathlib.Path(__file__).resolve().parents[3] +case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" +rho = 1125 * pyunits.kg / pyunits.m**3 +rho_water = 997 * pyunits.kg / pyunits.m**3 + +solver = get_solver() + +__all__ = [ + "build_permian_st1_md", + "set_operating_conditions", + "add_treatment_costing_st1_md", + "set_permian_pretreatment_scaling_st1_md", + "init_system_st1_md", + "run_permian_st1_md", +] + +# TODO: +# Update membrane type and MD recovery + + +def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.2): + """ + Build Permian pretreatment flowsheet + """ + + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + m.db = REFLODatabase() + + m.fs.properties = ZO(solute_list=["tds"]) + + m.fs.properties_feed = SeawaterParameterBlock() + m.fs.properties_vapor = SteamParameterBlock() + + # Begin building Treatment Block + m.fs.treatment = treat = Block() + + treat.feed = Feed(property_package=m.fs.properties) + treat.product = Product(property_package=m.fs.properties_feed) + + m.inlet_flow_rate = pyunits.convert( + Q_md * pyunits.m**3 / pyunits.s, to_units=pyunits.m**3 / pyunits.s + ) + m.inlet_salinity = pyunits.convert( + Cin * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.m**3 + ) + + m.water_recovery = water_recovery + + # Add translator blocks + treat.zo_to_sw_feed = Translator_ZO_to_SW( + inlet_property_package=m.fs.properties, + outlet_property_package=m.fs.properties_feed, + ) + + treat.zo_to_sw_disposal = Translator_ZO_to_SW( + inlet_property_package=m.fs.properties, + outlet_property_package=m.fs.properties_feed, + ) + + treat.disposal_ZO_mixer = Mixer( + property_package=m.fs.properties, + num_inlets=2, + inlet_list=["ec_disposal", "cart_filt_disposal"], + energy_mixing_type=MixingType.none, + momentum_mixing_type=MomentumMixingType.none, + ) + + treat.disposal_SW_mixer = Mixer( + property_package=m.fs.properties_feed, + num_inlets=2, + inlet_list=["zo_mixer", "md_disposal"], + energy_mixing_type=MixingType.none, + momentum_mixing_type=MomentumMixingType.none, + ) + + treat.chem_addition = FlowsheetBlock(dynamic=False) + build_chem_addition(m, treat.chem_addition) + + treat.EC = FlowsheetBlock(dynamic=False) + build_ec(m, treat.EC) + + treat.cart_filt = FlowsheetBlock(dynamic=False) + build_cartridge_filtration(m, treat.cart_filt) + + treat.md = FlowsheetBlock(dynamic=False) + build_md(m, treat.md, m.fs.properties_feed) + + treat.DWI = FlowsheetBlock(dynamic=False) + build_dwi(m, treat.DWI, m.fs.properties_feed) + + # BUILD PRODUCT STREAM + # feed > chem_addition > EC > cart_filt > ZO_to_SW_translator > desal unit > product + treat.feed_to_chem_addition = Arc( + source=treat.feed.outlet, destination=treat.chem_addition.feed.inlet + ) + + treat.chem_addition_to_ec = Arc( + source=treat.chem_addition.product.outlet, destination=treat.EC.feed.inlet + ) + + treat.ec_to_cart_filt = Arc( + source=treat.EC.product.outlet, destination=treat.cart_filt.feed.inlet + ) + + # from ZO to SW - feed + treat.cart_filt_to_translator = Arc( + source=treat.cart_filt.product.outlet, destination=treat.zo_to_sw_feed.inlet + ) + + treat.cart_filt_translated_to_md = Arc( + source=treat.zo_to_sw_feed.outlet, destination=treat.md.feed.inlet + ) + + treat.md_to_product = Arc( + source=treat.md.permeate.outlet, destination=treat.product.inlet + ) + + # BUILD DISPOSAL STREAM + # EC > ZO_mixer > ZO_to_SW_translator > disposal_mixer > disposal_mixer > DWI + # cart_filt > ZO_mixer + # MD unit > disposal_mixer + + treat.ec_to_disposal_mix = Arc( + source=treat.EC.disposal.outlet, destination=treat.disposal_ZO_mixer.ec_disposal + ) + + treat.cart_filt_to_disposal_mix = Arc( + source=treat.cart_filt.disposal.outlet, + destination=treat.disposal_ZO_mixer.cart_filt_disposal, + ) + + treat.disposal_ZO_mix_to_translator = Arc( + source=treat.disposal_ZO_mixer.outlet, destination=treat.zo_to_sw_disposal.inlet + ) + + treat.disposal_ZO_mix_translated_to_disposal_SW_mixer = Arc( + source=treat.zo_to_sw_disposal.outlet, + destination=treat.disposal_SW_mixer.zo_mixer, + ) + + treat.md_disposal_to_translator = Arc( + source=treat.md.concentrate.outlet, + destination=treat.disposal_SW_mixer.md_disposal, + ) + + treat.disposal_SW_mixer_to_dwi = Arc( + source=treat.disposal_SW_mixer.outlet, destination=treat.DWI.feed.inlet + ) + + TransformationFactory("network.expand_arcs").apply_to(m) + + return m + + +def set_operating_conditions(m, Qin=5, tds=130, **kwargs): + + global flow_mass_water, flow_mass_tds, flow_in + + m.fs.properties.dens_mass_default = rho + + Qin = Qin * pyunits.Mgallons / pyunits.day + flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) + flow_mass_water = pyunits.convert(Qin * rho_water, to_units=pyunits.kg / pyunits.s) + flow_mass_tds = pyunits.convert( + Qin * tds * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.s + ) + + m.fs.treatment.feed.properties[0].flow_mass_comp["H2O"].fix(flow_mass_water) + m.fs.treatment.feed.properties[0].flow_mass_comp["tds"].fix(flow_mass_tds) + m.fs.treatment.feed.properties[0].conc_mass_comp[...] + + set_chem_addition_op_conditions(m, m.fs.treatment.chem_addition, **kwargs) + set_ec_operating_conditions(m, m.fs.treatment.EC, **kwargs) + set_cart_filt_op_conditions(m, m.fs.treatment.cart_filt) + + +def add_treatment_costing_st1_md(m): + + m.fs.treatment.costing = TreatmentCosting(case_study_definition=case_study_yaml) + add_chem_addition_costing( + m, m.fs.treatment.chem_addition, flowsheet_costing_block=m.fs.treatment.costing + ) + add_ec_costing(m, m.fs.treatment.EC, flowsheet_costing_block=m.fs.treatment.costing) + add_cartridge_filtration_costing( + m, m.fs.treatment.cart_filt, flowsheet_costing_block=m.fs.treatment.costing + ) + + add_dwi_costing( + m, m.fs.treatment.DWI, flowsheet_costing_block=m.fs.treatment.costing + ) + + m.fs.treatment.md.unit.add_costing_module(m.fs.treatment.costing) + + m.fs.treatment.costing.cost_process() + + +def set_permian_pretreatment_scaling_st1_md( + m, calclate_m_scaling_factors=False, **kwargs +): + + m.fs.properties.set_default_scaling( + "flow_mass_comp", + # 1 / value(flow_mass_water), + 1e-3, + index=("H2O"), + ) + + m.fs.properties.set_default_scaling( + "flow_mass_comp", + # 1 / value(flow_mass_tds), + 0.1, + index=("tds"), + ) + + m.fs.properties_feed.set_default_scaling( + "flow_mass_phase_comp", + 0.1, + index=("Liq", "TDS"), + ) + + m.fs.properties_feed.set_default_scaling( + "flow_mass_phase_comp", + 1e-3, + index=("Liq", "H2O"), + ) + + set_chem_addition_scaling( + m, m.fs.treatment.chem_addition, calc_blk_scaling_factors=True + ) + + set_cart_filt_scaling(m, m.fs.treatment.cart_filt, calc_blk_scaling_factors=True) + + set_ec_scaling(m, m.fs.treatment.EC, calc_blk_scaling_factors=True) + + set_scaling_factor( + m.fs.treatment.product.properties[0].flow_mass_phase_comp["Liq", "H2O"], 1e-2 + ) + set_scaling_factor( + m.fs.treatment.product.properties[0].flow_mass_phase_comp["Liq", "TDS"], 1e5 + ) + + # ZO to SW feed translator + set_scaling_factor( + m.fs.treatment.zo_to_sw_feed.properties_out[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1e-2, + ) + set_scaling_factor( + m.fs.treatment.zo_to_sw_feed.properties_out[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 0.1, + ) + + # ZO to SW disposal translator + set_scaling_factor( + m.fs.treatment.zo_to_sw_disposal.properties_in[0].flow_mass_comp["H2O"], + 1, + ) + set_scaling_factor( + m.fs.treatment.zo_to_sw_disposal.properties_in[0].flow_mass_comp["tds"], + 1, + ) + set_scaling_factor( + m.fs.treatment.zo_to_sw_disposal.properties_out[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1, + ) + set_scaling_factor( + m.fs.treatment.zo_to_sw_disposal.properties_out[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 1, + ) + + # ZO DISPOSAL MIXER + # CF inlet + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.cart_filt_disposal_state[0].flow_mass_comp[ + "H2O" + ], + 100, + ) + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.cart_filt_disposal_state[0].flow_mass_comp[ + "tds" + ], + 1e4, + ) + + # EC inlet + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.ec_disposal_state[0].flow_mass_comp["H2O"], + 1, + ) + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.ec_disposal_state[0].flow_mass_comp["tds"], + 1, + ) + + # mixed state + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.mixed_state[0].flow_mass_comp["H2O"], + 1, + ) + set_scaling_factor( + m.fs.treatment.disposal_ZO_mixer.mixed_state[0].flow_mass_comp["tds"], + 1, + ) + # SW DISPOSAL MIXER + # ZO mixer inlet + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.zo_mixer_state[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 100, + ) + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.zo_mixer_state[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 10, + ) + + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.md_disposal_state[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1e-3, + ) + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.md_disposal_state[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 1e-2, + ) + + # mixed state outlet + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.mixed_state[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1e-1, + ) + set_scaling_factor( + m.fs.treatment.disposal_SW_mixer.mixed_state[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 1e-2, + ) + + if calclate_m_scaling_factors: + print("calclate_m_scaling_factors\n\n\n") + calculate_scaling_factors(m) + + +def init_system_st1_md(m, **kwargs): + + treat = m.fs.treatment + + treat.feed.initialize() + propagate_state(treat.feed_to_chem_addition) + + init_chem_addition(m, treat.chem_addition) + + propagate_state(treat.chem_addition_to_ec) + + init_ec(m, treat.EC) + propagate_state(treat.ec_to_cart_filt) + propagate_state(treat.ec_to_disposal_mix) + + init_cart_filt(m, treat.cart_filt) + propagate_state(treat.cart_filt_to_translator) + propagate_state(treat.cart_filt_to_disposal_mix) + + treat.disposal_ZO_mixer.initialize() + propagate_state(treat.disposal_ZO_mix_to_translator) + + # NOTE: If the selected temperature is similar to md_disposal temperature, the mixer has issues in the solve + treat.zo_to_sw_disposal.outlet.temperature[0].fix(300) + treat.zo_to_sw_disposal.outlet.pressure[0].fix(101325) + treat.zo_to_sw_disposal.initialize() + + treat.zo_to_sw_feed.properties_out[0].temperature.fix(300) + treat.zo_to_sw_feed.properties_out[0].pressure.fix(101325) + treat.zo_to_sw_feed.initialize() + + propagate_state(treat.cart_filt_translated_to_md) + + init_md(m, treat.md) + propagate_state(treat.md_to_product) + propagate_state(treat.md_disposal_to_translator) + + propagate_state(treat.disposal_ZO_mix_translated_to_disposal_SW_mixer) + # NOTE: variable that affects DOF in unclear way + + treat.disposal_SW_mixer.initialize() + treat.disposal_SW_mixer.mixed_state[0].temperature.fix() + treat.disposal_SW_mixer.mixed_state[0].pressure.fix() + + propagate_state(treat.disposal_SW_mixer_to_dwi) + # NOTE: variables that affect DOF in unclear way + # treat.DWI.feed.properties[0].temperature.fix() + # treat.DWI.feed.properties[0].pressure.fix() + treat.DWI.unit.properties[0].flow_vol_phase + treat.DWI.unit.properties[0].conc_mass_phase_comp + init_dwi(m, treat.DWI) + + treat.product.properties[0].flow_vol_phase + treat.product.properties[0].conc_mass_phase_comp + treat.product.initialize() + + +def run_permian_st1_md(): + """ + Run Permian pretreatment flowsheet + """ + + m = build_permian_st1_md() + treat = m.fs.treatment + + set_operating_conditions(m) + set_permian_pretreatment_scaling_st1_md( + m, calclate_m_scaling_factors=True + ) # Doesn't solve without this even before costing + + treat.feed.properties[0].flow_vol + + init_system_st1_md(m) + print(f"DOF = {degrees_of_freedom(m)}") + + results = solver.solve(m) + print_infeasible_constraints(m) + assert_optimal_termination(results) + + print("\n--------- Before costing solve Completed ---------\n") + report_MD(m, treat.md) + + # Add costing + add_treatment_costing_st1_md(m) + + iscale.calculate_scaling_factors(m.fs.treatment.md.unit.mp) + if ( + iscale.get_scaling_factor( + m.fs.treatment.md.unit.overall_thermal_power_requirement + ) + is None + ): + iscale.set_scaling_factor( + m.fs.treatment.md.unit.overall_thermal_power_requirement, 1e-6 + ) + + if ( + iscale.get_scaling_factor(m.fs.treatment.md.unit.overall_elec_power_requirement) + is None + ): + iscale.set_scaling_factor( + m.fs.treatment.md.unit.overall_elec_power_requirement, 1e-4 + ) + + if ( + iscale.get_scaling_factor( + m.fs.treatment.md.unit.mp.get_active_process_blocks()[ + -1 + ].fs.vagmd.system_capacity + ) + is None + ): + iscale.set_scaling_factor( + m.fs.treatment.md.unit.mp.get_active_process_blocks()[ + -1 + ].fs.vagmd.system_capacity, + 1e6, + ) + + treat.costing.initialize() + + flow_vol = treat.product.properties[0].flow_vol_phase["Liq"] + treat.costing.electricity_cost.fix(0.07) + treat.costing.add_LCOW(flow_vol) + treat.costing.add_specific_energy_consumption(flow_vol, name="SEC") + + try: + results = solver.solve(m) + print_infeasible_constraints(m) + except ValueError: + print_infeasible_constraints(m) + assert_optimal_termination(results) + print("\n--------- After costing solve Completed ---------\n") + + print(f"LCOW = {m.fs.treatment.costing.LCOW()}") + + return m + + +if __name__ == "__main__": + + m = run_permian_st1_md() + treat = m.fs.treatment + report_MD(m, treat.md) + print(f"DOF = {degrees_of_freedom(m)}") + + system_recovery = ( + treat.feed.properties[0].flow_vol() / treat.product.properties[0].flow_vol() + ) + + print(f"Pretreatment Recovery: {system_recovery:.2f}") + + print( + f"Inlet flow_vol: {treat.feed.properties[0].flow_vol():.5f} {pyunits.get_units(treat.feed.properties[0].flow_vol)}" + ) + print( + f'Inlet TDS conc: {treat.feed.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.feed.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'EC feed TDS conc: {treat.EC.feed.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.EC.feed.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'EC product TDS conc: {treat.EC.product.properties[0].conc_mass_comp["tds"]():.2f} { pyunits.get_units(treat.EC.product.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'EC disposal TDS conc: {treat.EC.disposal.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.EC.disposal.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'CF feed TDS conc: {treat.cart_filt.product.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'Product TDS conc: {treat.product.properties[0].conc_mass_phase_comp["Liq", "TDS"]():.2f} {pyunits.get_units(treat.product.properties[0].conc_mass_phase_comp["Liq", "TDS"]())}' + ) + + print( + f'Product flow_vol: {treat.product.properties[0].flow_vol_phase["Liq"]():.2f} {pyunits.get_units(treat.product.properties[0].flow_vol_phase["Liq"])}' + ) + + print( + f'DWI flow_vol: {treat.DWI.unit.properties[0].flow_vol_phase["Liq"]():.6f} {pyunits.get_units(treat.DWI.unit.properties[0].flow_vol_phase["Liq"])}' + ) + + print( + f'DWI TDS conc: {treat.DWI.unit.properties[0].conc_mass_phase_comp["Liq", "TDS"]():.2f} {pyunits.get_units(treat.DWI.unit.properties[0].conc_mass_phase_comp["Liq", "TDS"])}' + ) + print(f"DWI pressure: {treat.DWI.feed.properties[0].pressure()} Pa") + + print( + f"Translator pressure: {treat.disposal_SW_mixer.zo_mixer_state[0].pressure()} Pa" + ) From af77e2bf4dcefa045977e37737f0d69c0e9adba1 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 3 Jan 2025 12:28:07 -0700 Subject: [PATCH 100/116] matching density in ZO and SW packages --- .../permian/components/translator_zo_to_sw.py | 6 +- .../case_studies/permian/permian_SOA.py | 18 +++--- .../case_studies/permian/permian_ST1_MD.py | 49 +++++++++++----- .../permian/permian_pretreatment.py | 56 +++++++++++++------ 4 files changed, 86 insertions(+), 43 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py index 8794cba1..2e6486ff 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py @@ -62,7 +62,7 @@ def build(self): def eq_flow_mass_water(blk, t): return ( blk.properties_out[t].flow_mass_phase_comp["Liq", "H2O"] - * 1.0539167632118351 + # * 1.0539167632118351 == blk.properties_in[t].flow_mass_comp["H2O"] ) @@ -72,8 +72,8 @@ def eq_flow_mass_water(blk, t): ) def eq_flow_mass_tds(blk, t): return ( - blk.properties_out[t].flow_mass_phase_comp["Liq", "TDS"] - == blk.properties_in[t].flow_mass_comp["tds"] + blk.properties_out[t].conc_mass_phase_comp["Liq", "TDS"] + == blk.properties_in[t].conc_mass_comp["tds"] ) def initialize_build( diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py index 4bc6b9e8..c91a5670 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py @@ -55,7 +55,7 @@ ) # from watertap.costing.zero_order_costing import ZeroOrderCosting -from watertap_contrib.reflo.kurby import * +# from watertap_contrib.reflo.kurby import * from watertap.core.util.model_diagnostics.infeasible import * from watertap.core.util.initialization import * from watertap.property_models.seawater_prop_pack import SeawaterParameterBlock @@ -78,14 +78,14 @@ solver = get_solver() -__all__ = [ - "build_permian_SOA", - "set_operating_conditions_SOA", - "add_treatment_costing", - "set_SOA_scaling", - "init_SOA_system", - "run_permian_SOA", -] +# __all__ = [ +# "build_permian_SOA", +# "set_operating_conditions_SOA", +# "add_treatment_costing", +# "set_SOA_scaling", +# "init_SOA_system", +# "run_permian_SOA", +# ] def build_permian_SOA( diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py index f4342e53..9ea60f3f 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py @@ -53,24 +53,19 @@ WaterParameterBlock as SteamParameterBlock, ) from watertap_contrib.reflo.costing import TreatmentCosting, EnergyCosting +from watertap_contrib.reflo.analysis.case_studies.permian.components import * from watertap_contrib.reflo.analysis.case_studies.permian.components.MD import * -from watertap_contrib.reflo.analysis.case_studies.permian.components.cartridge_filtration import * -from watertap_contrib.reflo.analysis.case_studies.permian.components.deep_well_injection import * -from watertap_contrib.reflo.analysis.case_studies.permian.components.oxidation import * -from watertap_contrib.reflo.analysis.case_studies.permian.components.EC import * -from watertap_contrib.reflo.analysis.case_studies.permian.components.translator_sw_to_zo import * -from watertap_contrib.reflo.analysis.case_studies.permian.components.translator_zo_to_sw import * reflo_dir = pathlib.Path(__file__).resolve().parents[3] case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" -rho = 1125 * pyunits.kg / pyunits.m**3 -rho_water = 997 * pyunits.kg / pyunits.m**3 +# rho = 1125 * pyunits.kg / pyunits.m**3 +# rho_water = 997 * pyunits.kg / pyunits.m**3 solver = get_solver() __all__ = [ "build_permian_st1_md", - "set_operating_conditions", + "set_operating_conditions_st1_md", "add_treatment_costing_st1_md", "set_permian_pretreatment_scaling_st1_md", "init_system_st1_md", @@ -81,7 +76,7 @@ # Update membrane type and MD recovery -def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.2): +def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.1): """ Build Permian pretreatment flowsheet """ @@ -216,11 +211,11 @@ def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.2): return m -def set_operating_conditions(m, Qin=5, tds=130, **kwargs): +def set_operating_conditions_st1_md(m, rho,rho_water,Qin=5, tds=130, **kwargs): global flow_mass_water, flow_mass_tds, flow_in - m.fs.properties.dens_mass_default = rho + m.fs.properties.dens_mass = rho Qin = Qin * pyunits.Mgallons / pyunits.day flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) @@ -476,6 +471,32 @@ def init_system_st1_md(m, **kwargs): treat.product.properties[0].conc_mass_phase_comp treat.product.initialize() +def get_density(m, Qin=5, tds=130, **kwargs): + + Qin = Qin * pyunits.Mgallons / pyunits.day + flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) + + treat = m.fs.treatment + treat.feed_sw = Feed(property_package=m.fs.properties_feed) + m.fs.treatment.feed_sw.properties.calculate_state( + var_args={ + ("flow_vol_phase", "Liq"): flow_in, + ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, + ("temperature", None): 300, + ("pressure", None): 101325, + }, + hold_state=True, + ) + + m.fs.treatment.feed_sw.initialize() + + rho = m.fs.treatment.feed_sw.properties[0].dens_mass_phase["Liq"] + rho_water = m.fs.treatment.feed_sw.properties[0].dens_mass_solvent + + print(m.fs.treatment.feed_sw.properties[0].dens_mass_phase.display()) + print( m.fs.treatment.feed_sw.properties[0].dens_mass_solvent.display()) + + return [rho,rho_water] def run_permian_st1_md(): """ @@ -485,7 +506,9 @@ def run_permian_st1_md(): m = build_permian_st1_md() treat = m.fs.treatment - set_operating_conditions(m) + rho,rho_water = get_density(m) + + set_operating_conditions_st1_md(m,rho,rho_water) set_permian_pretreatment_scaling_st1_md( m, calclate_m_scaling_factors=True ) # Doesn't solve without this even before costing diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 68342b50..73615885 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -57,8 +57,8 @@ reflo_dir = pathlib.Path(__file__).resolve().parents[3] case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" -rho = 1125 * pyunits.kg / pyunits.m**3 -rho_water = 995 * pyunits.kg / pyunits.m**3 +# rho = 1067.41 * pyunits.kg / pyunits.m**3 +# rho_water = 989.42 * pyunits.kg / pyunits.m**3 solver = get_solver() @@ -212,11 +212,11 @@ def build_permian_pretreatment(**kwargs): return m -def set_operating_conditions(m, Qin=5, tds=130, **kwargs): +def set_operating_conditions(m,rho,rho_water,Qin=5, tds=130, **kwargs): global flow_mass_water, flow_mass_tds, flow_in - m.fs.properties.dens_mass_default = rho + m.fs.properties.dens_mass = rho Qin = Qin * pyunits.Mgallons / pyunits.day flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) @@ -233,6 +233,32 @@ def set_operating_conditions(m, Qin=5, tds=130, **kwargs): set_ec_operating_conditions(m, m.fs.treatment.EC, **kwargs) set_cart_filt_op_conditions(m, m.fs.treatment.cart_filt) +def get_density(m, Qin=5, tds=130, **kwargs): + + Qin = Qin * pyunits.Mgallons / pyunits.day + flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) + + treat = m.fs.treatment + treat.feed_sw = Feed(property_package=m.fs.properties_feed) + m.fs.treatment.feed_sw.properties.calculate_state( + var_args={ + ("flow_vol_phase", "Liq"): flow_in, + ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, + ("temperature", None): 298.15, + ("pressure", None): 101325, + }, + hold_state=True, + ) + + m.fs.treatment.feed_sw.initialize() + + rho = m.fs.treatment.feed_sw.properties[0].dens_mass_phase["Liq"] + rho_water = m.fs.treatment.feed_sw.properties[0].dens_mass_solvent + + print(m.fs.treatment.feed_sw.properties[0].dens_mass_phase.display()) + print( m.fs.treatment.feed_sw.properties[0].dens_mass_solvent.display()) + + return [rho,rho_water] def add_treatment_costing(m): @@ -422,16 +448,17 @@ def init_system(m, **kwargs): treat.disposal_ZO_mixer.initialize() propagate_state(treat.disposal_ZO_mix_to_translator) - treat.zo_to_sw_disposal.outlet.temperature[0].fix(320) + treat.zo_to_sw_disposal.outlet.temperature[0].fix() treat.zo_to_sw_disposal.outlet.pressure[0].fix() treat.zo_to_sw_disposal.initialize() - treat.zo_to_sw_feed.properties_out[0].temperature.fix(320) + treat.zo_to_sw_feed.properties_out[0].temperature.fix() treat.zo_to_sw_feed.properties_out[0].pressure.fix() treat.zo_to_sw_feed.initialize() propagate_state(treat.cart_filt_translated_to_desal) - + treat.desal.properties[0].conc_mass_phase_comp + treat.desal.properties[0].flow_vol_phase treat.desal.initialize() propagate_state(treat.desal_to_product) @@ -467,7 +494,7 @@ def solve_permian_pretreatment(m): print_infeasible_constraints(m) -def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): +def build_and_run_permian_pretreatment(Qin=5, tds=200, **kwargs): """ Run Permian pretreatment flowsheet """ @@ -476,7 +503,9 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): m.fs.optimal_solve = Var(initialize=1) treat = m.fs.treatment - set_operating_conditions(m, Qin=Qin, tds=tds, **kwargs) + rho,rho_water = get_density(m, Qin=Qin, tds=tds, **kwargs) + + set_operating_conditions(m, rho, rho_water, Qin=Qin, tds=tds, **kwargs) set_permian_pretreatment_scaling(m, calclate_m_scaling_factors=True) treat.feed.properties[0].flow_vol @@ -568,12 +597,3 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): to_units=pyunits.Mgallons / pyunits.day, )() ) - # treat.product.properties[0].display() - - # treat.disposal_ZO_mixer.display() - - # treat.zo_to_sw_disposal.display() - - # treat.disposal_SW_mixer.display() - - # treat.DWI.unit.properties[0.0].display() From 7a175b3a6810bcf83a64361006f7fc87f5b33bab Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 12:34:35 -0700 Subject: [PATCH 101/116] fix pressure ratio in solve func --- .../reflo/analysis/case_studies/permian/components/MVC.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py index c8f7f82a..5d25052c 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py @@ -119,6 +119,9 @@ def build_and_run_mvc(recovery=0.5, Qin=4.9, tds=118, **kwargs): mvc.evaporator.area.fix() mvc.hx_distillate.area.fix() mvc.hx_brine.area.fix() + mvc.compressor.pressure_ratio.fix() + print(f"dof = {degrees_of_freedom(m)}") + assert degrees_of_freedom(m) == 0 m.fs.product.properties[0].flow_vol_phase m.fs.product.properties[0].conc_mass_phase_comp m.fs.product.initialize() From cc3897752bd250f96dce07bb293b37281e4815b7 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 12:34:49 -0700 Subject: [PATCH 102/116] update __all__ --- .../case_studies/permian/permian_SOA.py | 20 ++++++++----------- 1 file changed, 8 insertions(+), 12 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py index 4bc6b9e8..724f103b 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py @@ -79,16 +79,12 @@ solver = get_solver() __all__ = [ - "build_permian_SOA", - "set_operating_conditions_SOA", - "add_treatment_costing", - "set_SOA_scaling", - "init_SOA_system", - "run_permian_SOA", + "build_and_run_permian_SOA", + "solve_permian_SOA" ] -def build_permian_SOA( +def build_and_run_permian_SOA( pretreatment_recovery=0.98, recovery=0.5, Qin=5, tds=130, **kwargs ): m_pre = build_and_run_permian_pretreatment(Qin=Qin, tds=tds, **kwargs) @@ -254,7 +250,7 @@ def solve_permian_SOA(m): from watertap_contrib.reflo.kurby import * - m, m_pre, m_mvc, m_dwi = build_permian_SOA(Qin=2.05, tds=130) + m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA(Qin=2.05, tds=130) # results_dict = build_results_dict(m) # results_dict["flow_mgd"] = list() @@ -268,7 +264,7 @@ def solve_permian_SOA(m): qs = np.arange(1, 10 + 0.5, 0.5) salt = np.arange(75, 180, 5) - recovery = [0.4] + recovery = [0.4, 0.45, 0.5, 0.55, 0.6, 0.65] qs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] salt = [75, 90, 105, 120, 130, 135, 150, 165] @@ -303,13 +299,13 @@ def solve_permian_SOA(m): rerun = 0 tds = s try: - m, m_pre, m_mvc, m_dwi = build_permian_SOA( + m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( Qin=q, tds=tds, recovery=r ) except: rerun = 1 # tds = s * 1.01 - m, m_pre, m_mvc, m_dwi = build_permian_SOA( + m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( Qin=q + 0.025, tds=s * 1.01, recovery=r ) tmp_results_dict = results_dict_append(m, tmp_results_dict) @@ -350,4 +346,4 @@ def solve_permian_SOA(m): results_df_pre.to_csv(f"permian_soa_results_pre_{timestr}.csv", index=False) results_df_mvc.to_csv(f"permian_soa_results_mvc_{timestr}.csv", index=False) results_df_dwi.to_csv(f"permian_soa_results_dwi_{timestr}.csv", index=False) - # # m = build_permian_SOA(Qin=5, tds=105) + # # m = build_and_run_permian_SOA(Qin=5, tds=105) From d2b55e4b166b92942abdb4e1a3ab4a2447828349 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 14:09:03 -0700 Subject: [PATCH 103/116] change feed_to_mvc tds source --- .../reflo/analysis/case_studies/permian/permian_SOA.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py index cb1c62e4..23bbd114 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py @@ -96,7 +96,7 @@ def build_and_run_permian_SOA( )() flow_to_mvc = Qin * pretreatment_recovery tds_to_mvc = pyunits.convert( - m_pre.fs.treatment.product.properties[0].conc_mass_phase_comp["Liq", "TDS"], + m_pre.cart_filt.product.properties[0].conc_mass_comp["tds"], to_units=pyunits.gram / pyunits.liter, )() print(f"Flow to MVC: {flow_to_mvc} MGD") From 8ddf606630f9c62e16ad5d2414ea4367770be6b2 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Fri, 3 Jan 2025 14:09:47 -0700 Subject: [PATCH 104/116] rever TDS calc --- .../permian/permian_pretreatment.py | 56 ++++++------------- 1 file changed, 18 insertions(+), 38 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 73615885..68342b50 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -57,8 +57,8 @@ reflo_dir = pathlib.Path(__file__).resolve().parents[3] case_study_yaml = f"{reflo_dir}/data/technoeconomic/permian_case_study.yaml" -# rho = 1067.41 * pyunits.kg / pyunits.m**3 -# rho_water = 989.42 * pyunits.kg / pyunits.m**3 +rho = 1125 * pyunits.kg / pyunits.m**3 +rho_water = 995 * pyunits.kg / pyunits.m**3 solver = get_solver() @@ -212,11 +212,11 @@ def build_permian_pretreatment(**kwargs): return m -def set_operating_conditions(m,rho,rho_water,Qin=5, tds=130, **kwargs): +def set_operating_conditions(m, Qin=5, tds=130, **kwargs): global flow_mass_water, flow_mass_tds, flow_in - m.fs.properties.dens_mass = rho + m.fs.properties.dens_mass_default = rho Qin = Qin * pyunits.Mgallons / pyunits.day flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) @@ -233,32 +233,6 @@ def set_operating_conditions(m,rho,rho_water,Qin=5, tds=130, **kwargs): set_ec_operating_conditions(m, m.fs.treatment.EC, **kwargs) set_cart_filt_op_conditions(m, m.fs.treatment.cart_filt) -def get_density(m, Qin=5, tds=130, **kwargs): - - Qin = Qin * pyunits.Mgallons / pyunits.day - flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - - treat = m.fs.treatment - treat.feed_sw = Feed(property_package=m.fs.properties_feed) - m.fs.treatment.feed_sw.properties.calculate_state( - var_args={ - ("flow_vol_phase", "Liq"): flow_in, - ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, - ("temperature", None): 298.15, - ("pressure", None): 101325, - }, - hold_state=True, - ) - - m.fs.treatment.feed_sw.initialize() - - rho = m.fs.treatment.feed_sw.properties[0].dens_mass_phase["Liq"] - rho_water = m.fs.treatment.feed_sw.properties[0].dens_mass_solvent - - print(m.fs.treatment.feed_sw.properties[0].dens_mass_phase.display()) - print( m.fs.treatment.feed_sw.properties[0].dens_mass_solvent.display()) - - return [rho,rho_water] def add_treatment_costing(m): @@ -448,17 +422,16 @@ def init_system(m, **kwargs): treat.disposal_ZO_mixer.initialize() propagate_state(treat.disposal_ZO_mix_to_translator) - treat.zo_to_sw_disposal.outlet.temperature[0].fix() + treat.zo_to_sw_disposal.outlet.temperature[0].fix(320) treat.zo_to_sw_disposal.outlet.pressure[0].fix() treat.zo_to_sw_disposal.initialize() - treat.zo_to_sw_feed.properties_out[0].temperature.fix() + treat.zo_to_sw_feed.properties_out[0].temperature.fix(320) treat.zo_to_sw_feed.properties_out[0].pressure.fix() treat.zo_to_sw_feed.initialize() propagate_state(treat.cart_filt_translated_to_desal) - treat.desal.properties[0].conc_mass_phase_comp - treat.desal.properties[0].flow_vol_phase + treat.desal.initialize() propagate_state(treat.desal_to_product) @@ -494,7 +467,7 @@ def solve_permian_pretreatment(m): print_infeasible_constraints(m) -def build_and_run_permian_pretreatment(Qin=5, tds=200, **kwargs): +def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): """ Run Permian pretreatment flowsheet """ @@ -503,9 +476,7 @@ def build_and_run_permian_pretreatment(Qin=5, tds=200, **kwargs): m.fs.optimal_solve = Var(initialize=1) treat = m.fs.treatment - rho,rho_water = get_density(m, Qin=Qin, tds=tds, **kwargs) - - set_operating_conditions(m, rho, rho_water, Qin=Qin, tds=tds, **kwargs) + set_operating_conditions(m, Qin=Qin, tds=tds, **kwargs) set_permian_pretreatment_scaling(m, calclate_m_scaling_factors=True) treat.feed.properties[0].flow_vol @@ -597,3 +568,12 @@ def build_and_run_permian_pretreatment(Qin=5, tds=200, **kwargs): to_units=pyunits.Mgallons / pyunits.day, )() ) + # treat.product.properties[0].display() + + # treat.disposal_ZO_mixer.display() + + # treat.zo_to_sw_disposal.display() + + # treat.disposal_SW_mixer.display() + + # treat.DWI.unit.properties[0.0].display() From 72ec29be4b5d886fd2c897a334049dba0956fa49 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 3 Jan 2025 15:44:20 -0700 Subject: [PATCH 105/116] fix zo_to_sw translator block, black --- .../permian/components/translator_zo_to_sw.py | 5 +- .../case_studies/permian/permian_SOA.py | 5 +- .../case_studies/permian/permian_ST1_MD.py | 54 ++++++++++++++----- .../permian/permian_pretreatment.py | 53 ++++++++++++------ 4 files changed, 81 insertions(+), 36 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py index 2e6486ff..bd3e29a8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/translator_zo_to_sw.py @@ -62,7 +62,6 @@ def build(self): def eq_flow_mass_water(blk, t): return ( blk.properties_out[t].flow_mass_phase_comp["Liq", "H2O"] - # * 1.0539167632118351 == blk.properties_in[t].flow_mass_comp["H2O"] ) @@ -72,8 +71,8 @@ def eq_flow_mass_water(blk, t): ) def eq_flow_mass_tds(blk, t): return ( - blk.properties_out[t].conc_mass_phase_comp["Liq", "TDS"] - == blk.properties_in[t].conc_mass_comp["tds"] + blk.properties_out[t].flow_mass_phase_comp["Liq", "TDS"] + == blk.properties_in[t].flow_mass_comp["tds"] ) def initialize_build( diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py index 23bbd114..88056cd1 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py @@ -78,10 +78,7 @@ solver = get_solver() -__all__ = [ - "build_and_run_permian_SOA", - "solve_permian_SOA" -] +__all__ = ["build_and_run_permian_SOA", "solve_permian_SOA"] def build_and_run_permian_SOA( diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py index 9ea60f3f..ba52cbeb 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py @@ -76,6 +76,30 @@ # Update membrane type and MD recovery +def get_stream_density(Qin=5, tds=130, **kwargs): + global rho + + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + Qin = Qin * pyunits.Mgallons / pyunits.day + flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) + m.fs.properties_feed = SeawaterParameterBlock() + m.fs.feed_sw = Feed(property_package=m.fs.properties_feed) + m.fs.feed_sw.properties.calculate_state( + var_args={ + ("flow_vol_phase", "Liq"): flow_in, + ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, + ("temperature", None): 298.15, + ("pressure", None): 101325, + }, + hold_state=True, + ) + + m.fs.feed_sw.initialize() + + rho = m.fs.feed_sw.properties[0].dens_mass_phase["Liq"] + + def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.1): """ Build Permian pretreatment flowsheet @@ -86,6 +110,7 @@ def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.1): m.db = REFLODatabase() m.fs.properties = ZO(solute_list=["tds"]) + m.fs.properties.dens_mass_default = rho m.fs.properties_feed = SeawaterParameterBlock() m.fs.properties_vapor = SteamParameterBlock() @@ -211,20 +236,20 @@ def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.1): return m -def set_operating_conditions_st1_md(m, rho,rho_water,Qin=5, tds=130, **kwargs): +def set_operating_conditions_st1_md(m, rho, rho_water, Qin=5, tds=130, **kwargs): global flow_mass_water, flow_mass_tds, flow_in - m.fs.properties.dens_mass = rho - Qin = Qin * pyunits.Mgallons / pyunits.day flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - flow_mass_water = pyunits.convert(Qin * rho_water, to_units=pyunits.kg / pyunits.s) + flow_mass_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) flow_mass_tds = pyunits.convert( Qin * tds * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.s ) - m.fs.treatment.feed.properties[0].flow_mass_comp["H2O"].fix(flow_mass_water) + m.fs.treatment.feed.properties[0].flow_mass_comp["H2O"].fix( + flow_mass_water - flow_mass_tds + ) m.fs.treatment.feed.properties[0].flow_mass_comp["tds"].fix(flow_mass_tds) m.fs.treatment.feed.properties[0].conc_mass_comp[...] @@ -471,6 +496,7 @@ def init_system_st1_md(m, **kwargs): treat.product.properties[0].conc_mass_phase_comp treat.product.initialize() + def get_density(m, Qin=5, tds=130, **kwargs): Qin = Qin * pyunits.Mgallons / pyunits.day @@ -481,34 +507,36 @@ def get_density(m, Qin=5, tds=130, **kwargs): m.fs.treatment.feed_sw.properties.calculate_state( var_args={ ("flow_vol_phase", "Liq"): flow_in, - ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, + ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, ("temperature", None): 300, ("pressure", None): 101325, }, hold_state=True, ) - + m.fs.treatment.feed_sw.initialize() rho = m.fs.treatment.feed_sw.properties[0].dens_mass_phase["Liq"] rho_water = m.fs.treatment.feed_sw.properties[0].dens_mass_solvent print(m.fs.treatment.feed_sw.properties[0].dens_mass_phase.display()) - print( m.fs.treatment.feed_sw.properties[0].dens_mass_solvent.display()) + print(m.fs.treatment.feed_sw.properties[0].dens_mass_solvent.display()) + + return [rho, rho_water] - return [rho,rho_water] -def run_permian_st1_md(): +def run_permian_st1_md(Qin=5, tds=130, **kwargs): """ Run Permian pretreatment flowsheet """ + get_stream_density(Qin, tds) m = build_permian_st1_md() treat = m.fs.treatment - rho,rho_water = get_density(m) + rho, rho_water = get_density(m) - set_operating_conditions_st1_md(m,rho,rho_water) + set_operating_conditions_st1_md(m, rho, rho_water) set_permian_pretreatment_scaling_st1_md( m, calclate_m_scaling_factors=True ) # Doesn't solve without this even before costing @@ -584,7 +612,7 @@ def run_permian_st1_md(): if __name__ == "__main__": - m = run_permian_st1_md() + m = run_permian_st1_md(Qin=5, tds=130) treat = m.fs.treatment report_MD(m, treat.md) print(f"DOF = {degrees_of_freedom(m)}") diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 68342b50..69a0a3a8 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -72,6 +72,32 @@ ] +def get_stream_density(Qin=5, tds=130, **kwargs): + global rho + + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + Qin = Qin * pyunits.Mgallons / pyunits.day + flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) + m.fs.properties_feed = SeawaterParameterBlock() + m.fs.feed_sw = Feed(property_package=m.fs.properties_feed) + m.fs.feed_sw.properties.calculate_state( + var_args={ + ("flow_vol_phase", "Liq"): flow_in, + ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, + ("temperature", None): 298.15, + ("pressure", None): 101325, + }, + hold_state=True, + ) + + m.fs.feed_sw.initialize() + + rho = m.fs.feed_sw.properties[0].dens_mass_phase["Liq"] + + # print(m.fs.feed_sw.properties[0].dens_mass_phase.display()) + + def build_permian_pretreatment(**kwargs): """ Build Permian pretreatment flowsheet @@ -82,6 +108,7 @@ def build_permian_pretreatment(**kwargs): m.db = REFLODatabase() m.fs.properties = ZO(solute_list=["tds"]) + m.fs.properties.dens_mass_default = rho m.fs.properties_feed = SeawaterParameterBlock() m.fs.properties_vapor = SteamParameterBlock() @@ -216,16 +243,16 @@ def set_operating_conditions(m, Qin=5, tds=130, **kwargs): global flow_mass_water, flow_mass_tds, flow_in - m.fs.properties.dens_mass_default = rho - Qin = Qin * pyunits.Mgallons / pyunits.day flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - flow_mass_water = pyunits.convert(Qin * rho_water, to_units=pyunits.kg / pyunits.s) + flow_mass_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) flow_mass_tds = pyunits.convert( Qin * tds * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.s ) - m.fs.treatment.feed.properties[0].flow_mass_comp["H2O"].fix(flow_mass_water) + m.fs.treatment.feed.properties[0].flow_mass_comp["H2O"].fix( + flow_mass_water - flow_mass_tds + ) m.fs.treatment.feed.properties[0].flow_mass_comp["tds"].fix(flow_mass_tds) m.fs.treatment.feed.properties[0].conc_mass_comp[...] @@ -288,8 +315,6 @@ def set_permian_pretreatment_scaling(m, calclate_m_scaling_factors=False, **kwar set_ec_scaling(m, m.fs.treatment.EC, calc_blk_scaling_factors=True) - # set_mvc_scaling(m, m.fs.treatment.MVC, calc_blk_scaling_factors=True) - set_scaling_factor( m.fs.treatment.product.properties[0].flow_mass_phase_comp["Liq", "H2O"], 1e-2 ) @@ -471,6 +496,7 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): """ Run Permian pretreatment flowsheet """ + get_stream_density(Qin=Qin, tds=tds) m = build_permian_pretreatment() m.fs.optimal_solve = Var(initialize=1) @@ -538,7 +564,11 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): ) print( - f'CF feed TDS conc: {treat.cart_filt.product.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' + f'CF feed TDS conc: {treat.cart_filt.feed.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.feed.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'CF product TDS conc: {treat.cart_filt.product.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' ) print( @@ -568,12 +598,3 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): to_units=pyunits.Mgallons / pyunits.day, )() ) - # treat.product.properties[0].display() - - # treat.disposal_ZO_mixer.display() - - # treat.zo_to_sw_disposal.display() - - # treat.disposal_SW_mixer.display() - - # treat.DWI.unit.properties[0.0].display() From 1084081fcb1782b86f8cef7fa2a5f8366ce0ed4f Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Sat, 4 Jan 2025 16:24:26 -0700 Subject: [PATCH 106/116] pretreatment checkpoint before attempt at sweep --- .../case_studies/permian/components/MVC.py | 91 ++++-- .../permian/components/deep_well_injection.py | 29 +- .../case_studies/permian/permian_SOA.py | 259 ++++++++++-------- .../permian/permian_pretreatment.py | 74 +++-- 4 files changed, 277 insertions(+), 176 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py index 5d25052c..e978667c 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/MVC.py @@ -94,8 +94,8 @@ def build_and_run_mvc(recovery=0.5, Qin=4.9, tds=118, **kwargs): m = build_mvc_system(recovery=recovery) mvc = m.fs.MVC - m.fs.optimal_solve = Var(initialize=1) - m.fs.optimal_solve.fix() + m.fs.optimal_solve_mvc = Var(initialize=0) + m.fs.optimal_solve_mvc.fix() set_system_operating_conditions(m, Qin=Qin, tds=tds, feed_temp=25) set_mvc_operating_conditions(m, mvc) set_mvc_scaling(m, mvc) @@ -111,30 +111,38 @@ def build_and_run_mvc(recovery=0.5, Qin=4.9, tds=118, **kwargs): mvc.hx_brine.area.unfix() mvc.recovery_mass.unfix() mvc.recovery_vol.fix(m.recovery_vol) + print(f"\n~~~~~FOURTH MVC SOLVE~~~~") try: results = solve_mvc(m) + print(f"termination MVC FOURTH {results.solver.termination_condition}") except: pass - mvc.evaporator.area.fix() - mvc.hx_distillate.area.fix() - mvc.hx_brine.area.fix() - mvc.compressor.pressure_ratio.fix() - print(f"dof = {degrees_of_freedom(m)}") - assert degrees_of_freedom(m) == 0 + display_metrics(m, mvc) + display_design(m, mvc) + # del m.fs.costing.LCOW_obj + # mvc.evaporator.area.fix() + # mvc.hx_distillate.area.fix() + # mvc.hx_brine.area.fix() + mvc.compressor.pressure_ratio.fix(1.6) + print(f"dof MVC FINAL = {degrees_of_freedom(m)}") + # assert degrees_of_freedom(m) == 0 m.fs.product.properties[0].flow_vol_phase - m.fs.product.properties[0].conc_mass_phase_comp + # m.fs.product.properties[0].conc_mass_phase_comp m.fs.product.initialize() m.fs.disposal.properties[0].flow_vol_phase - m.fs.disposal.properties[0].conc_mass_phase_comp + # m.fs.disposal.properties[0].conc_mass_phase_comp + + print(f"\n~~~~~FINAL MVC SOLVE~~~~") try: results = solve_mvc(m) + print(f"termination MVC FINAL {results.solver.termination_condition}") if not check_optimal_termination(results): - m.fs.optimal_solve.fix(0) + m.fs.optimal_solve_mvc.fix(0) except: pass # m.fs.costing.LCOW.display() - # assert False + display_metrics(m, mvc) display_design(m, mvc) @@ -145,14 +153,14 @@ def solve_mvc(m): solver = get_solver() try: results = solver.solve(m, tee=False) - print(f"termination {results.solver.termination_condition}") + print(f"termination MVC {results.solver.termination_condition}") assert_optimal_termination(results) - m.fs.optimal_solve.fix(1) + m.fs.optimal_solve_mvc.fix(1) except: results = solver.solve(m, tee=False) - print(f"termination {results.solver.termination_condition}") + print(f"termination MVC {results.solver.termination_condition}") assert_optimal_termination(results) - m.fs.optimal_solve.fix(1) + m.fs.optimal_solve_mvc.fix(1) return results @@ -265,7 +273,7 @@ def build_mvc(m, blk, external_heating=True): # Set lower bound of approach temperatures blk.hx_distillate.delta_temperature_in.setlb(0) blk.hx_distillate.delta_temperature_out.setlb(0) - blk.hx_distillate.area.setlb(10) + blk.hx_distillate.area.setlb(5) blk.hx_brine = HeatExchanger( hot_side_name="hot", @@ -281,7 +289,7 @@ def build_mvc(m, blk, external_heating=True): # Set lower bound of approach temperatures blk.hx_brine.delta_temperature_in.setlb(0) blk.hx_brine.delta_temperature_out.setlb(0) - blk.hx_brine.area.setlb(10) + blk.hx_brine.area.setlb(5) blk.mixer_feed = Mixer( property_package=m.fs.properties_feed, @@ -759,9 +767,9 @@ def init_mvc( print(f"blk dof = {degrees_of_freedom(blk)}") print(f"model dof = {degrees_of_freedom(m)}") results = solver.solve(blk, tee=False) - print(f"MVC solve termination {results.solver.termination_condition}") - _log.info(f"MVC solve termination {results.solver.termination_condition}") assert_optimal_termination(results) + print(f"MVC FIRST solve termination {results.solver.termination_condition}") + _log.info(f"MVC FIRST solve termination {results.solver.termination_condition}") display_metrics(m, blk) display_design(m, blk) @@ -779,9 +787,9 @@ def init_mvc( print(f"blk dof = {degrees_of_freedom(blk)}") print(f"model dof = {degrees_of_freedom(m)}") results = solver.solve(blk, tee=False) - print(f"MVC solve termination {results.solver.termination_condition}") - _log.info(f"MVC solve termination {results.solver.termination_condition}") assert_optimal_termination(results) + print(f"MVC SECOND solve termination {results.solver.termination_condition}") + _log.info(f"MVC SECOND solve termination {results.solver.termination_condition}") display_metrics(m, blk) display_design(m, blk) @@ -797,18 +805,20 @@ def init_mvc( v.fix(value(feed_state_vars[k])) try: print(f"\n~~~~~THIRD SOLVE~~~~") - blk.feed.initialize() - m.fs.costing.initialize() print(f"blk dof = {degrees_of_freedom(blk)}") print(f"model dof = {degrees_of_freedom(m)}") + blk.feed.initialize() + m.fs.costing.initialize() results = solver.solve(blk, tee=False) - print(f"MVC solve termination {results.solver.termination_condition}") - _log.info(f"MVC solve termination {results.solver.termination_condition}") + # results = solve_mvc(blk) assert_optimal_termination(results) + print(f"MVC THIRD solve termination {results.solver.termination_condition}") + _log.info(f"MVC THIRD solve termination {results.solver.termination_condition}") display_metrics(m, blk) display_design(m, blk) except: + print(f"MVC THIRD SOLVE FAILED!!\n") pass # print(f"\n~~~~~FOURTH SOLVE~~~~") @@ -1208,10 +1218,33 @@ def scale_mvc_costs(m, blk): if __name__ == "__main__": - m = build_and_run_mvc(recovery=0.4, Qin=1, tds=75) - m.fs.MVC.recovery_vol.display() + m = build_and_run_mvc(recovery=0.5, Qin=5.01, tds=130) + # m.fs.MVC.recovery_vol.display() # m.fs.costing.total_capital_cost.display() # m.fs.costing.total_operating_cost.display() # m.fs.product.properties[0].flow_vol_phase.display() # m.fs.MVC.product.properties[0].flow_vol_phase.display() - m.fs.costing.LCOW.display() + # m.fs.costing.LCOW.display() + + +## USED TO RE-INIT MVC @ THIRD SOLVE +# blk.condenser.initialize(heat=-blk.evaporator.heat_transfer.value) + +# blk.external_heating.fix() +# blk.evaporator.properties_vapor[0].flow_mass_phase_comp["Vap", "H2O"].fix() +# blk.evaporator.initialize( +# delta_temperature_in=delta_temperature_in, +# delta_temperature_out=delta_temperature_out, +# solver="ipopt-watertap", +# ) +# blk.external_heating.unfix() +# blk.evaporator.properties_vapor[0].flow_mass_phase_comp["Vap", "H2O"].unfix() + +# blk.separator.split_fraction[0, "hx_distillate_cold"].fix( +# blk.recovery_mass.value +# ) +# blk.separator.initialize(solver="ipopt-watertap") +# blk.separator.split_fraction[0, "hx_distillate_cold"].unfix() + +# blk.mixer_feed.initialize(solver="ipopt-watertap") +# blk.mixer_feed.pressure_equality_constraints[0, 2].deactivate() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/deep_well_injection.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/deep_well_injection.py index d342cecd..6fadb004 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/deep_well_injection.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/deep_well_injection.py @@ -67,8 +67,9 @@ def build_and_run_dwi(Qin=5, tds=130, **kwargs): m = build_system() - m.fs.optimal_solve = Var(initialize=1) - m.fs.optimal_solve.fix() + m.fs.optimal_solve_dwi = Var(initialize=1) + m.fs.optimal_solve_dwi.fix() + m.fs.feed.properties[0].conc_mass_phase_comp add_dwi_costing(m, m.fs.DWI) m.fs.costing.cost_process() m.fs.costing.add_LCOW(m.fs.feed.properties[0].flow_vol_phase["Liq"]) @@ -80,9 +81,9 @@ def build_and_run_dwi(Qin=5, tds=130, **kwargs): results = solver.solve(m) # assert_optimal_termination(results) if not check_optimal_termination(results): - m.fs.optimal_solve.fix(0) - - print(f"LCOW = {m.fs.costing.LCOW()}") + m.fs.optimal_solve_dwi.fix(0) + # m.fs.feed.properties[0].conc_mass_phase_comp.display() + # print(f"LCOW = {m.fs.costing.LCOW()}") return m @@ -125,10 +126,20 @@ def set_system_operating_conditions(m, Qin=5, tds=130): Qin * tds * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.s ) - m.fs.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"].fix(flow_mass_water) - m.fs.feed.properties[0].flow_mass_phase_comp["Liq", "TDS"].fix(flow_mass_tds) - m.fs.feed.properties[0].temperature.fix(293) - m.fs.feed.properties[0].pressure.fix(101325) + m.fs.feed.properties.calculate_state( + var_args={ + ("flow_vol_phase", "Liq"): flow_in, + ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, + ("temperature", None): 298.15, + ("pressure", None): 101325, + }, + hold_state=True, + ) + + # m.fs.feed.properties[0].flow_mass_phase_comp["Liq", "H2O"].fix(flow_mass_water) + # m.fs.feed.properties[0].flow_mass_phase_comp["Liq", "TDS"].fix(flow_mass_tds) + # m.fs.feed.properties[0].temperature.fix(293) + # m.fs.feed.properties[0].pressure.fix(101325) m.fs.properties.set_default_scaling( "flow_mass_phase_comp", diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py index 88056cd1..3148e88d 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py @@ -85,33 +85,48 @@ def build_and_run_permian_SOA( pretreatment_recovery=0.98, recovery=0.5, Qin=5, tds=130, **kwargs ): m_pre = build_and_run_permian_pretreatment(Qin=Qin, tds=tds, **kwargs) + # results = solve_permian_SOA(m_pre) # m.fs.treatment.product.display() - flow_to_mvc = pyunits.convert( - m_pre.fs.treatment.product.properties[0].flow_vol_phase["Liq"], - to_units=pyunits.Mgallons / pyunits.day, - )() + flow_to_mvc = value( + pyunits.convert( + m_pre.fs.treatment.product.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.Mgallons / pyunits.day, + ) + ) flow_to_mvc = Qin * pretreatment_recovery - tds_to_mvc = pyunits.convert( - m_pre.cart_filt.product.properties[0].conc_mass_comp["tds"], - to_units=pyunits.gram / pyunits.liter, - )() - print(f"Flow to MVC: {flow_to_mvc} MGD") - print(f"TDS to MVC: {tds_to_mvc} g/L") + tds_to_mvc = value( + pyunits.convert( + m_pre.fs.treatment.product.properties[0].conc_mass_phase_comp["Liq", "TDS"], + to_units=pyunits.gram / pyunits.liter, + ) + ) + # print(f"Flow to MVC: {flow_to_mvc} MGD") + # print(f"TDS to MVC: {tds_to_mvc} g/L") + # assert False # assert False m_mvc = build_and_run_mvc( recovery=recovery, Qin=Qin * pretreatment_recovery, tds=tds_to_mvc, **kwargs ) # results = solve_permian_SOA(m_mvc) - - flow_to_dwi = pyunits.convert( - m_mvc.fs.disposal.properties[0].flow_vol_phase["Liq"], - to_units=pyunits.Mgallons / pyunits.day, - )() - tds_to_dwi = pyunits.convert( - m_mvc.fs.disposal.properties[0].conc_mass_phase_comp["Liq", "TDS"], - to_units=pyunits.gram / pyunits.liter, - )() + m_mvc.fs.disposal.properties[0].flow_vol_phase + m_mvc.fs.disposal.properties[0].conc_mass_phase_comp + m_mvc.fs.disposal.initialize() + + flow_to_dwi = value( + pyunits.convert( + m_mvc.fs.disposal.properties[0].flow_vol_phase["Liq"], + to_units=pyunits.Mgallons / pyunits.day, + ) + ) + tds_to_dwi = value( + pyunits.convert( + m_mvc.fs.disposal.properties[0].conc_mass_phase_comp["Liq", "TDS"], + to_units=pyunits.gram / pyunits.liter, + ) + ) + # m_mvc.fs.disposal.properties[0].display() + # assert False m_dwi = build_and_run_dwi(Qin=flow_to_dwi, tds=tds_to_dwi, **kwargs) # results = solve_permian_SOA(m_dwi) @@ -138,6 +153,8 @@ def build_and_run_permian_SOA( m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) m.fs.costing = Block() + m.fs.optimal_solve_system = Var(initialize=1) + m.fs.optimal_solve_system.fix(1) m.fs.recovery = Var(initialize=recovery) m.fs.recovery.fix() @@ -228,7 +245,7 @@ def build_and_run_permian_SOA( f"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FINISHED %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" ) print( - f"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% {Qin}, {tds} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" + f"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% {Qin}, {tds}, {recovery} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" ) print( f"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" @@ -239,7 +256,10 @@ def build_and_run_permian_SOA( def solve_permian_SOA(m): solver = get_solver() results = solver.solve(m) - assert_optimal_termination(results) + if not check_optimal_termination(results): + results = solver.solve(m) + if not check_optimal_termination(results): + m.fs.optimal_solve_system.fix(0) return results @@ -247,100 +267,113 @@ def solve_permian_SOA(m): from watertap_contrib.reflo.kurby import * - m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA(Qin=2.05, tds=130) + m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA(Qin=5, tds=130) # results_dict = build_results_dict(m) # results_dict["flow_mgd"] = list() # results_dict["tds"] = list() - recovery = [0.4, 0.45] - qs = [5] - salt = [90, 130] - - recovery = np.arange(0.4, 0.61, 0.01) - qs = np.arange(1, 10 + 0.5, 0.5) - salt = np.arange(75, 180, 5) - - recovery = [0.4, 0.45, 0.5, 0.55, 0.6, 0.65] - qs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] - salt = [75, 90, 105, 120, 130, 135, 150, 165] - - results_df = pd.DataFrame() - results_df_pre = pd.DataFrame() - results_df_mvc = pd.DataFrame() - results_df_dwi = pd.DataFrame() - - for r in recovery: - - tmp_results_dict = build_results_dict(m) - tmp_results_dict["flow_mgd"] = list() - tmp_results_dict["tds"] = list() - tmp_results_dict["rerun"] = list() - - tmp_results_dict_pre = build_results_dict(m_pre) - tmp_results_dict_pre["flow_mgd"] = list() - tmp_results_dict_pre["tds"] = list() - tmp_results_dict_pre["rerun"] = list() - - tmp_results_dict_mvc = build_results_dict(m_mvc) - tmp_results_dict_mvc["flow_mgd"] = list() - tmp_results_dict_mvc["tds"] = list() - tmp_results_dict_mvc["rerun"] = list() - - tmp_results_dict_dwi = build_results_dict(m_dwi) - tmp_results_dict_dwi["flow_mgd"] = list() - tmp_results_dict_dwi["tds"] = list() - tmp_results_dict_dwi["rerun"] = list() - for q in qs: - for s in salt: - rerun = 0 - tds = s - try: - m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( - Qin=q, tds=tds, recovery=r - ) - except: - rerun = 1 - # tds = s * 1.01 - m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( - Qin=q + 0.025, tds=s * 1.01, recovery=r - ) - tmp_results_dict = results_dict_append(m, tmp_results_dict) - tmp_results_dict["flow_mgd"].append(q) - tmp_results_dict["tds"].append(tds) - tmp_results_dict["rerun"].append(rerun) - - tmp_results_dict_pre = results_dict_append(m_pre, tmp_results_dict_pre) - tmp_results_dict_pre["flow_mgd"].append(q) - tmp_results_dict_pre["tds"].append(tds) - tmp_results_dict_pre["rerun"].append(rerun) - - tmp_results_dict_mvc = results_dict_append(m_mvc, tmp_results_dict_mvc) - tmp_results_dict_mvc["flow_mgd"].append(q) - tmp_results_dict_mvc["tds"].append(tds) - tmp_results_dict_mvc["rerun"].append(rerun) - - tmp_results_dict_dwi = results_dict_append(m_dwi, tmp_results_dict_dwi) - tmp_results_dict_dwi["flow_mgd"].append(q) - tmp_results_dict_dwi["tds"].append(tds) - tmp_results_dict_dwi["rerun"].append(rerun) - - results_df = pd.concat([results_df, pd.DataFrame.from_dict(tmp_results_dict)]) - results_df_pre = pd.concat( - [results_df_pre, pd.DataFrame.from_dict(tmp_results_dict_pre)] - ) - results_df_mvc = pd.concat( - [results_df_mvc, pd.DataFrame.from_dict(tmp_results_dict_mvc)] - ) - results_df_dwi = pd.concat( - [results_df_dwi, pd.DataFrame.from_dict(tmp_results_dict_dwi)] - ) - # results_dict = results_dict_append(m, results_dict, tmp_results_dict=tmp_results_dict) - - # pprint.pprint(results_dict) - timestr = time.strftime("%Y%m%d-%H%M%S") - results_df.to_csv(f"permian_soa_results_{timestr}.csv", index=False) - results_df_pre.to_csv(f"permian_soa_results_pre_{timestr}.csv", index=False) - results_df_mvc.to_csv(f"permian_soa_results_mvc_{timestr}.csv", index=False) - results_df_dwi.to_csv(f"permian_soa_results_dwi_{timestr}.csv", index=False) - # # m = build_and_run_permian_SOA(Qin=5, tds=105) + # recovery = [0.4, 0.45] + # qs = [5] + # salt = [90, 130] + + # recovery = np.arange(0.4, 0.61, 0.01) + # qs = np.arange(1, 10 + 0.5, 0.5) + # salt = np.arange(75, 180, 5) + + # recovery = [0.4, 0.45, 0.5, 0.55, 0.6, 0.65] + # recovery = [0.45] + # qs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + # salt = [75, 90, 105, 120, 130, 135, 150, 165] + + # results_df = pd.DataFrame() + # results_df_pre = pd.DataFrame() + # results_df_mvc = pd.DataFrame() + # results_df_dwi = pd.DataFrame() + + # for r in recovery: + + # tmp_results_dict = build_results_dict(m) + # tmp_results_dict["flow_mgd"] = list() + # tmp_results_dict["tds"] = list() + # tmp_results_dict["rerun"] = list() + + # tmp_results_dict_pre = build_results_dict(m_pre) + # tmp_results_dict_pre["flow_mgd"] = list() + # tmp_results_dict_pre["tds"] = list() + # tmp_results_dict_pre["rerun"] = list() + + # tmp_results_dict_mvc = build_results_dict(m_mvc) + # tmp_results_dict_mvc["flow_mgd"] = list() + # tmp_results_dict_mvc["tds"] = list() + # tmp_results_dict_mvc["rerun"] = list() + + # tmp_results_dict_dwi = build_results_dict(m_dwi) + # tmp_results_dict_dwi["flow_mgd"] = list() + # tmp_results_dict_dwi["tds"] = list() + # tmp_results_dict_dwi["rerun"] = list() + # for q in qs: + # for s in salt: + # rerun = 0 + # tds = s + # try: + # m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( + # Qin=q, tds=tds, recovery=r + # ) + # except: + # rerun = 1 + # # tds = s * 1.01 + # m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( + # Qin=q + 0.01, tds=s * 1.01, recovery=r + # ) + # tmp_results_dict = results_dict_append(m, tmp_results_dict) + # tmp_results_dict["flow_mgd"].append(q) + # tmp_results_dict["tds"].append(tds) + # tmp_results_dict["rerun"].append(rerun) + + # tmp_results_dict_pre = results_dict_append(m_pre, tmp_results_dict_pre) + # tmp_results_dict_pre["flow_mgd"].append(q) + # tmp_results_dict_pre["tds"].append(tds) + # tmp_results_dict_pre["rerun"].append(rerun) + + # tmp_results_dict_mvc = results_dict_append(m_mvc, tmp_results_dict_mvc) + # tmp_results_dict_mvc["flow_mgd"].append(q) + # tmp_results_dict_mvc["tds"].append(tds) + # tmp_results_dict_mvc["rerun"].append(rerun) + + # tmp_results_dict_dwi = results_dict_append(m_dwi, tmp_results_dict_dwi) + # tmp_results_dict_dwi["flow_mgd"].append(q) + # tmp_results_dict_dwi["tds"].append(tds) + # tmp_results_dict_dwi["rerun"].append(rerun) + + # results_df = pd.concat([results_df, pd.DataFrame.from_dict(tmp_results_dict)]) + # results_df_pre = pd.concat( + # [results_df_pre, pd.DataFrame.from_dict(tmp_results_dict_pre)] + # ) + # results_df_mvc = pd.concat( + # [results_df_mvc, pd.DataFrame.from_dict(tmp_results_dict_mvc)] + # ) + # results_df_dwi = pd.concat( + # [results_df_dwi, pd.DataFrame.from_dict(tmp_results_dict_dwi)] + # ) + # # results_dict = results_dict_append(m, results_dict, tmp_results_dict=tmp_results_dict) + # save_dir = "/Users/ksitterl/Documents/Python/watertap-reflo/watertap-reflo/src/watertap_contrib/reflo/analysis/case_studies/permian/SOA_results" + # # pprint.pprint(results_dict) + # timestr = time.strftime("%Y%m%d-%H%M%S") + # # results_df.to_csv(f"permian_soa_results_{timestr}.csv", index=False) + # # results_df_pre.to_csv(f"permian_soa_results_pre_{timestr}.csv", index=False) + # # results_df_mvc.to_csv(f"permian_soa_results_mvc_{timestr}.csv", index=False) + # # results_df_dwi.to_csv(f"permian_soa_results_dwi_{timestr}.csv", index=False) + # # # m = build_and_run_permian_SOA(Qin=5, tds=105) + + # results_merged = pd.merge( + # results_df, results_df_pre, on=["flow_mgd", "tds", "rerun"], suffixes=("_system", "_pre") + # ) + # results_merged = pd.merge( + # results_merged, results_df_mvc, on=["flow_mgd", "tds", "rerun"], suffixes=("_pre", "_mvc") + # ) + # results_merged = pd.merge( + # results_merged, results_df_dwi, on=["flow_mgd", "tds", "rerun"], suffixes=("_mvc", "_dwi") + # ) + + # results_merged.to_csv(f"{save_dir}/permian_soa_results_MERGED_{timestr}.csv", index=False) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py index 69a0a3a8..93ad3eb2 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_pretreatment.py @@ -73,15 +73,14 @@ def get_stream_density(Qin=5, tds=130, **kwargs): - global rho - m = ConcreteModel() - m.fs = FlowsheetBlock(dynamic=False) + x = ConcreteModel() + x.fs = FlowsheetBlock(dynamic=False) Qin = Qin * pyunits.Mgallons / pyunits.day flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - m.fs.properties_feed = SeawaterParameterBlock() - m.fs.feed_sw = Feed(property_package=m.fs.properties_feed) - m.fs.feed_sw.properties.calculate_state( + x.fs.properties_feed = SeawaterParameterBlock() + x.fs.feed_sw = Feed(property_package=x.fs.properties_feed) + x.fs.feed_sw.properties.calculate_state( var_args={ ("flow_vol_phase", "Liq"): flow_in, ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, @@ -91,18 +90,24 @@ def get_stream_density(Qin=5, tds=130, **kwargs): hold_state=True, ) - m.fs.feed_sw.initialize() + x.fs.feed_sw.initialize() - rho = m.fs.feed_sw.properties[0].dens_mass_phase["Liq"] + rho = ( + value(x.fs.feed_sw.properties[0].dens_mass_phase["Liq"]) + * pyunits.kg + / pyunits.m**3 + ) + return rho # print(m.fs.feed_sw.properties[0].dens_mass_phase.display()) -def build_permian_pretreatment(**kwargs): +def build_permian_pretreatment(rho=None, **kwargs): """ Build Permian pretreatment flowsheet """ - + if rho is None: + raise ValueError("need a rho!") m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) m.db = REFLODatabase() @@ -245,7 +250,7 @@ def set_operating_conditions(m, Qin=5, tds=130, **kwargs): Qin = Qin * pyunits.Mgallons / pyunits.day flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - flow_mass_water = pyunits.convert(Qin * rho, to_units=pyunits.kg / pyunits.s) + flow_mass_water = pyunits.convert(Qin * m.rho, to_units=pyunits.kg / pyunits.s) flow_mass_tds = pyunits.convert( Qin * tds * pyunits.g / pyunits.liter, to_units=pyunits.kg / pyunits.s ) @@ -447,11 +452,11 @@ def init_system(m, **kwargs): treat.disposal_ZO_mixer.initialize() propagate_state(treat.disposal_ZO_mix_to_translator) - treat.zo_to_sw_disposal.outlet.temperature[0].fix(320) + treat.zo_to_sw_disposal.outlet.temperature[0].fix(298.15) treat.zo_to_sw_disposal.outlet.pressure[0].fix() treat.zo_to_sw_disposal.initialize() - treat.zo_to_sw_feed.properties_out[0].temperature.fix(320) + treat.zo_to_sw_feed.properties_out[0].temperature.fix(298.15) treat.zo_to_sw_feed.properties_out[0].pressure.fix() treat.zo_to_sw_feed.initialize() @@ -496,10 +501,13 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): """ Run Permian pretreatment flowsheet """ - get_stream_density(Qin=Qin, tds=tds) + rho = get_stream_density(Qin=Qin, tds=tds) - m = build_permian_pretreatment() - m.fs.optimal_solve = Var(initialize=1) + m = build_permian_pretreatment(rho=rho) + m.rho = rho + m.fs.optimal_solve_pre = Var(initialize=1) + m.fs.rho = Var(initialize=rho()) + m.fs.rho.fix() treat = m.fs.treatment set_operating_conditions(m, Qin=Qin, tds=tds, **kwargs) @@ -521,9 +529,9 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): try: results = solver.solve(m) assert_optimal_termination(results) - m.fs.optimal_solve.fix(1) + m.fs.optimal_solve_pre.fix(1) except: - m.fs.optimal_solve.fix(0) + m.fs.optimal_solve_pre.fix(0) print_infeasible_constraints(m) print(f"LCOW = {m.fs.treatment.costing.LCOW()}") @@ -533,7 +541,7 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): if __name__ == "__main__": - m = build_and_run_permian_pretreatment(Qin=1) + m = build_and_run_permian_pretreatment(Qin=5) treat = m.fs.treatment print(f"DOF After Solve = {degrees_of_freedom(m)}") @@ -567,12 +575,28 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): f'CF feed TDS conc: {treat.cart_filt.feed.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.feed.properties[0].conc_mass_comp["tds"])}' ) + print( + f'CF unit inlet TDS conc: {treat.cart_filt.unit.properties_in[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'CF unit outlet TDS conc: {treat.cart_filt.unit.properties_treated[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'CF unit waste TDS conc: {treat.cart_filt.unit.properties_byproduct[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' + ) + print( f'CF product TDS conc: {treat.cart_filt.product.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' ) print( - f'Product TDS conc: {treat.product.properties[0].conc_mass_phase_comp["Liq", "TDS"]():.2f} {pyunits.get_units(treat.product.properties[0].conc_mass_phase_comp["Liq", "TDS"]())}' + f'CF disposal TDS conc: {treat.cart_filt.disposal.properties[0].conc_mass_comp["tds"]():.2f} {pyunits.get_units(treat.cart_filt.product.properties[0].conc_mass_comp["tds"])}' + ) + + print( + f'Product TDS conc: {treat.product.properties[0].conc_mass_phase_comp["Liq", "TDS"]():.2f} {pyunits.get_units(treat.product.properties[0].conc_mass_phase_comp["Liq", "TDS"])}' ) print( @@ -591,10 +615,10 @@ def build_and_run_permian_pretreatment(Qin=5, tds=130, **kwargs): print( f"Translator pressure: {treat.disposal_SW_mixer.zo_mixer_state[0].pressure()} Pa" ) - + print(f"System recovery: {system_recovery*100:.2f}%") + print( + f"Feed Flow: {pyunits.convert(treat.feed.properties[0].flow_vol,to_units=pyunits.Mgallons / pyunits.day,)():.2f} MGD" + ) print( - pyunits.convert( - treat.product.properties[0].flow_vol_phase["Liq"], - to_units=pyunits.Mgallons / pyunits.day, - )() + f"Product Flow: {pyunits.convert(treat.product.properties[0].flow_vol_phase['Liq'],to_units=pyunits.Mgallons / pyunits.day,)():.2f} MGD" ) From c62b689485670d1e1e05c023fc364be6e93eb150 Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Mon, 6 Jan 2025 08:32:49 -0700 Subject: [PATCH 107/116] SOA checkpoint --- .../case_studies/permian/permian_SOA.py | 235 +++++++++--------- 1 file changed, 120 insertions(+), 115 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py index 3148e88d..637bab38 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_SOA.py @@ -88,13 +88,8 @@ def build_and_run_permian_SOA( # results = solve_permian_SOA(m_pre) # m.fs.treatment.product.display() - flow_to_mvc = value( - pyunits.convert( - m_pre.fs.treatment.product.properties[0].flow_vol_phase["Liq"], - to_units=pyunits.Mgallons / pyunits.day, - ) - ) - flow_to_mvc = Qin * pretreatment_recovery + flow_to_mvc = Qin * value(m_pre.fs.treatment.EC.unit.recovery_frac_mass_H2O[0]) + flow_to_mvc = flow_to_mvc * value(m_pre.fs.treatment.cart_filt.unit.recovery_frac_mass_H2O[0]) tds_to_mvc = value( pyunits.convert( m_pre.fs.treatment.product.properties[0].conc_mass_phase_comp["Liq", "TDS"], @@ -103,12 +98,11 @@ def build_and_run_permian_SOA( ) # print(f"Flow to MVC: {flow_to_mvc} MGD") # print(f"TDS to MVC: {tds_to_mvc} g/L") - # assert False - # assert False + m_mvc = build_and_run_mvc( recovery=recovery, Qin=Qin * pretreatment_recovery, tds=tds_to_mvc, **kwargs ) - # results = solve_permian_SOA(m_mvc) + m_mvc.fs.disposal.properties[0].flow_vol_phase m_mvc.fs.disposal.properties[0].conc_mass_phase_comp m_mvc.fs.disposal.initialize() @@ -139,14 +133,14 @@ def build_and_run_permian_SOA( # print(f"Flow to DWI: {flow_to_dwi} MGD") # print(f"TDS to DWI: {tds_to_dwi} g/L") - product_flow = pyunits.convert( + product_flow = value(pyunits.convert( m_mvc.fs.product.properties[0].flow_vol_phase["Liq"], to_units=pyunits.m**3 / pyunits.year, - )() - product_flow_mgd = pyunits.convert( + )) + product_flow_mgd = value(pyunits.convert( m_mvc.fs.product.properties[0].flow_vol_phase["Liq"], to_units=pyunits.Mgallons / pyunits.day, - )() + )) system_recovery = product_flow_mgd / Qin flow_to_product = product_flow_mgd @@ -273,107 +267,118 @@ def solve_permian_SOA(m): # results_dict["flow_mgd"] = list() # results_dict["tds"] = list() - # recovery = [0.4, 0.45] - # qs = [5] - # salt = [90, 130] - - # recovery = np.arange(0.4, 0.61, 0.01) - # qs = np.arange(1, 10 + 0.5, 0.5) - # salt = np.arange(75, 180, 5) + recovery = [0.5, 0.55] + qs = [5] + salt = [90] - # recovery = [0.4, 0.45, 0.5, 0.55, 0.6, 0.65] + recovery = [0.4, 0.45, 0.5, 0.55, 0.6, 0.65] # recovery = [0.45] - # qs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] - # salt = [75, 90, 105, 120, 130, 135, 150, 165] - - # results_df = pd.DataFrame() - # results_df_pre = pd.DataFrame() - # results_df_mvc = pd.DataFrame() - # results_df_dwi = pd.DataFrame() - - # for r in recovery: - - # tmp_results_dict = build_results_dict(m) - # tmp_results_dict["flow_mgd"] = list() - # tmp_results_dict["tds"] = list() - # tmp_results_dict["rerun"] = list() - - # tmp_results_dict_pre = build_results_dict(m_pre) - # tmp_results_dict_pre["flow_mgd"] = list() - # tmp_results_dict_pre["tds"] = list() - # tmp_results_dict_pre["rerun"] = list() - - # tmp_results_dict_mvc = build_results_dict(m_mvc) - # tmp_results_dict_mvc["flow_mgd"] = list() - # tmp_results_dict_mvc["tds"] = list() - # tmp_results_dict_mvc["rerun"] = list() - - # tmp_results_dict_dwi = build_results_dict(m_dwi) - # tmp_results_dict_dwi["flow_mgd"] = list() - # tmp_results_dict_dwi["tds"] = list() - # tmp_results_dict_dwi["rerun"] = list() - # for q in qs: - # for s in salt: - # rerun = 0 - # tds = s - # try: - # m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( - # Qin=q, tds=tds, recovery=r - # ) - # except: - # rerun = 1 - # # tds = s * 1.01 - # m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( - # Qin=q + 0.01, tds=s * 1.01, recovery=r - # ) - # tmp_results_dict = results_dict_append(m, tmp_results_dict) - # tmp_results_dict["flow_mgd"].append(q) - # tmp_results_dict["tds"].append(tds) - # tmp_results_dict["rerun"].append(rerun) - - # tmp_results_dict_pre = results_dict_append(m_pre, tmp_results_dict_pre) - # tmp_results_dict_pre["flow_mgd"].append(q) - # tmp_results_dict_pre["tds"].append(tds) - # tmp_results_dict_pre["rerun"].append(rerun) - - # tmp_results_dict_mvc = results_dict_append(m_mvc, tmp_results_dict_mvc) - # tmp_results_dict_mvc["flow_mgd"].append(q) - # tmp_results_dict_mvc["tds"].append(tds) - # tmp_results_dict_mvc["rerun"].append(rerun) - - # tmp_results_dict_dwi = results_dict_append(m_dwi, tmp_results_dict_dwi) - # tmp_results_dict_dwi["flow_mgd"].append(q) - # tmp_results_dict_dwi["tds"].append(tds) - # tmp_results_dict_dwi["rerun"].append(rerun) - - # results_df = pd.concat([results_df, pd.DataFrame.from_dict(tmp_results_dict)]) - # results_df_pre = pd.concat( - # [results_df_pre, pd.DataFrame.from_dict(tmp_results_dict_pre)] - # ) - # results_df_mvc = pd.concat( - # [results_df_mvc, pd.DataFrame.from_dict(tmp_results_dict_mvc)] - # ) - # results_df_dwi = pd.concat( - # [results_df_dwi, pd.DataFrame.from_dict(tmp_results_dict_dwi)] - # ) - # # results_dict = results_dict_append(m, results_dict, tmp_results_dict=tmp_results_dict) - # save_dir = "/Users/ksitterl/Documents/Python/watertap-reflo/watertap-reflo/src/watertap_contrib/reflo/analysis/case_studies/permian/SOA_results" - # # pprint.pprint(results_dict) - # timestr = time.strftime("%Y%m%d-%H%M%S") - # # results_df.to_csv(f"permian_soa_results_{timestr}.csv", index=False) - # # results_df_pre.to_csv(f"permian_soa_results_pre_{timestr}.csv", index=False) - # # results_df_mvc.to_csv(f"permian_soa_results_mvc_{timestr}.csv", index=False) - # # results_df_dwi.to_csv(f"permian_soa_results_dwi_{timestr}.csv", index=False) - # # # m = build_and_run_permian_SOA(Qin=5, tds=105) - - # results_merged = pd.merge( - # results_df, results_df_pre, on=["flow_mgd", "tds", "rerun"], suffixes=("_system", "_pre") - # ) - # results_merged = pd.merge( - # results_merged, results_df_mvc, on=["flow_mgd", "tds", "rerun"], suffixes=("_pre", "_mvc") - # ) - # results_merged = pd.merge( - # results_merged, results_df_dwi, on=["flow_mgd", "tds", "rerun"], suffixes=("_mvc", "_dwi") - # ) + qs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + salt = [75, 90, 105, 120, 130, 135, 150, 165] + + results_df = pd.DataFrame() + results_df_pre = pd.DataFrame() + results_df_mvc = pd.DataFrame() + results_df_dwi = pd.DataFrame() + + for r in recovery: + + tmp_results_dict = build_results_dict(m) + tmp_results_dict["flow_mgd"] = list() + tmp_results_dict["tds"] = list() + tmp_results_dict["rerun"] = list() + + tmp_results_dict_pre = build_results_dict(m_pre) + tmp_results_dict_pre["flow_mgd"] = list() + tmp_results_dict_pre["tds"] = list() + tmp_results_dict_pre["rerun"] = list() + + tmp_results_dict_mvc = build_results_dict(m_mvc) + tmp_results_dict_mvc["flow_mgd"] = list() + tmp_results_dict_mvc["tds"] = list() + tmp_results_dict_mvc["rerun"] = list() + + tmp_results_dict_dwi = build_results_dict(m_dwi) + tmp_results_dict_dwi["flow_mgd"] = list() + tmp_results_dict_dwi["tds"] = list() + tmp_results_dict_dwi["rerun"] = list() + for q in qs: + for s in salt: + rerun = 0 + tds = s + try: + m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( + Qin=q, tds=tds, recovery=r + ) + except: + rerun = 1 + # tds = s * 1.01 + m, m_pre, m_mvc, m_dwi = build_and_run_permian_SOA( + Qin=q + 0.01, tds=s * 1.01, recovery=r + ) + tmp_results_dict = results_dict_append(m, tmp_results_dict) + tmp_results_dict["flow_mgd"].append(q) + tmp_results_dict["tds"].append(tds) + tmp_results_dict["rerun"].append(rerun) + + tmp_results_dict_pre = results_dict_append(m_pre, tmp_results_dict_pre) + tmp_results_dict_pre["flow_mgd"].append(q) + tmp_results_dict_pre["tds"].append(tds) + tmp_results_dict_pre["rerun"].append(rerun) + + tmp_results_dict_mvc = results_dict_append(m_mvc, tmp_results_dict_mvc) + tmp_results_dict_mvc["flow_mgd"].append(q) + tmp_results_dict_mvc["tds"].append(tds) + tmp_results_dict_mvc["rerun"].append(rerun) + + tmp_results_dict_dwi = results_dict_append(m_dwi, tmp_results_dict_dwi) + tmp_results_dict_dwi["flow_mgd"].append(q) + tmp_results_dict_dwi["tds"].append(tds) + tmp_results_dict_dwi["rerun"].append(rerun) + + results_df = pd.concat([results_df, pd.DataFrame.from_dict(tmp_results_dict)]) + results_df_pre = pd.concat( + [results_df_pre, pd.DataFrame.from_dict(tmp_results_dict_pre)] + ) + results_df_mvc = pd.concat( + [results_df_mvc, pd.DataFrame.from_dict(tmp_results_dict_mvc)] + ) + results_df_dwi = pd.concat( + [results_df_dwi, pd.DataFrame.from_dict(tmp_results_dict_dwi)] + ) + # results_dict = results_dict_append(m, results_dict, tmp_results_dict=tmp_results_dict) + save_dir = "/Users/ksitterl/Documents/Python/watertap-reflo/watertap-reflo/src/watertap_contrib/reflo/analysis/case_studies/permian/SOA_results" + # pprint.pprint(results_dict) + timestr = time.strftime("%Y%m%d-%H%M%S") + # results_df.to_csv(f"permian_soa_results_{timestr}.csv", index=False) + # results_df_pre.to_csv(f"permian_soa_results_pre_{timestr}.csv", index=False) + # results_df_mvc.to_csv(f"permian_soa_results_mvc_{timestr}.csv", index=False) + # results_df_dwi.to_csv(f"permian_soa_results_dwi_{timestr}.csv", index=False) + # # m = build_and_run_permian_SOA(Qin=5, tds=105) + mvc_col_dict = dict() + for c in results_df_mvc.columns: + mvc_col_dict[c] = c.replace("fs.MVC.", "MVC.").replace("fs.costing", "MVC_costing") + results_df_mvc.rename(columns=mvc_col_dict, inplace=True) + + dwi_col_dict = dict() + for c in results_df_dwi.columns: + dwi_col_dict[c] = c.replace("fs.DWI.", "DWI.").replace("fs.costing", "DWI_costing") + results_df_dwi.rename(columns=dwi_col_dict, inplace=True) +# results_df.rename( +# columns={ +# "fs.costing.LCOW": "system_LCOW", +# "fs.costing.total_capital_cost": "system_total_capital_cost", +# "fs.costing.total_operating_cost": "system_total_operating_cost", +# }, inplace=True +# ) + results_merged = pd.merge( + results_df, results_df_pre, on=["flow_mgd", "tds", "rerun"] + ) + results_merged = pd.merge( + results_merged, results_df_mvc, on=["flow_mgd", "tds", "rerun"] + ) + results_merged = pd.merge( + results_merged, results_df_dwi, on=["flow_mgd", "tds", "rerun"] + ) - # results_merged.to_csv(f"{save_dir}/permian_soa_results_MERGED_{timestr}.csv", index=False) + results_merged.to_csv(f"{save_dir}/permian_soa_results_MERGED_{timestr}.csv", index=False) From 11364dd8858b4deb5d9e6041a505d431491c6f2e Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 7 Jan 2025 14:16:27 -0700 Subject: [PATCH 108/116] update gitignore with csv, png, pkl, rtf --- .gitignore | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index a0b837b9..9eade4c6 100644 --- a/.gitignore +++ b/.gitignore @@ -152,4 +152,8 @@ auto-save-list *.json *.h5 *.svg -*.jpg \ No newline at end of file +*.jpg +*.csv +*.png +*.pkl +*.rtf \ No newline at end of file From 954a5b0f9dbadeae85dcc456ae9b64471238a68b Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 7 Jan 2025 14:20:15 -0700 Subject: [PATCH 109/116] linking constraints on main unit model self rather than effect models --- .../unit_models/multi_effect_crystallizer.py | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/src/watertap_contrib/reflo/unit_models/multi_effect_crystallizer.py b/src/watertap_contrib/reflo/unit_models/multi_effect_crystallizer.py index 97e60b06..e2d5253e 100644 --- a/src/watertap_contrib/reflo/unit_models/multi_effect_crystallizer.py +++ b/src/watertap_contrib/reflo/unit_models/multi_effect_crystallizer.py @@ -13,9 +13,7 @@ # Import Pyomo libraries from pyomo.environ import ( - ConcreteModel, check_optimal_termination, - assert_optimal_termination, Var, Constraint, Expression, @@ -32,15 +30,12 @@ UnitModelBlockData, useDefault, FlowsheetBlock, - UnitModelCostingBlock, ) from idaes.core.util.exceptions import InitializationError, ConfigurationError import idaes.core.util.scaling as iscale from idaes.core.util.config import is_physical_parameter_block from idaes.core.util.model_statistics import degrees_of_freedom -from idaes.core.util.tables import create_stream_table_dataframe import idaes.logger as idaeslog -from idaes.core.util.constants import Constants from watertap.core import InitializationMixin, ControlVolume0DBlock from watertap.core.solvers import get_solver @@ -283,7 +278,7 @@ def eq_heating_steam_flow_rate(b): - effect.temperature_operating, doc=f"Change in temperature at inlet for effect {n}", ) - effect.add_component( + self.add_component( f"eq_delta_temperature_inlet_effect_{n}", del_temp_in_constr ) @@ -293,7 +288,7 @@ def eq_heating_steam_flow_rate(b): - effect.properties_in[0].temperature, doc=f"Change in temperature at outlet for effect {n}", ) - effect.add_component( + self.add_component( f"eq_delta_temperature_outlet_effect_{n}", del_temp_out_constr ) @@ -304,14 +299,14 @@ def eq_heating_steam_flow_rate(b): * effect.delta_temperature[0], doc=f"Heat transfer equation for effect {n}", ) - effect.add_component(f"eq_heat_transfer_effect_{n}", hx_constr) + self.add_component(f"eq_heat_transfer_effect_{n}", hx_constr) energy_flow_constr = Constraint( expr=effect.work_mechanical[0] == prev_effect.energy_flow_superheated_vapor, doc=f"Energy supplied to effect {n}", ) - effect.add_component( + self.add_component( f"eq_energy_for_effect_{n}_from_effect_{n - 1}", energy_flow_constr ) @@ -456,7 +451,7 @@ def initialize_build( else: # Deactivate contraint that links energy flow between effects linking_constr = getattr( - eff.effect, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" + self, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" ) linking_constr.deactivate() eff.effect.initialize(**init_args) From 70ad4761a8ecee8aa6663988260af1e7b1427d6e Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 7 Jan 2025 14:44:51 -0700 Subject: [PATCH 110/116] update test --- .../tests/test_multi_effect_crystallizer.py | 63 ++++++++----------- 1 file changed, 27 insertions(+), 36 deletions(-) diff --git a/src/watertap_contrib/reflo/unit_models/tests/test_multi_effect_crystallizer.py b/src/watertap_contrib/reflo/unit_models/tests/test_multi_effect_crystallizer.py index 33728bb2..78b07f79 100644 --- a/src/watertap_contrib/reflo/unit_models/tests/test_multi_effect_crystallizer.py +++ b/src/watertap_contrib/reflo/unit_models/tests/test_multi_effect_crystallizer.py @@ -441,9 +441,6 @@ def test_build(self, MEC2_frame): assert hasattr(eff.effect, e) for c in effect_constr: assert hasattr(eff.effect, c) - assert hasattr(eff.effect, f"eq_delta_temperature_inlet_effect_{n}") - assert hasattr(eff.effect, f"eq_delta_temperature_outlet_effect_{n}") - assert hasattr(eff.effect, f"eq_heat_transfer_effect_{n}") if n == 1: assert number_variables(eff.effect) == 154 assert number_total_constraints(eff.effect) == 128 @@ -454,10 +451,13 @@ def test_build(self, MEC2_frame): assert hasattr(eff.effect, "eq_heating_steam_flow_rate") if n != 1: assert number_variables(eff.effect) == 148 - assert number_total_constraints(eff.effect) == 126 - assert number_unused_variables(eff.effect) == 0 + assert number_total_constraints(eff.effect) == 122 + assert number_unused_variables(eff.effect) == 4 + assert hasattr(m.fs.unit, f"eq_delta_temperature_inlet_effect_{n}") + assert hasattr(m.fs.unit, f"eq_delta_temperature_outlet_effect_{n}") + assert hasattr(m.fs.unit, f"eq_heat_transfer_effect_{n}") assert hasattr( - eff.effect, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" + m.fs.unit, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" ) assert number_variables(m) == 461 @@ -476,10 +476,7 @@ def test_dof(self, MEC2_frame): # Fixing flow rates into individual effects will reduce DOF... for n, eff in m.fs.unit.effects.items(): eff.effect.properties_in[0].flow_mass_phase_comp.fix() - if n == 1: - assert degrees_of_freedom(eff.effect) == 0 - else: - assert degrees_of_freedom(eff.effect) == 3 + assert degrees_of_freedom(eff.effect) == 0 # ... and result in an overspecified model. assert degrees_of_freedom(m) == -2 @@ -557,12 +554,12 @@ def test_initialize(self, MEC2_frame): .is_fixed() ) linking_constr = getattr( - eff.effect, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" + m.fs.unit, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" ) assert linking_constr.active assert eff.effect.overall_heat_transfer_coefficient.is_fixed() assert value(eff.effect.overall_heat_transfer_coefficient) == htc - assert degrees_of_freedom(eff.effect) == 3 + assert degrees_of_freedom(eff.effect) == 1 @pytest.mark.component def test_solve(self, MEC2_frame): @@ -969,9 +966,6 @@ def test_build(self, MEC3_frame): assert hasattr(eff.effect, e) for c in effect_constr: assert hasattr(eff.effect, c) - assert hasattr(eff.effect, f"eq_delta_temperature_inlet_effect_{n}") - assert hasattr(eff.effect, f"eq_delta_temperature_outlet_effect_{n}") - assert hasattr(eff.effect, f"eq_heat_transfer_effect_{n}") if n == 1: assert number_variables(eff.effect) == 154 assert number_total_constraints(eff.effect) == 128 @@ -982,10 +976,13 @@ def test_build(self, MEC3_frame): assert hasattr(eff.effect, "eq_heating_steam_flow_rate") if n != 1: assert number_variables(eff.effect) == 148 - assert number_total_constraints(eff.effect) == 126 - assert number_unused_variables(eff.effect) == 0 + assert number_total_constraints(eff.effect) == 122 + assert number_unused_variables(eff.effect) == 4 + assert hasattr(m.fs.unit, f"eq_delta_temperature_inlet_effect_{n}") + assert hasattr(m.fs.unit, f"eq_delta_temperature_outlet_effect_{n}") + assert hasattr(m.fs.unit, f"eq_heat_transfer_effect_{n}") assert hasattr( - eff.effect, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" + m.fs.unit, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" ) assert number_variables(m) == 609 @@ -1010,10 +1007,7 @@ def test_dof(self, MEC3_frame): ].unfix() assert degrees_of_freedom(m) == 0 for n, eff in m.fs.unit.effects.items(): - if n == 1: - assert degrees_of_freedom(eff.effect) == 0 - else: - assert degrees_of_freedom(eff.effect) == 3 + assert degrees_of_freedom(eff.effect) == 0 m.fs.unit.control_volume.properties_in[0].flow_mass_phase_comp[ "Liq", "H2O" ].fix() @@ -1097,12 +1091,12 @@ def test_initialize(self, MEC3_frame): .is_fixed() ) linking_constr = getattr( - eff.effect, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" + m.fs.unit, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" ) assert linking_constr.active assert eff.effect.overall_heat_transfer_coefficient.is_fixed() assert value(eff.effect.overall_heat_transfer_coefficient) == htc - assert degrees_of_freedom(eff.effect) == 3 + assert degrees_of_freedom(eff.effect) == 1 @pytest.mark.component def test_solve(self, MEC3_frame): @@ -1512,9 +1506,6 @@ def test_build(self, MEC4_frame): assert hasattr(eff.effect, e) for c in effect_constr: assert hasattr(eff.effect, c) - assert hasattr(eff.effect, f"eq_delta_temperature_inlet_effect_{n}") - assert hasattr(eff.effect, f"eq_delta_temperature_outlet_effect_{n}") - assert hasattr(eff.effect, f"eq_heat_transfer_effect_{n}") if n == 1: assert number_variables(eff.effect) == 154 assert number_total_constraints(eff.effect) == 128 @@ -1525,10 +1516,13 @@ def test_build(self, MEC4_frame): assert hasattr(eff.effect, "eq_heating_steam_flow_rate") if n != 1: assert number_variables(eff.effect) == 148 - assert number_total_constraints(eff.effect) == 126 - assert number_unused_variables(eff.effect) == 0 + assert number_total_constraints(eff.effect) == 122 + assert number_unused_variables(eff.effect) == 4 + assert hasattr(m.fs.unit, f"eq_delta_temperature_inlet_effect_{n}") + assert hasattr(m.fs.unit, f"eq_delta_temperature_outlet_effect_{n}") + assert hasattr(m.fs.unit, f"eq_heat_transfer_effect_{n}") assert hasattr( - eff.effect, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" + m.fs.unit, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" ) assert number_variables(m) == 757 @@ -1554,10 +1548,7 @@ def test_dof(self, MEC4_frame): ].unfix() assert degrees_of_freedom(m) == 0 for n, eff in m.fs.unit.effects.items(): - if n == 1: - assert degrees_of_freedom(eff.effect) == 0 - else: - assert degrees_of_freedom(eff.effect) == 3 + assert degrees_of_freedom(eff.effect) == 0 m.fs.unit.control_volume.properties_in[0].flow_mass_phase_comp[ "Liq", "H2O" ].fix() @@ -1641,12 +1632,12 @@ def test_initialize(self, MEC4_frame): .is_fixed() ) linking_constr = getattr( - eff.effect, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" + m.fs.unit, f"eq_energy_for_effect_{n}_from_effect_{n - 1}" ) assert linking_constr.active assert eff.effect.overall_heat_transfer_coefficient.is_fixed() assert value(eff.effect.overall_heat_transfer_coefficient) == htc - assert degrees_of_freedom(eff.effect) == 3 + assert degrees_of_freedom(eff.effect) == 1 @pytest.mark.component def test_solve(self, MEC4_frame): From 1e73e85dfb47335307511a5880610a1236074eaa Mon Sep 17 00:00:00 2001 From: kurbansitterley Date: Tue, 7 Jan 2025 14:57:42 -0700 Subject: [PATCH 111/116] linux os to ubuntu-22.04 --- .github/workflows/checks.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index cd07f832..fe6a6cd2 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -51,7 +51,7 @@ jobs: - noneditable include: - os: linux - os-version: ubuntu-latest + os-version: ubuntu-22.04 - os: win64 os-version: windows-latest steps: From 42253be587200613d7106ccb8bd445607aa55ee2 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Thu, 9 Jan 2025 15:35:01 -0700 Subject: [PATCH 112/116] kbhdp md component fix, permian st1 md fix --- .../case_studies/KBHDP/components/MD.py | 56 ++++++----- .../case_studies/permian/permian_ST1_MD.py | 96 ++++++++++++------- 2 files changed, 90 insertions(+), 62 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py index 9f99dda9..d4a7a40a 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/MD.py @@ -225,27 +225,31 @@ def init_md(blk, verbose=True, solver=None): # Build connection to permeate state junction blk.permeate.properties[0]._flow_vol_phase - @blk.Constraint( - doc="Assign the permeate flow rate to its respective state junction" - ) def get_permeate_flow(b): - num_modules = b.mp.get_active_process_blocks()[-1].fs.vagmd.num_modules + # num_modules = b.unit.mp.get_active_process_blocks()[-1].fs.vagmd.num_modules - return ( - b.permeate.properties[0].flow_vol_phase["Liq"] - == - # pyunits.convert( - pyunits.convert( - ( - num_modules - * b.mp.get_active_process_blocks()[-1].fs.acc_distillate_volume - / ( - b.mp.get_active_process_blocks()[-1].fs.dt - * (blk.n_time_points - 1) - ) - ), - to_units=pyunits.m**3 / pyunits.s, + vagmd = b.unit.mp.get_active_process_blocks()[-1].fs.vagmd + num_modules = pyunits.convert( + vagmd.system_capacity + / sum( + b.unit.mp.get_active_process_blocks()[i].fs.vagmd.permeate_flux + for i in range(blk.n_time_points) ) + * blk.n_time_points + / b.unit.mp.get_active_process_blocks()[0].fs.vagmd.module_area, + to_units=pyunits.dimensionless, + ) + + return b.permeate.properties[0].flow_vol_phase["Liq"] == pyunits.convert( + ( + num_modules + * b.unit.mp.get_active_process_blocks()[-1].fs.acc_distillate_volume + / ( + b.unit.mp.get_active_process_blocks()[-1].fs.dt + * (blk.n_time_points - 1) + ) + ), + to_units=pyunits.m**3 / pyunits.s, ) blk.permeate.properties[0].flow_mass_phase_comp["Liq", "TDS"].fix(0) @@ -261,19 +265,21 @@ def get_permeate_flow(b): doc="Assign the concentrate flow rate to its respective state junction" ) def get_concentrate_flow(b): - num_modules = b.mp.get_active_process_blocks()[-1].fs.vagmd.num_modules + num_modules = b.unit.mp.get_active_process_blocks()[-1].fs.vagmd.num_modules return b.concentrate.properties[0].flow_vol_phase["Liq"] == pyunits.convert( ( - num_modules - * blk.model_options["initial_batch_volume"] - * pyunits.L - * (1 - b.mp.get_active_process_blocks()[-1].fs.acc_recovery_ratio) - / (b.mp.get_active_process_blocks()[-1].fs.dt * (blk.n_time_points - 1)) + b.unit.mp.get_active_process_blocks()[-1].fs.vagmd.system_capacity + * (1 - m.water_recovery) + / m.water_recovery + # num_modules + # * blk.model_input["initial_batch_volume"] + # * pyunits.L + # * (1 - b.unit.mp.get_active_process_blocks()[-1].fs.acc_recovery_ratio) + # / (b.unit.mp.get_active_process_blocks()[-1].fs.dt * (blk.n_time_points - 1)) ), to_units=pyunits.m**3 / pyunits.s, ) - @blk.Constraint( doc="Assign the concentrate concentration to its respective state junction" ) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py index ba52cbeb..0af28667 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py @@ -77,7 +77,7 @@ def get_stream_density(Qin=5, tds=130, **kwargs): - global rho + # global rho m = ConcreteModel() m.fs = FlowsheetBlock(dynamic=False) @@ -89,18 +89,25 @@ def get_stream_density(Qin=5, tds=130, **kwargs): var_args={ ("flow_vol_phase", "Liq"): flow_in, ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, - ("temperature", None): 298.15, + ("temperature", None): 300, ("pressure", None): 101325, }, hold_state=True, ) m.fs.feed_sw.initialize() + rho = ( + value(m.fs.feed_sw.properties[0].dens_mass_phase["Liq"]) + * pyunits.kg + / pyunits.m**3 + ) - rho = m.fs.feed_sw.properties[0].dens_mass_phase["Liq"] + # rho = m.fs.feed_sw.properties[0].dens_mass_phase["Liq"] + return rho -def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.1): + +def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.2, rho=None): """ Build Permian pretreatment flowsheet """ @@ -236,7 +243,7 @@ def build_permian_st1_md(Qin=5, Q_md=0.22478, Cin=118, water_recovery=0.1): return m -def set_operating_conditions_st1_md(m, rho, rho_water, Qin=5, tds=130, **kwargs): +def set_operating_conditions_st1_md(m, rho, Qin=5, tds=130, **kwargs): global flow_mass_water, flow_mass_tds, flow_in @@ -276,6 +283,9 @@ def add_treatment_costing_st1_md(m): m.fs.treatment.md.unit.add_costing_module(m.fs.treatment.costing) m.fs.treatment.costing.cost_process() + m.fs.treatment.costing.add_annual_water_production( + m.fs.treatment.product.properties[0].flow_vol + ) def set_permian_pretreatment_scaling_st1_md( @@ -285,7 +295,7 @@ def set_permian_pretreatment_scaling_st1_md( m.fs.properties.set_default_scaling( "flow_mass_comp", # 1 / value(flow_mass_water), - 1e-3, + 1e-2, index=("H2O"), ) @@ -304,7 +314,7 @@ def set_permian_pretreatment_scaling_st1_md( m.fs.properties_feed.set_default_scaling( "flow_mass_phase_comp", - 1e-3, + 1e-2, index=("Liq", "H2O"), ) @@ -371,7 +381,7 @@ def set_permian_pretreatment_scaling_st1_md( m.fs.treatment.disposal_ZO_mixer.cart_filt_disposal_state[0].flow_mass_comp[ "tds" ], - 1e4, + 1e8, ) # EC inlet @@ -435,6 +445,20 @@ def set_permian_pretreatment_scaling_st1_md( 1e-2, ) + # DWI + set_scaling_factor( + m.fs.treatment.DWI.unit.properties[0].flow_mass_phase_comp[ + "Liq", "H2O" + ], + 1e-3, + ) + set_scaling_factor( + m.fs.treatment.DWI.unit.properties[0].flow_mass_phase_comp[ + "Liq", "TDS" + ], + 1e-1, + ) + if calclate_m_scaling_factors: print("calclate_m_scaling_factors\n\n\n") calculate_scaling_factors(m) @@ -481,7 +505,7 @@ def init_system_st1_md(m, **kwargs): # NOTE: variable that affects DOF in unclear way treat.disposal_SW_mixer.initialize() - treat.disposal_SW_mixer.mixed_state[0].temperature.fix() + treat.disposal_SW_mixer.mixed_state[0].temperature.fix(300) treat.disposal_SW_mixer.mixed_state[0].pressure.fix() propagate_state(treat.disposal_SW_mixer_to_dwi) @@ -497,46 +521,44 @@ def init_system_st1_md(m, **kwargs): treat.product.initialize() -def get_density(m, Qin=5, tds=130, **kwargs): +# def get_density(m, Qin=5, tds=130, **kwargs): - Qin = Qin * pyunits.Mgallons / pyunits.day - flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) +# Qin = Qin * pyunits.Mgallons / pyunits.day +# flow_in = pyunits.convert(Qin, to_units=pyunits.m**3 / pyunits.s) - treat = m.fs.treatment - treat.feed_sw = Feed(property_package=m.fs.properties_feed) - m.fs.treatment.feed_sw.properties.calculate_state( - var_args={ - ("flow_vol_phase", "Liq"): flow_in, - ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, - ("temperature", None): 300, - ("pressure", None): 101325, - }, - hold_state=True, - ) +# treat = m.fs.treatment +# treat.feed_sw = Feed(property_package=m.fs.properties_feed) +# m.fs.treatment.feed_sw.properties.calculate_state( +# var_args={ +# ("flow_vol_phase", "Liq"): flow_in, +# ("conc_mass_phase_comp", ("Liq", "TDS")): tds * pyunits.g / pyunits.liter, +# ("temperature", None): 300, +# ("pressure", None): 101325, +# }, +# hold_state=True, +# ) - m.fs.treatment.feed_sw.initialize() +# m.fs.treatment.feed_sw.initialize() - rho = m.fs.treatment.feed_sw.properties[0].dens_mass_phase["Liq"] - rho_water = m.fs.treatment.feed_sw.properties[0].dens_mass_solvent +# rho = m.fs.treatment.feed_sw.properties[0].dens_mass_phase["Liq"] +# rho_water = m.fs.treatment.feed_sw.properties[0].dens_mass_solvent - print(m.fs.treatment.feed_sw.properties[0].dens_mass_phase.display()) - print(m.fs.treatment.feed_sw.properties[0].dens_mass_solvent.display()) +# print(m.fs.treatment.feed_sw.properties[0].dens_mass_phase.display()) +# print(m.fs.treatment.feed_sw.properties[0].dens_mass_solvent.display()) - return [rho, rho_water] +# return [rho, rho_water] -def run_permian_st1_md(Qin=5, tds=130, **kwargs): +def run_permian_st1_md(Qin=5, tds=130, water_recovery = 0.3, **kwargs): """ Run Permian pretreatment flowsheet """ - get_stream_density(Qin, tds) + rho = get_stream_density(Qin, tds) - m = build_permian_st1_md() + m = build_permian_st1_md(rho=rho, water_recovery=water_recovery) treat = m.fs.treatment - rho, rho_water = get_density(m) - - set_operating_conditions_st1_md(m, rho, rho_water) + set_operating_conditions_st1_md(m, rho) set_permian_pretreatment_scaling_st1_md( m, calclate_m_scaling_factors=True ) # Doesn't solve without this even before costing @@ -612,13 +634,13 @@ def run_permian_st1_md(Qin=5, tds=130, **kwargs): if __name__ == "__main__": - m = run_permian_st1_md(Qin=5, tds=130) + m = run_permian_st1_md(Qin=5, tds=130, water_recovery = 0.1) treat = m.fs.treatment report_MD(m, treat.md) print(f"DOF = {degrees_of_freedom(m)}") system_recovery = ( - treat.feed.properties[0].flow_vol() / treat.product.properties[0].flow_vol() + treat.product.properties[0].flow_vol() / treat.feed.properties[0].flow_vol() ) print(f"Pretreatment Recovery: {system_recovery:.2f}") From 061aee450a7c5feb88d70bcabb55271dd0faf6f6 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 10 Jan 2025 16:32:57 -0700 Subject: [PATCH 113/116] CST updates with permian pkl and json heat 1-50 --- .../case_studies/KBHDP/components/CST.py | 44 +-- .../case_studies/permian/components/CST.py | 223 +++++++++++++++ .../permian/data/pysam_run_permian_trough.py | 257 ++++++++++++++++++ .../case_studies/permian/permian_ST1_MD.py | 7 +- 4 files changed, 512 insertions(+), 19 deletions(-) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/permian/components/CST.py create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/permian/data/pysam_run_permian_trough.py diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/CST.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/CST.py index db7a34d5..fbfa3744 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/CST.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/components/CST.py @@ -30,6 +30,8 @@ EnergyCosting, ) +import pickle + __all__ = [ "build_cst", "init_cst", @@ -58,17 +60,30 @@ def build_cst(blk, __file__=None): if __file__ == None: cwd = os.getcwd() - __file__ = cwd + r"\src\watertap_contrib\reflo\solar_models\surrogate\trough\\" + __file__ = cwd + r"\src\watertap_contrib\reflo\analysis\case_studies\permian\data\cst\\" dataset_filename = os.path.join( - os.path.dirname(__file__), r"data\test_trough_data.pkl" + os.path.dirname(__file__), r"trough_kbhdp_data_heat_load_1_100_hours_storage_0_24.pkl" ) + + # Updating pickle file output column names + with open(dataset_filename, 'rb') as f: + df = pickle.load(f) + + # Rename the columns + df.rename(columns={'annual_energy': 'heat_annual'}, inplace=True) + df.rename(columns={'electrical_load': 'electricity_annual'}, inplace=True) + + # Save the modified DataFrame back as a pickle + with open(dataset_filename, 'wb') as f: + pickle.dump(df, f) + surrogate_filename = os.path.join( os.path.dirname(__file__), - r"data\test_trough_data_heat_load_100_500_hours_storage_0_26.json", + r"trough_kbhdp_data_heat_load_1_100_hours_storage_0_24.json", ) - input_bounds = dict(heat_load=[100, 500], hours_storage=[0, 26]) + input_bounds = dict(heat_load=[1, 100], hours_storage=[0, 24]) input_units = dict(heat_load="MW", hours_storage="hour") input_variables = { "labels": ["heat_load", "hours_storage"], @@ -93,19 +108,16 @@ def build_cst(blk, __file__=None): def init_cst(blk): # Fix input variables for initialization - blk.unit.hours_storage.fix() - blk.unit.heat_load.fix() blk.unit.initialize() - blk.unit.heat_load.unfix() - def set_system_op_conditions(m): m.fs.system_capacity.fix() -def set_cst_op_conditions(blk, hours_storage=6): +def set_cst_op_conditions(blk, heat_load = 10, hours_storage=6): blk.unit.hours_storage.fix(hours_storage) + blk.unit.heat_load.fix(heat_load) def add_cst_costing(blk, costing_block): @@ -113,12 +125,11 @@ def add_cst_costing(blk, costing_block): def calc_costing(m, blk): - blk.costing.heat_cost.set_value(0) blk.costing.cost_process() blk.costing.initialize() # TODO: Connect to the treatment volume - blk.costing.add_LCOW(m.fs.system_capacity) + # blk.costing.add_LCOW(m.fs.system_capacity) def report_cst(m, blk): @@ -149,9 +160,9 @@ def report_cst_costing(m, blk): print(f"\n\n-------------------- CST Costing Report --------------------\n") print("\n") - print( - f'{"LCOW":<30s}{value(blk.costing.LCOW):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' - ) + # print( + # f'{"LCOW":<30s}{value(blk.costing.LCOW):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + # ) print( f'{"Capital Cost":<30s}{value(blk.costing.total_capital_cost):<20,.2f}{pyunits.get_units(blk.costing.total_capital_cost)}' @@ -199,17 +210,14 @@ def report_cst_costing(m, blk): build_cst(m.fs.cst) - init_cst(m.fs.cst) - set_cst_op_conditions(m.fs.cst) + init_cst(m.fs.cst) add_cst_costing(m.fs.cst, costing_block=m.fs.costing) calc_costing(m, m.fs) - m.fs.costing.aggregate_flow_heat.fix(-70000) results = solver.solve(m) print(degrees_of_freedom(m)) report_cst(m, m.fs.cst.unit) report_cst_costing(m, m.fs) - # m.fs.costing.used_flows.display() diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/components/CST.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/CST.py new file mode 100644 index 00000000..bbed5af6 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/components/CST.py @@ -0,0 +1,223 @@ +from pyomo.environ import ( + ConcreteModel, + value, + assert_optimal_termination, + units as pyunits, + Block, + Constraint, + SolverFactory, +) +import os + +from idaes.core import FlowsheetBlock, UnitModelCostingBlock +from idaes.core.solvers import get_solver + +from watertap.core.util.model_diagnostics.infeasible import * +from idaes.core.util.scaling import * + +from watertap_contrib.reflo.solar_models.surrogate.trough.trough_surrogate import ( + TroughSurrogate, +) + +from idaes.core.util.model_statistics import ( + degrees_of_freedom, + number_variables, + number_total_constraints, + number_unused_variables, +) + +from watertap_contrib.reflo.costing import ( + EnergyCosting, +) + +import pickle + +__all__ = [ + "build_cst", + "init_cst", + "set_cst_op_conditions", + "add_cst_costing", + "report_cst", + "report_cst_costing", +] + + +def build_system(): + m = ConcreteModel() + m.fs = FlowsheetBlock(dynamic=False) + m.fs.costing = EnergyCosting() + + m.fs.system_capacity = Var(initialize=6000, units=pyunits.m**3 / pyunits.day) + + m.fs.cst = FlowsheetBlock(dynamic=False) + + return m + + +def build_cst(blk, __file__=None): + + print(f'\n{"=======> BUILDING CST SYSTEM <=======":^60}\n') + + if __file__ == None: + cwd = os.getcwd() + __file__ = cwd + r"\src\watertap_contrib\reflo\analysis\case_studies\permian\data\cst\\" + + dataset_filename = os.path.join( + os.path.dirname(__file__), r"trough_permian_data_heat_load_1_50_hours_storage_0_24.pkl" + ) + + # Updating pickle file output column names + with open(dataset_filename, 'rb') as f: + df = pickle.load(f) + + # Rename the columns + df.rename(columns={'annual_energy': 'heat_annual'}, inplace=True) + df.rename(columns={'electrical_load': 'electricity_annual'}, inplace=True) + + # Save the modified DataFrame back as a pickle + with open(dataset_filename, 'wb') as f: + pickle.dump(df, f) + + surrogate_filename = os.path.join( + os.path.dirname(__file__), + r"trough_permian_data_heat_load_1_50_hours_storage_0_24.json", + ) + + input_bounds = dict(heat_load=[1, 50], hours_storage=[0, 24]) + input_units = dict(heat_load="MW", hours_storage="hour") + input_variables = { + "labels": ["heat_load", "hours_storage"], + "bounds": input_bounds, + "units": input_units, + } + + output_units = dict(heat_annual_scaled="kWh", electricity_annual_scaled="kWh") + output_variables = { + "labels": ["heat_annual_scaled", "electricity_annual_scaled"], + "units": output_units, + } + + blk.unit = TroughSurrogate( + surrogate_model_file=surrogate_filename, + dataset_filename=dataset_filename, + input_variables=input_variables, + output_variables=output_variables, + scale_training_data=True, + ) + + +def init_cst(blk): + # Fix input variables for initialization + blk.unit.initialize() + + +def set_system_op_conditions(m): + m.fs.system_capacity.fix() + + +def set_cst_op_conditions(blk, heat_load = 10, hours_storage=6): + blk.unit.hours_storage.fix(hours_storage) + blk.unit.heat_load.fix(heat_load) + + +def add_cst_costing(blk, costing_block): + blk.unit.costing = UnitModelCostingBlock(flowsheet_costing_block=costing_block) + + +def calc_costing(m, blk): + blk.costing.cost_process() + blk.costing.initialize() + + # TODO: Connect to the treatment volume + # blk.costing.add_LCOW(m.fs.system_capacity) + + +def report_cst(m, blk): + # blk = m.fs.cst + print(f"\n\n-------------------- CST Report --------------------\n") + print("\n") + + print( + f'{"Heat load":<30s}{value(blk.heat_load):<20,.2f}{pyunits.get_units(blk.heat_load)}' + ) + + print( + f'{"Heat annual":<30s}{value(blk.heat_annual):<20,.2f}{pyunits.get_units(blk.heat_annual)}' + ) + + print(f'{"Heat":<30s}{value(blk.heat):<20,.2f}{pyunits.get_units(blk.heat)}') + + print( + f'{"Electricity annual":<30s}{value(blk.electricity_annual):<20,.2f}{pyunits.get_units(blk.electricity_annual)}' + ) + + print( + f'{"Electricity":<30s}{value(blk.electricity):<20,.2f}{pyunits.get_units(blk.electricity)}' + ) + + +def report_cst_costing(m, blk): + print(f"\n\n-------------------- CST Costing Report --------------------\n") + print("\n") + + # print( + # f'{"LCOW":<30s}{value(blk.costing.LCOW):<20,.2f}{pyunits.get_units(blk.costing.LCOW)}' + # ) + + print( + f'{"Capital Cost":<30s}{value(blk.costing.total_capital_cost):<20,.2f}{pyunits.get_units(blk.costing.total_capital_cost)}' + ) + + print( + f'{"Fixed Operating Cost":<30s}{value(blk.costing.total_fixed_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_fixed_operating_cost)}' + ) + + print( + f'{"Variable Operating Cost":<30s}{value(blk.costing.total_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_variable_operating_cost)}' + ) + + print( + f'{"Total Operating Cost":<30s}{value(blk.costing.total_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.total_operating_cost)}' + ) + + # print( + # f'{"Aggregated Variable Operating Cost":<30s}{value(blk.costing.aggregate_variable_operating_cost):<20,.2f}{pyunits.get_units(blk.costing.aggregate_variable_operating_cost)}' + # ) + + # print( + # f'{"Heat flow":<30s}{value(blk.costing.aggregate_flow_heat):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_heat)}' + # ) + + # print( + # f'{"Heat Cost":<30s}{value(blk.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["heat"])}' + # ) + + # print( + # f'{"Elec Flow":<30s}{value(blk.costing.aggregate_flow_electricity):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_electricity)}' + # ) + + # print( + # f'{"Elec Cost":<30s}{value(blk.costing.aggregate_flow_costs["electricity"]):<20,.2f}{pyunits.get_units(blk.costing.aggregate_flow_costs["electricity"])}' + # ) + + +if __name__ == "__main__": + + solver = get_solver() + solver = SolverFactory("ipopt") + + m = build_system() + + build_cst(m.fs.cst) + + set_cst_op_conditions(m.fs.cst) + init_cst(m.fs.cst) + + add_cst_costing(m.fs.cst, costing_block=m.fs.costing) + calc_costing(m, m.fs) + results = solver.solve(m) + + print(degrees_of_freedom(m)) + report_cst(m, m.fs.cst.unit) + report_cst_costing(m, m.fs) + diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/data/pysam_run_permian_trough.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/data/pysam_run_permian_trough.py new file mode 100644 index 00000000..76ad0cb1 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/data/pysam_run_permian_trough.py @@ -0,0 +1,257 @@ +################################################################################# +# WaterTAP Copyright (c) 2020-2023, The Regents of the University of California, +# through Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory, +# National Renewable Energy Laboratory, and National Energy Technology +# Laboratory (subject to receipt of any required approvals from the U.S. Dept. +# of Energy). All rights reserved. +# +# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license +# information, respectively. These files are also available online at the URL +# "https://github.com/watertap-org/watertap/" +################################################################################# + +import json +from os.path import join, dirname +from math import floor, ceil, isnan +import numpy as np +import pandas as pd +import time +import multiprocessing +from itertools import product +import matplotlib.pyplot as plt +# import PySAM.TroughPhysicalIph as iph +import PySAM.TroughPhysicalProcessHeat as iph +import PySAM.IphToLcoefcr as iph_to_lcoefcr +import PySAM.Lcoefcr as lcoefcr + + +def read_module_datafile(file_name): + with open(file_name, "r") as file: + data = json.load(file) + return data + + +def load_config(modules, file_names=None, module_data=None): + """ + Loads parameter values into PySAM modules, either from files or supplied dicts + + :param modules: List of PySAM modules + :param file_names: List of JSON file paths containing parameter values for respective modules + :param module_data: List of dictionaries containing parameter values for respective modules + + :returns: no return value + """ + for i in range(len(modules)): + if file_names is not None: + assert len(file_names) == len(modules) + data = read_module_datafile(file_names[i]) + elif module_data is not None: + assert len(module_data) == len(modules) + data = module_data[i] + else: + raise Exception("Either file_names or module_data must be assigned.") + + missing_values = [] # for debugging + for k, v in data.items(): + if k != "number_inputs": + try: + modules[i].value(k, v) + except: + missing_values.append(k) + pass + + +def tes_cost(tech_model): + STORAGE_COST_SPECIFIC = 62 # [$/kWht] borrowed from physical power trough + tes_thermal_capacity = ( + tech_model.value("q_pb_design") * 1e3 * tech_model.value("tshours") + ) # [kWht] + return tes_thermal_capacity * STORAGE_COST_SPECIFIC + + +def system_capacity(tech_model): + return ( + tech_model.value("q_pb_design") + * tech_model.value("specified_solar_multiple") + * 1e3 + ) # [kW] + + +def setup_model( + model_name, + weather_file=None, + weather_data=None, + config_files=None, + config_data=None, +): + tech_model = iph.new() + modules = [tech_model] + + load_config(modules, config_files, config_data) + if weather_file is not None: + tech_model.Weather.file_name = weather_file + elif weather_data is not None: + tech_model.Weather.solar_resource_data = weather_data + else: + raise Exception("Either weather_file or weather_data must be specified.") + + return { + "tech_model": tech_model, + } + + +def run_model(modules, heat_load=None, hours_storage=None): + tech_model = modules["tech_model"] + + if heat_load is not None: + tech_model.value("q_pb_design", heat_load) + if hours_storage is not None: + tech_model.value("tshours", hours_storage) + tech_model.execute() + + + # NOTE: freeze_protection_field can sometimes be nan (when it should be 0) and this causes other nan's + # Thus, freeze_protection, annual_energy and capacity_factor must be calculated manually + # annual_energy = tech_model.Outputs.annual_energy # [kWht] net, does not include that used for freeze protection + # freeze_protection = tech_model.Outputs.annual_thermal_consumption # [kWht] + # capacity_factor = tech_model.Outputs.capacity_factor # [%] + freeze_protection_field = tech_model.Outputs.annual_field_freeze_protection + freeze_protection_field = ( + 0 if isnan(freeze_protection_field) else freeze_protection_field + ) # occasionally seen to be nan + freeze_protection_tes = tech_model.Outputs.annual_tes_freeze_protection + freeze_protection_tes = 0 if isnan(freeze_protection_tes) else freeze_protection_tes + freeze_protection = freeze_protection_field + freeze_protection_tes + annual_energy = ( + tech_model.Outputs.annual_energy - freeze_protection + ) # [kWht] net, does not include that used for freeze protection + capacity_factor = ( + annual_energy / (tech_model.value("q_pb_design") * 1e3 * 8760) * 100 + ) # [%] + electrical_load = tech_model.Outputs.annual_electricity_consumption # [kWhe] + + + return { + "annual_energy": annual_energy, # [kWh] annual net thermal energy in year 1 + "freeze_protection": freeze_protection, # [kWht] + "capacity_factor": capacity_factor, # [%] capacity factor + "electrical_load": electrical_load, # [kWhe] + } + + +def setup_and_run(model_name, weather_file, config_data, heat_load, hours_storage): + modules = setup_model( + model_name, weather_file=weather_file, config_data=config_data + ) + result = run_model(modules, heat_load, hours_storage) + return result + + +def plot_3d(df, x_index=0, y_index=1, z_index=2, grid=True, countour_lines=True): + """ + index 0 = x axis + index 1 = y axis + index 2 = z axis + """ + # 3D PLOT + # fig = plt.figure(figsize=(8,6)) + # ax = fig.add_subplot(1, 1, 1, projection='3d') + # surf = ax.plot_trisurf(df.iloc[:,0], df.iloc[:,1], df.iloc[:,2], cmap=plt.cm.viridis, linewidth=0.2) + # modld_pts = ax.scatter(df.iloc[:,0], df.iloc[:,1], df.iloc[:,2], c='black', s=15) + # ax.set_xlabel(df.columns[0]) + # ax.set_ylabel(df.columns[1]) + # ax.set_zlabel(df.columns[2]) + # plt.show() + + def _set_aspect(ax, aspect): + x_left, x_right = ax.get_xlim() + y_low, y_high = ax.get_ylim() + ax.set_aspect(abs((x_right - x_left) / (y_low - y_high)) * aspect) + + # CONTOUR PLOT + levels = 25 + df2 = df.pivot(df.columns[y_index], df.columns[x_index], df.columns[z_index]) + y = df2.index.values + x = df2.columns.values + z = df2.values + fig, ax = plt.subplots(1, 1) + cs = ax.contourf(x, y, z, levels=levels) + if countour_lines: + cl = ax.contour(x, y, z, colors="black", levels=levels) + ax.clabel(cl, colors="black", fmt="%#.4g") + if grid: + ax.grid(color="black") + _set_aspect(ax, 0.5) + fig.colorbar(cs) + ax.set_xlabel(df.columns[x_index]) + ax.set_ylabel(df.columns[y_index]) + ax.set_title(df.columns[z_index]) + plt.show() + + +######################################################################################################### +if __name__ == "__main__": + model_name = "PhysicalTroughIPHLCOHCalculator" + config_files = [ + join(dirname(__file__), "trough_physical_process_heat-reflo.json"), + ] + weather_file = join( + dirname(__file__), "carlsbad_NM_weather_tmy-2023-full.csv" + ) + dataset_filename = join( + dirname(__file__), "trough_data_heat_load_1_50.pkl" + ) # output dataset for surrogate training + + config_data = [read_module_datafile(config_file) for config_file in config_files] + del config_data[0]["file_name"] # remove weather filename + # modules = setup_model(model_name, weather_file, config_data=config_data) + + # Run default model + # result = run_model(modules, heat_load=None, hours_storage=None) + + # Run model at specific parameters + # result = run_model(modules, heat_load=600, hours_storage=3) + + # Run model conducive to multiprocessing + # weather_data = utils.read_weather_data(weather_file) # passing of weather data not yet enabled + # result_check = setup_and_run(model_name, weather_file, config_data, heat_load=600, hours_storage=3) + + # Run parametrics via multiprocessing + data = [] + heat_loads = np.linspace(1, 50, 50) # [MWt] + hours_storages = np.linspace(0, 24, 25) # [hr] + # hot_tank_set_point = np.arange(80, 160, 10) # [C] + arguments = list(product(heat_loads, hours_storages)) + df = pd.DataFrame(arguments, columns=["heat_load", "hours_storage"]) + + time_start = time.process_time() + with multiprocessing.Pool(processes=6) as pool: + args = [(model_name, weather_file, config_data, *args) for args in arguments] + results = pool.starmap(setup_and_run, args) + time_stop = time.process_time() + print("Multiprocessing time:", time_stop - time_start, "\n") + + df_results = pd.DataFrame(results) + + df = pd.concat( + [ + df, + df_results[ + [ + "annual_energy", + "freeze_protection", + "capacity_factor", + "electrical_load", + ] + ], + ], + axis=1, + ) + df.to_pickle(dataset_filename) + + plot_3d(df, 0, 1, 2, grid=False, countour_lines=False) # annual energy + plot_3d(df, 0, 1, 4, grid=False, countour_lines=False) # capacity factor + plot_3d(df, 0, 1, 6, grid=False, countour_lines=False) # lcoh + + # x = 1 # for breakpoint + pass diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py index 0af28667..92733667 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/permian_ST1_MD.py @@ -615,7 +615,8 @@ def run_permian_st1_md(Qin=5, tds=130, water_recovery = 0.3, **kwargs): treat.costing.initialize() flow_vol = treat.product.properties[0].flow_vol_phase["Liq"] - treat.costing.electricity_cost.fix(0.07) + treat.costing.electricity_cost.fix(0.0626) + treat.costing.heat_cost.set_value(0.018) treat.costing.add_LCOW(flow_vol) treat.costing.add_specific_energy_consumption(flow_vol, name="SEC") @@ -688,3 +689,7 @@ def run_permian_st1_md(Qin=5, tds=130, water_recovery = 0.3, **kwargs): print( f"Translator pressure: {treat.disposal_SW_mixer.zo_mixer_state[0].pressure()} Pa" ) + + print( + f'{"Aggregated Heat Cost":<30s}{value(m.fs.treatment.costing.aggregate_flow_costs["heat"]):<20,.2f}{pyunits.get_units(m.fs.treatment.costing.aggregate_flow_costs["heat"])}' + ) \ No newline at end of file From b3731d18f43e0fcb1893318cf15d40baa9d38027 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Fri, 10 Jan 2025 16:53:02 -0700 Subject: [PATCH 114/116] update filepaths in pysam_run_permian trough --- .../permian/data/pysam_run_permian_trough.py | 27 +++++++------------ 1 file changed, 10 insertions(+), 17 deletions(-) diff --git a/src/watertap_contrib/reflo/analysis/case_studies/permian/data/pysam_run_permian_trough.py b/src/watertap_contrib/reflo/analysis/case_studies/permian/data/pysam_run_permian_trough.py index 76ad0cb1..8986efd1 100644 --- a/src/watertap_contrib/reflo/analysis/case_studies/permian/data/pysam_run_permian_trough.py +++ b/src/watertap_contrib/reflo/analysis/case_studies/permian/data/pysam_run_permian_trough.py @@ -23,6 +23,7 @@ import PySAM.TroughPhysicalProcessHeat as iph import PySAM.IphToLcoefcr as iph_to_lcoefcr import PySAM.Lcoefcr as lcoefcr +import os def read_module_datafile(file_name): @@ -192,30 +193,22 @@ def _set_aspect(ax, aspect): ######################################################################################################### if __name__ == "__main__": model_name = "PhysicalTroughIPHLCOHCalculator" + __location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) + config_files = [ - join(dirname(__file__), "trough_physical_process_heat-reflo.json"), + os.path.join(__location__, "cst/trough_physical_process_heat-reflo.json"), ] - weather_file = join( - dirname(__file__), "carlsbad_NM_weather_tmy-2023-full.csv" + weather_file = os.path.join( + __location__, "carlsbad_NM_weather_tmy-2023-full.csv" ) - dataset_filename = join( - dirname(__file__), "trough_data_heat_load_1_50.pkl" + dataset_filename = os.path.join( + __location__, "cst/trough_data_heat_load_1_50.pkl" ) # output dataset for surrogate training config_data = [read_module_datafile(config_file) for config_file in config_files] del config_data[0]["file_name"] # remove weather filename - # modules = setup_model(model_name, weather_file, config_data=config_data) - - # Run default model - # result = run_model(modules, heat_load=None, hours_storage=None) - - # Run model at specific parameters - # result = run_model(modules, heat_load=600, hours_storage=3) - - # Run model conducive to multiprocessing - # weather_data = utils.read_weather_data(weather_file) # passing of weather data not yet enabled - # result_check = setup_and_run(model_name, weather_file, config_data, heat_load=600, hours_storage=3) - + + # Run parametrics via multiprocessing data = [] heat_loads = np.linspace(1, 50, 50) # [MWt] From 306004ed4e7a58e8cf92803c1ca990044adc2035 Mon Sep 17 00:00:00 2001 From: Mukta Hardikar Date: Mon, 13 Jan 2025 15:47:08 -0700 Subject: [PATCH 115/116] Adding trough surrogate files --- .../trough_physical_process_heat-reflo.json | 151 +++++++++++ .../KBHDP/data/run_pysam_permian_trough.py | 250 ++++++++++++++++++ ...ata_heat_load_1_50_hours_storage_0_24.json | 1 + .../trough_physical_process_heat-reflo.json | 151 +++++++++++ 4 files changed, 553 insertions(+) create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/cst/trough_physical_process_heat-reflo.json create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/run_pysam_permian_trough.py create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/permian/data/cst/trough_permian_data_heat_load_1_50_hours_storage_0_24.json create mode 100644 src/watertap_contrib/reflo/analysis/case_studies/permian/data/cst/trough_physical_process_heat-reflo.json diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/cst/trough_physical_process_heat-reflo.json b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/cst/trough_physical_process_heat-reflo.json new file mode 100644 index 00000000..0c1c2102 --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/cst/trough_physical_process_heat-reflo.json @@ -0,0 +1,151 @@ +{ + "file_name" : "./tucson_az_32.116521_-110.933042_psmv3_60_tmy.csv", + "track_mode" : 1, + "tilt" : 0, + "azimuth" : 0, + "I_bn_des" : 950, + "T_loop_in_des" : 90, + "T_loop_out" : 150, + "q_pb_design" : 5.1879099999999996, + "tshours" : 6, + "nSCA" : 4, + "nHCEt" : 4, + "nColt" : 4, + "nHCEVar" : 4, + "nLoops" : 8, + "eta_pump" : 0.84999999999999998, + "HDR_rough" : 4.57e-05, + "theta_stow" : 170, + "theta_dep" : 10, + "Row_Distance" : 15, + "FieldConfig" : 1, + "is_model_heat_sink_piping" : 0, + "L_heat_sink_piping" : 50, + "m_dot_htfmin" : 1, + "m_dot_htfmax" : 12, + "Fluid" : 31, + "wind_stow_speed" : 25, + "field_fl_props" : [ [ 20, 4.1799999999999997, 999, 0.001, 9.9999999999999995e-07, 0.58699999999999997, 85.299999999999997 ], [ 40, 4.1799999999999997, 993, 0.00065300000000000004, 6.5799999999999999e-07, 0.61799999999999999, 169 ], [ 60, 4.1799999999999997, 984, 0.00046700000000000002, 4.75e-07, 0.64200000000000002, 252 ], [ 80, 4.1900000000000004, 972, 0.00035500000000000001, 3.65e-07, 0.65700000000000003, 336 ], [ 100, 4.21, 959, 0.00028200000000000002, 2.9400000000000001e-07, 0.66600000000000004, 420 ], [ 120, 4.25, 944, 0.000233, 2.4600000000000001e-07, 0.67000000000000004, 505 ], [ 140, 4.2800000000000002, 927, 0.00019699999999999999, 2.1199999999999999e-07, 0.67000000000000004, 590 ], [ 160, 4.3399999999999999, 908, 0.00017100000000000001, 1.8799999999999999e-07, 0.66700000000000004, 676 ], [ 180, 4.4000000000000004, 887, 0.00014999999999999999, 1.6899999999999999e-07, 0.66100000000000003, 764 ], [ 200, 4.4900000000000002, 865, 0.000134, 1.55e-07, 0.65100000000000002, 852 ], [ 220, 4.5800000000000001, 842, 0.000118, 1.4100000000000001e-07, 0.64100000000000001, 941 ] ], + "T_fp" : 10, + "Pipe_hl_coef" : 0.45000000000000001, + "SCA_drives_elec" : 125, + "water_usage_per_wash" : 0.69999999999999996, + "washing_frequency" : 12, + "accept_mode" : 0, + "accept_init" : 0, + "accept_loc" : 1, + "mc_bal_hot" : 0.20000000000000001, + "mc_bal_cold" : 0.20000000000000001, + "mc_bal_sca" : 4.5, + "W_aperture" : [ 6, 6, 6, 6 ], + "A_aperture" : [ 656, 656, 656, 656 ], + "TrackingError" : [ 0.98799999999999999, 0.98799999999999999, 0.98799999999999999, 0.98799999999999999 ], + "GeomEffects" : [ 0.95199999999999996, 0.95199999999999996, 0.95199999999999996, 0.95199999999999996 ], + "Rho_mirror_clean" : [ 0.93000000000000005, 0.93000000000000005, 0.93000000000000005, 0.93000000000000005 ], + "Dirt_mirror" : [ 0.96999999999999997, 0.96999999999999997, 0.96999999999999997, 0.96999999999999997 ], + "Error" : [ 1, 1, 1, 1 ], + "Ave_Focal_Length" : [ 2.1499999999999999, 2.1499999999999999, 2.1499999999999999, 2.1499999999999999 ], + "L_SCA" : [ 115, 115, 115, 115 ], + "L_aperture" : [ 14.375, 14.375, 14.375, 14.375 ], + "ColperSCA" : [ 8, 8, 8, 8 ], + "Distance_SCA" : [ 1, 1, 1, 1 ], + "IAM_matrix" : [ [ 1, 0.0327, -0.1351 ], [ 1, 0.0327, -0.1351 ], [ 1, 0.0327, -0.1351 ], [ 1, 0.0327, -0.1351 ] ], + "HCE_FieldFrac" : [ [ 1, 0, 0, 0 ], [ 1, 0, 0, 0 ], [ 1, 0, 0, 0 ], [ 1, 0, 0, 0 ] ], + "D_2" : [ [ 0.075999999999999998, 0.075999999999999998, 0.075999999999999998, 0.075999999999999998 ], [ 0.075999999999999998, 0.075999999999999998, 0.075999999999999998, 0.075999999999999998 ], [ 0.075999999999999998, 0.075999999999999998, 0.075999999999999998, 0.075999999999999998 ], [ 0.075999999999999998, 0.075999999999999998, 0.075999999999999998, 0.075999999999999998 ] ], + "D_3" : [ [ 0.080000000000000002, 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"sf_rnr_wallthicks" : [ [ -1 ] ], + "sf_rnr_lengths" : [ [ -1 ] ], + "sf_hdr_diams" : [ [ -1 ] ], + "sf_hdr_wallthicks" : [ [ -1 ] ], + "sf_hdr_lengths" : [ [ -1 ] ], + "tanks_in_parallel" : 1, + "specified_solar_multiple" : 2.5, + "non_solar_field_land_area_multiplier" : 1.1000000000000001, + "trough_loop_control" : [ 4, 1, 1, 4, 1, 1, 3, 1, 1, 2, 1, 1, 1 ], + "disp_wlim_maxspec" : 9.9999999999999998e+37, + "constant" : 4 +} diff --git a/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/run_pysam_permian_trough.py b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/run_pysam_permian_trough.py new file mode 100644 index 00000000..4e71d0ee --- /dev/null +++ b/src/watertap_contrib/reflo/analysis/case_studies/KBHDP/data/run_pysam_permian_trough.py @@ -0,0 +1,250 @@ +################################################################################# +# WaterTAP Copyright (c) 2020-2023, The Regents of the University of California, +# through Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory, +# National Renewable Energy Laboratory, and National Energy Technology +# Laboratory (subject to receipt of any required approvals from the U.S. Dept. +# of Energy). All rights reserved. +# +# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license +# information, respectively. These files are also available online at the URL +# "https://github.com/watertap-org/watertap/" +################################################################################# + +import json +from os.path import join, dirname +from math import floor, ceil, isnan +import numpy as np +import pandas as pd +import time +import multiprocessing +from itertools import product +import matplotlib.pyplot as plt +# import PySAM.TroughPhysicalIph as iph +import PySAM.TroughPhysicalProcessHeat as iph +import PySAM.IphToLcoefcr as iph_to_lcoefcr +import PySAM.Lcoefcr as lcoefcr +import os + + +def read_module_datafile(file_name): + with open(file_name, "r") as file: + data = json.load(file) + return data + + +def load_config(modules, file_names=None, module_data=None): + """ + Loads parameter values into PySAM modules, either from files or supplied dicts + + :param modules: List of PySAM modules + :param file_names: List of JSON file paths containing parameter values for respective modules + :param module_data: List of dictionaries containing parameter values for respective modules + + :returns: no return value + """ + for i in range(len(modules)): + if file_names is not None: + assert len(file_names) == len(modules) + data = read_module_datafile(file_names[i]) + elif module_data is not None: + assert len(module_data) == len(modules) + data = module_data[i] + else: + raise Exception("Either file_names or module_data must be assigned.") + + missing_values = [] # for debugging + for k, v in data.items(): + if k != "number_inputs": + try: + modules[i].value(k, v) + except: + missing_values.append(k) + pass + + +def tes_cost(tech_model): + STORAGE_COST_SPECIFIC = 62 # [$/kWht] borrowed from physical power trough + tes_thermal_capacity = ( + tech_model.value("q_pb_design") * 1e3 * tech_model.value("tshours") + ) # [kWht] + return tes_thermal_capacity * STORAGE_COST_SPECIFIC + + +def system_capacity(tech_model): + return ( + tech_model.value("q_pb_design") + * tech_model.value("specified_solar_multiple") + * 1e3 + ) # [kW] + + +def setup_model( + model_name, + weather_file=None, + weather_data=None, + config_files=None, + config_data=None, +): + tech_model = iph.new() + modules = [tech_model] + + load_config(modules, config_files, config_data) + if weather_file is not None: + tech_model.Weather.file_name = weather_file + elif weather_data is not None: + tech_model.Weather.solar_resource_data = weather_data + else: + raise Exception("Either weather_file or weather_data must be specified.") + + return { + "tech_model": tech_model, + } + + +def run_model(modules, heat_load=None, hours_storage=None): + tech_model = modules["tech_model"] + + if heat_load is not None: + tech_model.value("q_pb_design", heat_load) + if hours_storage is not None: + tech_model.value("tshours", hours_storage) + tech_model.execute() + + + # NOTE: freeze_protection_field can sometimes be nan (when it should be 0) and this causes other nan's + # Thus, freeze_protection, annual_energy and capacity_factor must be calculated manually + # annual_energy = tech_model.Outputs.annual_energy # [kWht] net, does not include that used for freeze protection + # freeze_protection = tech_model.Outputs.annual_thermal_consumption # [kWht] + # capacity_factor = tech_model.Outputs.capacity_factor # [%] + freeze_protection_field = tech_model.Outputs.annual_field_freeze_protection + freeze_protection_field = ( + 0 if isnan(freeze_protection_field) else freeze_protection_field + ) # occasionally seen to be nan + freeze_protection_tes = tech_model.Outputs.annual_tes_freeze_protection + freeze_protection_tes = 0 if isnan(freeze_protection_tes) else freeze_protection_tes + freeze_protection = freeze_protection_field + freeze_protection_tes + annual_energy = ( + tech_model.Outputs.annual_energy - freeze_protection + ) # [kWht] net, does not include that used for freeze protection + capacity_factor = ( + annual_energy / (tech_model.value("q_pb_design") * 1e3 * 8760) * 100 + ) # [%] + electrical_load = tech_model.Outputs.annual_electricity_consumption # [kWhe] + + + return { + "annual_energy": annual_energy, # [kWh] annual net thermal energy in year 1 + "freeze_protection": freeze_protection, # [kWht] + "capacity_factor": capacity_factor, # [%] capacity factor + "electrical_load": electrical_load, # [kWhe] + } + + +def setup_and_run(model_name, weather_file, config_data, heat_load, hours_storage): + modules = setup_model( + model_name, weather_file=weather_file, config_data=config_data + ) + result = run_model(modules, heat_load, hours_storage) + return result + + +def plot_3d(df, x_index=0, y_index=1, z_index=2, grid=True, countour_lines=True): + """ + index 0 = x axis + index 1 = y axis + index 2 = z axis + """ + # 3D PLOT + # fig = plt.figure(figsize=(8,6)) + # ax = fig.add_subplot(1, 1, 1, projection='3d') + # surf = ax.plot_trisurf(df.iloc[:,0], df.iloc[:,1], df.iloc[:,2], cmap=plt.cm.viridis, linewidth=0.2) + # modld_pts = ax.scatter(df.iloc[:,0], df.iloc[:,1], df.iloc[:,2], c='black', s=15) + # ax.set_xlabel(df.columns[0]) + # ax.set_ylabel(df.columns[1]) + # ax.set_zlabel(df.columns[2]) + # plt.show() + + def _set_aspect(ax, aspect): + x_left, x_right = ax.get_xlim() + y_low, y_high = ax.get_ylim() + ax.set_aspect(abs((x_right - x_left) / (y_low - y_high)) * aspect) + + # CONTOUR PLOT + levels = 25 + df2 = df.pivot(df.columns[y_index], df.columns[x_index], df.columns[z_index]) + y = df2.index.values + x = df2.columns.values + z = df2.values + fig, ax = plt.subplots(1, 1) + cs = ax.contourf(x, y, z, levels=levels) + if countour_lines: + cl = ax.contour(x, y, z, colors="black", levels=levels) + ax.clabel(cl, colors="black", fmt="%#.4g") + if grid: + ax.grid(color="black") + _set_aspect(ax, 0.5) + fig.colorbar(cs) + ax.set_xlabel(df.columns[x_index]) + ax.set_ylabel(df.columns[y_index]) + ax.set_title(df.columns[z_index]) + plt.show() + + +######################################################################################################### +if __name__ == "__main__": + model_name = "PhysicalTroughIPHLCOHCalculator" + __location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) + + config_files = [ + os.path.join(__location__, "cst/trough_physical_process_heat-reflo.json"), + ] + weather_file = os.path.join( + __location__, "el_paso_texas-KBHDP-weather.csv" + ) + dataset_filename = os.path.join( + __location__, "cst/trough_data_heat_load_1_100_hours_storage_0_24.pkl" + ) # output dataset for surrogate training + + config_data = [read_module_datafile(config_file) for config_file in config_files] + del config_data[0]["file_name"] # remove weather filename + + + # Run parametrics via multiprocessing + data = [] + heat_loads = np.linspace(1, 100, 100) # [MWt] + hours_storages = np.linspace(0, 24, 25) # [hr] + # hot_tank_set_point = np.arange(80, 160, 10) # [C] + arguments = list(product(heat_loads, hours_storages)) + df = pd.DataFrame(arguments, columns=["heat_load", "hours_storage"]) + + time_start = time.process_time() + with multiprocessing.Pool(processes=6) as pool: + args = [(model_name, weather_file, config_data, *args) for args in arguments] + results = pool.starmap(setup_and_run, args) + time_stop = time.process_time() + print("Multiprocessing time:", time_stop - time_start, "\n") + + df_results = pd.DataFrame(results) + + df = pd.concat( + [ + df, + df_results[ + [ + "annual_energy", + "freeze_protection", + "capacity_factor", + "electrical_load", + ] + ], + ], + axis=1, + ) + df.to_pickle(dataset_filename) + + plot_3d(df, 0, 1, 2, grid=False, countour_lines=False) # annual energy + plot_3d(df, 0, 1, 4, grid=False, countour_lines=False) # capacity factor + plot_3d(df, 0, 1, 6, grid=False, countour_lines=False) # lcoh + + # x = 1 # for breakpoint + pass diff --git 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