Source code for watertap.examples.flowsheets.full_treatment_train.analysis.flowsheet_NF_two_stage

###############################################################################
# WaterTAP Copyright (c) 2021, 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/"
#
###############################################################################
'''
mutable parameters for optimization:
    m.fs.system_recovery_target
    m.fs.max_allowable_pressure
'''
from pyomo.environ import ConcreteModel, TransformationFactory, Constraint, Param

from idaes.core import FlowsheetBlock
from idaes.core.util.scaling import calculate_scaling_factors

from watertap.examples.flowsheets.full_treatment_train.util import (solve_block,
                                                             check_dof)

import watertap.examples.flowsheets.full_treatment_train.analysis.flowsheet_NF as flowsheet_NF
import watertap.examples.flowsheets.full_treatment_train.analysis.flowsheet_two_stage as flowsheet_two_stage


[docs]def build(m, **kwargs): """ Build a flowsheet with softening pretreatment and RO. """ assert kwargs['RO_base'] == 'TDS' assert not kwargs['has_desal_feed'] flowsheet_NF.build_components(m) kwargs['NF_type'] = 'ZO' flowsheet_two_stage.build_components(m, pretrt_type='NF', **kwargs) m.fs.feed.properties[0].flow_vol m.fs.feed.properties[0].conc_mol_phase_comp['Liq', 'Ca'] m.fs.tb_pretrt_to_desal.properties_in[0].flow_vol m.fs.tb_pretrt_to_desal.properties_in[0].conc_mol_phase_comp['Liq', 'Ca'] return m
def scale(m, **kwargs): flowsheet_NF.scale(m) flowsheet_two_stage.scale(m, **kwargs) def initialize(m, **kwargs): flowsheet_NF.initialize(m) flowsheet_two_stage.initialize(m, **kwargs) def report(m, **kwargs): flowsheet_NF.report(m) flowsheet_two_stage.report(m, **kwargs) def set_optimization_components(m, system_recovery, **kwargs): # unfix variables m.fs.splitter.split_fraction[0, 'bypass'].unfix() m.fs.splitter.split_fraction[0, 'bypass'].setlb(0.001) m.fs.splitter.split_fraction[0, 'bypass'].setub(0.99) m.fs.NF.area.unfix() m.fs.NF.area.setlb(0.1) m.fs.NF.area.setub(1000) m.fs.max_conc_factor_target = Param(initialize=3.5, mutable=True) m.fs.max_conc_factor_target_tol = Param(initialize=5e-6, mutable=True) m.fs.eq_max_conc_NF = Constraint( expr=(0, m.fs.NF.feed_side.properties_out[0].mass_frac_phase_comp['Liq', 'Ca'] - m.fs.max_conc_factor_target * m.fs.feed.properties[0].mass_frac_phase_comp['Liq', 'Ca'], m.fs.max_conc_factor_target_tol)) flowsheet_two_stage.set_optimization_components(m, system_recovery, **kwargs) def set_up_optimization(m, system_recovery=0.50, **kwargs): set_optimization_components(m, system_recovery, **kwargs) calculate_scaling_factors(m) check_dof(m, 8) def optimize(m, check_termination=True): return solve_block(m, tee=False, fail_flag=check_termination) def solve_flowsheet(**desal_kwargs): if desal_kwargs == {}: desal_kwargs = flowsheet_two_stage.desal_kwargs m = ConcreteModel() m.fs = FlowsheetBlock(default={"dynamic": False}) build(m, **desal_kwargs) TransformationFactory("network.expand_arcs").apply_to(m) # scale scale(m, **desal_kwargs) calculate_scaling_factors(m) # initialize initialize(m, **desal_kwargs) check_dof(m) solve_block(m, tee=False, fail_flag=True) # report print('===================================' '\n Simulation ') report(m, **desal_kwargs) return m def optimize_flowsheet(system_recovery=0.50, **kwargs): m = solve_flowsheet(**kwargs) set_up_optimization(m, system_recovery=system_recovery, **kwargs) optimize(m) print('===================================' '\n Optimization ') report(m, **flowsheet_two_stage.desal_kwargs) return m if __name__ == "__main__": import sys if len(sys.argv) == 1: m = solve_flowsheet() else: desal_kwargs = flowsheet_two_stage.desal_kwargs m = optimize_flowsheet(system_recovery=float(sys.argv[1]), **desal_kwargs)