Source code for proteuslib.unit_models.nanofiltration_0D

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# ProteusLib 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/nawi-hub/proteuslib/"
#
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# Import Pyomo libraries
from pyomo.environ import (Block,
                           Set,
                           Var,
                           Param,
                           Suffix,
                           NonNegativeReals,
                           Reference,
                           units as pyunits)
from pyomo.common.config import ConfigBlock, ConfigValue, In

# Import IDAES cores
from idaes.core import (ControlVolume0DBlock,
                        declare_process_block_class,
                        MaterialBalanceType,
                        EnergyBalanceType,
                        MomentumBalanceType,
                        UnitModelBlockData,
                        useDefault)
from idaes.core.util import get_solver
from idaes.core.util.config import is_physical_parameter_block
from idaes.core.util.exceptions import ConfigurationError
import idaes.core.util.scaling as iscale
import idaes.logger as idaeslog


_log = idaeslog.getLogger(__name__)


[docs]@declare_process_block_class("NanoFiltration0D") class NanoFiltrationData(UnitModelBlockData): """ Standard NF Unit Model Class: - zero dimensional model - steady state only - single liquid phase only """ CONFIG = ConfigBlock() CONFIG.declare("dynamic", ConfigValue( domain=In([False]), default=False, description="Dynamic model flag - must be False", doc="""Indicates whether this model will be dynamic or not, **default** = False. NF units do not support dynamic behavior.""")) CONFIG.declare("has_holdup", ConfigValue( default=False, domain=In([False]), description="Holdup construction flag - must be False", doc="""Indicates whether holdup terms should be constructed or not. **default** - False. NF units do not have defined volume, thus this must be False.""")) CONFIG.declare("material_balance_type", ConfigValue( default=MaterialBalanceType.useDefault, domain=In(MaterialBalanceType), description="Material balance construction flag", doc="""Indicates what type of mass balance should be constructed, **default** - MaterialBalanceType.useDefault. **Valid values:** { **MaterialBalanceType.useDefault - refer to property package for default balance type **MaterialBalanceType.none** - exclude material balances, **MaterialBalanceType.componentPhase** - use phase component balances, **MaterialBalanceType.componentTotal** - use total component balances, **MaterialBalanceType.elementTotal** - use total element balances, **MaterialBalanceType.total** - use total material balance.}""")) CONFIG.declare("energy_balance_type", ConfigValue( default=EnergyBalanceType.useDefault, domain=In(EnergyBalanceType), description="Energy balance construction flag", doc="""Indicates what type of energy balance should be constructed, **default** - EnergyBalanceType.useDefault. **Valid values:** { **EnergyBalanceType.useDefault - refer to property package for default balance type **EnergyBalanceType.none** - exclude energy balances, **EnergyBalanceType.enthalpyTotal** - single enthalpy balance for material, **EnergyBalanceType.enthalpyPhase** - enthalpy balances for each phase, **EnergyBalanceType.energyTotal** - single energy balance for material, **EnergyBalanceType.energyPhase** - energy balances for each phase.}""")) CONFIG.declare("momentum_balance_type", ConfigValue( default=MomentumBalanceType.pressureTotal, domain=In(MomentumBalanceType), description="Momentum balance construction flag", doc="""Indicates what type of momentum balance should be constructed, **default** - MomentumBalanceType.pressureTotal. **Valid values:** { **MomentumBalanceType.none** - exclude momentum balances, **MomentumBalanceType.pressureTotal** - single pressure balance for material, **MomentumBalanceType.pressurePhase** - pressure balances for each phase, **MomentumBalanceType.momentumTotal** - single momentum balance for material, **MomentumBalanceType.momentumPhase** - momentum balances for each phase.}""")) CONFIG.declare("has_pressure_change", ConfigValue( default=False, domain=In([True, False]), description="Pressure change term construction flag", doc="""Indicates whether terms for pressure change should be constructed, **default** - False. **Valid values:** { **True** - include pressure change terms, **False** - exclude pressure change terms.}""")) CONFIG.declare("property_package", ConfigValue( default=useDefault, domain=is_physical_parameter_block, description="Property package to use for control volume", doc="""Property parameter object used to define property calculations, **default** - useDefault. **Valid values:** { **useDefault** - use default package from parent model or flowsheet, **PhysicalParameterObject** - a PhysicalParameterBlock object.}""")) CONFIG.declare("property_package_args", ConfigBlock( implicit=True, description="Arguments to use for constructing property packages", doc="""A ConfigBlock with arguments to be passed to a property block(s) and used when constructing these, **default** - None. **Valid values:** { see property package for documentation.}"""))
[docs] def build(self): # Call UnitModel.build to setup dynamics super().build() self.scaling_factor = Suffix(direction=Suffix.EXPORT) if (len(self.config.property_package.phase_list) > 1 or 'Liq' not in [p for p in self.config.property_package.phase_list]): raise ConfigurationError( "NF model only supports one liquid phase ['Liq']," "the property package has specified the following phases {}" .format([p for p in self.config.property_package.phase_list])) units_meta = self.config.property_package.get_metadata().get_derived_units # TODO: update IDAES such that solvent and solute lists are automatically created on the parameter block self.solvent_list = Set() self.solute_list = Set() for c in self.config.property_package.component_list: comp = self.config.property_package.get_component(c) try: if comp.is_solvent(): self.solvent_list.add(c) if comp.is_solute(): self.solute_list.add(c) except TypeError: raise ConfigurationError("NF model only supports one solvent and one or more solutes," "the provided property package has specified a component '{}' " "that is not a solvent or solute".format(c)) if len(self.solvent_list) > 1: raise ConfigurationError("NF model only supports one solvent component," "the provided property package has specified {} solvent components" .format(len(self.solvent_list))) # Add unit parameters self.A_comp = Var( self.flowsheet().config.time, self.solvent_list, initialize=1e-12, bounds=(1e-18, 1e-6), domain=NonNegativeReals, units=units_meta('length')*units_meta('pressure')**-1*units_meta('time')**-1, doc='Solvent permeability coeff.') self.B_comp = Var( self.flowsheet().config.time, self.solute_list, initialize=1e-8, bounds=(1e-11, 1e-5), domain=NonNegativeReals, units=units_meta('length')*units_meta('time')**-1, doc='Solute permeability coeff.') self.sigma = Var( self.flowsheet().config.time, initialize=0.5, bounds=(1e-8, 1e6), domain=NonNegativeReals, units=pyunits.dimensionless, doc='Reflection coefficient') self.dens_solvent = Param( initialize=1000, units=units_meta('mass')*units_meta('length')**-3, doc='Pure water density') # Add unit variables self.flux_mass_phase_comp_in = Var( self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, initialize=1e-3, bounds=(1e-12, 1e6), units=units_meta('mass')*units_meta('length')**-2*units_meta('time')**-1, doc='Flux at feed inlet') self.flux_mass_phase_comp_out = Var( self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, initialize=1e-3, bounds=(1e-12, 1e6), units=units_meta('mass')*units_meta('length')**-2*units_meta('time')**-1, doc='Flux at feed outlet') self.avg_conc_mass_phase_comp_in = Var( self.flowsheet().config.time, self.config.property_package.phase_list, self.solute_list, initialize=1e-3, bounds=(1e-8, 1e6), domain=NonNegativeReals, units=units_meta('mass')*units_meta('length')**-3, doc='Average solute concentration at feed inlet') self.avg_conc_mass_phase_comp_out = Var( self.flowsheet().config.time, self.config.property_package.phase_list, self.solute_list, initialize=1e-3, bounds=(1e-8, 1e6), domain=NonNegativeReals, units=units_meta('mass')*units_meta('length')**-3, doc='Average solute concentration at feed outlet') self.area = Var( initialize=1, bounds=(1e-8, 1e6), domain=NonNegativeReals, units=units_meta('length') ** 2, doc='Membrane area') # Build control volume for feed side self.feed_side = ControlVolume0DBlock(default={ "dynamic": False, "has_holdup": False, "property_package": self.config.property_package, "property_package_args": self.config.property_package_args}) self.feed_side.add_state_blocks( has_phase_equilibrium=False) self.feed_side.add_material_balances( balance_type=self.config.material_balance_type, has_mass_transfer=True) self.feed_side.add_energy_balances( balance_type=self.config.energy_balance_type, has_enthalpy_transfer=True) self.feed_side.add_momentum_balances( balance_type=self.config.momentum_balance_type, has_pressure_change=self.config.has_pressure_change) # Add permeate block tmp_dict = dict(**self.config.property_package_args) tmp_dict["has_phase_equilibrium"] = False tmp_dict["parameters"] = self.config.property_package tmp_dict["defined_state"] = False # permeate block is not an inlet self.properties_permeate = self.config.property_package.state_block_class( self.flowsheet().config.time, doc="Material properties of permeate", default=tmp_dict) # Add Ports self.add_inlet_port(name='inlet', block=self.feed_side) self.add_outlet_port(name='retentate', block=self.feed_side) self.add_port(name='permeate', block=self.properties_permeate) # References for control volume # pressure change if (self.config.has_pressure_change is True and self.config.momentum_balance_type != 'none'): self.deltaP = Reference(self.feed_side.deltaP) # mass transfer self.mass_transfer_phase_comp = Var( self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, initialize=1, bounds=(1e-8, 1e6), domain=NonNegativeReals, units=units_meta('mass')*units_meta('time')**-1, doc='Mass transfer to permeate') @self.Constraint(self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, doc="Mass transfer term") def eq_mass_transfer_term(self, t, p, j): return self.mass_transfer_phase_comp[t, p, j] == -self.feed_side.mass_transfer_term[t, p, j] # NF performance equations @self.Expression(self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, doc="Average flux expression") def flux_mass_phase_comp_avg(b, t, p, j): return 0.5 * (b.flux_mass_phase_comp_in[t, p, j] + b.flux_mass_phase_comp_out[t, p, j]) @self.Constraint(self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, doc="Permeate production") def eq_permeate_production(b, t, p, j): return (b.properties_permeate[t].get_material_flow_terms(p, j) == b.area * b.flux_mass_phase_comp_avg[t, p, j]) @self.Constraint(self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, doc="Inlet water and salt flux") def eq_flux_in(b, t, p, j): prop_feed = b.feed_side.properties_in[t] prop_perm = b.properties_permeate[t] comp = self.config.property_package.get_component(j) if comp.is_solvent(): return (b.flux_mass_phase_comp_in[t, p, j] == b.A_comp[t, j] * b.dens_solvent * ((prop_feed.pressure - prop_perm.pressure) - b.sigma[t] * (prop_feed.pressure_osm - prop_perm.pressure_osm))) elif comp.is_solute(): return (b.flux_mass_phase_comp_in[t, p, j] == b.B_comp[t, j] * (prop_feed.conc_mass_phase_comp[p, j] - prop_perm.conc_mass_phase_comp[p, j]) + ((1 - b.sigma[t]) * b.flux_mass_phase_comp_in[t, p, j] * 1 / b.dens_solvent * b.avg_conc_mass_phase_comp_in[t, p, j]) ) @self.Constraint(self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, doc="Outlet water and salt flux") def eq_flux_out(b, t, p, j): prop_feed = b.feed_side.properties_out[t] prop_perm = b.properties_permeate[t] comp = self.config.property_package.get_component(j) if comp.is_solvent(): return (b.flux_mass_phase_comp_out[t, p, j] == b.A_comp[t, j] * b.dens_solvent * ((prop_feed.pressure - prop_perm.pressure) - b.sigma[t] * (prop_feed.pressure_osm - prop_perm.pressure_osm))) elif comp.is_solute(): return (b.flux_mass_phase_comp_out[t, p, j] == b.B_comp[t, j] * (prop_feed.conc_mass_phase_comp[p, j] - prop_perm.conc_mass_phase_comp[p, j]) + ((1 - b.sigma[t]) * b.flux_mass_phase_comp_out[t, p, j] * 1 / b.dens_solvent * b.avg_conc_mass_phase_comp_out[t, p, j]) ) # Average concentration # COMMENT: Chen approximation of logarithmic average implemented @self.Constraint(self.flowsheet().config.time, self.config.property_package.phase_list, self.solute_list, doc="Average inlet concentration") def eq_avg_conc_in(b, t, p, j): prop_feed = b.feed_side.properties_in[t] prop_perm = b.properties_permeate[t] return (b.avg_conc_mass_phase_comp_in[t, p, j] == (prop_feed.conc_mass_phase_comp[p, j] * prop_perm.conc_mass_phase_comp[p, j] * (prop_feed.conc_mass_phase_comp[p, j] + prop_perm.conc_mass_phase_comp[p, j])/2)**(1/3)) @self.Constraint(self.flowsheet().config.time, self.config.property_package.phase_list, self.solute_list, doc="Average inlet concentration") def eq_avg_conc_out(b, t, p, j): prop_feed = b.feed_side.properties_out[t] prop_perm = b.properties_permeate[t] return (b.avg_conc_mass_phase_comp_out[t, p, j] == (prop_feed.conc_mass_phase_comp[p, j] * prop_perm.conc_mass_phase_comp[p, j] * (prop_feed.conc_mass_phase_comp[p, j] + prop_perm.conc_mass_phase_comp[p, j])/2)**(1/3)) # Feed and permeate-side connection @self.Constraint(self.flowsheet().config.time, self.config.property_package.phase_list, self.config.property_package.component_list, doc="Mass transfer from feed to permeate") def eq_connect_mass_transfer(b, t, p, j): return (b.properties_permeate[t].get_material_flow_terms(p, j) == -b.feed_side.mass_transfer_term[t, p, j]) @self.Constraint(self.flowsheet().config.time, doc="Enthalpy transfer from feed to permeate") def eq_connect_enthalpy_transfer(b, t): return (b.properties_permeate[t].get_enthalpy_flow_terms('Liq') == -b.feed_side.enthalpy_transfer[t]) @self.Constraint(self.flowsheet().config.time, doc="Isothermal assumption for permeate") def eq_permeate_isothermal(b, t): return b.feed_side.properties_out[t].temperature == \ b.properties_permeate[t].temperature
[docs] def initialize( blk, state_args=None, outlvl=idaeslog.NOTSET, solver=None, optarg=None): """ General wrapper for pressure changer initialization routines Keyword Arguments: state_args : a dict of arguments to be passed to the property package(s) to provide an initial state for initialization (see documentation of the specific property package) (default = {}). outlvl : sets output level of initialization routine optarg : solver options dictionary object (default=None) solver : str indicating which solver to use during initialization (default = None) Returns: None """ init_log = idaeslog.getInitLogger(blk.name, outlvl, tag="unit") solve_log = idaeslog.getSolveLogger(blk.name, outlvl, tag="unit") # Set solver options opt = get_solver(solver, optarg) # --------------------------------------------------------------------- # Initialize holdup block flags = blk.feed_side.initialize( outlvl=outlvl, optarg=optarg, solver=solver, state_args=state_args, ) init_log.info_high("Initialization Step 1 Complete.") # --------------------------------------------------------------------- # Initialize permeate # Set state_args from inlet state if state_args is None: state_args = {} state_dict = blk.feed_side.properties_in[ blk.flowsheet().config.time.first()].define_port_members() for k in state_dict.keys(): if state_dict[k].is_indexed(): state_args[k] = {} for m in state_dict[k].keys(): state_args[k][m] = state_dict[k][m].value else: state_args[k] = state_dict[k].value blk.properties_permeate.initialize( outlvl=outlvl, optarg=optarg, solver=solver, state_args=state_args, ) init_log.info_high("Initialization Step 2 Complete.") # --------------------------------------------------------------------- # Solve unit with idaeslog.solver_log(solve_log, idaeslog.DEBUG) as slc: res = opt.solve(blk, tee=slc.tee) init_log.info_high( "Initialization Step 3 {}.".format(idaeslog.condition(res))) # --------------------------------------------------------------------- # Release Inlet state blk.feed_side.release_state(flags, outlvl + 1) init_log.info( "Initialization Complete: {}".format(idaeslog.condition(res)) )
def _get_performance_contents(self, time_point=0): # TODO: make a unit specific stream table var_dict = {} if hasattr(self, "deltaP"): var_dict["Pressure Change"] = self.deltaP[time_point] return {"vars": var_dict} def get_costing(self, module=None, **kwargs): self.costing = Block() module.NanoFiltration_costing(self.costing, **kwargs) def calculate_scaling_factors(self): super().calculate_scaling_factors() # TODO: require users to set scaling factor for area or calculate it based on mass transfer and flux iscale.set_scaling_factor(self.area, 1e-1) # setting scaling factors for variables # these variables should have user input, if not there will be a warning if iscale.get_scaling_factor(self.area) is None: sf = iscale.get_scaling_factor(self.area, default=1, warning=True) iscale.set_scaling_factor(self.area, sf) # these variables do not typically require user input, # will not override if the user does provide the scaling factor if iscale.get_scaling_factor(self.A_comp) is None: iscale.set_scaling_factor(self.A_comp, 1e11) if iscale.get_scaling_factor(self.B_comp) is None: iscale.set_scaling_factor(self.B_comp, 1e5) if iscale.get_scaling_factor(self.sigma) is None: iscale.set_scaling_factor(self.sigma, 1) if iscale.get_scaling_factor(self.dens_solvent) is None: sf = iscale.get_scaling_factor(self.feed_side.properties_in[0].dens_mass_phase['Liq']) iscale.set_scaling_factor(self.dens_solvent, sf) for vobj in [self.flux_mass_phase_comp_in, self.flux_mass_phase_comp_out]: for (t, p, j), v in vobj.items(): if iscale.get_scaling_factor(v) is None: comp = self.config.property_package.get_component(j) if comp.is_solvent(): # scaling based on solvent flux equation sf = (iscale.get_scaling_factor(self.A_comp[t, j]) * iscale.get_scaling_factor(self.dens_solvent) * iscale.get_scaling_factor(self.feed_side.properties_in[t].pressure)) iscale.set_scaling_factor(v, sf) elif comp.is_solute(): # scaling based on solute flux equation sf = (iscale.get_scaling_factor(self.B_comp[t, j]) * iscale.get_scaling_factor(self.feed_side.properties_in[t].conc_mass_phase_comp[p, j])) iscale.set_scaling_factor(v, sf) for vobj in [self.avg_conc_mass_phase_comp_in, self.avg_conc_mass_phase_comp_out]: for (t, p, j), v in vobj.items(): if iscale.get_scaling_factor(v) is None: sf = iscale.get_scaling_factor(self.feed_side.properties_in[t].conc_mass_phase_comp[p, j]) iscale.set_scaling_factor(v, sf) for (t, p, j), v in self.feed_side.mass_transfer_term.items(): if iscale.get_scaling_factor(v) is None: sf = iscale.get_scaling_factor(self.feed_side.properties_in[t].get_material_flow_terms(p, j)) comp = self.config.property_package.get_component(j) if comp.is_solute: sf *= 1e2 # solute typically has mass transfer 2 orders magnitude less than flow iscale.set_scaling_factor(v, sf) for (t, p, j), v in self.mass_transfer_phase_comp.items(): if iscale.get_scaling_factor(v) is None: sf = iscale.get_scaling_factor(self.feed_side.properties_in[t].get_material_flow_terms(p, j)) comp = self.config.property_package.get_component(j) if comp.is_solute: sf *= 1e2 # solute typically has mass transfer 2 orders magnitude less than flow iscale.set_scaling_factor(v, sf) # TODO: update IDAES control volume to scale mass_transfer and enthalpy_transfer for ind, v in self.feed_side.mass_transfer_term.items(): (t, p, j) = ind if iscale.get_scaling_factor(v) is None: sf = iscale.get_scaling_factor(self.feed_side.mass_transfer_term[t, p, j]) iscale.constraint_scaling_transform(self.feed_side.material_balances[t, j], sf) for t, v in self.feed_side.enthalpy_transfer.items(): if iscale.get_scaling_factor(v) is None: sf = (iscale.get_scaling_factor(self.feed_side.properties_in[t].enth_flow)) iscale.set_scaling_factor(v, sf) iscale.constraint_scaling_transform(self.feed_side.enthalpy_balances[t], sf) # transforming constraints for ind, c in self.eq_mass_transfer_term.items(): sf = iscale.get_scaling_factor(self.mass_transfer_phase_comp[ind]) iscale.constraint_scaling_transform(c, sf) for ind, c in self.eq_permeate_production.items(): sf = iscale.get_scaling_factor(self.mass_transfer_phase_comp[ind]) iscale.constraint_scaling_transform(c, sf) for ind, c in self.eq_flux_in.items(): sf = iscale.get_scaling_factor(self.flux_mass_phase_comp_in[ind]) iscale.constraint_scaling_transform(c, sf) for ind, c in self.eq_flux_out.items(): sf = iscale.get_scaling_factor(self.flux_mass_phase_comp_out[ind]) iscale.constraint_scaling_transform(c, sf) for ind, c in self.eq_avg_conc_in.items(): sf = iscale.get_scaling_factor(self.avg_conc_mass_phase_comp_in[ind]) iscale.constraint_scaling_transform(c, sf) for ind, c in self.eq_avg_conc_out.items(): sf = iscale.get_scaling_factor(self.avg_conc_mass_phase_comp_out[ind]) iscale.constraint_scaling_transform(c, sf) for ind, c in self.eq_connect_mass_transfer.items(): sf = iscale.get_scaling_factor(self.mass_transfer_phase_comp[ind]) iscale.constraint_scaling_transform(c, sf) for ind, c in self.eq_connect_enthalpy_transfer.items(): sf = iscale.get_scaling_factor(self.feed_side.enthalpy_transfer[ind]) iscale.constraint_scaling_transform(c, sf) for t, c in self.eq_permeate_isothermal.items(): sf = iscale.get_scaling_factor(self.feed_side.properties_in[t].temperature) iscale.constraint_scaling_transform(c, sf)