def build(self): super().build() self._tech_type = "bioreactor" build_siso(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "decarbonator" build_siso(self) constant_intensity(self) self.recovery_frac_mass_H2O.fix(1)
def build(self): super().build() self._tech_type = "fixed_bed" build_siso(self) self._Q = Reference(self.properties_in[:].flow_vol) # TODO: incorporate a*Q**b relationship for electricity consumption based on EPA data fitting; # apply pump electricity consumption in the meantime pump_electricity(self, self._Q) self.recovery_frac_mass_H2O.fix(1)
def build(self): super().build() self._tech_type = "chlorination" build_siso(self) constant_intensity(self) self.initial_chlorine_demand = Var( self.flowsheet().time, units=pyunits.mg / pyunits.liter, doc="Initial chlorine demand", ) self.contact_time = Var(self.flowsheet().time, units=pyunits.hour, doc="Chlorine contact time") self.concentration_time = Var( self.flowsheet().time, units=(pyunits.mg * pyunits.minute) / pyunits.liter, doc="CT value for chlorination", ) self.chlorine_decay_rate = Var( self.flowsheet().time, units=pyunits.mg / (pyunits.L * pyunits.hour), doc="Chlorine decay rate", ) self.recovery_frac_mass_H2O.fix(1) self._fixed_perf_vars.append(self.initial_chlorine_demand) self._fixed_perf_vars.append(self.contact_time) self._fixed_perf_vars.append(self.concentration_time) self._fixed_perf_vars.append(self.chlorine_decay_rate) self.chlorine_dose = Var(self.flowsheet().time, units=pyunits.mg / pyunits.L, doc="Chlorine dose") @self.Constraint(self.flowsheet().time, doc="Chlorine dose constraint") def chlorine_dose_constraint(b, t): return b.chlorine_dose[t] == self.initial_chlorine_demand[ t] + self.chlorine_decay_rate[t] * self.contact_time[t] + ( self.concentration_time[t] / pyunits.convert( self.contact_time[t], to_units=pyunits.minute)) self._perf_var_dict["Chlorine Dose (mg/L)"] = self.chlorine_dose self._perf_var_dict[ "Initial Chlorine Demand (mg/L)"] = self.initial_chlorine_demand self._perf_var_dict["Contact Time (hr)"] = self.contact_time self._perf_var_dict["CT Value ((mg*min)/L)"] = self.concentration_time self._perf_var_dict[ "Chlorine Decay Rate (mg/(L*hr))"] = self.chlorine_decay_rate
def build(self): super().build() self._tech_type = "ion_exchange" build_siso(self) self._Q = Reference(self.properties_in[:].flow_vol) pump_electricity(self, self._Q) # mutable parameter; default value found in WT3 for anion exchange self.eta_pump.set_value(0.8) # mutable parameter; default value of 2 bar converted to feet head self.lift_height.set_value(69.91052 * pyunits.feet) self.recovery_frac_mass_H2O.fix(1) # Add variables and constraints for material requirements self.NaCl_flowrate = Var(self.flowsheet().time, initialize=1, units=pyunits.kg / pyunits.s, bounds=(0, None), doc="Flowrate of NaCl addition") self.NaCl_dose = Var(units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Dosage of NaCl addition") self._fixed_perf_vars.append(self.NaCl_dose) self._perf_var_dict["NaCl Addition"] = self.NaCl_flowrate @self.Constraint(self.flowsheet().time) def NaCl_constraint(blk, t): return (blk.NaCl_flowrate[t] == blk.NaCl_dose * blk.properties_in[t].flow_vol) self.resin_demand = Var(self.flowsheet().time, initialize=1, units=pyunits.kg / pyunits.s, bounds=(0, None), doc="Replacement rate of ion exchange resin") self.resin_replacement = Var( units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Resin replacement as a fuction of flow") self._fixed_perf_vars.append(self.resin_replacement) self._perf_var_dict["Resin Demand"] = self.resin_demand @self.Constraint(self.flowsheet().time) def resin_constraint(blk, t): return (blk.resin_demand[t] == blk.resin_replacement * blk.properties_in[t].flow_vol)
def build(self): super().build() self._tech_type = "uv" build_siso(self) constant_intensity(self) self.uv_reduced_equivalent_dose = Var(self.flowsheet().time, units=pyunits.mJ/pyunits.cm**2, doc="Reduced equivalent dosage") self.uv_transmittance_in = Var(self.flowsheet().time, units=pyunits.dimensionless, doc="UV transmittance of solution at UV reactor inlet") self.recovery_frac_mass_H2O.fix(1) self._fixed_perf_vars.append(self.uv_reduced_equivalent_dose) self._fixed_perf_vars.append(self.uv_transmittance_in) self._perf_var_dict["UV Reduced Equivalent Dosage (mJ/cm^2)"] = self.uv_reduced_equivalent_dose self._perf_var_dict["UV Transmittance of Feed"] = self.uv_transmittance_in
def build(self): super().build() self._tech_type = "ozonation" build_siso(self) if "toc" not in self.config.property_package.config.solute_list: raise ConfigurationError( "TOC must be in solute list for Ozonation or Ozone/AOP" ) self.contact_time = Var( self.flowsheet().time, units=pyunits.minute, doc="Ozone contact time" ) self.concentration_time = Var( self.flowsheet().time, units=(pyunits.mg * pyunits.minute) / pyunits.liter, doc="CT value for ozone contactor", ) self.mass_transfer_efficiency = Var( self.flowsheet().time, units=pyunits.dimensionless, doc="Ozone mass transfer efficiency", ) self.specific_energy_coeff = Var( self.flowsheet().time, units=pyunits.kWh / pyunits.lb, bounds=(0, None), doc="Specific energy consumption for ozone generation", ) self._fixed_perf_vars.append(self.contact_time) self._fixed_perf_vars.append(self.concentration_time) self._fixed_perf_vars.append(self.mass_transfer_efficiency) self._fixed_perf_vars.append(self.specific_energy_coeff) self.ozone_flow_mass = Var( self.flowsheet().time, initialize=1, bounds=(0, None), units=pyunits.lb / pyunits.hr, doc="Mass flow rate of ozone", ) self.ozone_consumption = Var( self.flowsheet().time, initialize=1, bounds=(0, None), units=pyunits.mg / pyunits.liter, doc="Ozone consumption", ) self.electricity = Var( self.flowsheet().time, initialize=1, bounds=(0, None), units=pyunits.kW, doc="Ozone generation power demand", ) @self.Constraint(self.flowsheet().time, doc="Ozone consumption constraint") def ozone_consumption_constraint(b, t): return ( b.ozone_consumption[t] == ( ( pyunits.convert( b.properties_in[t].conc_mass_comp["toc"], to_units=pyunits.mg / pyunits.liter, ) + self.concentration_time[t] / self.contact_time[t] ) ) / self.mass_transfer_efficiency[t] ) @self.Constraint(self.flowsheet().time, doc="Ozone mass flow constraint") def ozone_flow_mass_constraint(b, t): return b.ozone_flow_mass[t] == pyunits.convert( b.properties_in[t].flow_vol * b.ozone_consumption[t], to_units=pyunits.lb / pyunits.hr, ) @self.Constraint(self.flowsheet().time, doc="Ozone power constraint") def electricity_constraint(b, t): return b.electricity[t] == ( b.specific_energy_coeff[t] * b.ozone_flow_mass[t] ) self._perf_var_dict["Ozone Contact Time (min)"] = self.contact_time self._perf_var_dict["Ozone CT Value ((mg*min)/L)"] = self.concentration_time self._perf_var_dict[ "Ozone Mass Transfer Efficiency" ] = self.mass_transfer_efficiency self._perf_var_dict["Ozone Mass Flow (lb/hr)"] = self.ozone_flow_mass self._perf_var_dict["Ozone Unit Power Demand (kW)"] = self.electricity
def build(self): super().build() self._tech_type = "fixed_bed" build_siso(self) constant_intensity(self) self.recovery_frac_mass_H2O.fix(1) # Chemical demands self.acetic_acid_dose = Var( units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Dosing rate of acetic acid", ) self.phosphoric_acid_dose = Var( units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Dosing rate of phosphoric acid", ) self.ferric_chloride_dose = Var( units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Dosing rate of ferric chloride", ) self._fixed_perf_vars.append(self.acetic_acid_dose) self._fixed_perf_vars.append(self.phosphoric_acid_dose) self._fixed_perf_vars.append(self.ferric_chloride_dose) self.acetic_acid_demand = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, bounds=(0, None), doc="Consumption rate of acetic acid", ) self.phosphoric_acid_demand = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, bounds=(0, None), doc="Consumption rate of phosphoric acid", ) self.ferric_chloride_demand = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, bounds=(0, None), doc="Consumption rate of ferric chloride", ) self._perf_var_dict["Acetic Acid Demand"] = self.acetic_acid_demand self._perf_var_dict["Phosphoric Acid Demand"] = self.phosphoric_acid_demand self._perf_var_dict["Ferric Chlorided Demand"] = self.ferric_chloride_demand @self.Constraint(self.flowsheet().time, doc="Acetic acid demand constraint") def acetic_acid_demand_equation(b, t): return b.acetic_acid_demand[t] == pyunits.convert( b.acetic_acid_dose * b.properties_in[t].flow_vol, to_units=pyunits.kg / pyunits.hr, ) @self.Constraint(self.flowsheet().time, doc="Phosphoric acid demand constraint") def phosphoric_acid_demand_equation(b, t): return b.phosphoric_acid_demand[t] == pyunits.convert( b.phosphoric_acid_dose * b.properties_in[t].flow_vol, to_units=pyunits.kg / pyunits.hr, ) @self.Constraint(self.flowsheet().time, doc="Acetic acid demand constraint") def ferric_chloride_demand_equation(b, t): return b.ferric_chloride_demand[t] == pyunits.convert( b.ferric_chloride_dose * b.properties_in[t].flow_vol, to_units=pyunits.kg / pyunits.hr, ) # Activated Carbon demand self.activated_carbon_demand = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, bounds=(0, None), doc="Replacement rate for activated carbon", ) self.activated_carbon_parameter_a = Var( units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Pre-exponential factor for activated carbon demand", ) self.activated_carbon_parameter_b = Var( units=pyunits.dimensionless, bounds=(None, None), doc="Exponential factor for activated carbon demand", ) self._fixed_perf_vars.append(self.activated_carbon_parameter_a) self._fixed_perf_vars.append(self.activated_carbon_parameter_b) self._perf_var_dict["Activated Carbon Demand"] = self.activated_carbon_demand @self.Constraint( self.flowsheet().time, doc="Activated carbon demand constraint" ) def activated_carbon_demand_equation(b, t): return b.activated_carbon_demand[t] == pyunits.convert( b.activated_carbon_parameter_a * pyunits.convert( b.properties_in[t].flow_vol / (pyunits.m**3 / pyunits.hour), to_units=pyunits.dimensionless, ) ** b.activated_carbon_parameter_b * b.properties_in[t].flow_vol, to_units=pyunits.kg / pyunits.hr, ) # Sand demand self.sand_demand = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, bounds=(0, None), doc="Replacement rate for sand", ) self.sand_parameter_a = Var( units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Pre-exponential factor for sand demand", ) self.sand_parameter_b = Var( units=pyunits.dimensionless, bounds=(None, None), doc="Exponential factor for sand demand", ) self._fixed_perf_vars.append(self.sand_parameter_a) self._fixed_perf_vars.append(self.sand_parameter_b) self._perf_var_dict["Sand Demand"] = self.sand_demand @self.Constraint(self.flowsheet().time, doc="Sand demand constraint") def sand_demand_equation(b, t): return b.sand_demand[t] == pyunits.convert( b.sand_parameter_a * pyunits.convert( b.properties_in[t].flow_vol / (pyunits.m**3 / pyunits.hour), to_units=pyunits.dimensionless, ) ** b.sand_parameter_b * b.properties_in[t].flow_vol, to_units=pyunits.kg / pyunits.hr, ) # Anthracite demand self.anthracite_demand = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, bounds=(0, None), doc="Replacement rate for anthracite", ) self.anthracite_parameter_a = Var( units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Pre-exponential factor for anthracite demand", ) self.anthracite_parameter_b = Var( units=pyunits.dimensionless, bounds=(None, None), doc="Exponential factor for anthracite demand", ) self._fixed_perf_vars.append(self.anthracite_parameter_a) self._fixed_perf_vars.append(self.anthracite_parameter_b) self._perf_var_dict["Anthracite Demand"] = self.anthracite_demand @self.Constraint(self.flowsheet().time, doc="Anthracite demand constraint") def anthracite_demand_equation(b, t): return b.anthracite_demand[t] == pyunits.convert( b.anthracite_parameter_a * pyunits.convert( b.properties_in[t].flow_vol / (pyunits.m**3 / pyunits.hour), to_units=pyunits.dimensionless, ) ** b.anthracite_parameter_b * b.properties_in[t].flow_vol, to_units=pyunits.kg / pyunits.hr, ) # Cationic polymer demand self.cationic_polymer_demand = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, bounds=(0, None), doc="Replacement rate for cationic polymer", ) self.cationic_polymer_parameter_a = Var( units=pyunits.kg / pyunits.m**3, bounds=(0, None), doc="Pre-exponential factor for cationic polymer demand", ) self.cationic_polymer_parameter_b = Var( units=pyunits.dimensionless, bounds=(None, None), doc="Exponential factor for cationic polymer demand", ) self._fixed_perf_vars.append(self.cationic_polymer_parameter_a) self._fixed_perf_vars.append(self.cationic_polymer_parameter_b) self._perf_var_dict["Cationic Polymer Demand"] = self.cationic_polymer_demand @self.Constraint( self.flowsheet().time, doc="Cationic Polymer demand constraint" ) def cationic_polymer_demand_equation(b, t): return b.cationic_polymer_demand[t] == pyunits.convert( b.cationic_polymer_parameter_a * pyunits.convert( b.properties_in[t].flow_vol / (pyunits.m**3 / pyunits.hour), to_units=pyunits.dimensionless, ) ** b.cationic_polymer_parameter_b * b.properties_in[t].flow_vol, to_units=pyunits.kg / pyunits.hr, )
def build(self): super().build() self._tech_type = "constructed_wetlands" build_siso(self)