def build(self): super().build() self._tech_type = "sedimentation" build_sido(self) constant_intensity(self) # TODO: Does it really make sense for this to be indexed by time? self.basin_surface_area = Var(self.flowsheet().config.time, units=pyunits.ft**2, doc="Surface area of sedimentation tank") self.settling_velocity = Var(self.flowsheet().config.time, units=pyunits.m/pyunits.s) self._fixed_perf_vars.append(self.settling_velocity) self._perf_var_dict["Basin Surface Area (ft^2)"] = self.basin_surface_area self._perf_var_dict["Settling Velocity (m/s)"] = self.settling_velocity def rule_basin_surface_area(b, t): return (b.basin_surface_area[t] == pyunits.convert( b.properties_in[t].flow_vol / b.settling_velocity[t], to_units=pyunits.ft**2)) self.basin_surface_area_constraint = Constraint( self.flowsheet().time, rule=rule_basin_surface_area)
def build(self): super().build() self._tech_type = "bioreactor" build_siso(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "microfiltration" build_sido(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "landfill_zld" build_pt(self) constant_intensity(self) self.capacity_basis = Var(self.flowsheet().time, units=pyunits.kg/pyunits.hr, doc="capacity basis for capital cost") self.total_mass = Var(self.flowsheet().time, units=pyunits.kg/pyunits.hr, doc="total mass flow rate") self._fixed_perf_vars.append(self.capacity_basis) @self.Constraint(self.flowsheet().time, doc='Total mass constraint') def total_mass_constraint(b, t): return b.total_mass[t] == sum(pyunits.convert(b.inlet.flow_mass_comp[t, m], to_units=pyunits.kg/pyunits.hr) for m in b.config.property_package.component_list) self._perf_var_dict["Capacity Basis (kg/hr)"] = self.capacity_basis self._perf_var_dict["Total Mass (kg/hr)"] = self.total_mass
def build(self): super().build() self._tech_type = "bio_active_filtration" build_sido(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "dissolved_air_flotation" build_sido(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "intrusion_mitigation" build_pt(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "co2_addition" build_pt(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "primary_separator" build_sido(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "anaerobic_digestion_oxidation" build_sido(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "feed_water_tank" build_pt(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "aeration_basin" build_sido(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "energy_recovery" build_pt(self) constant_intensity(self) self.electricity.setlb(None) self.electricity.setub(0)
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 = "anaerobic_mbr_mec" if "nonbiodegradable_cod" not in self.config.property_package.solute_set: raise ValueError( "nonbiodegradable_cod must be included in the solute list since" " this unit model converts cod to nonbiodegradable_cod.") build_sido_reactive(self) constant_intensity(self)
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 model(self): m = ConcreteModel() m.fs = FlowsheetBlock(default={"dynamic": False}) m.fs.water_props = WaterParameterBlock(default={"solute_list": ["A", "B", "C"]}) m.fs.unit = DerivedZO(default={"property_package": m.fs.water_props}) constant_intensity(m.fs.unit) m.fs.unit.energy_electric_flow_vol_inlet.fix(10) return m
def build(self): super().build() self._tech_type = "cofermentation" # TODO: consider making a diso_reactive build function and adding conditional for # cod/nonbiodegradable cod to be in solute set. For now, unit assumes any solutes provided are # cod with a removal fraction to get the final ffCOD (i.e., (1-removal_frac)*mass_cod_in = mass_ffCOD if "cod" not in self.config.property_package.solute_set: raise ValueError( "cod must be included in the solute list since" " this unit model converts cod to nonbiodegradable_cod.") build_diso(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "mabr" build_sido_reactive(self) constant_intensity(self) self.blower_size = Var( units=pyunits.m**2, bounds=(0, None), doc="Sizing variable for blower size", ) self._fixed_perf_vars.append(self.blower_size) self._perf_var_dict["Blower Size (m^2)"] = self.blower_size
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 = "static_mixer" build_pt(self) constant_intensity(self)
def build(self): super().build() self._tech_type = "sedimentation" build_sido(self) constant_intensity(self) # TODO: Does it really make sense for this to be indexed by time? self.basin_surface_area = Var( self.flowsheet().config.time, units=pyunits.ft**2, doc="Surface area of sedimentation tank", ) self.settling_velocity = Var( self.flowsheet().config.time, units=pyunits.m / pyunits.s, doc="Particle settling velocity", ) self._fixed_perf_vars.append(self.settling_velocity) self._perf_var_dict[ "Basin Surface Area (ft^2)"] = self.basin_surface_area self._perf_var_dict["Settling Velocity (m/s)"] = self.settling_velocity def rule_basin_surface_area(b, t): return b.basin_surface_area[t] == pyunits.convert( b.properties_in[t].flow_vol / b.settling_velocity[t], to_units=pyunits.ft**2, ) self.basin_surface_area_constraint = Constraint( self.flowsheet().time, rule=rule_basin_surface_area) if self.config.process_subtype == "phosphorus_capture": self.phosphorus_solids_ratio = Var( self.flowsheet().config.time, units=pyunits.dimensionless, doc="Mass fraction of phosphorus in settleable solids", ) self._fixed_perf_vars.append(self.phosphorus_solids_ratio) self._perf_var_dict[ "Phosphorus-Solids Ratio (kg/kg)"] = self.phosphorus_solids_ratio # This subtype is intended to be used explicitly for phosphorous capture. # If the user provides TSS, the amount of settled phosphate would be determined based on # an assumed fraction of phosphate in TSS. Alternatively, the user could provide phosphates # as the species, and the amount of solids + phosphate settled would be reported. # However, the user cannot provide both TSS and phosphates. if ("phosphates" in self.config.property_package.solute_set and "tss" in self.config.property_package.solute_set): raise KeyError( "tss and phosphates cannot both be defined in the solute_list. " "Please choose one.") elif "phosphates" in self.config.property_package.solute_set: self.final_solids_mass = Var( self.flowsheet().config.time, units=pyunits.kg / pyunits.s, doc="Solids mass flow in byproduct stream", ) @self.Constraint( self.flowsheet().time, doc="Solids mass flow in byproduct stream constraint", ) def solids_mass_flow_constraint(b, t): return (b.final_solids_mass[t] == b.properties_byproduct[t] .flow_mass_comp["phosphates"] / b.phosphorus_solids_ratio[t]) self._perf_var_dict[ "Final mass flow of settled solids (kg/s)"] = self.final_solids_mass elif "tss" in self.config.property_package.solute_set: self.final_phosphate_mass = Var( self.flowsheet().config.time, units=pyunits.kg / pyunits.s, doc="Phosphate mass flow in byproduct stream", ) @self.Constraint( self.flowsheet().time, doc="Phosphate mass flow in byproduct stream constraint", ) def phosphate_mass_flow_constraint(b, t): return (b.final_phosphate_mass[t] == b.properties_byproduct[t].flow_mass_comp["tss"] * b.phosphorus_solids_ratio[t]) self._perf_var_dict[ "Final mass flow of settled phosphate (kg/s)"] = self.final_phosphate_mass else: # Raise this error in case the user is intended to make use of the subtype but entered # the wrong component names. raise KeyError( "One of the following should be specified in the solute_list: " "tss or phosphates")
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, )