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)