###############################################################################
# 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/"
#
###############################################################################
"""
This module contains a zero-order representation of an electrochemical nutrient recovery unit.
"""
from pyomo.environ import units as pyunits, Var
from idaes.core import declare_process_block_class
from watertap.core import build_sido_reactive, ZeroOrderBaseData
# Some more information about this module
__author__ = "Chenyu Wang"
[docs]@declare_process_block_class("ElectroNPZO")
class ElectroNPZOData(ZeroOrderBaseData):
"""
Zero-Order model for an electrochemical nutrient recovery unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "electrochemical_nutrient_removal"
build_sido_reactive(self)
self.electricity = Var(
self.flowsheet().time,
units=pyunits.kW,
bounds=(0, None),
doc="Electricity consumption of unit",
)
self._perf_var_dict["Electricity Demand"] = self.electricity
self.energy_electric_flow_mass = Var(
units=pyunits.kWh / pyunits.kg,
doc="Electricity intensity with respect to struvite byproduct flowrate of unit",
)
@self.Constraint(
self.flowsheet().time,
doc="Constraint for electricity consumption based on struvite flowrate.",
)
def electricity_consumption(b, t):
return b.electricity[t] == (
b.energy_electric_flow_mass
* pyunits.convert(
b.properties_byproduct[t].flow_mass_comp["struvite"],
to_units=pyunits.kg / pyunits.hour,
)
)
self._fixed_perf_vars.append(self.energy_electric_flow_mass)
self._perf_var_dict["Electricity Intensity"] = self.energy_electric_flow_mass
self.magnesium_chloride_dosage = Var(
units=pyunits.dimensionless,
bounds=(0, None),
doc="Dosage of magnesium chloride per struvite",
)
self._fixed_perf_vars.append(self.magnesium_chloride_dosage)
self._perf_var_dict[
"Dosage of magnesium chloride per struvite"
] = self.magnesium_chloride_dosage
self.MgCl2_flowrate = Var(
self.flowsheet().time,
units=pyunits.kg / pyunits.hr,
bounds=(0, None),
doc="Magnesium chloride flowrate",
)
self._perf_var_dict["Magnesium Chloride Demand"] = self.MgCl2_flowrate
@self.Constraint(
self.flowsheet().time,
doc="Constraint for magnesium chloride demand based on struvite flowrate.",
)
def MgCl2_demand(b, t):
return b.MgCl2_flowrate[t] == (
b.magnesium_chloride_dosage
* pyunits.convert(
b.properties_byproduct[t].flow_mass_comp["struvite"],
to_units=pyunits.kg / pyunits.hour,
)
)