###############################################################################
# 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 a membrane aerated biofilm reactor 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("MABRZO")
class MABRZOData(ZeroOrderBaseData):
"""
Zero-Order model for a MABR unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "mabr"
build_sido_reactive(self)
self.nitrogen_removal_rate = Var(
units=pyunits.g / pyunits.m**2 / pyunits.day,
bounds=(0, None),
doc="Nitrogen removal rate per day",
)
self._fixed_perf_vars.append(self.nitrogen_removal_rate)
self.reactor_area = Var(
units=pyunits.m**2,
bounds=(0, None),
doc="Sizing variable for effective reactor area",
)
@self.Constraint(
self.flowsheet().time,
doc="Constraint for effective reactor area",
)
def reactor_area_constraint(b, t):
return b.reactor_area == pyunits.convert(
b.properties_treated[t].flow_mass_comp["ammonium_as_nitrogen"]
/ b.nitrogen_removal_rate,
to_units=pyunits.m**2,
)
self._perf_var_dict["Reactor Area"] = self.reactor_area
self.air_flow_rate = Var(
self.flowsheet().config.time,
units=pyunits.m**3 / pyunits.hour / pyunits.m**2,
bounds=(0, None),
doc="Air flow rate per area",
)
self._fixed_perf_vars.append(self.air_flow_rate)
self.air_flow_vol = Var(
self.flowsheet().config.time,
units=pyunits.m**3 / pyunits.hour,
bounds=(0, None),
doc="Volumetric air flow rate",
)
@self.Constraint(
self.flowsheet().time,
doc="Constraint for air flow",
)
def air_flow_constraint(b, t):
return b.air_flow_vol[t] == pyunits.convert(
b.air_flow_rate[t] * b.reactor_area,
to_units=pyunits.m**3 / pyunits.hour,
)
self._perf_var_dict["Volumetric Air Flow Rate"] = self.air_flow_vol
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_vol_inlet = Var(
units=pyunits.kWh / pyunits.m**3,
doc="Electricity intensity with respect to inlet flowrate of unit",
)
@self.Constraint(
self.flowsheet().time,
doc="Constraint for electricity consumption based on air flowrate.",
)
def electricity_consumption(b, t):
return b.electricity[t] == (
b.energy_electric_flow_vol_inlet
* pyunits.convert(
b.air_flow_vol[t], to_units=pyunits.m**3 / pyunits.hour
)
)
self._fixed_perf_vars.append(self.energy_electric_flow_vol_inlet)
self._perf_var_dict[
"Electricity Intensity"
] = self.energy_electric_flow_vol_inlet