###############################################################################
# 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 granular activated carbon unit
operation.
"""
from pyomo.environ import units as pyunits, Var
from idaes.core import declare_process_block_class
from watertap.core import build_sido, ZeroOrderBaseData
# Some more information about this module
__author__ = "Adam Atia"
[docs]@declare_process_block_class("GACZO")
class GACZOData(ZeroOrderBaseData):
"""
Zero-Order model for a granular activated carbon unit operation.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "gac"
build_sido(self)
# Empty Bed Contact Time
self.empty_bed_contact_time = Var(
units=pyunits.hour, bounds=(0, None), doc="Empty bed contact time of unit"
)
self._fixed_perf_vars.append(self.empty_bed_contact_time)
self._perf_var_dict["Empty Bed Contact Time"] = self.empty_bed_contact_time
# Electricity Demand
self.electricity = Var(
self.flowsheet().time,
units=pyunits.kW,
bounds=(0, None),
doc="Electricity consumption of unit",
)
self.electricity_intensity_parameter = Var(
units=pyunits.kW / pyunits.m**3,
doc="Parameter for calculating electricity based on empty bed "
"contact time",
)
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(doc="Electricity intensity based on empty bed contact time.")
def electricity_intensity_constraint(b):
return (
b.energy_electric_flow_vol_inlet
== b.electricity_intensity_parameter * b.empty_bed_contact_time
)
@self.Constraint(
self.flowsheet().time,
doc="Constraint for electricity consumption based on " "feed flowrate.",
)
def electricity_consumption(b, t):
return b.electricity[t] == (
b.energy_electric_flow_vol_inlet
* pyunits.convert(
b.get_inlet_flow(t), to_units=pyunits.m**3 / pyunits.hour
)
)
self._fixed_perf_vars.append(self.electricity_intensity_parameter)
self._perf_var_dict["Electricity Demand"] = self.electricity
self._perf_var_dict[
"Electricity Intensity"
] = self.energy_electric_flow_vol_inlet
# Demand for activated carbon
self.activated_carbon_replacement = Var(
units=pyunits.kg / pyunits.m**3,
bounds=(0, None),
doc="Replacement rate of activated carbon",
)
self.activated_carbon_demand = Var(
self.flowsheet().time,
units=pyunits.kg / pyunits.hour,
bounds=(0, None),
doc="Demand for activated carbon",
)
@self.Constraint(
self.flowsheet().time, doc="Constraint for activated carbon consumption."
)
def activated_carbon_equation(b, t):
return b.activated_carbon_demand[t] == (
b.activated_carbon_replacement
* pyunits.convert(
b.get_inlet_flow(t), to_units=pyunits.m**3 / pyunits.hour
)
)
self._fixed_perf_vars.append(self.activated_carbon_replacement)
self._perf_var_dict["Activated Carbon Demand"] = self.activated_carbon_demand