###############################################################################
# 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 CANDO+P reactor unit.
"""
from pyomo.environ import Var, units as pyunits
from idaes.core import declare_process_block_class
from watertap.core import build_sido_reactive, ZeroOrderBaseData
# Some more information about this module
__author__ = "Travis Arnold"
[docs]@declare_process_block_class("CANDOPZO")
class CANDOPData(ZeroOrderBaseData):
"""
Zero-Order model for a CANDO+P reactor unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "CANDO_P"
build_sido_reactive(self)
# Create electricity variable
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
# Create electricity intensity variable and constraint. For this
# model, electricity demand is calculated based on the amount of
# nitrogen reacted.
# TODO The information I have says that this electricity consumption
# accounts pumping, oxygenation, and stirring. At some point,
# perhaps we should come back and adjust the model to account for
# pumping costs separately.
self.electricity_intensity_N = Var(
units=pyunits.kWh / pyunits.kg,
bounds=(0, None),
doc="Electricity demand per kg N reacted",
)
self._fixed_perf_vars.append(self.electricity_intensity_N)
self._perf_var_dict["Electricity Intensity"] = self.electricity_intensity_N
@self.Constraint(
self.flowsheet().time,
doc="Constraint for electricity consumption based on " "nitrogen consumed.",
)
def electricity_consumption(b, t):
return b.electricity[t] == (
pyunits.convert(
b.extent_of_reaction[t, "n_reaction"] * b.electricity_intensity_N,
to_units=pyunits.kW,
)
)
# Create oxygen demand variables and constraint. The amount of oxygen
# consumed is assumed to be a linear function of the amount of
# nitrogen reacted.
self.O2_demand = Var(
self.flowsheet().time,
units=pyunits.kg / pyunits.s,
bounds=(0, None),
doc="Oxygen demand",
)
self._perf_var_dict["Oxygen Demand"] = self.O2_demand
self.oxygen_nitrogen_ratio = Var(
units=pyunits.dimensionless,
bounds=(0, None),
doc="Oxygen consumed - nitrogen reacted ratio",
)
self._fixed_perf_vars.append(self.oxygen_nitrogen_ratio)
self._perf_var_dict[
"Oxygen consumed / nitrogen reacted ratio (mass basis)"
] = self.oxygen_nitrogen_ratio
@self.Constraint(
self.flowsheet().time, doc="Constraint for oxygen consumption."
)
def oxygen_consumption(b, t):
return b.O2_demand[t] == (
b.extent_of_reaction[t, "n_reaction"] * b.oxygen_nitrogen_ratio
)