###############################################################################
# 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 hydrothermal gasification 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("HTGZO")
class HTGZOData(ZeroOrderBaseData):
"""
Zero-Order model for a hydrothermal gasification (HTG) unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "hydrothermal_gasification"
build_sido_reactive(self)
self.flow_mass_in = Var(
self.flowsheet().time,
units=pyunits.t / pyunits.hour,
bounds=(0, None),
doc="Inlet mass flowrate",
)
@self.Constraint(
self.flowsheet().time,
doc="Constraint for inlet mass flowrate.",
)
def cons_flow_mass(b, t):
return b.flow_mass_in[t] == pyunits.convert(
sum(
b.properties_in[t].flow_mass_comp[j]
for j in b.properties_in[t].component_list
),
to_units=pyunits.t / pyunits.hour,
)
self._perf_var_dict["Inlet Mass Flowrate"] = self.flow_mass_in
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.t,
doc="Electricity intensity with respect to inlet flowrate",
)
@self.Constraint(
self.flowsheet().time,
doc="Constraint for electricity consumption based on inlet flowrate.",
)
def electricity_consumption(b, t):
return b.electricity[t] == pyunits.convert(
b.energy_electric_flow_mass * b.flow_mass_in[t], to_units=pyunits.kW
)
self._fixed_perf_vars.append(self.energy_electric_flow_mass)
self._perf_var_dict["Electricity Intensity"] = self.energy_electric_flow_mass
self.catalyst_dosage = Var(
units=pyunits.pound / pyunits.t,
bounds=(0, None),
doc="Dosage of catalyst per inlet flow",
)
self._fixed_perf_vars.append(self.catalyst_dosage)
self._perf_var_dict["Dosage of catalyst per inlet flow"] = self.catalyst_dosage
self.catalyst_flow = Var(
self.flowsheet().time,
units=pyunits.pound / pyunits.hr,
bounds=(0, None),
doc="Catalyst flow",
)
self._perf_var_dict["Catalyst flow"] = self.catalyst_flow
@self.Constraint(
self.flowsheet().time,
doc="Constraint for catalyst flow based on inlet flow rate.",
)
def eq_catalyst_flow(b, t):
return b.catalyst_flow[t] == pyunits.convert(
b.catalyst_dosage * b.flow_mass_in[t],
to_units=pyunits.pound / pyunits.hr,
)