#################################################################################
# WaterTAP Copyright (c) 2020-2024, 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 supercritical salt precipitation unit.
"""
import pyomo.environ as pyo
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__ = "Chenyu Wang"
[docs]@declare_process_block_class("SaltPrecipitationZO")
class SaltPrecipitationZOData(ZeroOrderBaseData):
"""
Zero-Order model for a supercritical salt precipitation unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "supercritical_salt_precipitation"
build_sido(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
@property
def default_costing_method(self):
return self.cost_supercritical_salt_precipitation
[docs] @staticmethod
def cost_supercritical_salt_precipitation(blk):
"""
General method for costing supercritical salt precipitation unit.
"""
t0 = blk.flowsheet().time.first()
# Get parameter dict from database
parameter_dict = blk.unit_model.config.database.get_unit_operation_parameters(
blk.unit_model._tech_type, subtype=blk.unit_model.config.process_subtype
)
# Get costing parameter sub-block for this technology
A, B, C, D = blk.unit_model._get_tech_parameters(
blk,
parameter_dict,
blk.unit_model.config.process_subtype,
[
"installation_factor",
"equipment_cost",
"base_flowrate",
"scaling_exponent",
],
)
sizing_term = pyo.units.convert(
(blk.unit_model.flow_mass_in[t0] / C),
to_units=pyo.units.dimensionless,
)
# Add cost variable and constraint
blk.capital_cost = pyo.Var(
initialize=1,
units=blk.config.flowsheet_costing_block.base_currency,
bounds=(0, None),
doc="Capital cost of unit operation",
)
expr = pyo.units.convert(
A * B * sizing_term**D,
to_units=blk.config.flowsheet_costing_block.base_currency,
)
blk.costing_package.add_cost_factor(
blk, parameter_dict["capital_cost"]["cost_factor"]
)
blk.capital_cost_constraint = pyo.Constraint(
expr=blk.capital_cost == blk.cost_factor * expr
)
# Register flows
blk.config.flowsheet_costing_block.cost_flow(
blk.unit_model.electricity[t0], "electricity"
)