#################################################################################
# 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 Magprex reactor unit
for struvite precipitation.
"""
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_reactive, constant_intensity, ZeroOrderBaseData
# Some more information about this module
__author__ = "Marcus Holly"
[docs]@declare_process_block_class("MagprexZO")
class MagprexZOData(ZeroOrderBaseData):
"""
Zero-Order model for a Magprex reactor unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "magprex"
build_sido_reactive(self)
constant_intensity(self)
self.magnesium_chloride_dosage = Var(
units=pyunits.dimensionless,
bounds=(0, None),
doc="Dosage of magnesium chloride per phosphates",
)
self._fixed_perf_vars.append(self.magnesium_chloride_dosage)
self._perf_var_dict["Dosage of magnesium chloride per phosphates"] = (
self.magnesium_chloride_dosage
)
self.MgCl2_flowrate = Var(
self.flowsheet().time,
units=pyunits.kg / pyunits.hr,
bounds=(0, None),
doc="Magnesium chloride flowrate",
)
self._perf_var_dict["Magnesium Chloride Demand"] = self.MgCl2_flowrate
@self.Constraint(
self.flowsheet().time,
doc="Constraint for magnesium chloride demand based on sludge flowrate.",
)
def MgCl2_demand(b, t):
return b.MgCl2_flowrate[t] == (
b.magnesium_chloride_dosage
* pyunits.convert(
b.properties_in[t].flow_mass_comp["phosphates"],
to_units=pyunits.kg / pyunits.hour,
)
)
@property
def default_costing_method(self):
return self.cost_magprex
[docs] @staticmethod
def cost_magprex(blk):
"""
Method for costing Magprex reactor 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
HRT, size_cost = blk.unit_model._get_tech_parameters(
blk,
parameter_dict,
blk.unit_model.config.process_subtype,
["HRT", "sizing_cost"],
)
# 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(
blk.unit_model.properties_in[t0].flow_vol * HRT * size_cost,
to_units=blk.config.flowsheet_costing_block.base_currency,
)
# Determine if a costing factor is required
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"
)
blk.config.flowsheet_costing_block.cost_flow(
blk.unit_model.MgCl2_flowrate[t0], "magnesium_chloride"
)