#################################################################################
# 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 UV-AOP unit
operation.
"""
import pyomo.environ as pyo
from pyomo.environ import units as pyunits, Var
from idaes.core import declare_process_block_class
from watertap.unit_models.zero_order.uv_zo import UVZOData
from watertap.unit_models.zero_order.aop_addition_zo import AOPAdditionMixin
# Some more information about this module
__author__ = "Adam Atia"
[docs]@declare_process_block_class("UVAOPZO")
class UVAOPZOData(UVZOData, AOPAdditionMixin):
"""
Zero-Order model for a UV-AOP unit operation.
"""
CONFIG = UVZOData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "uv_aop"
self.oxidant_dose = Var(
self.flowsheet().time, units=pyunits.mg / pyunits.L, doc="Oxidant dosage"
)
self.chemical_flow_mass = Var(
self.flowsheet().time,
units=pyunits.kg / pyunits.s,
bounds=(0, None),
doc="Mass flow rate of oxidant solution",
)
self._fixed_perf_vars.append(self.oxidant_dose)
@self.Constraint(self.flowsheet().time, doc="Chemical mass flow constraint")
def chemical_flow_mass_constraint(b, t):
return b.chemical_flow_mass[t] == pyunits.convert(
b.oxidant_dose[t] * b.properties_in[t].flow_vol,
to_units=pyunits.kg / pyunits.s,
)
self._perf_var_dict["Oxidant Dosage (mg/L)"] = self.oxidant_dose
self._perf_var_dict["Oxidant Flow (kg/s)"] = self.chemical_flow_mass
@property
def default_costing_method(self):
return self.cost_uv_aop
@staticmethod
def cost_uv_aop(blk):
t0 = blk.flowsheet().time.first()
# 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",
)
# 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,
[
"reactor_cost",
"lamp_cost",
"aop_capital_a_parameter",
"aop_capital_b_parameter",
],
)
expr = blk.unit_model._get_uv_capital_cost(blk, A, B)
expr += blk.unit_model._get_aop_capital_cost(blk, C, D)
# 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"
)
# TODO: Check whether chemical flow cost was accounted for originally
# and if should be in case study verification
blk.config.flowsheet_costing_block.cost_flow(
blk.unit_model.chemical_flow_mass[t0], "hydrogen_peroxide"
)