#################################################################################
# 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 reactor 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.core import build_siso, constant_intensity, ZeroOrderBaseData
# Some more information about this module
__author__ = "Adam Atia"
[docs]@declare_process_block_class("UVZO")
class UVZOData(ZeroOrderBaseData):
"""
Zero-Order model for a UV unit operation.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "uv"
build_siso(self)
constant_intensity(self)
self.uv_reduced_equivalent_dose = Var(
self.flowsheet().time,
units=pyunits.mJ / pyunits.cm**2,
doc="Reduced equivalent dosage",
)
self.uv_transmittance_in = Var(
self.flowsheet().time,
units=pyunits.dimensionless,
doc="UV transmittance of solution at UV reactor inlet",
)
self.recovery_frac_mass_H2O.fix(1)
self._fixed_perf_vars.append(self.uv_reduced_equivalent_dose)
self._fixed_perf_vars.append(self.uv_transmittance_in)
self._perf_var_dict["UV Reduced Equivalent Dosage (mJ/cm^2)"] = (
self.uv_reduced_equivalent_dose
)
self._perf_var_dict["UV Transmittance of Feed"] = self.uv_transmittance_in
@property
def default_costing_method(self):
return self.cost_uv
[docs] @staticmethod
def cost_uv(blk):
"""
General method for costing UV reactor units. Capital cost is based on
the inlet flow, UV reduced equivalent dosage, and UV transmittance at
the inlet.
"""
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 = blk.unit_model._get_tech_parameters(
blk,
parameter_dict,
blk.unit_model.config.process_subtype,
[
"reactor_cost",
"lamp_cost",
],
)
expr = blk.unit_model._get_uv_capital_cost(blk, A, B)
# 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"
)
@staticmethod
def _get_uv_capital_cost(blk, A, B):
"""
Generate expression for capital cost of UV reactor.
"""
t0 = blk.flowsheet().time.first()
Q = pyo.units.convert(
blk.unit_model.properties_in[t0].flow_vol,
to_units=pyo.units.m**3 / pyo.units.hr,
)
E = pyo.units.convert(blk.unit_model.electricity[t0], to_units=pyo.units.kW)
expr = pyo.units.convert(
A * Q + B * E,
to_units=blk.config.flowsheet_costing_block.base_currency,
)
return expr