#################################################################################
# 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 Ozone reactor unit.
"""
import pyomo.environ as pyo
from pyomo.environ import units as pyunits, Var
from idaes.core.util.exceptions import ConfigurationError
from idaes.core import declare_process_block_class
from watertap.core import build_siso, ZeroOrderBaseData
# Some more information about this module
__author__ = "Kurban Sitterley"
[docs]@declare_process_block_class("OzoneZO")
class OzoneZOData(ZeroOrderBaseData):
"""
Zero-Order model for a Ozone unit operation.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "ozonation"
build_siso(self)
if "toc" not in self.config.property_package.config.solute_list:
raise ConfigurationError(
"toc must be in solute list for Ozonation or Ozone/AOP"
)
self.contact_time = Var(
self.flowsheet().time, units=pyunits.minute, doc="Ozone contact time"
)
self.concentration_time = Var(
self.flowsheet().time,
units=(pyunits.mg * pyunits.minute) / pyunits.liter,
doc="CT value for ozone contactor",
)
self.mass_transfer_efficiency = Var(
self.flowsheet().time,
units=pyunits.dimensionless,
doc="Ozone mass transfer efficiency",
)
self.specific_energy_coeff = Var(
self.flowsheet().time,
units=pyunits.kWh / pyunits.lb,
bounds=(0, None),
doc="Specific energy consumption for ozone generation",
)
self._fixed_perf_vars.append(self.contact_time)
self._fixed_perf_vars.append(self.concentration_time)
self._fixed_perf_vars.append(self.mass_transfer_efficiency)
self._fixed_perf_vars.append(self.specific_energy_coeff)
self.ozone_flow_mass = Var(
self.flowsheet().time,
initialize=1,
bounds=(0, None),
units=pyunits.lb / pyunits.hr,
doc="Mass flow rate of ozone",
)
self.ozone_consumption = Var(
self.flowsheet().time,
initialize=1,
bounds=(0, None),
units=pyunits.mg / pyunits.liter,
doc="Ozone consumption",
)
self.electricity = Var(
self.flowsheet().time,
initialize=1,
bounds=(0, None),
units=pyunits.kW,
doc="Ozone generation power demand",
)
@self.Constraint(self.flowsheet().time, doc="Ozone consumption constraint")
def ozone_consumption_constraint(b, t):
return (
b.ozone_consumption[t]
== (
(
pyunits.convert(
b.properties_in[t].conc_mass_comp["toc"],
to_units=pyunits.mg / pyunits.liter,
)
+ self.concentration_time[t] / self.contact_time[t]
)
)
/ self.mass_transfer_efficiency[t]
)
@self.Constraint(self.flowsheet().time, doc="Ozone mass flow constraint")
def ozone_flow_mass_constraint(b, t):
return b.ozone_flow_mass[t] == pyunits.convert(
b.properties_in[t].flow_vol * b.ozone_consumption[t],
to_units=pyunits.lb / pyunits.hr,
)
@self.Constraint(self.flowsheet().time, doc="Ozone power constraint")
def electricity_constraint(b, t):
return b.electricity[t] == (
b.specific_energy_coeff[t] * b.ozone_flow_mass[t]
)
self._perf_var_dict["Ozone Contact Time (min)"] = self.contact_time
self._perf_var_dict["Ozone CT Value ((mg*min)/L)"] = self.concentration_time
self._perf_var_dict["Ozone Mass Transfer Efficiency"] = (
self.mass_transfer_efficiency
)
self._perf_var_dict["Ozone Mass Flow (lb/hr)"] = self.ozone_flow_mass
self._perf_var_dict["Ozone Unit Power Demand (kW)"] = self.electricity
@property
def default_costing_method(self):
return self.cost_ozonation
[docs] @staticmethod
def cost_ozonation(blk):
"""
General method for costing ozone addition. Capital cost is
based on the inlet flowrate and dosage of ozone.
"""
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,
[
"ozone_capital_a_parameter",
"ozone_capital_b_parameter",
"ozone_capital_c_parameter",
"ozone_capital_d_parameter",
],
)
# Get costing term for ozone addition
expr = blk.unit_model._get_ozone_capital_cost(blk, A, B, C, D)
# Add cost variable
blk.capital_cost = pyo.Var(
initialize=1,
units=blk.config.flowsheet_costing_block.base_currency,
bounds=(0, None),
doc="Capital cost of unit operation",
)
# 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_ozone_capital_cost(blk, A, B, C, D):
"""
Generate expressions for capital cost of ozonation system.
"""
t0 = blk.flowsheet().time.first()
ln_Q = pyo.log(
pyo.units.convert(
blk.unit_model.properties_in[t0].flow_vol
/ (pyo.units.m**3 / pyo.units.hour),
to_units=pyo.units.dimensionless,
)
)
dosage = pyo.units.convert(
blk.unit_model.ozone_consumption[t0] / (pyo.units.mg / pyo.units.liter),
to_units=pyo.units.dimensionless,
)
expr = pyo.units.convert(
A + B * dosage + C * ln_Q + D * dosage * ln_Q,
to_units=blk.config.flowsheet_costing_block.base_currency,
)
return expr