#################################################################################
# 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 peracetic acid (PAA) water
disinfection unit.
"""
import pyomo.environ as pyo
from pyomo.environ import Var, units as pyunits
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__ = "Travis Arnold"
[docs]@declare_process_block_class("PeraceticAcidDisinfectionZO")
class PeraceticAcidDisinfectionData(ZeroOrderBaseData):
"""
Zero-Order model for a peracetic acid water disinfection unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "peracetic_acid_disinfection"
build_sido_reactive(self)
constant_intensity(self)
# Create hydraulic retention time variable
self.HRT = Var(
units=pyunits.hr,
bounds=(0, None),
doc="Hydraulic retention time of water treatment unit",
)
self._perf_var_dict["Hydraulic Retention Time"] = self.HRT
self._fixed_perf_vars.append(self.HRT)
# Create variable for mass of an E. coli cell
self.ecoli_cell_mass = Var(
units=pyunits.kg,
bounds=(0, None),
doc="Average mass of an E. coli cell",
)
self._perf_var_dict["E. coli Average Cell Mass"] = self.ecoli_cell_mass
self._fixed_perf_vars.append(self.ecoli_cell_mass)
# Create variable for weight fraction of PAA in disinfection solution
self.disinfection_solution_wt_frac_PAA = Var(
units=pyunits.dimensionless,
bounds=(0, 1),
doc="Weight fraction of PAA in disinfection solution",
)
self._perf_var_dict["Weight fraction PAA in disinfection solution"] = (
self.disinfection_solution_wt_frac_PAA
)
self._fixed_perf_vars.append(self.disinfection_solution_wt_frac_PAA)
# Create variable for disinfection solution density
self.disinfection_solution_density = Var(
units=pyunits.kg / pyunits.liter,
bounds=(0, None),
doc="Disinfection solution density",
)
self._perf_var_dict["disinfection solution density"] = (
self.disinfection_solution_density
)
self._fixed_perf_vars.append(self.disinfection_solution_density)
# Create variable for disinfection solution volumetric flowrate
self.disinfection_solution_flow_vol = Var(
self.flowsheet().time,
units=pyunits.L / pyunits.s,
bounds=(0, None),
doc="Volumetric flowrate of disinfection solution",
)
self._perf_var_dict["Disinfection solution volumetric flowrate"] = (
self.disinfection_solution_flow_vol
)
# Create constraint to calculate disinfection solution flowrate
@self.Constraint(
self.flowsheet().time, doc="Constraint for disinfection solution flowrate"
)
def disinfection_solution_flow_vol_rule(b, t):
return pyunits.convert(
b.inlet.flow_mass_comp[t, "peracetic_acid"],
to_units=pyunits.kg / pyunits.s,
) == pyunits.convert(
b.disinfection_solution_flow_vol[t]
* b.disinfection_solution_density
* b.disinfection_solution_wt_frac_PAA,
to_units=pyunits.kg / pyunits.s,
)
# Create reactor volume variable
self.reactor_volume = Var(
units=pyunits.m**3,
bounds=(0, None),
doc="Volume of water treatment unit",
)
self._perf_var_dict["Reactor Volume"] = self.reactor_volume
# Create constraint relating HRT, volume, and volumetric flowrate
@self.Constraint(self.flowsheet().time, doc="Constraint for reactor volume")
def reactor_volume_rule(b, t):
return b.reactor_volume == (
pyunits.convert(
b.HRT * b.properties_in[t].flow_vol, to_units=pyunits.m**3
)
)
# Create variable for E. coli concentration at reactor inlet
self.inlet_ecoli_conc = Var(
self.flowsheet().time,
units=pyunits.liter**-1,
bounds=(0, None),
doc="Concentration of E. coli at reactor inlet",
)
self._perf_var_dict["Inlet E. coli Concentration"] = self.inlet_ecoli_conc
# Create constraint relating E. coli inlet mass flow rate and
# concentration
@self.Constraint(
self.flowsheet().time, doc="Constraint for E. coli inlet concentration"
)
def ecoli_inlet_concentration_rule(b, t):
return pyunits.convert(
b.inlet.flow_mass_comp[t, "total_coliforms_fecal_ecoli"],
to_units=pyunits.kg / pyunits.s,
) == pyunits.convert(
b.inlet_ecoli_conc[t] * b.ecoli_cell_mass * b.properties_in[t].flow_vol,
to_units=pyunits.kg / pyunits.s,
)
# Create variable for E. coli concentration at reactor outlet
self.outlet_ecoli_conc = Var(
self.flowsheet().time,
units=pyunits.liter**-1,
bounds=(0, None),
doc="Concentration of E. coli at reactor outlet",
)
self._perf_var_dict["Outlet E. coli Concentration"] = self.outlet_ecoli_conc
# Create constraint relating E. coli outlet mass flow rate and
# concentration
@self.Constraint(
self.flowsheet().time, doc="Constraint for E. coli outlet concentration"
)
def ecoli_outlet_concentration_rule(b, t):
return pyunits.convert(
b.treated.flow_mass_comp[t, "total_coliforms_fecal_ecoli"],
to_units=pyunits.kg / pyunits.s,
) == pyunits.convert(
b.outlet_ecoli_conc[t]
* b.ecoli_cell_mass
* b.properties_treated[t].flow_vol,
to_units=pyunits.kg / pyunits.s,
)
@property
def default_costing_method(self):
return self.cost_peracetic_acid
[docs] @staticmethod
def cost_peracetic_acid(blk):
"""
General method for costing peracetic acid water disinfection.
"""
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
sizing_cost = blk.unit_model._get_tech_parameters(
blk,
parameter_dict,
blk.unit_model.config.process_subtype,
["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 * sizing_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.disinfection_solution_flow_vol[t0], "disinfection_solution"
)