#################################################################################
# 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/"
#################################################################################
"""
[1] Sharma, Jwala R., Mohammad Najafi, and Syed R. Qasim.
"Preliminary cost estimation models for construction, operation, and maintenance of water treatment plants."
Journal of Infrastructure Systems 19.4 (2013): 451-464.
[2] Byun, Jaewon, Maravelias, Christos.
Benchmark Model for Wastewater Treatment Using an Activated Sludge Process.
United States: N.p., 21 Jan, 2022. Web. doi: 10.7481/1844539.
"""
import pyomo.environ as pyo
from idaes.core.util.exceptions import ConfigurationError
from idaes.core.util.misc import StrEnum
from ..util import (
make_capital_cost_var,
register_costing_parameter_block,
)
[docs]class ClarifierType(StrEnum):
circular = "circular"
rectangular = "rectangular"
primary = "primary"
[docs]def cost_clarifier(blk, clarifier_type=ClarifierType.circular, **kwargs):
"""
Clarifier costing method
Args:
clarifier_type: ClarifierType Enum indicating clarifier type,
default = ClarifierType.circular
"""
if clarifier_type == clarifier_type.circular:
cost_circular_clarifier(blk, **kwargs)
elif clarifier_type == clarifier_type.rectangular:
cost_rectangular_clarifier(blk, **kwargs)
elif clarifier_type == clarifier_type.primary:
cost_primary_clarifier(blk, **kwargs)
else:
raise ConfigurationError(
f"{blk.unit_model.name} received invalid argument for clarifier_type:"
f" {clarifier_type}. Argument must be a member of the ClarifierType Enum."
)
def build_circular_clarifier_cost_param_block(blk):
blk.construction_a_parameter = pyo.Var(
initialize=-6e-4,
doc="A parameter for construction cost",
units=pyo.units.USD_2011 / pyo.units.ft**4,
)
blk.construction_b_parameter = pyo.Var(
initialize=98.952,
doc="B parameter for construction cost",
units=pyo.units.USD_2011 / pyo.units.ft**2,
)
blk.construction_c_parameter = pyo.Var(
initialize=191806,
doc="C parameter for construction cost",
units=pyo.units.USD_2011,
)
[docs]@register_costing_parameter_block(
build_rule=build_circular_clarifier_cost_param_block,
parameter_block_name="circular",
)
def cost_circular_clarifier(blk, cost_electricity_flow=True):
"""
Circular clarifier costing method [1]
"""
make_capital_cost_var(blk)
blk.costing_package.add_cost_factor(blk, "TIC")
surface_area = pyo.units.convert(
blk.unit_model.surface_area, to_units=pyo.units.ft**2
)
blk.capital_cost_constraint = pyo.Constraint(
expr=blk.capital_cost
== blk.cost_factor
* pyo.units.convert(
blk.costing_package.circular.construction_a_parameter * surface_area**2
+ blk.costing_package.circular.construction_b_parameter * surface_area
+ blk.costing_package.circular.construction_c_parameter,
to_units=blk.costing_package.base_currency,
)
)
t0 = blk.flowsheet().time.first()
if cost_electricity_flow:
blk.costing_package.cost_flow(
pyo.units.convert(
blk.unit_model.electricity_consumption[t0],
to_units=pyo.units.kW,
),
"electricity",
)
def build_rectangular_clarifier_cost_param_block(blk):
blk.construction_a_parameter = pyo.Var(
initialize=-2.9e-3,
doc="A parameter for construction cost",
units=pyo.units.USD_2011 / pyo.units.ft**4,
)
blk.construction_b_parameter = pyo.Var(
initialize=169.19,
doc="B parameter for construction cost",
units=pyo.units.USD_2011 / pyo.units.ft**2,
)
blk.construction_c_parameter = pyo.Var(
initialize=94365,
doc="C parameter for construction cost",
units=pyo.units.USD_2011,
)
[docs]@register_costing_parameter_block(
build_rule=build_rectangular_clarifier_cost_param_block,
parameter_block_name="rectangular",
)
def cost_rectangular_clarifier(blk, cost_electricity_flow=True):
"""
Rectangular clarifier costing method [1]
"""
make_capital_cost_var(blk)
blk.costing_package.add_cost_factor(blk, "TIC")
surface_area = pyo.units.convert(
blk.unit_model.surface_area, to_units=pyo.units.ft**2
)
blk.capital_cost_constraint = pyo.Constraint(
expr=blk.capital_cost
== blk.cost_factor
* pyo.units.convert(
blk.costing_package.rectangular.construction_a_parameter * surface_area**2
+ blk.costing_package.rectangular.construction_b_parameter * surface_area
+ blk.costing_package.rectangular.construction_c_parameter,
to_units=blk.costing_package.base_currency,
)
)
t0 = blk.flowsheet().time.first()
if cost_electricity_flow:
blk.costing_package.cost_flow(
pyo.units.convert(
blk.unit_model.electricity_consumption[t0],
to_units=pyo.units.kW,
),
"electricity",
)
def build_primary_clarifier_cost_param_block(blk):
blk.capital_a_parameter = pyo.Var(
initialize=120000 / 2776 * 12463,
doc="A parameter for capital cost",
units=pyo.units.USD_2021,
)
blk.capital_b_parameter = pyo.Var(
initialize=0.7,
doc="B parameter for construction cost",
units=pyo.units.dimensionless,
)
[docs]@register_costing_parameter_block(
build_rule=build_primary_clarifier_cost_param_block,
parameter_block_name="primary",
)
def cost_primary_clarifier(blk, cost_electricity_flow=True):
"""
Primary clarifier costing method [2]
"""
make_capital_cost_var(blk)
blk.costing_package.add_cost_factor(blk, "TIC")
t0 = blk.flowsheet().time.first()
flow_in = pyo.units.convert(
blk.unit_model.inlet.flow_vol[t0], to_units=pyo.units.gallon / pyo.units.day
)
blk.capital_cost_constraint = pyo.Constraint(
expr=blk.capital_cost
== blk.cost_factor
* pyo.units.convert(
blk.costing_package.primary.capital_a_parameter
* pyo.units.convert(
flow_in / (1e6 * pyo.units.gallon / pyo.units.day),
to_units=pyo.units.dimensionless,
)
** blk.costing_package.primary.capital_b_parameter,
to_units=blk.costing_package.base_currency,
)
)
if cost_electricity_flow:
blk.costing_package.cost_flow(
pyo.units.convert(
blk.unit_model.electricity_consumption[t0],
to_units=pyo.units.kW,
),
"electricity",
)