#################################################################################
# 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 constructed wetlands
for wastewater resource recovery flowsheets.
"""
import pyomo.environ as pyo
from idaes.core import declare_process_block_class
from watertap.core import build_siso, ZeroOrderBaseData
# Some more information about this module
__author__ = "Adam Atia"
[docs]@declare_process_block_class("ConstructedWetlandsZO")
class ConstructedWetlandsZOData(ZeroOrderBaseData):
"""
Zero-Order model for constructed wetlands.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "constructed_wetlands"
build_siso(self)
@property
def default_costing_method(self):
return self.cost_constructed_wetlands
[docs] @staticmethod
def cost_constructed_wetlands(blk):
"""
Method for costing constructed wetlands.
"""
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
unit_capex = blk.unit_model._get_tech_parameters(
blk, parameter_dict, blk.unit_model.config.process_subtype, ["unit_capex"]
)
# 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",
)
capex_expr = pyo.units.convert(
blk.unit_model.properties_in[t0].flow_vol * unit_capex,
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 * capex_expr
)