#################################################################################
# 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 filter press 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_sido, ZeroOrderBaseData
# Some more information about this module
__author__ = "Kurban Sitterley"
[docs]@declare_process_block_class("FilterPressZO")
class FilterPressZOData(ZeroOrderBaseData):
"""
Zero-Order model for a filter press unit operation.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
self._tech_type = "filter_press"
build_sido(self)
self.hours_per_day_operation = Var(
self.flowsheet().time,
units=pyunits.hour / pyunits.day,
doc="Hours per day of filter press operation",
)
self.cycle_time = Var(
self.flowsheet().time, units=pyunits.hours, doc="Filter press cycle time"
)
self.electricity_a_parameter = Var(
self.flowsheet().time,
units=pyunits.kWh / (pyunits.year * pyunits.ft**3),
doc="Parameter A for electricity calculation",
)
self.electricity_b_parameter = Var(
self.flowsheet().time,
units=pyunits.dimensionless,
doc="Parameter B for electricity calculation",
)
self._fixed_perf_vars.append(self.hours_per_day_operation)
self._fixed_perf_vars.append(self.cycle_time)
self._fixed_perf_vars.append(self.electricity_a_parameter)
self._fixed_perf_vars.append(self.electricity_b_parameter)
self.filter_press_capacity = Var(
self.flowsheet().time,
initialize=10,
units=pyunits.ft**3,
doc="Filter press capacity",
)
self.electricity = Var(
self.flowsheet().time,
units=pyunits.kW,
bounds=(0, None),
doc="Filter press power",
)
@self.Constraint(self.flowsheet().time, doc="Filter press capacity constraint")
def fp_capacity(b, t):
Q = b.properties_in[t].flow_vol
return b.filter_press_capacity[t] == pyunits.convert(
Q, to_units=pyunits.ft**3 / pyunits.day
) / (b.hours_per_day_operation[t] / b.cycle_time[t])
@self.Constraint(
self.flowsheet().time, doc="Filter press electricity constraint"
)
def fp_electricity(b, t):
Q = b.properties_in[t].flow_vol
A = pyunits.convert(
b.electricity_a_parameter[t]
/ (pyunits.kWh / (pyunits.year * pyunits.ft**3)),
to_units=pyunits.dimensionless,
)
fp_cap = pyunits.convert(
b.filter_press_capacity[t] / pyunits.ft**3,
to_units=pyunits.dimensionless,
)
return b.electricity[t] == (A * fp_cap ** b.electricity_b_parameter[t]) * (
pyunits.kWh / pyunits.year
) / pyunits.convert(
Q, to_units=pyunits.m**3 / pyunits.yr
) * pyunits.convert(
Q, to_units=pyunits.m**3 / pyunits.hr
)
self._perf_var_dict["Filter Press Capacity (ft3)"] = self.filter_press_capacity
self._perf_var_dict["Filter Press Power (kW)"] = self.electricity
@property
def default_costing_method(self):
return self.cost_filter_press
[docs] @staticmethod
def cost_filter_press(blk):
"""
General method for costing belt filter press. Capital cost is a function
of flow in gal/hr.
"""
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",
)
Q = pyo.units.convert(
blk.unit_model.properties_in[t0].flow_vol,
to_units=pyo.units.gal / pyo.units.hr,
)
# 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,
["capital_a_parameter", "capital_b_parameter"],
)
# Determine if a costing factor is required
factor = parameter_dict["capital_cost"]["cost_factor"]
expr = pyo.units.convert(
A * Q + B, to_units=blk.config.flowsheet_costing_block.base_currency
)
blk.capital_cost_constraint = pyo.Constraint(expr=blk.capital_cost == expr)
# Register flows
blk.config.flowsheet_costing_block.cost_flow(
blk.unit_model.electricity[t0], "electricity"
)