#################################################################################
# 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 an evaporation pond unit
model.
"""
import pyomo.environ as pyo
from pyomo.environ import units as pyunits, Var, value
from idaes.core import declare_process_block_class
from watertap.core import build_sido, constant_intensity, ZeroOrderBaseData
# Some more information about this module
__author__ = "Kurban Sitterley"
[docs]@declare_process_block_class("EvaporationPondZO")
class EvaporationPondZOData(ZeroOrderBaseData):
"""
Zero-Order model for a evaporation pond unit.
"""
CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self):
super().build()
build_sido(self)
constant_intensity(self)
self._tech_type = "evaporation_pond"
self.air_temperature = Var(
self.flowsheet().time,
initialize=298,
units=pyunits.kelvin,
doc="Air temperature",
)
self.solar_radiation = Var(
self.flowsheet().time,
units=pyunits.mJ / pyunits.m**2,
doc="Daily solar radiation incident",
)
self.dike_height = Var(
self.flowsheet().time, units=pyunits.ft, doc="Pond dike height"
)
self.evaporation_rate_adj_factor = Var(
self.flowsheet().time,
units=pyunits.dimensionless,
doc="Factor to adjust evaporation rate of pure water",
)
self.evap_rate_calc_a_parameter = Var(
self.flowsheet().time,
units=pyunits.mm / pyunits.d,
doc="Evaporation rate calculation parameter A",
)
self.evap_rate_calc_b_parameter = Var(
self.flowsheet().time,
units=pyunits.m**2 / pyunits.mJ,
doc="Evaporation rate calculation parameter B",
)
self.evap_rate_calc_c_parameter = Var(
self.flowsheet().time,
units=pyunits.m**2 / pyunits.mJ,
doc="Evaporation rate calculation parameter C",
)
self.adj_area_calc_a_parameter = Var(
self.flowsheet().time,
units=pyunits.acres,
doc="Adjusted area calculation parameter A",
)
self.adj_area_calc_b_parameter = Var(
self.flowsheet().time,
units=pyunits.dimensionless,
doc="Adjusted area calculation parameter B",
)
self._fixed_perf_vars.append(self.air_temperature)
self._fixed_perf_vars.append(self.solar_radiation)
self._fixed_perf_vars.append(self.dike_height)
self._fixed_perf_vars.append(self.evaporation_rate_adj_factor)
self._fixed_perf_vars.append(self.evap_rate_calc_a_parameter)
self._fixed_perf_vars.append(self.evap_rate_calc_b_parameter)
self._fixed_perf_vars.append(self.evap_rate_calc_c_parameter)
self._fixed_perf_vars.append(self.adj_area_calc_a_parameter)
self._fixed_perf_vars.append(self.adj_area_calc_b_parameter)
self.area = Var(
self.flowsheet().time,
initialize=1,
units=pyunits.acres,
bounds=(0, None),
doc="Pond area needed based on evaporation rate",
)
self.adj_area = Var(
self.flowsheet().time, units=pyunits.acres, doc="Adjusted pond area needed"
)
self.evaporation_rate_pure = Var(
self.flowsheet().time,
units=pyunits.mm / pyunits.d,
doc="Calculated evaporation rate of pure water",
)
self.evaporation_rate_salt = Var(
self.flowsheet().time,
units=(pyunits.gallons / pyunits.minute / pyunits.acre),
doc="Pure water evaporation rate adjusted for salinity",
)
@self.Constraint(
self.flowsheet().time, doc="Evaporation rate of pure water constraint"
)
def evap_rate_pure_constraint(b, t):
air_temperature_C = pyunits.convert_temp_K_to_C(value(b.air_temperature[t]))
return (
b.evaporation_rate_pure[t]
== b.evap_rate_calc_a_parameter[t]
* (
b.evap_rate_calc_b_parameter[t] * air_temperature_C
+ b.evap_rate_calc_c_parameter[t]
)
* b.solar_radiation[t]
)
@self.Constraint(
self.flowsheet().time,
doc="Adjusted evaporation rate for salinity constraint",
)
def evap_rate_salt_constraint(b, t):
evap_rate_gal_min_acre = pyunits.convert(
b.evaporation_rate_pure[t],
to_units=(pyunits.gallons / pyunits.minute / pyunits.acre),
)
return (
b.evaporation_rate_salt[t]
== evap_rate_gal_min_acre * b.evaporation_rate_adj_factor[t]
)
@self.Constraint(self.flowsheet().time, doc="Base area constraint")
def area_constraint(b, t):
q_out = pyunits.convert(
self.properties_byproduct[t].flow_vol,
to_units=pyunits.gallon / pyunits.minute,
)
return q_out == b.evaporation_rate_salt[t] * b.area[t]
@self.Constraint(self.flowsheet().time, doc="Adjusted area constraint")
def area_adj_constraint(b, t):
area = b.area[t] / pyunits.acres
dike_ht = b.dike_height[t] / pyunits.ft
return b.adj_area[t] == b.adj_area_calc_a_parameter[t] * area * (
1 + (b.adj_area_calc_b_parameter[t] * dike_ht) / area**0.5
)
self._perf_var_dict["Evaporation rate (mm/d)"] = self.evaporation_rate_pure
self._perf_var_dict["Pond area (acres)"] = self.adj_area
self._perf_var_dict["Pond dike height (ft)"] = self.dike_height
@property
def default_costing_method(self):
return self.cost_evaporation_pond
[docs] @staticmethod
def cost_evaporation_pond(blk):
"""
General method for costing evaporation pond. Capital cost is based on the pond area and
other pond construction parameters.
"""
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,
E,
liner_thickness,
land_cost,
land_clearing_cost,
) = blk.unit_model._get_tech_parameters(
blk,
parameter_dict,
blk.unit_model.config.process_subtype,
[
"cost_per_acre_a_parameter",
"cost_per_acre_b_parameter",
"cost_per_acre_c_parameter",
"cost_per_acre_d_parameter",
"cost_per_acre_e_parameter",
"liner_thickness",
"land_cost",
"land_clearing_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.adj_area[t0]
* (
A
+ B * liner_thickness
+ C * land_cost
+ D * land_clearing_cost
+ E * blk.unit_model.dike_height[t0]
),
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"
)