Source code for watertap.unit_models.zero_order.well_field_zo

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# through Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory,
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# of Energy). All rights reserved.
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# 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
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"""
This module contains a zero-order representation of a well field unit
operation.
"""

import pyomo.environ as pyo
from pyomo.environ import Reference, units as pyunits, Var
from idaes.core import declare_process_block_class

from watertap.core import build_pt, pump_electricity, ZeroOrderBaseData

# Some more information about this module
__author__ = "Kurban Sitterley"


[docs]@declare_process_block_class("WellFieldZO") class WellFieldZOData(ZeroOrderBaseData): """ Zero-Order model for a well field unit operation. """ CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self): super().build() self._tech_type = "well_field" build_pt(self) self._Q = Reference(self.properties[:].flow_vol) pump_electricity(self, self._Q) self.pipe_distance = Var( self.flowsheet().config.time, units=pyunits.miles, doc="Piping distance" ) self.pipe_diameter = Var( self.flowsheet().config.time, units=pyunits.inches, doc="Pipe diameter" ) self._fixed_perf_vars.append(self.pipe_distance) self._fixed_perf_vars.append(self.pipe_diameter) self._perf_var_dict["Pipe Distance (miles)"] = self.pipe_distance self._perf_var_dict["Pipe Diameter (inches)"] = self.pipe_diameter
@property def default_costing_method(self): return self.cost_well_field
[docs] @staticmethod def cost_well_field(blk): """ General method for costing well fields. Capital cost is based on well field construction and pipe costs. """ 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, pipe_cost_basis = blk.unit_model._get_tech_parameters( blk, parameter_dict, blk.unit_model.config.process_subtype, ["capital_a_parameter", "capital_b_parameter", "pipe_cost_basis"], ) # 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[t0].flow_vol / (pyo.units.m**3 / pyo.units.hour), to_units=pyo.units.dimensionless, ) expr = pyo.units.convert( A * Q**B + ( pipe_cost_basis * blk.unit_model.pipe_distance[t0] * blk.unit_model.pipe_diameter[t0] ), to_units=blk.config.flowsheet_costing_block.base_currency, ) blk.unit_model._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" )