Source code for watertap.unit_models.zero_order.pump_electricity_zo

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# through Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory,
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"""
This module contains a zero-order representation of a low pressure pump unit
"""

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_pt, ZeroOrderBaseData
from idaes.core.util.constants import Constants

# Some more information about this module
__author__ = "Chenyu Wang"


[docs]@declare_process_block_class("PumpElectricityZO") class PumpElectricityZOData(ZeroOrderBaseData): """ Zero-Order model for a low pressure pump unit operation. """ CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self): super().build() self._tech_type = "pump_electricity" build_pt(self) self.lift_height = Var(units=pyunits.m, doc="Lift height for pump") self.eta_pump = Var(units=pyunits.dimensionless, doc="Efficiency of pump") self.eta_motor = Var(units=pyunits.dimensionless, doc="Efficiency of motor") self.electricity = Var( self.flowsheet().config.time, units=pyunits.kW, bounds=(0, None), doc="Electricity for low pressure pump", ) self.applied_pressure = Var( self.flowsheet().config.time, units=pyunits.bar, bounds=(0, None), doc="Applied pressure", ) self._fixed_perf_vars.append(self.lift_height) self._fixed_perf_vars.append(self.eta_pump) self._fixed_perf_vars.append(self.eta_motor) @self.Constraint( self.flowsheet().time, doc="Constraint for electricity consumption based on " "pump flowrate.", ) def electricity_consumption(b, t): return b.electricity[t] == pyunits.convert( b.lift_height * b.properties[t].flow_vol * b.properties[t].dens_mass * Constants.acceleration_gravity / (b.eta_pump * b.eta_motor), to_units=pyunits.kW, ) @self.Constraint( self.flowsheet().time, doc="Constraint for pump applied pressure" ) def applied_pressure_constraint(b, t): return b.applied_pressure[t] == pyunits.convert( b.lift_height * b.properties[t].dens_mass * Constants.acceleration_gravity, to_units=pyunits.bar, ) self._perf_var_dict["Electricity (kW)"] = self.electricity self._perf_var_dict["Applied Pressure (bar)"] = self.applied_pressure
@property def default_costing_method(self): return self.cost_pump_electricity
[docs] @staticmethod def cost_pump_electricity(blk): """ General method for costing low pressure pump. Capital cost is based on the cost of inlet flow rate. This method also registers the electricity demand as a costed flow. """ 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 = blk.unit_model._get_tech_parameters( blk, parameter_dict, blk.unit_model.config.process_subtype, ["pump_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.properties[t0].flow_vol * A, 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 * expr ) # Register flows blk.config.flowsheet_costing_block.cost_flow( blk.unit_model.electricity[t0], "electricity" )