Source code for watertap.unit_models.zero_order.coag_and_floc_zo

###############################################################################
# WaterTAP Copyright (c) 2021, 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 coagulation/flocculation unit
operation.
"""

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

from watertap.core import build_pt, ZeroOrderBaseData

# Some more information about this module
__author__ = "Adam Atia"


[docs]@declare_process_block_class("CoagulationFlocculationZO") class CoagulationFlocculationZOData(ZeroOrderBaseData): """ Zero-Order model for a Coagulation/Flocculation unit operation. """ CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self): super().build() self._tech_type = "coag_and_floc" build_pt(self) self.alum_dose = Var( self.flowsheet().time, units=pyunits.mg / pyunits.L, bounds=(0, None), doc="Dosing rate of alum", ) self.polymer_dose = Var( self.flowsheet().time, units=pyunits.mg / pyunits.L, bounds=(0, None), doc="Dosing rate of polymer", ) self.anion_to_cation_polymer_ratio = Var( self.flowsheet().time, bounds=(0, None), units=pyunits.dimensionless, doc="Ratio of anionic to cationic polymer in dosage", ) self.anionic_polymer_dose = Var( self.flowsheet().config.time, bounds=(0, None), units=pyunits.mg / pyunits.L, doc="Dosing rate of anionic polymer", ) self.cationic_polymer_dose = Var( self.flowsheet().config.time, bounds=(0, None), units=pyunits.mg / pyunits.L, doc="Dosing rate of cationic polymer", ) self.chemical_flow_mass = Var( self.flowsheet().time, ["alum", "polymer"], units=pyunits.kg / pyunits.s, bounds=(0, None), doc="Mass flow rate of chemical solution", ) self.rapid_mix_retention_time = Var( self.flowsheet().config.time, units=pyunits.seconds, doc="Rapid Mix Retention Time", ) self.floc_retention_time = Var( self.flowsheet().config.time, units=pyunits.minutes, doc="Floc Retention Time", ) self.rapid_mix_basin_vol = Var( units=pyunits.m**3, doc="Rapid Mix Basin Volume" ) self.floc_basin_vol = Var(units=pyunits.m**3, doc="Floc Basin Volume") self.num_rapid_mixers = Var( units=pyunits.dimensionless, doc="Number of Rapid Mixers" ) self.num_floc_mixers = Var( units=pyunits.dimensionless, doc="Number of Floc Mixers" ) self.num_rapid_mix_processes = Var( units=pyunits.dimensionless, doc="Number of Rapid Mix Processes" ) self.num_floc_processes = Var( units=pyunits.dimensionless, doc="Number of Floc Processes" ) self.num_coag_processes = Var( units=pyunits.dimensionless, doc="Number of Coagulation Processes" ) self.num_floc_injection_processes = Var( units=pyunits.dimensionless, doc="Number of Floc Injection Processes" ) self.velocity_gradient_rapid_mix = Var( self.flowsheet().config.time, units=pyunits.s**-1, doc="Rapid Mix Velocity Gradient", ) self.velocity_gradient_floc = Var( self.flowsheet().config.time, units=pyunits.s**-1, doc="Floc Velocity Gradient", ) self.power_rapid_mix = Var( self.flowsheet().config.time, units=pyunits.kW, doc="Rapid Mix Power Consumption", ) self.power_floc = Var( self.flowsheet().config.time, units=pyunits.kW, doc="Floc Power Consumption" ) self.electricity = Var( self.flowsheet().config.time, units=pyunits.kW, doc="Total Power Consumption", ) self._fixed_perf_vars.append(self.alum_dose) self._fixed_perf_vars.append(self.polymer_dose) self._fixed_perf_vars.append(self.anion_to_cation_polymer_ratio) self._fixed_perf_vars.append(self.rapid_mix_retention_time) self._fixed_perf_vars.append(self.floc_retention_time) self._fixed_perf_vars.append(self.num_floc_injection_processes) self._fixed_perf_vars.append(self.num_floc_processes) self._fixed_perf_vars.append(self.num_rapid_mixers) self._fixed_perf_vars.append(self.num_coag_processes) self._fixed_perf_vars.append(self.num_floc_mixers) self._fixed_perf_vars.append(self.num_rapid_mix_processes) self._fixed_perf_vars.append(self.velocity_gradient_rapid_mix) self._fixed_perf_vars.append(self.velocity_gradient_floc) self._perf_var_dict["Alum Dosage (mg/L)"] = self.alum_dose self._perf_var_dict["Polymer Dosage (mg/L)"] = self.polymer_dose self._perf_var_dict["Alum Flow (kg/s)"] = self.chemical_flow_mass[0, "alum"] self._perf_var_dict["Polymer Flow (kg/s)"] = self.chemical_flow_mass[ 0, "polymer" ] self._perf_var_dict["Rapid Mix Basin Volume (m^3)"] = self.rapid_mix_basin_vol self._perf_var_dict["Floc Basin Volume (m^3)"] = self.floc_basin_vol self._perf_var_dict[ "Rapid Mix Retention Time (s)" ] = self.rapid_mix_retention_time self._perf_var_dict["Floc Retention Time (min)"] = self.floc_retention_time self._perf_var_dict[ "Rapid Mix Velocity Gradient (1/s)" ] = self.velocity_gradient_rapid_mix self._perf_var_dict[ "Floc Velocity Gradient (1/s)" ] = self.velocity_gradient_floc self._perf_var_dict["Rapid Mix Power (kW)"] = self.power_rapid_mix self._perf_var_dict["Floc Power (kW)"] = self.power_floc self._perf_var_dict["Total Power Consumption (kW)"] = self.electricity def rule_rapid_mix_basin_vol(blk): return ( blk.rapid_mix_basin_vol == blk.properties[0].flow_vol * blk.rapid_mix_retention_time[0] ) self.rapid_mix_basin_vol_constraint = Constraint(rule=rule_rapid_mix_basin_vol) def rule_floc_basin_vol(blk): return blk.floc_basin_vol == pyunits.convert( blk.properties[0].flow_vol * blk.floc_retention_time[0], to_units=pyunits.m**3, ) self.floc_basin_vol_constraint = Constraint(rule=rule_floc_basin_vol) def rule_chem_flow(blk, t, j): if j == "alum": chemical_dosage = blk.alum_dose[t] elif j == "polymer": chemical_dosage = blk.polymer_dose[t] return blk.chemical_flow_mass[t, j] == pyunits.convert( chemical_dosage * blk.properties[t].flow_vol, to_units=pyunits.kg / pyunits.s, ) self.chemical_flow_constraint = Constraint( self.flowsheet().time, ["alum", "polymer"], rule=rule_chem_flow ) def rule_anionic_polymer_dose(blk, t): return blk.anionic_polymer_dose[t] == blk.anion_to_cation_polymer_ratio[ t ] * blk.polymer_dose[t] / (blk.anion_to_cation_polymer_ratio[t] + 1) self.anionic_polymer_dose_constraint = Constraint( self.flowsheet().config.time, rule=rule_anionic_polymer_dose ) def rule_cationic_polymer_dose(blk, t): return blk.cationic_polymer_dose[t] == blk.polymer_dose[t] / ( blk.anion_to_cation_polymer_ratio[t] + 1 ) self.cationic_polymer_dose_constraint = Constraint( self.flowsheet().config.time, rule=rule_cationic_polymer_dose ) # TODO: WT3 doesn't include pump electricity. Consider adding after case study validation # pump_electricity(self, self.chemical_flow_vol) @self.Constraint( self.flowsheet().time, doc="Constraint for rapid mix power consumption" ) def rule_power_rapid_mix(b, t): return b.power_rapid_mix[t] == pyunits.convert( b.num_rapid_mixers * b.properties[t].visc_d * b.rapid_mix_basin_vol * b.velocity_gradient_rapid_mix[t] ** 2, to_units=pyunits.kW, ) @self.Constraint( self.flowsheet().time, doc="Constraint for floc power consumption" ) def rule_power_floc(b, t): return b.power_floc[t] == pyunits.convert( b.num_floc_mixers * b.properties[t].visc_d * b.floc_basin_vol * b.velocity_gradient_floc[t] ** 2, to_units=pyunits.kW, ) @self.Constraint(self.flowsheet().time, doc="Total power consumption") def electricity_constraint(b, t): return b.electricity[t] == b.power_floc[t] + b.power_rapid_mix[t]