Source code for watertap.unit_models.zero_order.landfill_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 landfill unit.
"""

from pyomo.environ import units as pyunits, Var
from idaes.core import declare_process_block_class
from watertap.core import build_pt, constant_intensity, ZeroOrderBaseData

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


[docs]@declare_process_block_class("LandfillZO") class LandfillZOData(ZeroOrderBaseData): """ Zero-Order model for a landfill unit operation. """ CONFIG = ZeroOrderBaseData.CONFIG()
[docs] def build(self): super().build() self._tech_type = "landfill" build_pt(self) constant_intensity(self) self.capacity_basis = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, doc="capacity basis for capital cost", ) self.total_mass = Var( self.flowsheet().time, units=pyunits.kg / pyunits.hr, doc="total mass flow rate", ) self._fixed_perf_vars.append(self.capacity_basis) @self.Constraint(self.flowsheet().time, doc="Total mass constraint") def total_mass_constraint(b, t): return b.total_mass[t] == sum( pyunits.convert( b.inlet.flow_mass_comp[t, m], to_units=pyunits.kg / pyunits.hr ) for m in b.config.property_package.component_list ) self._perf_var_dict["Capacity Basis (kg/hr)"] = self.capacity_basis self._perf_var_dict["Total Mass (kg/hr)"] = self.total_mass
@property def default_costing_method(self): return self.cost_landfill
[docs] @staticmethod def cost_landfill(blk, number_of_parallel_units=1): """ General method for costing landfill. Capital cost is based on the total mass and capacity basis. Args: number_of_parallel_units (int, optional) - cost this unit as number_of_parallel_units parallel units (default: 1) """ t0 = blk.flowsheet().time.first() sizing_term = blk.unit_model.total_mass[t0] / blk.unit_model.capacity_basis[t0] # 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"] # Call general power law costing method blk.unit_model._general_power_law_form( blk, A, B, sizing_term, factor, number_of_parallel_units ) # Register flows blk.config.flowsheet_costing_block.cost_flow( blk.unit_model.electricity[t0], "electricity" )