Source code for watertap.costing.unit_models.uv_aop

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# 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
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import pyomo.environ as pyo
from ..util import (
    register_costing_parameter_block,
    make_capital_cost_var,
    make_fixed_operating_cost_var,
)


def build_uv_cost_param_block(blk):

    blk.factor_lamp_replacement = pyo.Var(
        initialize=0.33278,
        doc="UV replacement factor accounting for lamps, sleeves, ballasts and sensors [fraction of uv replaced/year]",
        units=pyo.units.year**-1,
    )
    blk.reactor_cost = pyo.Var(
        initialize=202.346,
        doc="UV reactor cost",
        units=pyo.units.USD_2018 / (pyo.units.m**3 / pyo.units.hr),
    )
    blk.lamp_cost = pyo.Var(
        initialize=235.5,
        doc="UV lamps, sleeves, ballasts and sensors cost",
        units=pyo.units.USD_2018 / pyo.units.kW,
    )


[docs]@register_costing_parameter_block( build_rule=build_uv_cost_param_block, parameter_block_name="ultraviolet", ) def cost_uv_aop(blk, cost_electricity_flow=True): """ UV-AOP costing method """ cost_uv_aop_bundle( blk, blk.costing_package.ultraviolet.reactor_cost, blk.costing_package.ultraviolet.lamp_cost, blk.costing_package.ultraviolet.factor_lamp_replacement, ) t0 = blk.flowsheet().time.first() if cost_electricity_flow: blk.costing_package.cost_flow( pyo.units.convert( blk.unit_model.electricity_demand[t0], to_units=pyo.units.kW, ), "electricity", )
[docs]def cost_uv_aop_bundle(blk, reactor_cost, lamp_cost, factor_lamp_replacement): """ Generic function for costing a UV system. Args: reactor_cost: The cost of UV reactor in [currency]/[volume] lamp_cost: The costs of the lamps, sleeves, ballasts and sensors in [currency]/[kW] """ make_capital_cost_var(blk) make_fixed_operating_cost_var(blk) blk.reactor_cost = pyo.Expression(expr=reactor_cost) blk.lamp_cost = pyo.Expression(expr=lamp_cost) blk.factor_lamp_replacement = pyo.Expression(expr=factor_lamp_replacement) flow_in = pyo.units.convert( blk.unit_model.control_volume.properties_in[0].flow_vol, to_units=pyo.units.m**3 / pyo.units.hr, ) electricity_demand = pyo.units.convert( blk.unit_model.electricity_demand[0], to_units=pyo.units.kW ) blk.costing_package.add_cost_factor(blk, "TIC") blk.capital_cost_constraint = pyo.Constraint( expr=blk.capital_cost == blk.cost_factor * pyo.units.convert( blk.reactor_cost * flow_in + blk.lamp_cost * electricity_demand, to_units=blk.costing_package.base_currency, ) ) blk.fixed_operating_cost_constraint = pyo.Constraint( expr=blk.fixed_operating_cost == pyo.units.convert( blk.factor_lamp_replacement * blk.lamp_cost * electricity_demand, to_units=blk.costing_package.base_currency / blk.costing_package.base_period, ) )