moved archetype search to the main function and cleaned code
This commit is contained in:
parent
9284fa989b
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@ -4,23 +4,19 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar_monsalvete@concordia.ca
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Project contributor 2023 Author Oriol Gavaldà Torrellas oriol.gavalda@concordia.ca
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"""
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import sys
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import math
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from hub.hub_logger import logger
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from hub.helpers.dictionaries import Dictionaries
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from hub.helpers import constants as cte
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class LifeCycleCosts:
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# todo: this should be (city, costs_catalog) or similar
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def __init__(self, building, catalog, number_of_years, consumer_price_index, discount_rate,
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def __init__(self, building, archetype, number_of_years, consumer_price_index, discount_rate,
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retrofitting_scenario):
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self._building = building
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self._number_of_years = number_of_years
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self._consumer_price_index = consumer_price_index
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self._discount_rate = discount_rate
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self._cost_catalog = catalog
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self._archetype = archetype
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self._end_of_life_cost = 0
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self._capital_costs_at_year_0 = 0
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self._items = 0
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@ -30,28 +26,20 @@ class LifeCycleCosts:
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def calculate_capital_costs(self):
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building = self._building
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archetype = self._archetype
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surface_opaque = 0
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surface_transparent = 0
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surface_roof = 0
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surface_ground = 0
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factor_pv=0.5
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factor_heating_power=0.1 #kW/m2
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factor_cooling_power=0.1 #kW/m2
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total_floor_area=0
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try:
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function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
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archetype = self._search_archetype(self._cost_catalog, function)
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except KeyError:
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logger.error(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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return
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factor_pv = 0.5
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factor_heating_power = 0.1 # kW/m2
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factor_cooling_power = 0.1 # kW/m2
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total_floor_area = 0
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for internal_zone in building.internal_zones:
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for thermal_zone in internal_zone.thermal_zones:
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total_floor_area+=thermal_zone.total_floor_area
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total_floor_area += thermal_zone.total_floor_area
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print(total_floor_area)
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for thermal_boundary in thermal_zone.thermal_boundaries:
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if thermal_boundary.type == 'Ground':
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@ -64,8 +52,8 @@ class LifeCycleCosts:
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print(f'total floor area {total_floor_area}')
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chapters = archetype.capital_cost
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capital_cost_skin=0
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capital_cost_services=0
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capital_cost_skin = 0
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capital_cost_services = 0
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if self._retrofitting_scenario == 1 or self._retrofitting_scenario == 3:
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chapter = chapters.chapter('B_shell')
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capital_cost_opaque = surface_opaque * chapter.item('B2010_opaque_walls').refurbishment[0]
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@ -73,35 +61,41 @@ class LifeCycleCosts:
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capital_cost_roof = surface_roof * chapter.item('B3010_opaque_roof').refurbishment[0]
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capital_cost_ground = surface_ground * chapter.item('B10_superstructure').refurbishment[0]
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capital_cost_skin= capital_cost_opaque+capital_cost_transparent+capital_cost_roof+capital_cost_ground
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print (f'capital cost skin {capital_cost_skin}')
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print(f'capital cost skin {capital_cost_skin}')
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if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3:
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chapter = chapters.chapter('D_services')
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capital_cost_pv = surface_roof * factor_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
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reposition_cost_PV = 0
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reposition_cost_pv = 0
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for year in range(1, self._number_of_years + 1):
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costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
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reposition_cost_PV += surface_roof * factor_pv * chapter.item('D301010_photovoltaic_system').reposition[
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reposition_cost_pv += surface_roof * factor_pv * chapter.item('D301010_photovoltaic_system').reposition[
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0] * costs_increase
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capital_cost_heating_equipment = total_floor_area * factor_heating_power * chapter.item('D3020_heat_generating_systems').initial_investment[0]
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capital_cost_heating_equipment = total_floor_area * factor_heating_power \
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* chapter.item('D3020_heat_generating_systems').initial_investment[0]
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capital_cost_cooling_equipment = total_floor_area * factor_cooling_power * chapter.item('D3030_cooling_generation_systems').initial_investment[0]
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capital_cost_cooling_equipment = total_floor_area * factor_cooling_power \
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* chapter.item('D3030_cooling_generation_systems').initial_investment[0]
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capital_cost_distribution_equipment = total_floor_area * factor_cooling_power * chapter.item('D3040_distribution_systems').initial_investment[0]
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capital_cost_distribution_equipment = total_floor_area * factor_cooling_power \
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* chapter.item('D3040_distribution_systems').initial_investment[0]
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capital_cost_other_hvac_ahu = total_floor_area * factor_cooling_power * chapter.item('D3080_other_hvac_ahu').initial_investment[0]
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capital_cost_other_hvac_ahu = total_floor_area * factor_cooling_power \
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* chapter.item('D3080_other_hvac_ahu').initial_investment[0]
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capital_cost_lighting = total_floor_area * factor_pv * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
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capital_cost_lighting = total_floor_area * factor_pv \
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* chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
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capital_cost_services=capital_cost_pv+capital_cost_heating_equipment+capital_cost_cooling_equipment+capital_cost_distribution_equipment+capital_cost_other_hvac_ahu+capital_cost_lighting
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capital_cost_services = capital_cost_pv + capital_cost_heating_equipment + capital_cost_cooling_equipment\
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+ capital_cost_distribution_equipment + capital_cost_other_hvac_ahu \
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+ capital_cost_lighting
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reposition_cost_heating_equipment = 0
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reposition_cost_cooling_equipment = 0
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reposition_cost_lighting = 0
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reposition_cost_hvac_ahu = 0
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capital_cost_pv = 0
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reposition_cost_PV = 0
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reposition_cost_pv = 0
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for year in range(1, self._number_of_years + 1):
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chapter = chapters.chapter('D_services')
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@ -119,41 +113,28 @@ class LifeCycleCosts:
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chapter.item('D3080_other_hvac_ahu').reposition[
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0] * costs_increase
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if (year % chapter.item('D5020_lighting_and_branch_wiring').lifetime) == 0:
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reposition_cost_lighting = total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').reposition[
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0] * costs_increase
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reposition_cost_lighting = total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').reposition[0] \
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* costs_increase
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capital_cost_subtotal = capital_cost_skin + capital_cost_services
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capital_cost_total = capital_cost_subtotal*(1+chapters.design_allowance)*(1+chapters.overhead_and_profit)
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capital_cost_total = capital_cost_subtotal * (1+chapters.design_allowance) * (1+chapters.overhead_and_profit)
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reposition_cost_subtotal = reposition_cost_PV + reposition_cost_heating_equipment + reposition_cost_cooling_equipment + reposition_cost_hvac_ahu + reposition_cost_hvac_ahu + reposition_cost_lighting
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reposition_cost_subtotal = reposition_cost_pv + reposition_cost_heating_equipment \
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+ reposition_cost_cooling_equipment + reposition_cost_hvac_ahu \
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+ reposition_cost_hvac_ahu + reposition_cost_lighting
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reposition_cost_total = reposition_cost_subtotal * (1+chapters.design_allowance)*(1+chapters.overhead_and_profit)
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reposition_cost_total = reposition_cost_subtotal * (1+chapters.design_allowance) * (1+chapters.overhead_and_profit)
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life_cycle_cost_capital_total = capital_cost_total + reposition_cost_total
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return life_cycle_cost_capital_total
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@staticmethod
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def _search_archetype(costs_catalog, function):
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costs_archetypes = costs_catalog.entries('archetypes').archetypes
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for building_archetype in costs_archetypes:
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if str(function) == str(building_archetype.function):
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return building_archetype
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raise KeyError('archetype not found')
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def calculate_end_of_life_costs(self):
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building = self._building
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total_floor_area = 0
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archetype = self._archetype
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try:
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function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
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archetype = self._search_archetype(self._cost_catalog, function)
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except KeyError:
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logger.error(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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return
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total_floor_area = 0
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for internal_zone in building.internal_zones:
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for thermal_zone in internal_zone.thermal_zones:
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@ -165,79 +146,69 @@ class LifeCycleCosts:
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price_increase += math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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price_increase_average = price_increase/self._number_of_years
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return total_floor_area*archetype.end_of_life_cost*price_increase_average
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return total_floor_area * archetype.end_of_life_cost*price_increase_average
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def calculate_total_operational_costs(self):
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total_operational_costs = 0
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peak_cost=0
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monthly_cost=0
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variable_cost=0
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building = self._building
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total_floor_area = 0
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archetype = self._archetype
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try:
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function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
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archetype = self._search_archetype(self._cost_catalog, function)
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except KeyError:
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logger.error(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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return
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total_operational_costs = 0
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peak_cost = 0
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monthly_cost = 0
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variable_cost = 0
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total_floor_area = 0
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for internal_zone in building.internal_zones:
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for thermal_zone in internal_zone.thermal_zones:
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total_floor_area += thermal_zone.total_floor_area
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if self._retrofitting_scenario==1 or self._retrofitting_scenario==3:
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specific_heating_demand=50
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if self._retrofitting_scenario == 1 or self._retrofitting_scenario == 3:
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specific_heating_demand = 50
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else:
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specific_heating_demand=190
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specific_heating_demand = 190
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heating_demand= specific_heating_demand * total_floor_area
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cooling_demand= 10 * total_floor_area
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heating_demand = specific_heating_demand * total_floor_area
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cooling_demand = 10 * total_floor_area
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if self._retrofitting_scenario==2 or self._retrofitting_scenario==3:
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heating_SCOP=3
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cooling_SEER=4.5
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if self._retrofitting_scenario == 2 or self._retrofitting_scenario == 3:
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heating_scop = 3
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cooling_seer = 4.5
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else:
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heating_SCOP = 1
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cooling_SEER = 2
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heating_scop = 1
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cooling_seer = 2
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electricity_heating=heating_demand/heating_SCOP
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electricity_cooling=cooling_demand/cooling_SEER
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electricity_lighting=11* total_floor_area
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electricity_plug_loads=19*total_floor_area
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domestic_hot_water_demand= 50* total_floor_area
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electricity_heating = heating_demand/heating_scop
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electricity_cooling = cooling_demand/cooling_seer
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electricity_lighting = 11 * total_floor_area
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electricity_plug_loads = 19 * total_floor_area
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domestic_hot_water_demand = 50 * total_floor_area
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total_electricity_consumption= electricity_cooling+electricity_heating+electricity_lighting+domestic_hot_water_demand+electricity_plug_loads
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total_electricity_consumption = electricity_cooling + electricity_heating + electricity_lighting \
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+ domestic_hot_water_demand + electricity_plug_loads
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peak_electricity_demand= 0.1*total_floor_area
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peak_electricity_demand = 0.1 * total_floor_area
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operational_cost_year_0=total_electricity_consumption*archetype.operational_cost.fuels[0].variable[0]
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peak_cost_year_0=peak_electricity_demand*archetype.operational_cost.fuels[0].fixed_power*12
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monthly_cost_year_0=archetype.operational_cost.fuels[0].fixed_monthly*12*(total_floor_area/100)
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operational_cost_year_0 = total_electricity_consumption * archetype.operational_cost.fuels[0].variable[0]
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peak_cost_year_0 = peak_electricity_demand * archetype.operational_cost.fuels[0].fixed_power * 12
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monthly_cost_year_0 = archetype.operational_cost.fuels[0].fixed_monthly * 12 * (total_floor_area/100)
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print(f'operational_cost_year_0 {operational_cost_year_0}')
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print(f'peak_cost_year_0 {peak_cost_year_0}')
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print(f'monthly_cost_year_0 {monthly_cost_year_0}')
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for year in range(1, self._number_of_years + 1):
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peak_cost += operational_cost_year_0 \
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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monthly_cost +=peak_cost_year_0 \
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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variable_cost +=monthly_cost_year_0 \
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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monthly_cost += peak_cost_year_0 \
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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variable_cost += monthly_cost_year_0 \
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* math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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total_operational_costs = peak_cost + monthly_cost + variable_cost
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return total_operational_costs
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def calculate_total_maintenance_costs(self):
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building = self._building
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archetype = self._archetype
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total_floor_area = 0
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factor_pv = 0.5
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@ -248,30 +219,20 @@ class LifeCycleCosts:
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maintenance_heating = 0
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maintenance_cooling = 0
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try:
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function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
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archetype = self._search_archetype(self._cost_catalog, function)
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except KeyError:
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logger.error(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
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f'{building.function}\n')
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return
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for internal_zone in building.internal_zones:
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for thermal_zone in internal_zone.thermal_zones:
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total_floor_area+=thermal_zone.total_floor_area
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total_floor_area += thermal_zone.total_floor_area
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for thermal_boundary in thermal_zone.thermal_boundaries:
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if thermal_boundary.type == 'Roof':
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surface_roof += thermal_boundary.opaque_area
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surface_pv = surface_roof*factor_pv
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maintenance_pv_0=surface_pv*archetype.operational_cost.maintenance_pv
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maintenance_heating_0=total_floor_area*factor_heating_power*archetype.operational_cost.maintenance_heating
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maintenance_cooling_0=total_floor_area*factor_cooling_power*archetype.operational_cost.maintenance_cooling
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maintenance_pv_0 = surface_pv * archetype.operational_cost.maintenance_pv
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maintenance_heating_0 = total_floor_area*factor_heating_power * archetype.operational_cost.maintenance_heating
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maintenance_cooling_0 = total_floor_area*factor_cooling_power * archetype.operational_cost.maintenance_cooling
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for year in range(1, self._number_of_years + 1):
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costs_increase = math.pow(1 + self._consumer_price_index, year) / math.pow(1 + self._discount_rate, year)
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maintenance_pv +=maintenance_pv_0*costs_increase
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maintenance_heating +=maintenance_heating_0*costs_increase
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maintenance_cooling +=maintenance_cooling_0*costs_increase
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maintenance_pv += maintenance_pv_0 * costs_increase
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maintenance_heating += maintenance_heating_0 * costs_increase
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maintenance_cooling += maintenance_cooling_0 * costs_increase
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total_maintenance_costs = maintenance_pv + maintenance_heating + maintenance_cooling
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return total_maintenance_costs
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45
main.py
45
main.py
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@ -6,14 +6,26 @@ Copyright © 2022 Project Author Pilar Monsalvete Álvarez de Uribarri pilar.mon
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import glob
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import os
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from pathlib import Path
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import sys
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from hub.imports.construction_factory import ConstructionFactory
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from hub.helpers.dictionaries import Dictionaries
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from pathlib import Path
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from hub.hub_logger import logger
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from hub.imports.geometry_factory import GeometryFactory
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from life_cycle_costs import LifeCycleCosts
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from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
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from life_cycle_costs import LifeCycleCosts
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def _search_archetype(costs_catalog, building_function):
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costs_archetypes = costs_catalog.entries('archetypes').archetypes
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for building_archetype in costs_archetypes:
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if str(building_function) == str(building_archetype.function):
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return building_archetype
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raise KeyError('archetype not found')
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file_path = (Path(__file__).parent.parent / 'costs_workflow' / 'input_files' / 'selected_building_2864.geojson')
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out_path = (Path(__file__).parent.parent / 'costs_workflow' / 'out_files')
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files = glob.glob(f'{out_path}/*')
|
||||
|
|
@ -35,19 +47,30 @@ print('enrich constructions... done')
|
|||
number_of_years = 30
|
||||
consumer_price_index = 0.04
|
||||
discount_rate = 0.03
|
||||
#retrofitting_scenario = 2
|
||||
retrofitting_scenarios = [0, 1, 2, 3]
|
||||
catalog = CostCatalogFactory('montreal_custom').catalog
|
||||
|
||||
for i in range(0,4) :
|
||||
for building in city.buildings:
|
||||
lcc = LifeCycleCosts(building, catalog, number_of_years, consumer_price_index, discount_rate, i)
|
||||
for building in city.buildings:
|
||||
try:
|
||||
function = Dictionaries().hub_function_to_montreal_custom_costs_function[building.function]
|
||||
archetype = _search_archetype(catalog, function)
|
||||
except KeyError:
|
||||
logger.error(f'Building {building.name} has unknown costs archetype for building function: '
|
||||
f'{building.function}\n')
|
||||
sys.stderr.write(f'Building {building.name} has unknown costs archetype for building function: '
|
||||
f'{building.function}\n')
|
||||
continue
|
||||
|
||||
for retrofitting_scenario in retrofitting_scenarios:
|
||||
lcc = LifeCycleCosts(building, archetype, number_of_years, consumer_price_index,
|
||||
discount_rate, retrofitting_scenario)
|
||||
total_capital_costs = lcc.calculate_capital_costs()
|
||||
print(f'total capital costs scenario {i} are {total_capital_costs}')
|
||||
print(f'total capital costs scenario {retrofitting_scenario} are {total_capital_costs}')
|
||||
end_of_life_costs = lcc.calculate_end_of_life_costs()
|
||||
print(f'end_of_life_costs scenario {i} are {end_of_life_costs}')
|
||||
print(f'end_of_life_costs scenario {retrofitting_scenario} are {end_of_life_costs}')
|
||||
total_operational_costs = lcc.calculate_total_operational_costs()
|
||||
print(f'total_operational_costs scenario {i} are {total_operational_costs}')
|
||||
print(f'total_operational_costs scenario {retrofitting_scenario} are {total_operational_costs}')
|
||||
total_maintenance_costs = lcc.calculate_total_maintenance_costs()
|
||||
print(f'total_maintenance_costs scenario {i} are {total_maintenance_costs}')
|
||||
print(f'total_maintenance_costs scenario {retrofitting_scenario} are {total_maintenance_costs}')
|
||||
life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
|
||||
print(f'life_cycle_costs scenario {i} are {life_cycle_costs}')
|
||||
print(f'life_cycle_costs scenario {retrofitting_scenario} are {life_cycle_costs}')
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user