Main of costs_workflow (with hardcoded values for demands and power) operating. Lifecyclecosts first version
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@ -5,8 +5,10 @@ Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar_mons
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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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@ -30,6 +32,13 @@ class LifeCycleCosts:
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building = self._building
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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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@ -42,20 +51,43 @@ class LifeCycleCosts:
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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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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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surface_ground += thermal_boundary.opaque_area
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elif thermal_boundary.type == 'Roof':
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surface_roof += thermal_boundary.opaque_area
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elif thermal_boundary.type == 'Wall':
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surface_opaque += thermal_boundary.opaque_area * (1-thermal_boundary.window_ratio)
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surface_transparent += thermal_boundary.opaque_area * thermal_boundary.window_ratio
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print(f'total floor area {total_floor_area}')
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chapters = archetype.capital_cost.general_chapters
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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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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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capital_cost_transparent = surface_transparent * chapter.item('B2020_transparent').refurbishment[0]
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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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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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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_cooling_equipment = total_floor_area * factor_cooling_power * 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_other_hvac_ahu = total_floor_area * factor_cooling_power * 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_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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print(f'cost_opaque {capital_cost_opaque}')
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print(f'cost_transparent {capital_cost_transparent}')
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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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return capital_cost_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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@ -64,32 +96,137 @@ class LifeCycleCosts:
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return building_archetype
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raise KeyError('archetype not found')
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'''total_capital_costs = self._capital_costs_at_year_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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# for item in self._items:
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# total_capital_costs += item.reposition_costs[year] * costs_increase
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#return total_capital_costs
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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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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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print(total_floor_area)
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price_increase = 0
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for year in range(1, self._number_of_years + 1):
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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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return self._end_of_life_cost * price_increase
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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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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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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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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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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=1
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cooling_SEER=2.8
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else:
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heating_SCOP = 2.5
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cooling_SEER = 4
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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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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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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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for fuel in self._fuels:
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total_operational_costs += fuel.operational_cost \
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* math.pow(1 + fuel.energy_price_index, year) / math.pow(1 + self._discount_rate, year)
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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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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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total_maintenance_costs = 0
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building = self._building
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total_floor_area = 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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surface_roof = 0
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maintenance_pv = 0
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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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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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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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for concept in self._concepts:
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total_maintenance_costs += concept.mantainance_costs * costs_increase
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return total_maintenance_costs'''
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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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27
main.py
27
main.py
@ -14,7 +14,7 @@ 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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file_path = (Path(__file__).parent.parent / 'costs_workflow' / 'input_files' / 'Citylayers_neighbours.geojson')
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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}/*')
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for file in files:
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@ -32,17 +32,22 @@ city = GeometryFactory('geojson',
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print(f'city created from {file_path}')
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ConstructionFactory('nrcan', city).enrich()
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print('enrich constructions... done')
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number_of_years = 40
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consumer_price_index = 0.1
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number_of_years = 30
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consumer_price_index = 0.04
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discount_rate = 0.06
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retrofitting_scenario = 1
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#retrofitting_scenario = 2
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catalog = CostCatalogFactory('montreal_custom').catalog
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for building in city.buildings:
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lcc = LifeCycleCosts(building, catalog, number_of_years, consumer_price_index, discount_rate, retrofitting_scenario)
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for i in range(1,4) :
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for building in city.buildings:
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lcc = LifeCycleCosts(building, catalog, number_of_years, consumer_price_index, discount_rate, i)
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total_capital_costs = lcc.calculate_capital_costs()
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# end_of_life_costs = lcc.calculate_end_of_life_costs()
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# total_operational_costs = lcc.calculate_total_operational_costs()
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# total_maintenance_costs = lcc.calculate_total_maintenance_costs()
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# life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
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print(f'total capital costs scenario {i} are {total_capital_costs}')
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end_of_life_costs = lcc.calculate_end_of_life_costs()
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print(f'end_of_life_costs scenario {i} are {end_of_life_costs}')
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total_operational_costs = lcc.calculate_total_operational_costs()
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print(f'total_operational_costs scenario {i} are {total_operational_costs}')
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total_maintenance_costs = lcc.calculate_total_maintenance_costs()
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print(f'total_maintenance_costs scenario {i} are {total_maintenance_costs}')
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life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
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print(f'life_cycle_costs scenario {i} are {life_cycle_costs}')
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