some reorganization to avoid hard-coding
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@ -7,11 +7,12 @@ Project contributor 2023 Author Oriol Gavaldà Torrellas oriol.gavalda@concordia
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import math
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import hub.helpers.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, archetype, number_of_years, consumer_price_index, discount_rate,
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retrofitting_scenario):
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retrofitting_scenario, heating_scop, cooling_seer, peak_electricity_demand, factor_pv):
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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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@ -23,24 +24,29 @@ class LifeCycleCosts:
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self._fuels = 0
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self._concepts = 0
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self._retrofitting_scenario = retrofitting_scenario
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self._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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self._total_floor_area += thermal_zone.total_floor_area
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self._heating_scop = heating_scop
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self._cooling_seer = cooling_seer
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self._peak_electricity_demand = peak_electricity_demand
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self._factor_pv = factor_pv
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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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factor_pv = self._factor_pv
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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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total_floor_area = self._total_floor_area
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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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@ -54,6 +60,11 @@ class LifeCycleCosts:
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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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reposition_cost_pv = 0
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peak_heating = building.heating_peak_load[cte.YEAR]['insel'][0]
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peak_cooling = building.cooling_peak_load[cte.YEAR]['insel'][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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@ -65,24 +76,22 @@ class LifeCycleCosts:
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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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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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0] * costs_increase
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capital_cost_heating_equipment = total_floor_area * factor_heating_power \
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capital_cost_heating_equipment = peak_heating \
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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 \
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capital_cost_cooling_equipment = peak_cooling \
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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 \
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capital_cost_distribution_equipment = peak_cooling \
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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 \
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* chapter.item('D3080_other_hvac_ahu').initial_investment[0]
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capital_cost_other_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').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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@ -95,23 +104,19 @@ class LifeCycleCosts:
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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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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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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('D3020_heat_generating_systems').lifetime) == 0:
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reposition_cost_heating_equipment = total_floor_area * factor_heating_power * \
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chapter.item('D3020_heat_generating_systems').reposition[
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0] * costs_increase
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reposition_cost_heating_equipment = peak_heating * chapter.item('D3020_heat_generating_systems').reposition[0] \
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* costs_increase
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if (year % chapter.item('D3030_cooling_generation_systems').lifetime) == 0:
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reposition_cost_cooling_equipment = total_floor_area * factor_cooling_power * \
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chapter.item('D3030_cooling_generation_systems').reposition[
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0] * costs_increase
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reposition_cost_cooling_equipment = peak_cooling \
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* chapter.item('D3030_cooling_generation_systems').reposition[0] \
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* costs_increase
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if (year % chapter.item('D3080_other_hvac_ahu').lifetime) == 0:
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reposition_cost_hvac_ahu = total_floor_area * factor_cooling_power * \
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chapter.item('D3080_other_hvac_ahu').reposition[
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0] * costs_increase
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reposition_cost_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').reposition[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[0] \
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* costs_increase
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@ -131,15 +136,9 @@ class LifeCycleCosts:
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return life_cycle_cost_capital_total
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def calculate_end_of_life_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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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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total_floor_area = self._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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@ -156,37 +155,17 @@ class LifeCycleCosts:
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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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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 = 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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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_floor_area = self._total_floor_area
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electricity_heating = building.heating[cte.YEAR]['insel'][0] / self._heating_scop
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electricity_cooling = building.cooling[cte.YEAR]['insel'][0] / self._cooling_seer
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electricity_lighting = building.lighting_electrical_demand[cte.YEAR]['insel'][0]
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domestic_hot_water_demand = building.domestic_hot_water_heat_demand[cte.YEAR]['insel'][0]
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electricity_plug_loads = building.appliances_electrical_demand[cte.YEAR]['insel'][0]
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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 = self._peak_electricity_demand
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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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@ -209,26 +188,25 @@ class LifeCycleCosts:
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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 = self._factor_pv
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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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peak_heating = building.heating_peak_load[cte.YEAR]['insel'][0]
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peak_cooling = building.cooling_peak_load[cte.YEAR]['insel'][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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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_heating_0 = peak_heating * archetype.operational_cost.maintenance_heating
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maintenance_cooling_0 = peak_cooling * 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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25
main.py
25
main.py
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@ -14,6 +14,7 @@ from hub.helpers.dictionaries import Dictionaries
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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 hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
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import hub.helpers.constants as cte
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from life_cycle_costs import LifeCycleCosts
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@ -44,11 +45,23 @@ 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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catalog = CostCatalogFactory('montreal_custom').catalog
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print('costs catalog access... done')
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number_of_years = 30
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consumer_price_index = 0.04
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discount_rate = 0.03
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for building in city.buildings:
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building.heating[cte.YEAR]['insel'] = [23]
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building.cooling[cte.YEAR]['insel'] = [13]
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building.lighting_electrical_demand[cte.YEAR]['insel'] = [58]
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building.appliances_electrical_demand[cte.YEAR]['insel'] = [32]
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building.domestic_hot_water_heat_demand[cte.YEAR]['insel'] = [22]
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peak_electricity_demand = 33
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factor_pv = 0.5
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retrofitting_scenarios = [0, 1, 2, 3]
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catalog = CostCatalogFactory('montreal_custom').catalog
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for building in city.buildings:
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try:
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@ -62,8 +75,16 @@ for building in city.buildings:
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continue
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for retrofitting_scenario in retrofitting_scenarios:
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if retrofitting_scenario == 2 or 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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lcc = LifeCycleCosts(building, archetype, number_of_years, consumer_price_index,
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discount_rate, retrofitting_scenario)
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discount_rate, retrofitting_scenario, heating_scop, cooling_seer,
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peak_electricity_demand, factor_pv)
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total_capital_costs = lcc.calculate_capital_costs()
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print(f'total capital costs scenario {retrofitting_scenario} are {total_capital_costs}')
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end_of_life_costs = lcc.calculate_end_of_life_costs()
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