Refining of outputs and prepared outputs for the inclusion of system results.
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@ -15,8 +15,7 @@ import hub.helpers.constants as cte
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class LifeCycleCosts:
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def __init__(self, building, archetype, number_of_years, consumer_price_index, discount_rate,
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retrofitting_scenario, heating_scop, cooling_seer, peak_electricity_demand,
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factor_pv, factor_peak_lights):
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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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@ -33,13 +32,8 @@ class LifeCycleCosts:
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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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self._peak_lights = factor_peak_lights
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#todo: revise if it works
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rng = range(40)
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rng = range(number_of_years)
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self._yearly_capital_costs = pd.DataFrame(index=rng, columns=['B2010_opaque_walls', 'B2020_transparent',
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'B3010_opaque_roof','B10_superstructure',
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'D301010_photovoltaic_system','D3020_heat_generating_systems',
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@ -51,7 +45,6 @@ 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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factor_pv = self._factor_pv
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surface_opaque = 0
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surface_transparent = 0
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@ -68,15 +61,17 @@ class LifeCycleCosts:
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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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surface_transparent += thermal_boundary.opaque_area * thermal_boundary.window_ratio
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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 = 0.1*self._total_floor_area
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peak_cooling = 0.1*self._total_floor_area
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peak_heating = building.heating_peak_load[cte.YEAR].values[0]
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peak_cooling = building.cooling_peak_load[cte.YEAR].values[0]
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#todo: put the value of area_pv when it exists
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surface_pv = 10 #building.area_pv
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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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@ -89,17 +84,18 @@ class LifeCycleCosts:
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self._yearly_capital_costs.loc[0]['B3010_opaque_roof'],self._yearly_capital_costs.loc[0]['B10_superstructure'],\
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self._yearly_capital_costs.loc[0]['B_Shell']\
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=[capital_cost_opaque , capital_cost_transparent , capital_cost_roof , capital_cost_ground , 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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self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system']=capital_cost_pv
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capital_cost_pv = surface_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
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self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system'] = capital_cost_pv
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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_pv * chapter.item('D301010_photovoltaic_system').reposition[
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0] * costs_increase
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self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_roof * \
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factor_pv * chapter.item('D301010_photovoltaic_system').reposition[0] * costs_increase
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self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] = surface_pv\
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* chapter.item('D301010_photovoltaic_system').reposition[0] * costs_increase
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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 = peak_cooling \
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@ -107,12 +103,14 @@ class LifeCycleCosts:
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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 = peak_cooling * chapter.item('D3080_other_hvac_ahu').initial_investment[0]
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capital_cost_lighting = total_floor_area * self._peak_lights \
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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\
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+ capital_cost_distribution_equipment + capital_cost_other_hvac_ahu \
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+ capital_cost_lighting
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self._yearly_capital_costs.loc[0]['D3020_heat_generating_systems'], self._yearly_capital_costs.loc[0]['D3030_cooling_generation_systems'], \
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self._yearly_capital_costs.loc[0]['D3040_distribution_systems'], self._yearly_capital_costs.loc[0]['D3080_other_hvac_ahu'], \
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self._yearly_capital_costs.loc[0]['D5020_lighting_and_branch_wiring'], self._yearly_capital_costs.loc[0]['D_services'] \
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@ -127,22 +125,27 @@ class LifeCycleCosts:
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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 = peak_heating * chapter.item('D3020_heat_generating_systems').reposition[0] \
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* costs_increase
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self._yearly_capital_costs.loc[year]['D3020_heat_generating_systems'] = reposition_cost_heating_equipment
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if (year % chapter.item('D3030_cooling_generation_systems').lifetime) == 0:
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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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self._yearly_capital_costs.loc[year]['D3030_cooling_generation_systems'] = reposition_cost_cooling_equipment
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if (year % chapter.item('D3080_other_hvac_ahu').lifetime) == 0:
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reposition_cost_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').reposition[0] * costs_increase
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self._yearly_capital_costs.loc[year]['D3080_other_hvac_ahu'] = reposition_cost_hvac_ahu
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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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self._yearly_capital_costs.loc[year]['D5020_lighting_and_branch_wiring'] = reposition_cost_lighting
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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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@ -172,31 +175,34 @@ class LifeCycleCosts:
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def calculate_total_operational_costs(self):
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building = self._building
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archetype = self._archetype
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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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variable_incomes = 0
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total_floor_area = self._total_floor_area
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electricity_heating = building.heating[cte.YEAR]['insel meb'] / (self._heating_scop*1000)
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electricity_cooling = building.cooling[cte.YEAR]['insel meb'] / (self._cooling_seer*1000)
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electricity_lighting = building.lighting_electrical_demand['month']['insel meb'].sum()/1000
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domestic_hot_water_demand = building.domestic_hot_water_heat_demand['month']['insel meb'].sum()/1000
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electricity_plug_loads = building.appliances_electrical_demand['month']['insel meb'].sum()/1000
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total_electricity_consumption = electricity_cooling[0] + electricity_heating[0] + electricity_lighting \
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#todo: split the heating between fuels
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electricity_heating = building.heating_consumption[cte.YEAR][0] / (1000)
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electricity_cooling = building.cooling_consumption[cte.YEAR][0] / (1000)
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electricity_lighting = building.lighting_electrical_demand[cte.YEAR]['insel meb']/1000
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domestic_hot_water_demand = building.domestic_hot_water_consumption[cte.YEAR][0]/1000
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electricity_plug_loads = building.appliances_electrical_demand[cte.YEAR]['insel meb']/1000
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if (building.onsite_electrical_production[cte.YEAR][0] is None):
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onsite_electricity_production = 0
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else:
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onsite_electricity_production= building.onsite_electrical_production[cte.YEAR][0]/1000
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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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print(f'total electricity consumption: {total_electricity_consumption}')
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print(f'total electricity production: {onsite_electricity_production}')
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peak_electricity_demand = self._peak_electricity_demand
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#todo: change when peak electricity demand is coded
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peak_electricity_demand = 100 #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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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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incomes_year_0 = onsite_electricity_production * archetype.operational_cost.fuels[0].variable[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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@ -205,27 +211,23 @@ class LifeCycleCosts:
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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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variable_incomes += incomes_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 - variable_incomes
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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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factor_pv = self._factor_pv
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surface_roof = 0
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#todo: change area pv when the variable exists
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surface_pv = 10 #building.area_pv
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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 = 0.1 * self._total_floor_area
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peak_cooling = 0.1 * self._total_floor_area
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peak_heating = building.heating_peak_load
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peak_cooling = building.cooling_peak_load
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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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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 = 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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155
main.py
155
main.py
@ -21,10 +21,11 @@ from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
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import hub.helpers.constants as cte
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from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
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from sra_engine import SraEngine
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from hub.imports.energy_systems_factory import EnergySystemsFactory
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from energy_systems_sizing import EnergySystemsSizing
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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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@ -32,19 +33,18 @@ def _search_archetype(costs_catalog, building_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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climate_reference_city = 'Montreal'
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weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
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weather_format = 'epw'
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construction_format = 'nrcan'
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usage_format = 'nrcan'
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usage_format = 'comnet'
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energy_systems_format = 'montreal_custom'
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attic_heated_case = 0
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basement_heated_case = 1
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tmp_folder = (Path(__file__).parent.parent/'monthly_energy_balance_workflow'/'tmp')
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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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retrofitting_year_of_construction = 2015
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for file in files:
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if file != '.gitignore':
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@ -53,86 +53,89 @@ for file in files:
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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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peak_electricity_demand = 33
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factor_pv = 0.5
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factor_peak_lights = 0.07
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retrofitting_year_of_construction =2020
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retrofitting_scenarios = [0, 1, 2, 3]
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life_cycle_results = pd.DataFrame()
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print('[city creation start]')
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city = GeometryFactory('geojson',
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path=file_path,
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height_field='heightmax',
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name_field='OBJECTID_12',
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year_of_construction_field='ANNEE_CONS',
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function_field='CODE_UTILI',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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print(f'city created from {file_path}')
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city.climate_reference_city = climate_reference_city
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city.climate_file = (tmp_folder / f'{climate_reference_city}.cli').resolve()
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print(f'city created from {file_path}')
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WeatherFactory(weather_format, city, file_name=weather_file).enrich()
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print('enrich weather... done')
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ConstructionFactory(construction_format, city).enrich()
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print('enrich constructions... done')
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UsageFactory(usage_format, city).enrich()
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print('enrich usage... done')
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for building in city.buildings:
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building.energy_systems_archetype_name = 'system 1 gas'
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EnergySystemsFactory(energy_systems_format, city).enrich()
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print('enrich systems... done')
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print('exporting:')
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catalog = CostCatalogFactory('montreal_custom').catalog
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print('costs catalog access... done')
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sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
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SraEngine(city, sra_file, tmp_folder, weather_file)
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print(' sra processed...')
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for building in city.buildings:
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building.attic_heated = attic_heated_case
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building.basement_heated = basement_heated_case
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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 = 2.8
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print('[simulation start]')
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city = GeometryFactory('geojson',
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path=file_path,
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height_field='heightmax',
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name_field='OBJECTID_12',
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year_of_construction_field='ANNEE_CONS',
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function_field='CODE_UTILI',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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print(f'city created from {file_path}')
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city.climate_reference_city = climate_reference_city
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city.climate_file = (tmp_folder / f'{climate_reference_city}.cli').resolve()
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print(f'city created from {file_path}')
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WeatherFactory(weather_format, city, file_name=weather_file).enrich()
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print('enrich weather... done')
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UsageFactory(usage_format, city).enrich()
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print('enrich usage... done')
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catalog = CostCatalogFactory('montreal_custom').catalog
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print('costs catalog access... done')
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if retrofitting_scenario == 0 or retrofitting_scenario == 2:
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for building in city.buildings:
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building.year_of_construction = retrofitting_year_of_construction
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ConstructionFactory(construction_format, city).enrich()
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print('enrich constructions... done')
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# sra + monthly running
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print('exporting:')
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sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
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SraEngine(city, sra_file, tmp_folder, weather_file)
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# Assign radiation to the city
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print(' sra processed...')
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if retrofitting_scenario == 1 or retrofitting_scenario==3:
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for building in city.buildings:
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building.year_of_construction=2020
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ConstructionFactory(construction_format, city).enrich()
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print('enrich retrofitted constructions... done')
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if retrofitting_scenario==2 or retrofitting_scenario==3:
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for building in city.buildings:
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building.attic_heated = attic_heated_case
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building.basement_heated = basement_heated_case
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building.energy_systems_archetype_name = 'system 6 electricity pv'
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EnergySystemsFactory(energy_systems_format, city).enrich()
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print('enrich systems... done')
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MonthlyEnergyBalanceEngine(city, tmp_folder)
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MonthlyEnergyBalanceEngine(city, tmp_folder)
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for building in city.buildings:
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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 = _search_archetype(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: '
|
||||
f'{building.function}\n')
|
||||
continue
|
||||
lcc = LifeCycleCosts(building, archetype, number_of_years, consumer_price_index,
|
||||
discount_rate, retrofitting_scenario, heating_scop, cooling_seer,
|
||||
peak_electricity_demand, factor_pv,factor_peak_lights)
|
||||
EnergySystemsSizing(city).enrich()
|
||||
|
||||
print(f'beginning costing scenario {retrofitting_scenario} systems... done')
|
||||
|
||||
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
|
||||
print('lcc for first building started')
|
||||
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 {total_capital_costs}')
|
||||
end_of_life_costs = lcc.calculate_end_of_life_costs()
|
||||
total_operational_costs = lcc.calculate_total_operational_costs()
|
||||
total_maintenance_costs = lcc.calculate_total_maintenance_costs()
|
||||
life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
|
||||
life_cycle_results[f'Scenario {retrofitting_scenario}'] = [total_capital_costs, end_of_life_costs,
|
||||
total_operational_costs, total_maintenance_costs,
|
||||
life_cycle_costs]
|
||||
|
||||
life_cycle_results.index = ['total_capital_costs','end_of_life_costs', 'total_operational_costs',
|
||||
'total_maintenance_costs','life_cycle_costs']
|
||||
|
||||
life_cycle_results.to_excel(Path(__file__).parent/'out_files'/'Results.xlsx', index=True)
|
||||
|
||||
total_capital_costs, yearly_capital_costs = lcc.calculate_capital_costs()
|
||||
end_of_life_costs = lcc.calculate_end_of_life_costs()
|
||||
total_operational_costs = lcc.calculate_total_operational_costs()
|
||||
total_maintenance_costs = lcc.calculate_total_maintenance_costs()
|
||||
life_cycle_costs = total_capital_costs + end_of_life_costs + total_operational_costs + total_maintenance_costs
|
||||
life_cycle_results[f'Scenario {retrofitting_scenario}'] = [total_capital_costs, end_of_life_costs,
|
||||
total_operational_costs, total_maintenance_costs,
|
||||
life_cycle_costs]
|
||||
life_cycle_results.index = ['total_capital_costs', 'end_of_life_costs', 'total_operational_costs',
|
||||
'total_maintenance_costs', 'life_cycle_costs']
|
||||
life_cycle_results.to_excel(Path(__file__).parent/'out_files'/'Results.xlsx', index=True)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user