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Merge remote-tracking branch 'origin/main'

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# Conflicts:
#	costs/__main__.py
#	costs/life_cycle_costs.py
This commit is contained in:
Oriol Gavalda 2023-06-01 08:47:20 -04:00
commit dd0317c979
3 changed files with 41 additions and 29 deletions
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18
costs/__init__.py
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@ -5,18 +5,13 @@ import glob
import os import os
from pathlib import Path from pathlib import Path
CLIMATE_REFERENCE_CITY = 'Montreal' # configurable parameters
WEATHER_FILE = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw' file_path = Path('./data/selected_building_2864.geojson').resolve()
WEATHER_FORMAT = 'epw'
CONSTRUCTION_FORMAT = 'nrcan' CONSTRUCTION_FORMAT = 'nrcan'
USAGE_FORMAT = 'comnet' USAGE_FORMAT = 'comnet'
ENERGY_SYSTEM_FORMAT = 'montreal_custom' ENERGY_SYSTEM_FORMAT = 'montreal_custom'
ATTIC_HEATED_CASE = 0 ATTIC_HEATED_CASE = 0
BASEMENT_HEATED_CASE = 1 BASEMENT_HEATED_CASE = 1
CURRENT_STATUS = 0
SKIN_RETROFIT = 1
SYSTEM_RETROFIT_AND_PV = 2
SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV = 3
NUMBER_OF_YEARS = 31 NUMBER_OF_YEARS = 31
PERCENTAGE_CREDIT = 0 PERCENTAGE_CREDIT = 0
INTEREST_RATE = 0.04 INTEREST_RATE = 0.04
@ -27,13 +22,20 @@ ELECTRICITY_PRICE_INDEX = 0.05
GAS_PRICE_INDEX = 0.05 GAS_PRICE_INDEX = 0.05
DISCOUNT_RATE = 0.03 DISCOUNT_RATE = 0.03
RETROFITTING_YEAR_CONSTRUCTION = 2020 RETROFITTING_YEAR_CONSTRUCTION = 2020
CLIMATE_REFERENCE_CITY = 'Montreal'
WEATHER_FILE = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
WEATHER_FORMAT = 'epw'
CURRENT_STATUS = 0
SKIN_RETROFIT = 1
SYSTEM_RETROFIT_AND_PV = 2
SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV = 3
RETROFITTING_SCENARIOS = [ RETROFITTING_SCENARIOS = [
CURRENT_STATUS, CURRENT_STATUS,
SKIN_RETROFIT, SKIN_RETROFIT,
SYSTEM_RETROFIT_AND_PV, SYSTEM_RETROFIT_AND_PV,
SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
] ]
file_path = Path('./data/selected_building_2864.geojson').resolve()
tmp_folder = Path('./tmp').resolve() tmp_folder = Path('./tmp').resolve()
out_path = Path('./outputs').resolve() out_path = Path('./outputs').resolve()
files = glob.glob(f'{out_path}/*') files = glob.glob(f'{out_path}/*')

23
costs/__main__.py
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@ -23,10 +23,11 @@ from sra_engine import SraEngine
from life_cycle_costs import LifeCycleCosts from life_cycle_costs import LifeCycleCosts
# import constants # import constants
from costs import CLIMATE_REFERENCE_CITY, WEATHER_FILE, WEATHER_FORMAT, CONSTRUCTION_FORMAT, USAGE_FORMAT, RETROFITTING_YEAR_CONSTRUCTION from costs import CLIMATE_REFERENCE_CITY, WEATHER_FILE, WEATHER_FORMAT, CONSTRUCTION_FORMAT, USAGE_FORMAT
from costs import ENERGY_SYSTEM_FORMAT, ATTIC_HEATED_CASE, BASEMENT_HEATED_CASE, RETROFITTING_SCENARIOS, NUMBER_OF_YEARS from costs import ENERGY_SYSTEM_FORMAT, ATTIC_HEATED_CASE, BASEMENT_HEATED_CASE, RETROFITTING_SCENARIOS, NUMBER_OF_YEARS
from costs import CONSUMER_PRICE_INDEX, ELECTRICITY_PEAK_INDEX, ELECTRICITY_PRICE_INDEX, GAS_PRICE_INDEX, DISCOUNT_RATE from costs import CONSUMER_PRICE_INDEX, ELECTRICITY_PEAK_INDEX, ELECTRICITY_PRICE_INDEX, GAS_PRICE_INDEX, DISCOUNT_RATE
from costs import SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, PERCENTAGE_CREDIT from costs import SKIN_RETROFIT, SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
from costs import RETROFITTING_YEAR_CONSTRUCTION
# import paths # import paths
from costs import file_path, tmp_folder, out_path from costs import file_path, tmp_folder, out_path
@ -111,7 +112,7 @@ for retrofitting_scenario in RETROFITTING_SCENARIOS:
ELECTRICITY_PRICE_INDEX, GAS_PRICE_INDEX, DISCOUNT_RATE, retrofitting_scenario, FUEL_TYPE) ELECTRICITY_PRICE_INDEX, GAS_PRICE_INDEX, DISCOUNT_RATE, retrofitting_scenario, FUEL_TYPE)
global_capital_costs, global_capital_incomes = lcc.calculate_capital_costs() global_capital_costs, global_capital_incomes = lcc.calculate_capital_costs()
global_end_of_life_costs = lcc.calculate_end_of_life_costs() global_end_of_life_costs = lcc.calculate_end_of_life_costs()
global_operational_costs = lcc.calculate_total_operational_costs() global_operational_costs = lcc.calculate_total_operational_costs
global_maintenance_costs = lcc.calculate_total_maintenance_costs() global_maintenance_costs = lcc.calculate_total_maintenance_costs()
global_operational_incomes = lcc.calculate_total_operational_incomes() global_operational_incomes = lcc.calculate_total_operational_incomes()
full_path_output = Path(out_path / f'output {retrofitting_scenario} {building.name}.xlsx').resolve() full_path_output = Path(out_path / f'output {retrofitting_scenario} {building.name}.xlsx').resolve()
@ -151,8 +152,11 @@ for retrofitting_scenario in RETROFITTING_SCENARIOS:
) )
df_operational_incomes = global_operational_incomes['Incomes electricity'] df_operational_incomes = global_operational_incomes['Incomes electricity']
df_capital_incomes = global_capital_incomes['Subsidies construction'] + global_capital_incomes['Subsidies HVAC'] + \ df_capital_incomes = (
global_capital_incomes['Subsidies PV'] global_capital_incomes['Subsidies construction'] +
global_capital_incomes['Subsidies HVAC'] +
global_capital_incomes['Subsidies PV']
)
life_cycle_costs_capital_skin = _npv_from_list(DISCOUNT_RATE, df_capital_costs_skin.values.tolist()) life_cycle_costs_capital_skin = _npv_from_list(DISCOUNT_RATE, df_capital_costs_skin.values.tolist())
life_cycle_costs_capital_systems = _npv_from_list(DISCOUNT_RATE, df_capital_costs_systems.values.tolist()) life_cycle_costs_capital_systems = _npv_from_list(DISCOUNT_RATE, df_capital_costs_systems.values.tolist())
@ -181,9 +185,12 @@ for retrofitting_scenario in RETROFITTING_SCENARIOS:
life_cycle_capital_incomes] life_cycle_capital_incomes]
life_cycle_results.index = ['total_capital_costs_skin', life_cycle_results.index = ['total_capital_costs_skin',
f'total_capital_costs_systems','end_of_life_costs', 'total_capital_costs_systems',
'total_operational_costs', 'total_maintenance_costs', 'end_of_life_costs',
'operational_incomes', 'capital_incomes'] 'total_operational_costs',
'total_maintenance_costs',
'operational_incomes',
'capital_incomes']
print(life_cycle_results) print(life_cycle_results)
print(f'Scenario {retrofitting_scenario} {life_cycle_costs}') print(f'Scenario {retrofitting_scenario} {life_cycle_costs}')

29
costs/life_cycle_costs.py
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@ -64,6 +64,7 @@ class LifeCycleCosts:
self._yearly_capital_incomes = pd.DataFrame(index=rng, columns=['Subsidies construction', self._yearly_capital_incomes = pd.DataFrame(index=rng, columns=['Subsidies construction',
'Subsidies HVAC', 'Subsidies PV'], dtype='float') 'Subsidies HVAC', 'Subsidies PV'], dtype='float')
def calculate_capital_costs(self): def calculate_capital_costs(self):
""" """
Calculate capital cost Calculate capital cost
@ -215,11 +216,16 @@ class LifeCycleCosts:
* chapter.item( * chapter.item(
'D301010_photovoltaic_system').reposition[0] * costs_increase 'D301010_photovoltaic_system').reposition[0] * costs_increase
capital_cost_skin = capital_cost_opaque + capital_cost_ground + capital_cost_transparent + capital_cost_roof capital_cost_skin = capital_cost_opaque + capital_cost_ground + capital_cost_transparent + capital_cost_roof
capital_cost_hvac = capital_cost_heating_equipment + capital_cost_cooling_equipment + \ capital_cost_hvac = (
capital_cost_distribution_equipment + capital_cost_other_hvac_ahu + capital_cost_lighting capital_cost_heating_equipment +
capital_cost_cooling_equipment +
capital_cost_distribution_equipment +
capital_cost_other_hvac_ahu + capital_cost_lighting
)
self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = capital_cost_skin * \ self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = (
archetype.income.construction_subsidy/100 capital_cost_skin * archetype.income.construction_subsidy/100
)
self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = capital_cost_hvac * archetype.income.hvac_subsidy/100 self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = capital_cost_hvac * archetype.income.hvac_subsidy/100
self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = capital_cost_pv * archetype.income.photovoltaic_subsidy/100 self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = capital_cost_pv * archetype.income.photovoltaic_subsidy/100
self._yearly_capital_incomes.fillna(0, inplace=True) self._yearly_capital_incomes.fillna(0, inplace=True)
@ -233,7 +239,6 @@ class LifeCycleCosts:
archetype = self._archetype archetype = self._archetype
total_floor_area = self._total_floor_area total_floor_area = self._total_floor_area
price_increase = 0
for year in range(1, self._number_of_years + 1): for year in range(1, self._number_of_years + 1):
price_increase = math.pow(1 + self._consumer_price_index, year) price_increase = math.pow(1 + self._consumer_price_index, year)
if year == self._number_of_years: if year == self._number_of_years:
@ -242,6 +247,7 @@ class LifeCycleCosts:
self._yearly_end_of_life_costs.fillna(0, inplace=True) self._yearly_end_of_life_costs.fillna(0, inplace=True)
return self._yearly_end_of_life_costs return self._yearly_end_of_life_costs
@property
def calculate_total_operational_costs(self): def calculate_total_operational_costs(self):
""" """
Calculate total operational costs Calculate total operational costs
@ -312,21 +318,18 @@ class LifeCycleCosts:
:return: pd.DataFrame :return: pd.DataFrame
""" """
building = self._building building = self._building
archetype = self._archetype
if cte.YEAR not in building.onsite_electrical_production: if cte.YEAR not in building.onsite_electrical_production:
onsite_electricity_production = 0 onsite_electricity_production = 0
else: else:
onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0]/1000 onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0]/1000
price_increase_electricity = 0
for year in range(1, self._number_of_years + 1): for year in range(1, self._number_of_years + 1):
price_increase_electricity = math.pow(1 + self._electricity_price_index, year) price_increase_electricity = math.pow(1 + self._electricity_price_index, year)
#todo: check the adequate assignation of price. Pilar # todo: check the adequate assignation of price. Pilar
price_export = 0.075 # archetype.income.electricity_export price_export = 0.075 # archetype.income.electricity_export
self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (onsite_electricity_production * self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (
price_export * onsite_electricity_production * price_export * price_increase_electricity
price_increase_electricity )
)
self._yearly_operational_incomes.fillna(0, inplace=True) self._yearly_operational_incomes.fillna(0, inplace=True)
return self._yearly_operational_incomes return self._yearly_operational_incomes