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Guille Gutierrez 2023-07-18 16:31:39 -04:00
parent 301ea48953
commit 1b80543bb1
4 changed files with 137 additions and 151 deletions
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26
costs/__init__.py
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@ -1,25 +1,9 @@
"""
Cost workflow initialization
"""
import glob
import os
from pathlib import Path
from .capital_costs import CapitalCosts
from .end_of_life_costs import EndOfLifeCosts
from .total_maintenance_costs import TotalMaintenanceCosts
from .total_operational_costs import TotalOperationalCosts
from .total_operational_incomes import TotalOperationalIncomes
# constants
CURRENT_STATUS = 0
SKIN_RETROFIT = 1
SYSTEM_RETROFIT_AND_PV = 2
SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV = 3
RETROFITTING_SCENARIOS = [
CURRENT_STATUS,
SKIN_RETROFIT,
SYSTEM_RETROFIT_AND_PV,
SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV
]
tmp_folder = Path('./tmp').resolve()
out_path = Path('./outputs').resolve()
files = glob.glob(f'{out_path}/*')
for file in files:
if file != '.gitignore':
os.remove(file)

43
costs/configuration.py
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@ -1,11 +1,7 @@
"""
Configuration module
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Project Author Guille Gutierrez Guillermo.GutierrezMorote@concordia.ca
Code contributor Pilar Monsalvete Alvarez de Uribarri pilar_monsalvete@concordia.ca
Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
"""
from hub.catalog_factories.costs_catalog_factory import CostCatalogFactory
from hub.catalog_factories.costs_catalog_factory import CostsCatalogFactory
from hub.catalog_factories.catalog import Catalog
@ -25,7 +21,10 @@ class Configuration:
gas_price_index,
discount_rate,
retrofitting_year_construction,
factories_handler
factories_handler,
retrofit_scenario,
fuel_type,
dictionary
):
self._number_of_years = number_of_years
self._percentage_credit = percentage_credit
@ -38,7 +37,10 @@ class Configuration:
self._discount_rate = discount_rate
self._retrofitting_year_construction = retrofitting_year_construction
self._factories_handler = factories_handler
self._cost_catalog = CostCatalogFactory(factories_handler).catalog
self._costs_catalog = CostsCatalogFactory(factories_handler).catalog
self._retrofit_scenario = retrofit_scenario
self._fuel_type = fuel_type
self._dictionary = dictionary
@property
def number_of_years(self):
@ -195,8 +197,29 @@ class Configuration:
self._factories_handler = value
@property
def cost_catalog(self) -> Catalog:
def costs_catalog(self) -> Catalog:
"""
Get cost catalog
Get costs catalog
"""
return self._cost_catalog
return self._costs_catalog
@property
def retrofit_scenario(self):
"""
Get retrofit scenario
"""
return self._retrofit_scenario
@property
def fuel_type(self):
"""
Get fuel type (0: Electricity, 1: Gas)
"""
return self._fuel_type
@property
def dictionary(self):
"""
Get hub function to cost function dictionary
"""
return self._dictionary

217
costs/cost.py
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@ -1,20 +1,14 @@
"""
Cost module
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Project Author Guille Gutierrez Guillermo.GutierrezMorote@concordia.ca
Code contributor Pilar Monsalvete Alvarez de Uribarri pilar_monsalvete@concordia.ca
Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
"""
from pathlib import Path
import numpy_financial as npf
import hub.helpers.dictionaries
import pandas as pd
from hub.persistence.models.city_object import CityObject
import numpy_financial as npf
from hub.city_model_structure.building import Building
from configuration import Configuration
from costs.results import Results
from life_cycle_costs import LifeCycleCosts
from costs.configuration import Configuration
from costs import CapitalCosts, EndOfLifeCosts, TotalMaintenanceCosts, TotalOperationalCosts, TotalOperationalIncomes
from costs.constants import CURRENT_STATUS
class Cost:
@ -23,8 +17,7 @@ class Cost:
"""
def __init__(self,
buildings: [CityObject],
buildings_results: dict,
building: Building,
number_of_years=31,
percentage_credit=0,
interest_rate=0.04,
@ -35,9 +28,13 @@ class Cost:
gas_price_index=0.05,
discount_rate=0.03,
retrofitting_year_construction=2020,
factories_handler='montreal_custom'):
self._buildings = buildings
self._results = Results(buildings_results)
factories_handler='montreal_custom',
retrofit_scenario=CURRENT_STATUS,
dictionary=hub.helpers.dictionaries.Dictionaries().hub_function_to_montreal_custom_costs_function):
self._building = building
fuel_type = 0
if "gas" in building.energy_systems_archetype_name:
fuel_type = 1
self._configuration = Configuration(number_of_years,
percentage_credit,
interest_rate, credit_years,
@ -47,21 +44,27 @@ class Cost:
gas_price_index,
discount_rate,
retrofitting_year_construction,
factories_handler)
self._global_capital_costs = None
self._global_capital_incomes = None
self._global_end_of_life_costs = None
self._global_operational_costs = None
self._global_maintenance_costs = None
self._global_operational_incomes = None
factories_handler,
retrofit_scenario,
fuel_type,
dictionary)
def _life_cycle_costs(self, building: CityObject, building_results: dict):
lcc = LifeCycleCosts(building, building_results, self._configuration)
self._global_capital_costs, self._global_capital_incomes = lcc.calculate_capital_costs
self._global_end_of_life_costs = lcc.calculate_end_of_life_costs
self._global_operational_costs = lcc.calculate_total_operational_costs
self._global_maintenance_costs = lcc.calculate_total_maintenance_costs
self._global_operational_incomes = lcc.calculate_total_operational_incomes
@property
def building(self) -> Building:
"""
Get current building.
"""
return self._building
@building.setter
def building(self, value: Building):
"""
Set current building.
"""
self._building = value
def _npv_from_list(self, list_cashflow):
return npf.npv(self._configuration.discount_rate, list_cashflow)
@property
def life_cycle(self) -> pd.DataFrame:
@ -70,93 +73,71 @@ class Cost:
:return: DataFrame
"""
results = pd.DataFrame()
for building_index, building in enumerate(self._buildings):
self._life_cycle_costs(building, self._buildings_results[building_index])
df_capital_costs_skin = (
self._global_capital_costs['B2010_opaque_walls'] +
self._global_capital_costs['B2020_transparent'] +
self._global_capital_costs['B3010_opaque_roof'] +
self._global_capital_costs['B10_superstructure']
)
df_capital_costs_systems = (
self._global_capital_costs['D3020_heat_generating_systems'] +
self._global_capital_costs['D3030_cooling_generation_systems'] +
self._global_capital_costs['D3080_other_hvac_ahu'] +
self._global_capital_costs['D5020_lighting_and_branch_wiring'] +
self._global_capital_costs['D301010_photovoltaic_system']
)
df_end_of_life_costs = self._global_end_of_life_costs['End_of_life_costs']
df_operational_costs = (
self._global_operational_costs['Fixed_costs_electricity_peak'] +
self._global_operational_costs['Fixed_costs_electricity_monthly'] +
self._global_operational_costs['Fixed_costs_electricity_peak'] +
self._global_operational_costs['Fixed_costs_electricity_monthly'] +
self._global_operational_costs['Variable_costs_electricity'] +
self._global_operational_costs['Fixed_costs_gas'] +
self._global_operational_costs['Variable_costs_gas']
)
df_maintenance_costs = (
self._global_maintenance_costs['Heating_maintenance'] +
self._global_maintenance_costs['Cooling_maintenance'] +
self._global_maintenance_costs['PV_maintenance']
)
df_operational_incomes = self._global_operational_incomes['Incomes electricity']
df_capital_incomes = (
self._global_capital_incomes['Subsidies construction'] +
self._global_capital_incomes['Subsidies HVAC'] +
self._global_capital_incomes['Subsidies PV']
)
life_cycle_costs_capital_skin = npf.npv(
self._configuration.discount_rate, df_capital_costs_skin.values.tolist()
)
life_cycle_costs_capital_systems = npf.npv(
self._configuration.discount_rate, df_capital_costs_systems.values.tolist()
)
life_cycle_costs_end_of_life_costs = npf.npv(
self._configuration.discount_rate, df_end_of_life_costs.values.tolist()
)
life_cycle_operational_costs = npf.npv(
self._configuration.discount_rate, df_operational_costs.values.tolist()
)
life_cycle_maintenance_costs = npf.npv(
self._configuration.discount_rate, df_maintenance_costs.values.tolist()
)
life_cycle_operational_incomes = npf.npv(
self._configuration.discount_rate, df_operational_incomes.values.tolist()
)
life_cycle_capital_incomes = npf.npv(
self._configuration.discount_rate, df_capital_incomes.values.tolist()
)
global_capital_costs, global_capital_incomes = CapitalCosts(self._building, self._configuration).calculate()
global_end_of_life_costs = EndOfLifeCosts(self._building, self._configuration).calculate()
global_operational_costs = TotalOperationalCosts(self._building, self._configuration).calculate()
global_maintenance_costs = TotalMaintenanceCosts(self._building, self._configuration).calculate()
global_operational_incomes = TotalOperationalIncomes(self._building, self._configuration).calculate()
results[f'{building.name}_{building.city_id}'] = [life_cycle_costs_capital_skin,
life_cycle_costs_capital_systems,
life_cycle_costs_end_of_life_costs,
life_cycle_operational_costs,
life_cycle_maintenance_costs,
life_cycle_operational_incomes,
life_cycle_capital_incomes]
df_capital_costs_skin = (
global_capital_costs['B2010_opaque_walls'] +
global_capital_costs['B2020_transparent'] +
global_capital_costs['B3010_opaque_roof'] +
global_capital_costs['B10_superstructure']
)
df_capital_costs_systems = (
global_capital_costs['D3020_heat_generating_systems'] +
global_capital_costs['D3030_cooling_generation_systems'] +
global_capital_costs['D3080_other_hvac_ahu'] +
global_capital_costs['D5020_lighting_and_branch_wiring'] +
global_capital_costs['D301010_photovoltaic_system']
)
df_end_of_life_costs = global_end_of_life_costs['End_of_life_costs']
df_operational_costs = (
global_operational_costs['Fixed_costs_electricity_peak'] +
global_operational_costs['Fixed_costs_electricity_monthly'] +
global_operational_costs['Fixed_costs_electricity_peak'] +
global_operational_costs['Fixed_costs_electricity_monthly'] +
global_operational_costs['Variable_costs_electricity'] +
global_operational_costs['Fixed_costs_gas'] +
global_operational_costs['Variable_costs_gas']
)
df_maintenance_costs = (
global_maintenance_costs['Heating_maintenance'] +
global_maintenance_costs['Cooling_maintenance'] +
global_maintenance_costs['PV_maintenance']
)
df_operational_incomes = global_operational_incomes['Incomes electricity']
df_capital_incomes = (
global_capital_incomes['Subsidies construction'] +
global_capital_incomes['Subsidies HVAC'] +
global_capital_incomes['Subsidies PV']
)
life_cycle_costs_capital_skin = self._npv_from_list(df_capital_costs_skin.values.tolist())
life_cycle_costs_capital_systems = self._npv_from_list(df_capital_costs_systems.values.tolist())
life_cycle_costs_end_of_life_costs = self._npv_from_list(df_end_of_life_costs.values.tolist())
life_cycle_operational_costs = self._npv_from_list(df_operational_costs.values.tolist())
life_cycle_maintenance_costs = self._npv_from_list(df_maintenance_costs.values.tolist())
life_cycle_operational_incomes = self._npv_from_list(df_operational_incomes.values.tolist())
life_cycle_capital_incomes = self._npv_from_list(df_capital_incomes.values.tolist())
results[f'Scenario {self._configuration.retrofit_scenario}'] = [
life_cycle_costs_capital_skin,
life_cycle_costs_capital_systems,
life_cycle_costs_end_of_life_costs,
life_cycle_operational_costs,
life_cycle_maintenance_costs,
life_cycle_operational_incomes,
life_cycle_capital_incomes
]
results.index = ['total_capital_costs_skin',
'total_capital_costs_systems',
'end_of_life_costs',
'total_operational_costs',
'total_maintenance_costs',
'operational_incomes',
'capital_incomes']
results.index = ['total_capital_costs_skin',
'total_capital_costs_systems',
'end_of_life_costs',
'total_operational_costs',
'total_maintenance_costs',
'operational_incomes',
'capital_incomes']
return results
def to_xlsx(self, path: Path):
"""
Export life cycle costs to xls file
:return: none
"""
for building_index, building in enumerate(self._buildings):
_path = (path / f'{building.name}_{building.city_id}').resolve()
self._life_cycle_costs(building, self._buildings_results[building_index])
with pd.ExcelWriter(path) as writer:
self._global_capital_costs.to_excel(writer, sheet_name='global_capital_costs')
self._global_end_of_life_costs.to_excel(writer, sheet_name='global_end_of_life_costs')
self._global_operational_costs.to_excel(writer, sheet_name='global_operational_costs')
self._global_maintenance_costs.to_excel(writer, sheet_name='global_maintenance_costs')
self._global_operational_incomes.to_excel(writer, sheet_name='global_operational_incomes')
self._global_capital_incomes.to_excel(writer, sheet_name='global_capital_incomes')

2
resources.txt
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@ -1,2 +0,0 @@
numpy_financial
cerc_hub