p_monsalvete/costs_workflow
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partial refactor

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This commit is contained in:
Guille Gutierrez 2023-07-14 15:37:12 -04:00
parent d597ec41af
commit d066f2ce17
8 changed files with 376 additions and 51 deletions
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122
costs/life_cycle_costs.py → costs/capital_costs.py
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@ -1,5 +1,5 @@
"""
Life cycle costs module
Capital costs module
"""
import math
@ -11,20 +11,26 @@ from configuration import Configuration
from costs import SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, SYSTEM_RETROFIT_AND_PV
class LifeCycleCosts:
class CapitalCosts:
"""
Life cycle costs class
Capital costs class
"""
def __init__(self, building: Building, configuration: Configuration, retrofit_scenario):
def __init__(self, building: Building, configuration: Configuration):
self._building = building
self._configuration = configuration
self._retrofit_scenario = retrofit_scenario
self._total_floor_area = 0
for internal_zone in building.internal_zones:
for thermal_zone in internal_zone.thermal_zones:
self._total_floor_area += thermal_zone.total_floor_area
self._archetype = None
for archetype in self._configuration.cost_catalog.entries('archetypes').archetype:
if str(building.function) == str(archetype.function):
self._archetype = archetype
self._capital_costs_chapter = self._archetype.capital_cost
break
if not self._archetype:
raise KeyError('archetype not found')
self._capital_costs_chapter = None
rng = range(configuration.number_of_years)
self._yearly_capital_costs = pd.DataFrame(
@ -66,18 +72,10 @@ class LifeCycleCosts:
self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = 0
self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = 0
for archetype in self._configuration.cost_catalog.entries('archetypes').archetype:
if str(building.function) == str(archetype.function):
self._archetype = archetype
self._capital_costs_chapter = self._archetype.capital_cost
break
if not self._archetype:
raise KeyError('archetype not found')
def calculate_capital_costs(self):
def calculate(self) -> tuple[pd.DataFrame, pd.DataFrame]:
"""
Calculate capital cost
:return: pd.DataFrame
:return: pd.DataFrame, pd.DataFrame
"""
surface_opaque = 0
surface_transparent = 0
@ -114,7 +112,7 @@ class LifeCycleCosts:
self._yearly_capital_costs.fillna(0, inplace=True)
own_capital = (1 - self._configuration.percentage_credit)
if self._retrofit_scenario in (SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
if self._configuration.retrofit_scenario in (SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
chapter = self._capital_costs_chapter.chapter('B_shell')
capital_cost_opaque = surface_opaque * chapter.item('B2010_opaque_walls').refurbishment[0]
capital_cost_transparent = surface_transparent * chapter.item('B2020_transparent').refurbishment[0]
@ -125,7 +123,7 @@ class LifeCycleCosts:
self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = capital_cost_roof * own_capital
self._yearly_capital_costs.loc[0]['B10_superstructure'] = capital_cost_ground * own_capital
if self._retrofit_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
if self._configuration.retrofit_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
chapter = self._capital_costs_chapter.chapter('D_services')
capital_cost_pv = surface_pv * chapter.item('D301010_photovoltaic_system').initial_investment[0]
capital_cost_heating_equipment = peak_heating * chapter.item('D3020_heat_generating_systems').initial_investment[0]
@ -160,7 +158,8 @@ class LifeCycleCosts:
self._yearly_capital_costs.loc[year, 'B3010_opaque_roof'] = (
-npf.pmt(
self._configuration.interest_rate,
self._configuration.credit_years,capital_cost_roof * self._configuration.percentage_credit
self._configuration.credit_years,
capital_cost_roof * self._configuration.percentage_credit
)
)
self._yearly_capital_costs.loc[year, 'B10_superstructure'] = (
@ -170,46 +169,71 @@ class LifeCycleCosts:
capital_cost_ground * self._configuration.percentage_credit
)
)
self._yearly_capital_costs.loc[year, 'D3020_heat_generating_systems'] = -npf.pmt(self._configuration.interest_rate,self._configuration.credit_years,
capital_cost_heating_equipment
* (self._configuration.percentage_credit))
self._yearly_capital_costs.loc[year, 'D3030_cooling_generation_systems'] = -npf.pmt(self._configuration.interest_rate, self._configuration.credit_years,
capital_cost_cooling_equipment
* (self._configuration.percentage_credit))
self._yearly_capital_costs.loc[year, 'D3040_distribution_systems'] = -npf.pmt(self._configuration.interest_rate, self._configuration.credit_years,
capital_cost_distribution_equipment
* (self._configuration.percentage_credit))
self._yearly_capital_costs.loc[year, 'D3080_other_hvac_ahu'] = -npf.pmt(self._configuration.interest_rate, self._configuration.credit_years,
capital_cost_other_hvac_ahu
* (self._configuration.percentage_credit))
self._yearly_capital_costs.loc[year, 'D5020_lighting_and_branch_wiring'] = -npf.pmt(self._configuration.interest_rate, self._configuration.credit_years,
capital_cost_lighting
* (self._configuration.percentage_credit))
self._yearly_capital_costs.loc[year, 'D3020_heat_generating_systems'] = (
-npf.pmt(
self._configuration.interest_rate,
self._configuration.credit_years,
capital_cost_heating_equipment * self._configuration.percentage_credit
)
)
self._yearly_capital_costs.loc[year, 'D3030_cooling_generation_systems'] = (
-npf.pmt(
self._configuration.interest_rate,
self._configuration.credit_years,
capital_cost_cooling_equipment * self._configuration.percentage_credit
)
)
self._yearly_capital_costs.loc[year, 'D3040_distribution_systems'] = (
-npf.pmt(
self._configuration.interest_rate,
self._configuration.credit_years,
capital_cost_distribution_equipment * self._configuration.percentage_credit
)
)
self._yearly_capital_costs.loc[year, 'D3080_other_hvac_ahu'] = (
-npf.pmt(
self._configuration.interest_rate,
self._configuration.credit_years,
capital_cost_other_hvac_ahu * self._configuration.percentage_credit
)
)
self._yearly_capital_costs.loc[year, 'D5020_lighting_and_branch_wiring'] = (
-npf.pmt(
self._configuration.interest_rate,
self._configuration.credit_years,
capital_cost_lighting * self._configuration.percentage_credit
)
)
if (year % chapter.item('D3020_heat_generating_systems').lifetime) == 0:
reposition_cost_heating_equipment = peak_heating * chapter.item('D3020_heat_generating_systems').reposition[0] \
* costs_increase
reposition_cost_heating_equipment = (
peak_heating * chapter.item('D3020_heat_generating_systems').reposition[0] * costs_increase
)
self._yearly_capital_costs.loc[year, 'D3020_heat_generating_systems'] += reposition_cost_heating_equipment
if (year % chapter.item('D3030_cooling_generation_systems').lifetime) == 0:
reposition_cost_cooling_equipment = peak_cooling \
* chapter.item('D3030_cooling_generation_systems').reposition[0] \
* costs_increase
reposition_cost_cooling_equipment = (
peak_cooling * chapter.item('D3030_cooling_generation_systems').reposition[0] * costs_increase
)
self._yearly_capital_costs.loc[year, 'D3030_cooling_generation_systems'] += reposition_cost_cooling_equipment
if (year % chapter.item('D3080_other_hvac_ahu').lifetime) == 0:
reposition_cost_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').reposition[0] * costs_increase
reposition_cost_hvac_ahu = (
peak_cooling * chapter.item('D3080_other_hvac_ahu').reposition[0] * costs_increase
)
self._yearly_capital_costs.loc[year, 'D3080_other_hvac_ahu'] = reposition_cost_hvac_ahu
if (year % chapter.item('D5020_lighting_and_branch_wiring').lifetime) == 0:
reposition_cost_lighting = total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').reposition[0] \
* costs_increase
reposition_cost_lighting = (
self._total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').reposition[0] * costs_increase
)
self._yearly_capital_costs.loc[year, 'D5020_lighting_and_branch_wiring'] += reposition_cost_lighting
if self._retrofitting_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
if self._configuration.retrofit_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] += surface_pv \
* chapter.item(
'D301010_photovoltaic_system').reposition[0] * costs_increase
self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] += (
surface_pv * chapter.item('D301010_photovoltaic_system').reposition[0] * costs_increase
)
capital_cost_skin = capital_cost_opaque + capital_cost_ground + capital_cost_transparent + capital_cost_roof
capital_cost_hvac = (
capital_cost_heating_equipment +
@ -219,9 +243,9 @@ class LifeCycleCosts:
)
self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = (
capital_cost_skin * archetype.income.construction_subsidy/100
capital_cost_skin * self._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 PV'] = capital_cost_pv * archetype.income.photovoltaic_subsidy/100
self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = capital_cost_hvac * self._archetype.income.hvac_subsidy/100
self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = capital_cost_pv * self._archetype.income.photovoltaic_subsidy/100
self._yearly_capital_incomes.fillna(0, inplace=True)
return self._yearly_capital_costs, self._yearly_capital_incomes

14
costs/configuration.py
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@ -21,7 +21,9 @@ class Configuration:
gas_price_index,
discount_rate,
retrofitting_year_construction,
factories_handler
factories_handler,
retrofit_scenario,
fuel_type
):
self._number_of_years = number_of_years
self._percentage_credit = percentage_credit
@ -35,6 +37,8 @@ class Configuration:
self._retrofitting_year_construction = retrofitting_year_construction
self._factories_handler = factories_handler
self._cost_catalog = CostCatalogFactory(factories_handler).catalog
self._retrofit_scenario = retrofit_scenario
self._fuel_type = fuel_type
@property
def number_of_years(self):
@ -196,3 +200,11 @@ class Configuration:
Get cost catalog
"""
return self._cost_catalog
@property
def retrofit_scenario(self):
return self._retrofit_scenario
@property
def fuel_type(self):
return self._fuel_type

2
costs/cost.py
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@ -5,7 +5,7 @@ import pandas as pd
from hub.city_model_structure.city import City
from configuration import Configuration
from life_cycle_costs import LifeCycleCosts
from capital_costs import LifeCycleCosts
class Cost:

48
costs/end_of_life_costs.py Normal file
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@ -0,0 +1,48 @@
"""
End of life costs module
"""
import math
import pandas as pd
from hub.city_model_structure.building import Building
from configuration import Configuration
class EndOfLifeCosts:
"""
End of life costs class
"""
def __init__(self, building: Building, configuration: Configuration):
self._building = building
self._configuration = configuration
self._total_floor_area = 0
for internal_zone in building.internal_zones:
for thermal_zone in internal_zone.thermal_zones:
self._total_floor_area += thermal_zone.total_floor_area
self._archetype = None
for archetype in self._configuration.cost_catalog.entries('archetypes').archetype:
if str(building.function) == str(archetype.function):
self._archetype = archetype
self._capital_costs_chapter = self._archetype.capital_cost
break
if not self._archetype:
raise KeyError('archetype not found')
rng = range(configuration.number_of_years)
self._yearly_end_of_life_costs = pd.DataFrame(index=rng, columns=['End_of_life_costs'], dtype='float')
def calculate(self):
"""
Calculate end of life costs
:return: pd.DataFrame
"""
archetype = self._archetype
total_floor_area = self._total_floor_area
for year in range(1, self._configuration.number_of_years + 1):
price_increase = math.pow(1 + self._configuration.consumer_price_index, year)
if year == self._configuration.number_of_years:
self._yearly_end_of_life_costs.at[year, 'End_of_life_costs'] = (
total_floor_area * archetype.end_of_life_cost * price_increase
)
self._yearly_end_of_life_costs.fillna(0, inplace=True)
return self._yearly_end_of_life_costs

2
costs/life_cycle_costs_old.py
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@ -334,6 +334,8 @@ class LifeCycleCosts:
self._yearly_operational_incomes.fillna(0, inplace=True)
return self._yearly_operational_incomes
___________________________________________________________
def calculate_total_maintenance_costs(self):
"""
Calculate total maintenance costs

75
costs/total_maintenance_costs.py Normal file
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@ -0,0 +1,75 @@
"""
Total maintenance costs module
"""
import math
import pandas as pd
from hub.city_model_structure.building import Building
import hub.helpers.constants as cte
from configuration import Configuration
class TotalMaintenanceCosts:
"""
Total maintenance costs class
"""
def __init__(self, building: Building, configuration: Configuration):
self._building = building
self._configuration = configuration
self._total_floor_area = 0
for internal_zone in building.internal_zones:
for thermal_zone in internal_zone.thermal_zones:
self._total_floor_area += thermal_zone.total_floor_area
self._archetype = None
for archetype in self._configuration.cost_catalog.entries('archetypes').archetype:
if str(building.function) == str(archetype.function):
self._archetype = archetype
self._capital_costs_chapter = self._archetype.capital_cost
break
if not self._archetype:
raise KeyError('archetype not found')
rng = range(configuration.number_of_years)
self._yearly_maintenance_costs = pd.DataFrame(
index=rng,
columns=[
'Heating_maintenance',
'Cooling_maintenance',
'PV_maintenance'
],
dtype='float'
)
def calculate(self) -> pd.DataFrame:
"""
Calculate total maintenance costs
:return: pd.DataFrame
"""
building = self._building
archetype = self._archetype
# todo: change area pv when the variable exists
roof_area = 0
for roof in building.roofs:
roof_area += roof.solid_polygon.area
surface_pv = roof_area * 0.5
peak_heating = building.heating_peak_load[cte.YEAR][cte.HEATING_PEAK_LOAD][0]
peak_cooling = building.cooling_peak_load[cte.YEAR][cte.COOLING_PEAK_LOAD][0]
maintenance_heating_0 = peak_heating * archetype.operational_cost.maintenance_heating
maintenance_cooling_0 = peak_cooling * archetype.operational_cost.maintenance_cooling
maintenance_pv_0 = surface_pv * archetype.operational_cost.maintenance_pv
for year in range(1, self._configuration.number_of_years + 1):
costs_increase = math.pow(1 + self._configuration.consumer_price_index, year)
self._yearly_maintenance_costs.loc[year, 'Heating_maintenance'] = (
maintenance_heating_0 * costs_increase
)
self._yearly_maintenance_costs.loc[year, 'Cooling_maintenance'] = (
maintenance_cooling_0 * costs_increase
)
self._yearly_maintenance_costs.loc[year, 'PV_maintenance'] = (
maintenance_pv_0 * costs_increase
)
self._yearly_maintenance_costs.fillna(0, inplace=True)
return self._yearly_maintenance_costs

109
costs/total_operational_costs.py Normal file
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@ -0,0 +1,109 @@
"""
Total operational costs module
"""
import math
import pandas as pd
from hub.city_model_structure.building import Building
import hub.helpers.constants as cte
from configuration import Configuration
class TotalOperationalCosts:
"""
End of life costs class
"""
def __init__(self, building: Building, configuration: Configuration):
self._building = building
self._configuration = configuration
self._total_floor_area = 0
for internal_zone in building.internal_zones:
for thermal_zone in internal_zone.thermal_zones:
self._total_floor_area += thermal_zone.total_floor_area
self._archetype = None
for archetype in self._configuration.cost_catalog.entries('archetypes').archetype:
if str(building.function) == str(archetype.function):
self._archetype = archetype
self._capital_costs_chapter = self._archetype.capital_cost
break
if not self._archetype:
raise KeyError('archetype not found')
rng = range(configuration.number_of_years)
self._yearly_operational_costs = pd.DataFrame(
index=rng,
columns=[
'Fixed_costs_electricity_peak',
'Fixed_costs_electricity_monthly',
'Variable_costs_electricity',
'Fixed_costs_gas',
'Variable_costs_gas'
],
dtype='float'
)
@property
def calculate(self) -> pd.DataFrame:
"""
Calculate total operational costs
:return: pd.DataFrame
"""
building = self._building
archetype = self._archetype
total_floor_area = self._total_floor_area
factor_residential = total_floor_area / 80
# todo: split the heating between fuels
fixed_gas_cost_year_0 = 0
variable_gas_cost_year_0 = 0
electricity_heating = 0
domestic_hot_water_electricity = 0
if self._configuration.fuel_type == 1:
fixed_gas_cost_year_0 = archetype.operational_cost.fuels[1].fixed_monthly * 12 * factor_residential
variable_gas_cost_year_0 = (
(building.heating_consumption[cte.YEAR][0] + building.domestic_hot_water_consumption[cte.YEAR][0]) / 1000 *
archetype.operational_cost.fuels[1].variable[0]
)
if self._configuration.fuel_type == 0:
electricity_heating = building.heating_consumption[cte.YEAR][0] / 1000
domestic_hot_water_electricity = building.domestic_hot_water_consumption[cte.YEAR][0] / 1000
electricity_cooling = building.cooling_consumption[cte.YEAR][0] / 1000
electricity_lighting = building.lighting_electrical_demand[cte.YEAR]['insel meb'] / 1000
electricity_plug_loads = building.appliances_electrical_demand[cte.YEAR]['insel meb'] / 1000
electricity_distribution = 0
total_electricity_consumption = (
electricity_heating + electricity_cooling + electricity_lighting + domestic_hot_water_electricity +
electricity_plug_loads + electricity_distribution
)
# todo: change when peak electricity demand is coded. Careful with factor residential
peak_electricity_demand = 100 # self._peak_electricity_demand
variable_electricity_cost_year_0 = total_electricity_consumption * archetype.operational_cost.fuels[0].variable[0]
peak_electricity_cost_year_0 = peak_electricity_demand * archetype.operational_cost.fuels[0].fixed_power * 12
monthly_electricity_cost_year_0 = archetype.operational_cost.fuels[0].fixed_monthly * 12 * factor_residential
for year in range(1, self._configuration.number_of_years + 1):
price_increase_electricity = math.pow(1 + self._configuration.electricity_price_index, year)
price_increase_peak_electricity = math.pow(1 + self._configuration.electricity_peak_index, year)
price_increase_gas = math.pow(1 + self._configuration.gas_price_index, year)
self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_peak'] = (
peak_electricity_cost_year_0 * price_increase_peak_electricity
)
self._yearly_operational_costs.at[year, 'Fixed_costs_electricity_monthly'] = (
monthly_electricity_cost_year_0 * price_increase_peak_electricity
)
self._yearly_operational_costs.at[year, 'Variable_costs_electricity'] = float(
variable_electricity_cost_year_0 * price_increase_electricity
)
self._yearly_operational_costs.at[year, 'Fixed_costs_gas'] = fixed_gas_cost_year_0 * price_increase_gas
self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = (
variable_gas_cost_year_0 * price_increase_peak_electricity
)
self._yearly_operational_costs.at[year, 'Variable_costs_gas'] = (
variable_gas_cost_year_0 * price_increase_peak_electricity
)
self._yearly_operational_costs.fillna(0, inplace=True)
return self._yearly_operational_costs

55
costs/total_operational_incomes.py Normal file
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@ -0,0 +1,55 @@
"""
Total operational incomes module
"""
import math
import pandas as pd
from hub.city_model_structure.building import Building
import hub.helpers.constants as cte
from configuration import Configuration
class TotalOperationalIncomes:
"""
Total operational incomes class
"""
def __init__(self, building: Building, configuration: Configuration):
self._building = building
self._configuration = configuration
self._total_floor_area = 0
for internal_zone in building.internal_zones:
for thermal_zone in internal_zone.thermal_zones:
self._total_floor_area += thermal_zone.total_floor_area
self._archetype = None
for archetype in self._configuration.cost_catalog.entries('archetypes').archetype:
if str(building.function) == str(archetype.function):
self._archetype = archetype
self._capital_costs_chapter = self._archetype.capital_cost
break
if not self._archetype:
raise KeyError('archetype not found')
rng = range(configuration.number_of_years)
self._yearly_operational_incomes = pd.DataFrame(index=rng, columns=['Incomes electricity'], dtype='float')
def calculate(self) -> pd.DataFrame:
"""
Calculate total operational incomes
:return: pd.DataFrame
"""
building = self._building
if cte.YEAR not in building.onsite_electrical_production:
onsite_electricity_production = 0
else:
onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0] / 1000
for year in range(1, self._configuration.number_of_years + 1):
price_increase_electricity = math.pow(1 + self._configuration.electricity_price_index, year)
# todo: check the adequate assignation of price. Pilar
price_export = 0.075 # archetype.income.electricity_export
self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (
onsite_electricity_production * price_export * price_increase_electricity
)
self._yearly_operational_incomes.fillna(0, inplace=True)
return self._yearly_operational_incomes