diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..26d3352 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,3 @@ +# Default ignored files +/shelf/ +/workspace.xml diff --git a/.idea/costs.iml b/.idea/costs.iml new file mode 100644 index 0000000..8b8c395 --- /dev/null +++ b/.idea/costs.iml @@ -0,0 +1,12 @@ + + + + + + + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 0000000..db85aa1 --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,42 @@ + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..250142c --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..1a243a1 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..35eb1dd --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/cerc_costs.egg-info/PKG-INFO b/cerc_costs.egg-info/PKG-INFO new file mode 100644 index 0000000..cbfe54b --- /dev/null +++ b/cerc_costs.egg-info/PKG-INFO @@ -0,0 +1,9 @@ +Metadata-Version: 2.1 +Name: cerc-costs +Version: 0.1.0.0 +Summary: CERC costs contains the basic cost calculation per CERC-Hub building +Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL) +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 + +CERC costs contains the basic cost calculation per CERC-Hub building diff --git a/cerc_costs.egg-info/SOURCES.txt b/cerc_costs.egg-info/SOURCES.txt new file mode 100644 index 0000000..9cc7c29 --- /dev/null +++ b/cerc_costs.egg-info/SOURCES.txt @@ -0,0 +1,20 @@ +pyproject.toml +requirements.txt +setup.py +cerc_costs.egg-info/PKG-INFO +cerc_costs.egg-info/SOURCES.txt +cerc_costs.egg-info/dependency_links.txt +cerc_costs.egg-info/requires.txt +cerc_costs.egg-info/top_level.txt +costs/__init__.py +costs/__main__.py +costs/capital_costs.py +costs/configuration.py +costs/constants.py +costs/cost.py +costs/cost_base.py +costs/end_of_life_costs.py +costs/total_maintenance_costs.py +costs/total_operational_costs.py +costs/total_operational_incomes.py +costs/version.py \ No newline at end of file diff --git a/cerc_costs.egg-info/dependency_links.txt b/cerc_costs.egg-info/dependency_links.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/cerc_costs.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/cerc_costs.egg-info/requires.txt b/cerc_costs.egg-info/requires.txt new file mode 100644 index 0000000..94cd4eb --- /dev/null +++ b/cerc_costs.egg-info/requires.txt @@ -0,0 +1,4 @@ +numpy_financial +cerc_hub +pandas +setuptools diff --git a/cerc_costs.egg-info/top_level.txt b/cerc_costs.egg-info/top_level.txt new file mode 100644 index 0000000..73bd54b --- /dev/null +++ b/cerc_costs.egg-info/top_level.txt @@ -0,0 +1 @@ +costs diff --git a/costs/README.md b/costs/README.md new file mode 100644 index 0000000..bae8105 --- /dev/null +++ b/costs/README.md @@ -0,0 +1,4 @@ +# Cerc costs + +Uses the cerc-hub as a base for cost calculation, it's intended to be used after executing the complete monthly energy +balance workflow called building by building diff --git a/costs/__main__.py b/costs/__main__.py new file mode 100644 index 0000000..87e2e44 --- /dev/null +++ b/costs/__main__.py @@ -0,0 +1,6 @@ +""" +Costs Workflow +SPDX - License - Identifier: LGPL - 3.0 - or -later +Copyright © 2022 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca +Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca +""" diff --git a/costs/__pycache__/__init__.cpython-39.pyc b/costs/__pycache__/__init__.cpython-39.pyc new file mode 100644 index 0000000..49e54d8 Binary files /dev/null and b/costs/__pycache__/__init__.cpython-39.pyc differ diff --git a/costs/__pycache__/capital_costs.cpython-39.pyc b/costs/__pycache__/capital_costs.cpython-39.pyc new file mode 100644 index 0000000..fb8a19d Binary files /dev/null and b/costs/__pycache__/capital_costs.cpython-39.pyc differ diff --git a/costs/__pycache__/configuration.cpython-39.pyc b/costs/__pycache__/configuration.cpython-39.pyc new file mode 100644 index 0000000..b83af83 Binary files /dev/null and b/costs/__pycache__/configuration.cpython-39.pyc differ diff --git a/costs/__pycache__/constants.cpython-39.pyc b/costs/__pycache__/constants.cpython-39.pyc new file mode 100644 index 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Configuration +from costs.constants import SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, SYSTEM_RETROFIT_AND_PV +from costs.cost_base import CostBase + + +class CapitalCosts(CostBase): + """ + Capital costs class + """ + def __init__(self, building: Building, configuration: Configuration): + super().__init__(building, configuration) + self._yearly_capital_costs = pd.DataFrame( + index=self._rng, + columns=[ + 'B2010_opaque_walls', + 'B2020_transparent', + 'B3010_opaque_roof', + 'B10_superstructure', + 'D301010_photovoltaic_system', + 'D3020_heat_generating_systems', + 'D3030_cooling_generation_systems', + 'D3040_distribution_systems', + 'D3080_other_hvac_ahu', + 'D5020_lighting_and_branch_wiring' + ], + dtype='float' + ) + self._yearly_capital_costs.loc[0, 'B2010_opaque_walls'] = 0 + self._yearly_capital_costs.loc[0]['B2020_transparent'] = 0 + self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = 0 + self._yearly_capital_costs.loc[0]['B10_superstructure'] = 0 + self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'] = 0 + self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = 0 + self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = 0 + self._yearly_capital_costs.loc[0, 'D3080_other_hvac_ahu'] = 0 + self._yearly_capital_costs.loc[0, 'D5020_lighting_and_branch_wiring'] = 0 + + self._yearly_capital_incomes = pd.DataFrame( + index=self._rng, + columns=[ + 'Subsidies construction', + 'Subsidies HVAC', + 'Subsidies PV' + ], + dtype='float' + ) + self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = 0 + self._yearly_capital_incomes.loc[0, 'Subsidies HVAC'] = 0 + self._yearly_capital_incomes.loc[0, 'Subsidies PV'] = 0 + + def calculate(self) -> tuple[pd.DataFrame, pd.DataFrame]: + """ + Calculate capital cost + :return: pd.DataFrame, pd.DataFrame + """ + surface_opaque = 0 + surface_transparent = 0 + surface_roof = 0 + surface_ground = 0 + capital_cost_pv = 0 + capital_cost_opaque = 0 + capital_cost_ground = 0 + capital_cost_transparent = 0 + capital_cost_roof = 0 + capital_cost_heating_equipment = 0 + capital_cost_cooling_equipment = 0 + capital_cost_distribution_equipment = 0 + capital_cost_other_hvac_ahu = 0 + capital_cost_lighting = 0 + + for internal_zone in self._building.internal_zones: + for thermal_zone in internal_zone.thermal_zones: + for thermal_boundary in thermal_zone.thermal_boundaries: + if thermal_boundary.type == 'Ground': + surface_ground += thermal_boundary.opaque_area + elif thermal_boundary.type == 'Roof': + surface_roof += thermal_boundary.opaque_area + elif thermal_boundary.type == 'Wall': + surface_opaque += thermal_boundary.opaque_area * (1 - thermal_boundary.window_ratio) + surface_transparent += thermal_boundary.opaque_area * thermal_boundary.window_ratio + + peak_heating = self._building.heating_peak_load[cte.YEAR][0] / 1000 + peak_cooling = self._building.cooling_peak_load[cte.YEAR][0] / 1000 + + surface_pv = 0 + for roof in self._building.roofs: + surface_pv += roof.solid_polygon.area * roof.solar_collectors_area_reduction_factor + + self._yearly_capital_costs.fillna(0, inplace=True) + own_capital = 1 - self._configuration.percentage_credit + 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] + capital_cost_roof = surface_roof * chapter.item('B3010_opaque_roof').refurbishment[0] + capital_cost_ground = surface_ground * chapter.item('B10_superstructure').refurbishment[0] + self._yearly_capital_costs.loc[0, 'B2010_opaque_walls'] = capital_cost_opaque * own_capital + self._yearly_capital_costs.loc[0]['B2020_transparent'] = capital_cost_transparent * own_capital + 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._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] + capital_cost_cooling_equipment = peak_cooling * chapter.item('D3030_cooling_generation_systems').initial_investment[0] + capital_cost_distribution_equipment = peak_cooling * chapter.item('D3040_distribution_systems').initial_investment[0] + capital_cost_other_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').initial_investment[0] + capital_cost_lighting = self._total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0] + self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system'] = capital_cost_pv + self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'] = capital_cost_heating_equipment * own_capital + self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = capital_cost_cooling_equipment * own_capital + self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = capital_cost_distribution_equipment * own_capital + self._yearly_capital_costs.loc[0, 'D3080_other_hvac_ahu'] = capital_cost_other_hvac_ahu * own_capital + self._yearly_capital_costs.loc[0, 'D5020_lighting_and_branch_wiring'] = capital_cost_lighting * own_capital + + for year in range(1, self._configuration.number_of_years): + chapter = self._capital_costs_chapter.chapter('D_services') + costs_increase = math.pow(1 + self._configuration.consumer_price_index, year) + self._yearly_capital_costs.loc[year, 'B2010_opaque_walls'] = ( + -npf.pmt( + self._configuration.interest_rate, + self._configuration.credit_years, + capital_cost_opaque * self._configuration.percentage_credit + ) + ) + self._yearly_capital_costs.loc[year, 'B2020_transparent'] = ( + -npf.pmt( + self._configuration.interest_rate, + self._configuration.credit_years, + capital_cost_transparent * self._configuration.percentage_credit + ) + ) + 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._yearly_capital_costs.loc[year, 'B10_superstructure'] = ( + -npf.pmt( + self._configuration.interest_rate, + self._configuration.credit_years, + 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 + ) + ) + + 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 + ) + 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 + ) + 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 + ) + 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 = ( + 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._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 + ) + 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_distribution_equipment + + capital_cost_other_hvac_ahu + capital_cost_lighting + ) + + self._yearly_capital_incomes.loc[0, 'Subsidies construction'] = ( + capital_cost_skin * self._archetype.income.construction_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 diff --git a/costs/constants.py b/costs/constants.py new file mode 100644 index 0000000..5407f14 --- /dev/null +++ b/costs/constants.py @@ -0,0 +1,11 @@ +# 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 +] \ No newline at end of file diff --git a/costs/cost_base.py b/costs/cost_base.py new file mode 100644 index 0000000..42b8220 --- /dev/null +++ b/costs/cost_base.py @@ -0,0 +1,38 @@ +""" +Cost base module +""" + +from hub.city_model_structure.building import Building +from hub.helpers.dictionaries import Dictionaries + +from costs.configuration import Configuration + + +class CostBase: + """ + Abstract base class for the costs + """ + 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 + self._capital_costs_chapter = None + for archetype in self._configuration.costs_catalog.entries().archetypes: + if configuration.dictionary[str(building.function)] == str(archetype.function): + self._archetype = archetype + self._capital_costs_chapter = self._archetype.capital_cost + break + if not self._archetype: + raise KeyError(f'archetype not found for function {building.function}') + + self._rng = range(configuration.number_of_years) + + def calculate(self): + """ + Raises not implemented exception + """ + raise NotImplementedError() diff --git a/costs/end_of_life_costs.py b/costs/end_of_life_costs.py new file mode 100644 index 0000000..4723300 --- /dev/null +++ b/costs/end_of_life_costs.py @@ -0,0 +1,34 @@ +""" +End of life costs module +""" +import math +import pandas as pd +from hub.city_model_structure.building import Building + +from costs.configuration import Configuration +from costs.cost_base import CostBase + + +class EndOfLifeCosts(CostBase): + """ + End of life costs class + """ + def __init__(self, building: Building, configuration: Configuration): + super().__init__(building, configuration) + self._yearly_end_of_life_costs = pd.DataFrame(index=self._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 diff --git a/costs/total_maintenance_costs.py b/costs/total_maintenance_costs.py new file mode 100644 index 0000000..8e7f01a --- /dev/null +++ b/costs/total_maintenance_costs.py @@ -0,0 +1,61 @@ +""" +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 costs.configuration import Configuration +from costs.cost_base import CostBase + + +class TotalMaintenanceCosts(CostBase): + """ + Total maintenance costs class + """ + def __init__(self, building: Building, configuration: Configuration): + super().__init__(building, configuration) + self._yearly_maintenance_costs = pd.DataFrame( + index=self._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][0] + peak_cooling = building.cooling_peak_load[cte.YEAR][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 diff --git a/costs/total_operational_costs.py b/costs/total_operational_costs.py new file mode 100644 index 0000000..b3f97dd --- /dev/null +++ b/costs/total_operational_costs.py @@ -0,0 +1,92 @@ +""" +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 costs.configuration import Configuration +from costs.cost_base import CostBase + + +class TotalOperationalCosts(CostBase): + """ + End of life costs class + """ + def __init__(self, building: Building, configuration: Configuration): + super().__init__(building, configuration) + self._yearly_operational_costs = pd.DataFrame( + index=self._rng, + columns=[ + 'Fixed_costs_electricity_peak', + 'Fixed_costs_electricity_monthly', + 'Variable_costs_electricity', + 'Fixed_costs_gas', + 'Variable_costs_gas' + ], + dtype='float' + ) + + 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.iloc[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 diff --git a/costs/total_operational_incomes.py b/costs/total_operational_incomes.py new file mode 100644 index 0000000..512db8c --- /dev/null +++ b/costs/total_operational_incomes.py @@ -0,0 +1,41 @@ +""" +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 costs.configuration import Configuration +from costs.cost_base import CostBase + + +class TotalOperationalIncomes(CostBase): + """ + Total operational incomes class + """ + def __init__(self, building: Building, configuration: Configuration): + super().__init__(building, configuration) + self._yearly_operational_incomes = pd.DataFrame(index=self._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 diff --git a/costs/version.py b/costs/version.py new file mode 100644 index 0000000..04b8b73 --- /dev/null +++ b/costs/version.py @@ -0,0 +1,4 @@ +""" +Cost version number +""" +__version__ = '0.1.0.0' diff --git a/dist/cerc-costs-0.1.0.0.tar.gz b/dist/cerc-costs-0.1.0.0.tar.gz new file mode 100644 index 0000000..44bda90 Binary files /dev/null and b/dist/cerc-costs-0.1.0.0.tar.gz differ diff --git a/dist/cerc_costs-0.1.0.0-py3-none-any.whl b/dist/cerc_costs-0.1.0.0-py3-none-any.whl new file mode 100644 index 0000000..c5a2175 Binary files /dev/null and b/dist/cerc_costs-0.1.0.0-py3-none-any.whl differ diff --git a/input_files/selected_building_2864.geojson b/input_files/selected_building_2864.geojson new file mode 100644 index 0000000..b6b032d --- /dev/null +++ b/input_files/selected_building_2864.geojson @@ -0,0 +1,121 @@ +{ + "type": "FeatureCollection", + "features": [ + { + "type": "Feature", + "id": 2864, + "geometry": { + "type": "Polygon", + "coordinates": [ + [ + [ + -73.55628837310991, + 45.60732526295055 + ], + [ + -73.55628287285629, + 45.607324262904456 + ], + [ + -73.55609247288925, + 45.607288563416546 + ], + [ + -73.55607107262188, + 45.60734486277528 + ], + [ + -73.55612487276466, + 45.60735496306114 + ], + [ + -73.55609867281544, + 45.60742366317157 + ], + [ + -73.55624087271804, + 45.60745026331904 + ], + [ + -73.55628837310991, + 45.60732526295055 + ] + ] + ] + }, + "properties": { + "OBJECTID_12_13": 2864, + "ID_UEV": "02033771", + "CIVIQUE_DE": " 8212", + "CIVIQUE_FI": " 8212", + "NOM_RUE": "avenue Peterborough (ANJ)", + "SUITE_DEBU": " ", + "MUNICIPALI": "50", + "ETAGE_HORS": 1, + "NOMBRE_LOG": 1, + "ANNEE_CONS": 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+[options.packages.find_namespace] +where = "costs" \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..add886c --- /dev/null +++ b/requirements.txt @@ -0,0 +1,3 @@ +numpy_financial +cerc_hub +pandas \ No newline at end of file diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..93e5514 --- /dev/null +++ b/setup.py @@ -0,0 +1,36 @@ +import glob +import pathlib +from distutils.util import convert_path +from setuptools import setup + +with pathlib.Path('requirements.txt').open() as r: + install_requires = [ + str(requirement).replace('\n', '') + for requirement + in r.readlines() + ] +install_requires.append('setuptools') + +main_ns = {} +version = convert_path('costs/version.py') +with open(version) as f: + exec(f.read(), main_ns) + +setup( + name='cerc-costs', + version=main_ns['__version__'], + description="CERC costs contains the basic cost calculation per CERC-Hub building", + long_description="CERC costs contains the basic cost calculation per CERC-Hub building", + classifiers=[ + "License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + ], + include_package_data=True, + packages=['costs'], + setup_requires=install_requires, + install_requires=install_requires, + data_files=[ + ('costs', glob.glob('requirements.txt')) + ] +) diff --git a/tests/__pycache__/unit_tests.cpython-39.pyc b/tests/__pycache__/unit_tests.cpython-39.pyc new file mode 100644 index 0000000..3e1f658 Binary files /dev/null and b/tests/__pycache__/unit_tests.cpython-39.pyc differ diff --git a/tests/data/test.geojson b/tests/data/test.geojson new file mode 100644 index 0000000..39e320b --- /dev/null +++ b/tests/data/test.geojson @@ -0,0 +1 @@ +{"type": "FeatureCollection", "features": [{"type": "Feature", "id": 1, "geometry": {"type": "Polygon", "coordinates": [[[-73.58041417568059, 45.49764113660836], 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+1,73 @@ +import glob +import os +import subprocess +import unittest + +from pathlib import Path + +from hub.exports.energy_building_exports_factory import EnergyBuildingsExportsFactory +from hub.exports.exports_factory import ExportsFactory +from hub.imports.construction_factory import ConstructionFactory +from hub.imports.energy_systems_factory import EnergySystemsFactory +from hub.imports.geometry_factory import GeometryFactory +from hub.imports.results_factory import ResultFactory +from hub.imports.usage_factory import UsageFactory +from hub.helpers.dictionaries import Dictionaries + +from costs.cost import Cost +from costs.constants import SKIN_RETROFIT, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV, SYSTEM_RETROFIT_AND_PV + + +class UnitTests(unittest.TestCase): + def setUp(self) -> None: + city_file = Path("./tests/data/test.geojson").resolve() + output_path = Path('./tests/output/').resolve() + city = GeometryFactory('geojson', + city_file, + height_field='citygml_me', + year_of_construction_field='ANNEE_CONS', + function_field='CODE_UTILI', + function_to_hub=Dictionaries().montreal_function_to_hub_function).city + ConstructionFactory('nrcan', city).enrich() + UsageFactory('nrcan', city).enrich() + ExportsFactory('sra', city, output_path).export() + sra_file = str((output_path / f'{city.name}_sra.xml').resolve()) + subprocess.run(['/usr/local/bin/sra', sra_file]) + ResultFactory('sra', city, output_path).enrich() + + for building in city.buildings: + building.energy_systems_archetype_name = 'system 1 gas pv' + EnergySystemsFactory('montreal_custom', city).enrich() + EnergyBuildingsExportsFactory('insel_monthly_energy_balance', city, output_path).export() + _insel_files = glob.glob(f'{output_path}/*.insel') + for insel_file in _insel_files: + subprocess.run(['insel', str(insel_file)], stdout=subprocess.DEVNULL) + ResultFactory('insel_monthly_energy_balance', city, output_path).enrich() + self._city = city + + def test_current_status(self): + for building in self._city.buildings: + result = Cost(building).life_cycle + self.assertIsNotNone(result) + self.assertEqual(0, result.values[0]) + + def test_scenario_1(self): + for building in self._city.buildings: + result = Cost(building, retrofit_scenario=SKIN_RETROFIT).life_cycle + self.assertIsNotNone(result) + + def test_scenario_2(self): + for building in self._city.buildings: + result = Cost(building, retrofit_scenario=SYSTEM_RETROFIT_AND_PV).life_cycle + self.assertIsNotNone(result) + self.assertEqual(0, result.values[0]) + + def test_scenario_3(self): + for building in self._city.buildings: + result = Cost(building, retrofit_scenario=SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV).life_cycle + self.assertIsNotNone(result) + + def tearDown(self): + files = glob.glob('output/[!.]*') + for file in files: + os.unlink(file)