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.gitignore vendored
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.idea
cerc_costs.egg-info
dist

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cerc_costs.egg-info/PKG-INFO Normal file
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Metadata-Version: 2.1
Name: cerc-costs
Version: 0.1.0.2
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

22
cerc_costs.egg-info/SOURCES.txt Normal file
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README.md
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/peak_load.py
costs/total_maintenance_costs.py
costs/total_operational_costs.py
costs/total_operational_incomes.py
costs/version.py

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cerc_costs.egg-info/dependency_links.txt Normal file
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cerc_costs.egg-info/requires.txt Normal file
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numpy_financial
cerc_hub
pandas
setuptools

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cerc_costs.egg-info/top_level.txt Normal file
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costs

12
costs/capital_costs.py
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@ -39,9 +39,9 @@ class CapitalCosts(CostBase):
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]['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]['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
@ -107,9 +107,9 @@ class CapitalCosts(CostBase):
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]['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
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')
@ -119,7 +119,7 @@ class CapitalCosts(CostBase):
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]['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
@ -219,7 +219,7 @@ class CapitalCosts(CostBase):
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'] += (
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

7
costs/total_operational_costs.py
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@ -54,7 +54,7 @@ class TotalOperationalCosts(CostBase):
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 * cte.WATTS_HOUR_TO_JULES) * archetype.operational_cost.fuels[1].variable[0]
/ 1000 * cte.WATTS_HOUR_TO_JULES * archetype.operational_cost.fuels[1].variable[0]
)
if self._configuration.fuel_type == 0:
electricity_heating = building.heating_consumption[cte.YEAR][0] / 1000
@ -73,9 +73,8 @@ class TotalOperationalCosts(CostBase):
peak_electricity_load = PeakLoad(building).electricity_peak_load
peak_load_value = peak_electricity_load.max(axis=1)
peak_electricity_demand = peak_load_value[1] / 1000 # self._peak_electricity_demand adapted to kW
variable_electricity_cost_year_0 = (
total_electricity_consumption / cte.WATTS_HOUR_TO_JULES * archetype.operational_cost.fuels[0].variable[0]
)
variable_electricity_cost_year_0 = \
total_electricity_consumption * cte.WATTS_HOUR_TO_JULES * 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

5
costs/total_operational_incomes.py
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@ -28,16 +28,15 @@ class TotalOperationalIncomes(CostBase):
:return: pd.DataFrame
"""
building = self._building
archetype = self._archetype
if cte.YEAR not in building.onsite_electrical_production:
onsite_electricity_production = 0
else:
onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0]
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 = archetype.income.electricity_export * cte.WATTS_HOUR_TO_JULES * 1000 # to account for unit change
price_export = 0.075 # archetype.income.electricity_export
self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (
onsite_electricity_production * price_export * price_increase_electricity
)

2
costs/version.py
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@ -5,4 +5,4 @@ Copyright © 2023 Project Coder Guille Gutierrez guillermo.gutierrezmorote@conco
Code contributor Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
"""
__version__ = '0.1.0.6'
__version__ = '0.1.0.4'

121
input_files/selected_building_2864.geojson Normal file
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@ -0,0 +1,121 @@
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],
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