CERC/costs
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Clean up

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This commit is contained in:
Guille Gutierrez 2023-11-22 18:35:24 +01:00
parent 7baff0b846
commit e71afa4ff9
9 changed files with 5 additions and 160 deletions
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2
.gitignore vendored
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.idea
cerc_costs.egg-info
dist

9
cerc_costs.egg-info/PKG-INFO
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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

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cerc_costs.egg-info/SOURCES.txt
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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
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cerc_costs.egg-info/requires.txt
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numpy_financial
cerc_hub
pandas
setuptools

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cerc_costs.egg-info/top_level.txt
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costs

3
costs/total_operational_costs.py
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@ -73,8 +73,9 @@ 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 = \
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

2
costs/total_operational_incomes.py
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@ -37,7 +37,7 @@ class TotalOperationalIncomes(CostBase):
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 = archetype.income.electricity_export * cte.WATTS_HOUR_TO_JULES * 1000 # to account for unit change
self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (
onsite_electricity_production * price_export * price_increase_electricity
)

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