bjoern/pypsa-eur
1
0
Fork 0
Code Issues Pull Requests Actions 1 Packages Projects Releases Wiki Activity

Merge pull request #655 from PyPSA/pre-commit-ci-update-config

Browse Source 
[pre-commit.ci] pre-commit autoupdate
This commit is contained in:
Fabian Neumann 2023-05-02 08:39:37 +02:00 committed by GitHub
commit 283bbb6434
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 7 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
.pre-commit-config.yaml
View File

@ -39,7 +39,7 @@ repos:
# Make docstrings PEP 257 compliant
- repo: https://github.com/PyCQA/docformatter
rev: v1.6.3
rev: v1.6.4
hooks:
- id: docformatter
args: ["--in-place", "--make-summary-multi-line", "--pre-summary-newline"]

12
scripts/build_retro_cost.py
View File

@ -513,7 +513,7 @@ def prepare_cost_retro(country_iso_dic):
def prepare_temperature_data():
"""
returns the temperature dependent data for each country:
Returns the temperature dependent data for each country:
d_heat : length of heating season pd.Series(index=countries) [days/year]
on those days, daily average temperature is below
@ -621,7 +621,7 @@ def calculate_costs(u_values, l, cost_retro, window_assumptions):
def calculate_new_u(u_values, l, l_weight, window_assumptions, k=0.035):
"""
calculate U-values after building retrofitting, depending on the old
Calculate U-values after building retrofitting, depending on the old
U-values (u_values). This is for simple insulation measuers, adding an
additional layer of insulation.
@ -682,7 +682,7 @@ def map_tabula_to_hotmaps(df_tabula, df_hotmaps, column_prefix):
def get_solar_gains_per_year(window_area):
"""
returns solar heat gains during heating season in [kWh/a] depending on the
Returns solar heat gains during heating season in [kWh/a] depending on the
window area [m^2] of the building, assuming a equal distributed window
orientation (east, south, north, west)
"""
@ -718,7 +718,7 @@ def map_to_lstrength(l_strength, df):
def calculate_heat_losses(u_values, data_tabula, l_strength, temperature_factor):
"""
calculates total annual heat losses Q_ht for different insulation
Calculates total annual heat losses Q_ht for different insulation
thicknesses (l_strength), depending on current insulation state (u_values),
standard building topologies and air ventilation from TABULA (data_tabula)
and the accumulated difference between internal and external temperature
@ -840,7 +840,7 @@ def calculate_heat_losses(u_values, data_tabula, l_strength, temperature_factor)
def calculate_heat_gains(data_tabula, heat_transfer_perm2, d_heat):
"""
calculates heat gains Q_gain [W/m^2], which consititure from gains by:
Calculates heat gains Q_gain [W/m^2], which consititure from gains by:
(1) solar radiation (2) internal heat gains
"""
@ -885,7 +885,7 @@ def calculate_space_heat_savings(
u_values, data_tabula, l_strength, temperature_factor, d_heat
):
"""
calculates space heat savings (dE_space [per unit of unrefurbished state])
Calculates space heat savings (dE_space [per unit of unrefurbished state])
through retrofitting of the thermal envelope by additional insulation
material (l_strength[m])
"""