windkit.mean_power_density#

windkit.mean_power_density(wc_obj, *, bysector=False, air_density=1.225, n_sectors=None)[source]#

Calculate the power density of wind climate object

Parameters:

  • wc_obj (xarray.Dataset) – Binned, Weibull or time series wind climate.

  • bysector (bool) – Calculate the power density by sector, defaults to False. A time series wind climate is binned into sectors with windkit.wd_to_sector(), skipping samples without a direction.

  • air_density (float or xarray.DataArray) – Air density, defaults to 1.225.

  • n_sectors (int, optional) – Number of sectors to bin a time series wind climate into when bysector is True. Defaults to 12.

Returns:

mean_power_density. Missing samples of a time series are skipped, and a sector without samples gives NaN.

Return type:

xarray.DataArray

Raises:

ValueError – If wc_obj is not a known wind climate, or n_sectors is given for anything but a time series wind climate with bysector=True or is not a positive integer.

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