windpowerlib.wake_losses.reduce_wind_speed

windpowerlib.wake_losses.reduce_wind_speed(wind_speed, wind_efficiency_curve_name='dena_mean')[source]

Reduces wind speed by a wind efficiency curve.

The wind efficiency curves are provided in the windpowerlib and were calculated in the dena-Netzstudie II and in the work of Knorr (see [1] and [2]).

Parameters:
  • wind_speed (pandas.Series or numpy.array) – Wind speed time series.
  • wind_efficiency_curve_name (string) – Name of the wind efficiency curve. Use get_wind_efficiency_curve() to get all provided wind efficiency curves. Default: ‘dena_mean’.
Returns:

reduced_wind_speed – wind_speed reduced by wind efficiency curve.
Return type:

pd.Series or np.array

References

[1]Kohler et.al.: “dena-Netzstudie II. Integration erneuerbarer Energien in die deutsche Stromversorgung im Zeitraum 2015 – 2020 mit Ausblick 2025.”, Deutsche Energie-Agentur GmbH (dena), Tech. rept., 2010, p. 101
[2]Knorr, K.: “Modellierung von raum-zeitlichen Eigenschaften der Windenergieeinspeisung für wetterdatenbasierte Windleistungssimulationen”. Universität Kassel, Diss., 2016, p. 124