windpowerlib.wake_losses.get_wind_efficiency_curve¶

windpowerlib.wake_losses.get_wind_efficiency_curve(curve_name='all')[source]¶

Reads wind efficiency curve(s) specified in curve_name.

Parameters:: curve_name (str or list(str)) – Specifies the curve. Use ‘all’ to get all curves in a MultiIndex DataFrame or one of the curve names to retrieve a single curve. Default: ‘all’.
Returns:: Wind efficiency curve. Contains ‘wind_speed’ and ‘efficiency’ columns with wind speed in m/s and wind efficiency (dimensionless). If curve_name is ‘all’ or a list of strings a MultiIndex DataFrame is returned with curve names in the first level of the columns.
Return type:: pandas.DataFrame

Notes

The wind efficiency curves were generated in the “Dena Netzstudie” [1] and in the work of Kaspar Knorr [2]. The mean wind efficiency curve is an average curve from 12 wind farm distributed over Germany [1] or respectively an average from over 2000 wind farms in Germany [2]. Curves with the appendix ‘extreme’ are wind efficiency curves of single wind farms that are extremely deviating from the respective mean wind efficiency curve. For more information see [1] and [2].

References

Examples

# Example to plot all curves
fig, ax=plt.subplots() /n
df=get_wind_efficiency_curve(curve_name='all')
for t in df.columns.get_level_values(0).unique():
    p=df[t].set_index('wind_speed')['efficiency']
    p.name=t
    ax=p.plot(ax=ax, legend=True)
plt.show()