@@ -32,16 +32,14 @@ def smooth_power_curve(power_curve_wind_speeds, power_curve_values,
3232 Width of the moving block. Default: 0.5.
3333 standard_deviation_method : String
3434 Method for calculating the standard deviation for the gaussian
35- distribution. Options: 'turbulence_intensity', 'Norgaard', ' Staffell'.
35+ distribution. Options: 'turbulence_intensity', 'Staffell'.
3636 Default: 'turbulence_intensity'.
3737
3838 Other Parameters
3939 ----------------
4040 turbulence intensity : Float, optional
4141 Turbulence intensity at hub height of the wind turbine the power curve
4242 is smoothed for.
43- area_dimension : Float, optional
44- Dimension of the area the feed-in is calculated for in km.
4543
4644 Returns
4745 -------
@@ -72,14 +70,6 @@ def smooth_power_curve(power_curve_wind_speeds, power_curve_values,
7270 raise ValueError ("Turbulence intensity must be defined for " +
7371 "using 'turbulence_intensity' as " +
7472 "`standard_deviation_method`" )
75- elif standard_deviation_method == 'Norgaard' :
76- if 'area_dimension' not in kwargs :
77- raise ValueError ("area_dimension must be defined when " +
78- "'Norgaard' is being used as method." ) # TODO raise error if no TI
79- standard_deviation_df = pd .read_csv (
80- os .path .join (os .path .dirname (__file__ ),
81- 'data/Norgaard_standard_deviation.csv' ), index_col = 0 )
82- normalized_standard_deviation = 0.09
8373 elif standard_deviation_method == 'Staffell' :
8474 normalized_standard_deviation = 0.2
8575 # Initialize list for power curve values
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