@@ -60,9 +60,6 @@ def cp_curve(v_wind, rho_hub, d_rotor, cp_values):
6060
6161 """
6262 # cp time series
63- # TODO introduce new parameter v_cutout to allow for power output above
64- # maximum wind speed from power coefficient curve (maximum power output
65- # must be limited)
6663 cp_series = np .interp (v_wind , cp_values .index , cp_values .cp ,
6764 left = 0 , right = 0 )
6865 power_output = (1 / 8 * rho_hub * d_rotor ** 2 * np .pi
@@ -148,8 +145,6 @@ def p_curve(p_values, v_wind):
148145 wind speed given in the power curve is zero.
149146
150147 """
151- # TODO introduce new parameter v_cutout to allow for power output above
152- # maximum wind speed from power curve
153148 power_output = np .interp (v_wind , p_values .index , p_values .P ,
154149 left = 0 , right = 0 )
155150 # Set index for time series
@@ -226,8 +221,6 @@ def p_curve_density_corr(v_wind, rho_hub, p_values):
226221 at Reiner Lemoine Institute, 2014, p. 13
227222
228223 """
229- # TODO introduce new parameter v_cutout to allow for power output above
230- # maximum wind speed from power curve
231224 power_output = [(np .interp (v_wind [i ],
232225 p_values .index * (1.225 / rho_hub [i ])** (
233226 np .interp (p_values .index ,
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