def wind_power_simulation(self):
wind_df = pd.DataFrame()
wind_df['wind_raw'] = self.resource_df.V2.apply(
lambda x: power_from_turbine(x, 1, self.power_coefficient, self.
cut_in_speed, self.rated_speed))
wind_df['wind_correction'] = resistance_power(self.resource_df, 1)
wind_df[
'wind_power'] = wind_df['wind_raw'] - wind_df['wind_correction']
self.wind = wind_df
return wind_df['wind_power']
def sim_wind(self,
area,
power_coefficient=0.3,
cut_in_speed=2,
rated_speed=15):
"""
Simulation wind power generation considering the added resistance of wind due the wind turbine.
:param area: float m^2 wind turbine swept area
:param power_coefficient: float power coefficient of wind turbine
:param cut_in_speed: float m/s cut-in speed of wind turbine
:param rated_speed: float m/s cut-out speed of wind turbine
:return: Nothing returned but wind_power Pandas series was created in class
"""
wind_df = self.get_resource_df
# Apply wind speed to ideal wind turbine model, get power production correction due to speed
wind_df['wind_power'] = wind_df.V2.apply(lambda x: power_from_turbine(
x, area, power_coefficient, cut_in_speed, rated_speed
)) - resistance_power(wind_df, area)
self.wind_power_raw = wind_df.V2.apply(lambda x: power_from_turbine(
x, area, power_coefficient, cut_in_speed, rated_speed))
self.wind_power = wind_df.wind_power
pass