Toward a Data-informed Update of Park2 Wind Turbine Wake Model for Predicting Power Efficiency of Wind Farms

LiDAR wind-field and SCADA measurements were collected by VTT at the Santavuori wind farm from December 10, 2020 to October 31, 2021, providing deeper than normal visibility into turbine and farm performance. These measurements were used to characterize the operation of the wind farm and identify anomalous operating regimes. The measured data were further used to calculate empirical wake spreading parameter in the Park2 wake model and showed reasonable agreement with past studies. Depending on the time period over which the farm efficiency data was averaged, large differences in the calibrated value of the wake spreading parameter were observed. These differences began to appear at time scales or three days or shorter. After investigation, these differences were often driven by situations where the observed efficiency was lower than could possibly be predicted by the model, motivating the need to predict how often the Park2 model predictions are applicable. In the current data set, spectral average turbulence intensity and wind shear exponent did not show predictive capacity in logistic regression for the applicability of the Park2 model.