Probabilistic estimation of the dynamic wake meandering model parameters using spinnerlidar-derived wake characteristics

HIGHLIGHTS

• who: Wind Energ. Sci. et al. from the of Energy, Technical University of Denmark have published the article: Probabilistic estimation of the Dynamic Wake Meandering model parameters using SpinnerLidar-derived wake characteristics, in the Journal: (JOURNAL)
• what: The authors show that the current DWM model parameters in the IEC standard lead to conservative deficit predictions for ambient turbulence intensities above 12 % at the SWiFT site. The authors provide practical recommendations for reliable calibration procedures. The outcomes of this study are useful for improving currently adopted wake simulation procedures for load analysis in the IEC standards . . .
  

   

  

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