Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-2135-2022
https://doi.org/10.5194/wes-7-2135-2022
Research article
 | 
26 Oct 2022
Research article |  | 26 Oct 2022

Gaussian mixture model for extreme wind turbulence estimation

Xiaodong Zhang and Anand Natarajan

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Short summary
Joint probability distribution of 10 min mean wind speed and the standard deviation is proposed using the Gaussian mixture model and has been shown to agree well with 15 years of measurements. The environmental contour with a 50-year return period (extreme turbulence) is estimated. The results from the model could be taken as inputs for structural reliability analysis and uncertainty quantification of wind turbine design loads.
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