Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 5
Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-2135-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-2135-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 5
Research article
 | 
26 Oct 2022
Research article |  | 26 Oct 2022

Gaussian mixture model for extreme wind turbulence estimation

Xiaodong Zhang and Anand Natarajan

Viewed

Total article views: 1,490 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,023 419 48 1,490 38 32
  • HTML: 1,023
  • PDF: 419
  • XML: 48
  • Total: 1,490
  • BibTeX: 38
  • EndNote: 32
Views and downloads (calculated since 04 Jan 2022)
Cumulative views and downloads (calculated since 04 Jan 2022)

Viewed (geographical distribution)

Total article views: 1,490 (including HTML, PDF, and XML) Thereof 1,447 with geography defined and 43 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint