Gaussian mixture model for extreme  wind turbulence estimation

Zhang, Xiaodong; Natarajan, Anand

doi:https://doi.org/10.5194/wes-7-2135-2022

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

Download

Final revised paper (published on 26 Oct 2022)
Preprint (discussion started on 04 Jan 2022)

Interactive discussion

Status: closed

RC1: 'Comment on wes-2021-147', Anonymous Referee #1, 02 Feb 2022

See attached file for revision.

Citation: https://doi.org/10.5194/wes-2021-147-RC1
RC2: 'Comment on wes-2021-147', Anonymous Referee #2, 15 Jun 2022

The comment was uploaded in the form of a supplement: https://wes.copernicus.org/preprints/wes-2021-147/wes-2021-147-RC2-supplement.pdf

Citation: https://doi.org/10.5194/wes-2021-147-RC2
AC1: 'Reply to reviewers on wes-2021-147', Xiaodong Zhang, 01 Jul 2022

Dear editors and reviewers,
Thank you for your time in your reviewing our submitted manuscript. We have replied to every comment posted by the reviewers and our response is attached to this comment.
Thanks again for the comments and advice made.
Best regards,
Xiaodong

Citation: https://doi.org/10.5194/wes-2021-147-AC1

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

AR by Xiaodong Zhang on behalf of the Authors (27 Jul 2022) Author's response Author's tracked changes Manuscript

ED: Publish subject to technical corrections (12 Aug 2022) by Horia Hangan

ED: Publish as is (09 Oct 2022) by Joachim Peinke (Chief editor)

AR by Xiaodong Zhang on behalf of the Authors (10 Oct 2022)

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.