Development of a second-order dynamic stall model

Adema, Niels; Kloosterman, Menno; Schepers, Gerard

doi:https://doi.org/10.5194/wes-5-577-2020

Articles | Volume 5, issue 2

https://doi.org/10.5194/wes-5-577-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Wind Energy Science Conference 2019

https://doi.org/10.5194/wes-5-577-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5, issue 2

Research article

|

15 May 2020

Research article |

| 15 May 2020

Development of a second-order dynamic stall model

Niels Adema, Menno Kloosterman, and Gerard Schepers

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Final revised paper (published on 15 May 2020)
Preprint (discussion started on 04 Dec 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'reviewer comments', Vasilis A. Riziotis, 21 Feb 2020
RC2: 'Xabier Munduate's evaluation and comments to your work: “Development of a Second Order Dynamic Stall Model” Niels Adema, Menno Kloosterman, Gerard Schepers for the Wind Energy Science journal.', Xabier Munduate, 28 Feb 2020
AC1: 'Author Comments', Niels Adema, 27 Mar 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Niels Adema on behalf of the Authors (02 Apr 2020) Author's response Manuscript

ED: Publish as is (06 Apr 2020) by Gerard J.W. van Bussel

ED: Publish as is (09 Apr 2020) by Jakob Mann (Chief editor)

AR by Niels Adema on behalf of the Authors (16 Apr 2020)

Short summary

It is crucial to model dynamic stall accurately to reduce inaccuracies in predicting fatigue and extreme loads. This paper investigates a new dynamic stall model. Improvements are proposed based on experiments. The updated model shows significant improvements over the initial model; however, further validation and research are still required. This updated model might be incorporated into future wind turbine design codes and will hopefully reduce inaccuracies in predicted wind turbine loads.