Articles | Volume 11, issue 3
https://doi.org/10.5194/wes-11-753-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Experimental characterization of dynamic stall of the FFA-W3-211 wind turbine airfoil
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- Final revised paper (published on 04 Mar 2026)
- Preprint (discussion started on 14 Jul 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on wes-2025-121', Anonymous Referee #1, 08 Aug 2025
- AC3: 'Reply on RC1', Simone Chellini, 16 Oct 2025
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RC2: 'Comment on wes-2025-121', Anonymous Referee #2, 20 Sep 2025
- AC2: 'Reply on RC2', Simone Chellini, 16 Oct 2025
- AC1: 'Comment on wes-2025-121', Simone Chellini, 25 Sep 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Simone Chellini on behalf of the Authors (28 Nov 2025)
Author's response
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Manuscript
ED: Referee Nomination & Report Request started (01 Dec 2025) by Oguz Uzol
ED: Publish as is (30 Jan 2026) by Oguz Uzol
ED: Publish as is (12 Feb 2026) by Sandrine Aubrun (Chief editor)
AR by Simone Chellini on behalf of the Authors (12 Feb 2026)
This paper is describing a new experimental dynamic stall dataset obtained for a commonly used airfoil in IEA 15 and 22MW reference wind turbines and other studies. Experiments are in good quality, the data covers a wide operational range assessing Reynolds number, reduced frequency, oscillating frequency and amplitude effects for negative, linear and positive lift regions. This dataset helps improving the understanding of wind turbine airfoils' dynamic stall behavior and has potential to be a new source for calibrating dynamic stall models used in wind turbine design or validating numerical models. The structure of the paper is good, motivation is well described and valid. Experimental setup and execution is also described well. However, there are a number of points which require significant improvements. These are namely:
Due to the importance and the quality of the dataset, this paper could be given an opportunity to improve these aspects.
More detailed review and specific questions can be found in the document enclosed.