Articles | Volume 11, issue 4
https://doi.org/10.5194/wes-11-1123-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
An open database of high-fidelity, multi-Reynolds airfoil polars for wind turbine blade design
Download
- Final revised paper (published on 08 Apr 2026)
- Preprint (discussion started on 24 Nov 2025)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on wes-2025-257', Anonymous Referee #1, 08 Dec 2025
- AC1: 'Reply on RC1', Alessandro Bianchini, 18 Feb 2026
-
RC2: 'Comment on wes-2025-257', Anonymous Referee #2, 15 Jan 2026
- AC2: 'Reply on RC2', Alessandro Bianchini, 18 Feb 2026
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Alessandro Bianchini on behalf of the Authors (18 Feb 2026)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (03 Mar 2026) by Johan Meyers
RR by Anonymous Referee #2 (11 Mar 2026)
RR by Anonymous Referee #1 (15 Mar 2026)
ED: Publish as is (16 Mar 2026) by Johan Meyers
ED: Publish as is (18 Mar 2026) by Sandrine Aubrun (Chief editor)
AR by Alessandro Bianchini on behalf of the Authors (20 Mar 2026)
In this paper, the authors conduct high-fidelity URANS simulations on different airfoil families to determine the aerodynamic coefficients under a wide variety of operating conditions. Overall, the current research contributes to improving the understanding of blade design and efficiency using new types of airfoils and providing a complete database to be used by the community for this purpose. Before conducting the final simulations, the authors carefully conduct domain, grid and timestep sensitivity analyses. The data set provides a solid foundation for future research to build upon and offers novelty by incorporating compressibility effects. However, the main weakness of the paper is the lack of clarity in several key justifications or model assumptions, which makes the computational setup and results difficult to interpret.
After reviewing the manuscript, I have grouped my comments into two categories, major concerns and minor corrections/suggestions.
Major comments:
Minor comments:
Overall, the manuscript needs major changes and rewriting before considering for publication. If all comments as described above are addressed, I recommend that the manuscript should be accepted.