Articles | Volume 7, issue 2
Wind Energ. Sci., 7, 603–622, 2022
https://doi.org/10.5194/wes-7-603-2022
Wind Energ. Sci., 7, 603–622, 2022
https://doi.org/10.5194/wes-7-603-2022

Research article 15 Mar 2022

Research article | 15 Mar 2022

Local correlation-based transition models for high-Reynolds-number wind-turbine airfoils

Yong Su Jung et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2021-23', Anonymous Referee #1, 10 May 2021
    • AC1: 'Reply on RC1', Yong Su Jung, 12 Jun 2021
  • RC2: 'Review of wes-2021-23', Anonymous Referee #2, 01 Jun 2021
    • AC2: 'Reply on RC2', Yong Su Jung, 12 Jun 2021
      • RC3: 'Reply on AC2', Anonymous Referee #2, 25 Jun 2021
        • AC3: 'Reply on RC3', Yong Su Jung, 01 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yong Su Jung on behalf of the Authors (06 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (19 Jul 2021) by Gerard J.W. van Bussel
RR by Anonymous Referee #2 (03 Aug 2021)
RR by Anonymous Referee #1 (09 Aug 2021)
ED: Publish subject to minor revisions (review by editor) (18 Oct 2021) by Gerard J.W. van Bussel
AR by Yong Su Jung on behalf of the Authors (24 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (17 Jan 2022) by Gerard J.W. van Bussel
AR by Yong Su Jung on behalf of the Authors (24 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Feb 2022) by Gerard J.W. van Bussel
ED: Publish as is (07 Feb 2022) by Jakob Mann(Chief Editor)
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Short summary
In RANS CFD, the eN-based method showed its superiority over local correlation-based transition models (LCTMs) coupled with the SST turbulence model for predicting transition behavior at high-Reynolds-number flows (3–15 million). We evaluated the performance of two LCTMs coupled with the SA turbulence model. As a result, the SA-based two-equation transition model showed a comparable performance with the eN-based method and better glide ratio (L/D) predictions than the SST-based model.