Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-585-2022
https://doi.org/10.5194/wes-7-585-2022
Research article
 | 
15 Mar 2022
Research article |  | 15 Mar 2022

Vortex identification methods applied to wind turbine tip vortices

Rodrigo Soto-Valle, Stefano Cioni, Sirko Bartholomay, Marinos Manolesos, Christian Navid Nayeri, Alessandro Bianchini, and Christian Oliver Paschereit

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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-2021-104', Anonymous Referee #1, 02 Nov 2021
    • AC1: 'Reply on RC1', Rodrigo Soto, 09 Nov 2021
  • RC2: 'Comment on wes-2021-104', Anonymous Referee #2, 10 Nov 2021
    • AC2: 'Reply on RC2', Rodrigo Soto, 24 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Rodrigo Soto on behalf of the Authors (14 Jan 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (25 Jan 2022) by Horia Hangan
ED: Publish as is (01 Feb 2022) by Gerard J.W. van Bussel (Chief editor)
AR by Rodrigo Soto on behalf of the Authors (03 Feb 2022)  Manuscript 
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Short summary
This paper compares different vortex identification methods to evaluate their suitability to study the tip vortices of a wind turbine. The assessment is done through experimental data from the wake of a wind turbine model. Results show comparability in some aspects as well as significant differences, providing evidence to justify further comparisons. Therefore, this study proves that the selection of the most suitable postprocessing methods of tip vortex data is pivotal to ensure robust results.
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