Articles | Volume 7, issue 3
Wind Energ. Sci., 7, 1069–1091, 2022
https://doi.org/10.5194/wes-7-1069-2022
Wind Energ. Sci., 7, 1069–1091, 2022
https://doi.org/10.5194/wes-7-1069-2022
Research article
24 May 2022
Research article | 24 May 2022

Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models

Jana Fischereit 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-2021-106', Anonymous Referee #1, 26 Oct 2021
  • RC2: 'Comment on wes-2021-106', Anonymous Referee #2, 08 Nov 2021
  • RC3: 'Comment on wes-2021-106', Nicolai Gayle Nygaard, 09 Nov 2021
  • AC1: 'Comment on wes-2021-106', Jana Fischereit, 22 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jana Fischereit on behalf of the Authors (22 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (18 Jan 2022) by Raúl Bayoán Cal
RR by Anonymous Referee #2 (02 Feb 2022)
RR by Nicolai Gayle Nygaard (03 Mar 2022)
ED: Publish subject to minor revisions (review by editor) (01 Apr 2022) by Raúl Bayoán Cal
AR by Jana Fischereit on behalf of the Authors (07 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (24 Apr 2022) by Raúl Bayoán Cal
ED: Publish as is (02 May 2022) by Paul Veers(Chief Editor)
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Short summary
Wind turbines extract kinetic energy from the flow to create electricity. This induces a wake of reduced wind speed downstream of a turbine and consequently downstream of a wind farm. Different types of numerical models have been developed to calculate this effect. In this study, we compared models of different complexity, together with measurements over two wind farms. We found that higher-fidelity models perform better and the considered rapid models cannot fully capture the wake effect.