Articles | Volume 7, issue 3
Wind Energ. Sci., 7, 1137–1151, 2022
https://doi.org/10.5194/wes-7-1137-2022
Wind Energ. Sci., 7, 1137–1151, 2022
https://doi.org/10.5194/wes-7-1137-2022
Research article
01 Jun 2022
Research article | 01 Jun 2022

FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models

Michael J. LoCascio 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
  • CC1: 'Comment on wes-2021-116', Mads Pedersen, 28 Oct 2021
  • RC1: 'Comment on wes-2021-116', Anonymous Referee #1, 26 Nov 2021
  • RC2: 'Review of wes-2021-116', Paul van der Laan, 02 Dec 2021
  • AC1: 'Comment on wes-2021-116', Luis Martinez, 19 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Luis Martinez on behalf of the Authors (19 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (25 Feb 2022) by Jens Nørkær Sørensen
RR by Anonymous Referee #1 (11 Mar 2022)
RR by Paul van der Laan (29 Mar 2022)
ED: Publish subject to minor revisions (review by editor) (12 Apr 2022) by Jens Nørkær Sørensen
AR by Luis Martinez on behalf of the Authors (22 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (24 Apr 2022) by Jens Nørkær Sørensen
ED: Publish as is (02 May 2022) by Paul Veers(Chief Editor)
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Short summary
This work introduces the FLOW Estimation and Rose Superposition (FLOWERS) wind turbine wake model. This model analytically integrates the wake over wind directions to provide a time-averaged flow field. This new formulation is used to perform layout optimization. The FLOWERS model provides a smooth flow field over an entire wind plant at fraction of the computational cost of the standard numerical integration approach.