Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 749–765, 2018
https://doi.org/10.5194/wes-3-749-2018
Wind Energ. Sci., 3, 749–765, 2018
https://doi.org/10.5194/wes-3-749-2018

Research article 24 Oct 2018

Research article | 24 Oct 2018

Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control

Bart M. Doekemeijer et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Bart M. Doekemeijer on behalf of the Authors (31 Jul 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (09 Aug 2018) by Carlo L. Bottasso
RR by Anonymous Referee #2 (29 Aug 2018)
RR by Anonymous Referee #1 (30 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (11 Sep 2018) by Carlo L. Bottasso
AR by Bart M. Doekemeijer on behalf of the Authors (17 Sep 2018)  Author's response    Manuscript
ED: Publish as is (02 Oct 2018) by Carlo L. Bottasso
ED: Publish as is (03 Oct 2018) by Jakob Mann(Chief Editor)
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Short summary
Most wind farm control algorithms in the literature rely on a simplified mathematical model that requires constant calibration to the current conditions. This paper provides such an estimation algorithm for a dynamic model capturing the turbine power production and flow field at hub height. Performance was demonstrated in high-fidelity simulations for two-turbine and nine-turbine farms, accurately estimating the ambient conditions and wind field inside the farms at a low computational cost.