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

Doekemeijer, Bart M.; Boersma, Sjoerd; Pao, Lucy Y.; Knudsen, Torben; van Wingerden, Jan-Willem

doi:https://doi.org/10.5194/wes-3-749-2018

Articles | Volume 3, issue 2

https://doi.org/10.5194/wes-3-749-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-3-749-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 3, issue 2

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, Sjoerd Boersma, Lucy Y. Pao, Torben Knudsen, and Jan-Willem van Wingerden

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Final revised paper (published on 24 Oct 2018)
Preprint (discussion started on 26 Apr 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'This is a required field but I don't know what it means', Anonymous Referee #1, 04 May 2018
RC2: 'Interesting paper, but way too long for its actual contribution', Anonymous Referee #2, 05 Jun 2018
AC1: 'Response to reviewers #1 and #2', Bart Doekemeijer, 05 Jul 2018

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)

AR by Bart M. Doekemeijer on behalf of the Authors (05 Oct 2018)

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.