The wind farm as a sensor: learning and  explaining orographic and plant-induced  flow heterogeneities from operational data

Braunbehrens, Robert; Vad, Andreas; Bottasso, Carlo L.

doi:https://doi.org/10.5194/wes-8-691-2023

Articles | Volume 8, issue 5

https://doi.org/10.5194/wes-8-691-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-8-691-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 5

Research article

|

05 May 2023

Research article |

| 05 May 2023

The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data

Robert Braunbehrens, Andreas Vad, and Carlo L. Bottasso

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Final revised paper (published on 05 May 2023)
Preprint (discussion started on 19 Aug 2022)

Interactive discussion

Status: closed

RC1:
'Comment on wes-2022-67', Luoqin Liu, 03 Nov 2022

Please see the attachment.

Citation: https://doi.org/10.5194/wes-2022-67-RC1
- AC1: 'Reply on RC1', Carlo L. Bottasso, 10 Feb 2023
  
  The comment was uploaded in the form of a supplement: https://wes.copernicus.org/preprints/wes-2022-67/wes-2022-67-AC1-supplement.pdf
  
  Citation: https://doi.org/10.5194/wes-2022-67-AC1
RC2:
'Comment on wes-2022-67', Anonymous Referee #2, 16 Nov 2022

The comment was uploaded in the form of a supplement: https://wes.copernicus.org/preprints/wes-2022-67/wes-2022-67-RC2-supplement.pdf

Citation: https://doi.org/10.5194/wes-2022-67-RC2
- AC1: 'Reply on RC1', Carlo L. Bottasso, 10 Feb 2023
  
  The comment was uploaded in the form of a supplement: https://wes.copernicus.org/preprints/wes-2022-67/wes-2022-67-AC1-supplement.pdf
  
  Citation: https://doi.org/10.5194/wes-2022-67-AC1

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

AR by Carlo L. Bottasso on behalf of the Authors (10 Feb 2023) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (21 Feb 2023) by Jens Nørkær Sørensen

RR by Anonymous Referee #1 (26 Feb 2023)

RR by Anonymous Referee #2 (08 Mar 2023)

ED: Publish as is (16 Mar 2023) by Jens Nørkær Sørensen

ED: Publish as is (16 Mar 2023) by Sandrine Aubrun (Chief editor)

AR by Carlo L. Bottasso on behalf of the Authors (05 Apr 2023) Manuscript

Short summary

The paper presents a new method in which wind turbines in a wind farm act as local sensors, in this way detecting the flow that develops within the power plant. Through this technique, we are able to identify effects on the flow generated by the plant itself and by the orography of the terrain. The new method not only delivers a flow model of much improved quality but can also help in understanding phenomena that drive the farm performance.