Improving wind farm flow models by learning from operational data

Schreiber, Johannes; Bottasso, Carlo L.; Salbert, Bastian; Campagnolo, Filippo

doi:https://doi.org/10.5194/wes-5-647-2020

Articles | Volume 5, issue 2

https://doi.org/10.5194/wes-5-647-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-5-647-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5, issue 2

Research article

|

27 May 2020

Research article |

| 27 May 2020

Improving wind farm flow models by learning from operational data

Johannes Schreiber, Carlo L. Bottasso, Bastian Salbert, and Filippo Campagnolo

Download

Final revised paper (published on 27 May 2020)
Preprint (discussion started on 02 Dec 2019)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of wes-2019-91', Anonymous Referee #1, 06 Jan 2020
- AC1: 'Reply to the reviewers' comments', Carlo L. Bottasso, 31 Mar 2020
RC2: 'Review of the manuscript wes-2019-91', Anonymous Referee #2, 14 Feb 2020
- AC1: 'Reply to the reviewers' comments', Carlo L. Bottasso, 31 Mar 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Carlo L. Bottasso on behalf of the Authors (31 Mar 2020) Manuscript

ED: Referee Nomination & Report Request started (09 Apr 2020) by Alessandro Croce

RR by Anonymous Referee #2 (13 Apr 2020)

ED: Publish as is (20 Apr 2020) by Alessandro Croce

ED: Publish as is (20 Apr 2020) by Joachim Peinke (Chief editor)

AR by Carlo L. Bottasso on behalf of the Authors (21 Apr 2020) Manuscript

Short summary

The paper describes a new method that uses standard historical operational data and reconstructs the flow at the rotor disk of each turbine in a wind farm. The method is based on a baseline wind farm flow and wake model, augmented with error terms that are learned from operational data using an ad hoc system identification approach. Both wind tunnel experiments and real data from a wind farm at a complex terrain site are used to show the capabilities of the new method.