Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 2
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

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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.
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