Articles | Volume 5, issue 2
Wind Energ. Sci., 5, 647–673, 2020
https://doi.org/10.5194/wes-5-647-2020
Wind Energ. Sci., 5, 647–673, 2020
https://doi.org/10.5194/wes-5-647-2020
Research article
27 May 2020
Research article | 27 May 2020

Improving wind farm flow models by learning from operational data

Johannes Schreiber et al.

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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.