Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 5
Articles | Volume 7, issue 5
https://doi.org/10.5194/wes-7-1889-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-1889-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 5
Research article
 | 
14 Sep 2022
Research article |  | 14 Sep 2022

A WaveNet-based fully stochastic dynamic stall model

Jan-Philipp Küppers and Tamara Reinicke

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Short summary
Airfoils play a major role in the technical harnessing of energy from currents such as wind and water. When the angle of attack of a wing changes dynamically, the forces on the wing often change more than would have been assumed from static measurements alone. Since these dynamic forces have a strong influence, e.g., on the performance of airplanes and wind turbines, a neural-network-based model was created that can predict these loads and their stochastic fluctuations.
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