Articles | Volume 7, issue 5
Wind Energ. Sci., 7, 1889–1903, 2022
https://doi.org/10.5194/wes-7-1889-2022
Wind Energ. Sci., 7, 1889–1903, 2022
https://doi.org/10.5194/wes-7-1889-2022
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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2022-13', Galih Bangga, 14 May 2022
    • AC1: 'Reply on RC1', Jan-Philipp Küppers, 01 Jun 2022
      • RC3: 'Reply on AC1', Galih Bangga, 01 Jun 2022
        • AC3: 'Reply on RC3', Jan-Philipp Küppers, 04 Jun 2022
  • RC2: 'Comment on wes-2022-13', Helge Aagaard Madsen, 23 May 2022
    • AC2: 'Reply on RC2', Jan-Philipp Küppers, 01 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jan-Philipp Küppers on behalf of the Authors (20 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (29 Jun 2022) by Jens Nørkær Sørensen
RR by Helge Aagaard Madsen (06 Jul 2022)
RR by Galih Bangga (12 Jul 2022)
ED: Publish as is (18 Aug 2022) by Jens Nørkær Sørensen
ED: Publish as is (18 Aug 2022) by Sandrine Aubrun(Chief Editor)
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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.