Preprints
https://doi.org/10.5194/wes-2023-79
https://doi.org/10.5194/wes-2023-79
31 Jul 2023
 | 31 Jul 2023
Status: this preprint is currently under review for the journal WES.

Gaussian wake model fitting in a transient event over Alpha Ventus wind farm

Maria Krutova and Mostafa Bakhoday-Paskyabi

Abstract. Engineering wake models are defined by mathematical expressions and a set of coefficients. Because of their simplicity, the models may be rigid in transient events such as open cellular convection (OCC), characterized by a strong wind speed and direction change within tens of minutes. We use the results of a multiscale wind-wake modeling during an OCC event at the Alpha Ventus wind farm in the Southern North Sea to study how Gaussian models capture wake deficit variabilities. We find that the Jensen-Gaussian model would benefit from a constant coefficient tuning. On the contrary, the Bastankhah and Porté-Agel model and the super-Gaussian model are consistent without tuning but perform best with different deficit distribution shapes.

Maria Krutova and Mostafa Bakhoday-Paskyabi

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-79', Anonymous Referee #1, 18 Aug 2023
  • RC2: 'Comment on wes-2023-79', Anonymous Referee #2, 05 Sep 2023
  • RC3: 'Comment on wes-2023-79', Anonymous Referee #3, 12 Sep 2023
  • AC1: 'Final response', Maria Krutova, 22 Dec 2023
Maria Krutova and Mostafa Bakhoday-Paskyabi

Data sets

Gaussian wake model fitting to a transient event simulated with WRF-LES Maria Krutova https://doi.org/10.5281/zenodo.8135542

Maria Krutova and Mostafa Bakhoday-Paskyabi

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Short summary
Wind turbine wake studies often rely on engineering models, which consist of simple analytical expressions. We review an atmospheric event resulting in a strong wind flow change within tens of minutes and apply several wake models to see how they respond to new conditions. We find that two models are consistent with their predictions, and one of them, the super-Gaussian model, predicts the wake shape particularly well; more attention should be paid to its development and implementation.
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