Wind Energy Science
Wind Energy Science
Wind Energy Science
Articles | Volume 7, issue 2
Articles | Volume 7, issue 2
Wind Energ. Sci., 7, 603–622, 2022
https://doi.org/10.5194/wes-7-603-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Wind Energ. Sci., 7, 603–622, 2022
https://doi.org/10.5194/wes-7-603-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 2
Research article
15 Mar 2022
Research article | 15 Mar 2022

Local correlation-based transition models for high-Reynolds-number wind-turbine airfoils

Yong Su Jung et al.

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Short summary
In RANS CFD, the eN-based method showed its superiority over local correlation-based transition models (LCTMs) coupled with the SST turbulence model for predicting transition behavior at high-Reynolds-number flows (3–15 million). We evaluated the performance of two LCTMs coupled with the SA turbulence model. As a result, the SA-based two-equation transition model showed a comparable performance with the eN-based method and better glide ratio (L/D) predictions than the SST-based model.
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