Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 6
Articles | Volume 9, issue 6
https://doi.org/10.5194/wes-9-1363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 6
Research article
 | 
20 Jun 2024
Research article |  | 20 Jun 2024

Improvements to the dynamic wake meandering model by incorporating the turbulent Schmidt number

Peter Brugger, Corey D. Markfort, and Fernando Porté-Agel

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Cited articles

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Antonia, R., Zhou, Y., and Matsumura, M.: Spectral characteristics of momentum and heat transfer in the turbulent wake of a circular cylinder, Exp. Therm. Fluid Sci., 6, 371–375, https://doi.org/10.1016/0894-1777(93)90015-B, 1993. a
Bastankhah, M. and Porté-Agel, F.: Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech., 806, 506–541, https://doi.org/10.1017/jfm.2016.595, 2016. a, b, c
Bastankhah, M. and Porté-Agel, F.: A New Miniature Wind Turbine for Wind Tunnel Experiments. Part II: Wake Structure and Flow Dynamics, Energies, 10, 923, https://doi.org/10.3390/en10070923, 2017. a
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The dynamic wake meandering model (DWMM) assumes that wind turbine wakes are transported like a passive tracer by the large-scale turbulence of the atmospheric boundary layer. We show that both the downstream transport and the lateral transport of the wake have differences from the passive tracer assumption. We then propose to include the turbulent Schmidt number into the DWMM to account for the less efficient transport of momentum and show that it improves the quality of the model predictions.
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