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conference paper

An improved statistical wake meandering model

Brugger, Peter Andreas  
•
Markfort, Corey Dean  
•
Porté-Agel, Fernando  
2024
Journal of Physics: Conference Series
Torque 2024

A new statistical wake meandering (SWM) model is proposed that improves on existing models in the literature. Compared to the existing SWM models, the proposed model has a closed description that does not require simulations to create look-up tables while maintaining applicability to a wide range of flow conditions. The proposed SWM model is compared to the predictions of the Dynamic Wake Meandering (DWM) model and to wind speed measurements from a scanning Doppler lidar mounted on the nacelle of a utility-scale wind turbine for validation. The results show that the proposed model has a similar performance as the DWM model for the effect of wake meandering on the mean velocity deficit and the turbulence intensity, while being significantly faster to compute.

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Brugger_2024_J._Phys.__Conf._Ser._2767_092048.pdf

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openaccess

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CC BY

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878.35 KB

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6cef13f11f87a79ec961ef574ae068a8

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