1. A yawed wake model to predict the velocity distribution of curled wake cross-section for wind turbines.
- Author
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Yang, Qingshan, Liu, Guangyi, and Qian, Yingyu
- Subjects
- *
WIND turbines , *FRICTION velocity , *STREAMFLOW velocity , *VELOCITY , *WIND tunnels - Abstract
An analytical yawed wake model for wind turbine, which predicts the streamwise velocity distribution within the wake of a yawed wind turbine, is proposed in this study. The model applies mass and momentum conservation and uses a self-similar Gaussian shape to depict the transverse distribution of the streamwise velocity deficit and skew angle. Unlike existing yawed wake models, this model introduces additional equations to predict the transverse locations of maximum velocity deficit at different heights. What's more, a novel formula to calculate the expansion rate of wake width is proposed by the friction velocity, inflow velocity and the thrust coefficient. The measured data of wind tunnel experiment are used to investigate the validity of this model, as well as the other existing models firstly. Then, for validating the velocity distribution in the curled cross-section, the numerical simulations of wake under different yaw angles were carried out to provide the wake data. Comparisons between model predictions, experimental data and numerical results demonstrate that the model can satisfactorily predict the yawed wake deformation, as well as the velocity distribution at different heights. Due to its high accuracy and cost-effectiveness, this yawed wake model is advantageous for the application of yaw angle control. • The Gaussian-shape analytical model is proposed to describe the distribution of wake velocity. • This model considers the curled deformation of yawed wake with height. • A novel formula to compute the expansion rate of wake is introduced through the friction velocity. • The predictions of analytical model give outstanding performance in comparisons with CFD results and experimental data. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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