A Nonlinear Wind Turbine Wake Expansion Model Considering Atmospheric Stability and Ground Effects

Xingxing Han, Tongguang Wang, Xiandong Ma, Chang Xu (), Shifeng Fu, Jinmeng Zhang, Feifei Xue and Zhe Cheng
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Xingxing Han: College of Renewable Energy, Hohai University, Changzhou 213200, China
Tongguang Wang: Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Xiandong Ma: School of Engineering, Lancaster University, Lancaster LA1 4YW, UK
Chang Xu: College of Renewable Energy, Hohai University, Changzhou 213200, China
Shifeng Fu: College of Electrical Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
Jinmeng Zhang: College of Renewable Energy, Hohai University, Changzhou 213200, China
Feifei Xue: College of Renewable Energy, Hohai University, Changzhou 213200, China
Zhe Cheng: College of Renewable Energy, Hohai University, Changzhou 213200, China

Energies, 2024, vol. 17, issue 17, 1-24

Abstract: This study investigates the influence of atmospheric stability and ground effects on wind turbine wake recovery, challenging the conventional linear relationship between turbulence intensity and wake expansion coefficient. Through comprehensive field measurements and numerical simulations, we demonstrate that the linear wake expansion assumption is invalid at far-wake locations under high turbulence conditions, primarily due to ground effects. We propose a novel nonlinear wake expansion model that incorporates both atmospheric stability and ground effects by introducing a logarithmic relationship between the wake expansion coefficient and turbulence intensity. Validation results reveal the superior prediction accuracy of the proposed model compared to typical engineering wake models, with root mean square errors of wake wind speed predictions ranging from 0.04 to 0.063. The proposed model offers significant potential for optimizing wind farm layouts and enhancing overall wind energy production efficiency.

Keywords: wind turbine; nonlinear wake expansion model; atmospheric stability; ground effects (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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