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Application of Liutex for Analysis of Complex Wake Flows Characteristics of the Wind Turbine

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Liutex and Third Generation of Vortex Definition and Identification

Abstract

To further understand the complicated wake characteristics of the wind turbine under various conditions, the Liutex vector is applied to identify the vortex in the turbine wake. The actuator line model is used to predict the aerodynamic performance of wind turbine. By combining the actuator line model and finite element method, the aeroelastic responses of wind turbine are obtained. Moreover, the actuator line model is embedded into in-house CFD code naoe-FOAM-SJTU to predict the coupled aero-hydrodynamic performance of the FOWT. Different vortex identification methods including the Vorticity method, Q method and Liutex method are adopted to visualize the wake characteristics. The wake characteristics of wind turbine calculated from different simulations are discussed in detail. Several conclusions can be drawn from the simulation results and discussions. Compared with the Vorticity method and Q method, the Liutex vector can better describe the complex wake characteristic of wind turbine in various conditions. The wake vorticity distribution behind the wind turbine is found to be asymmetric. In addition, the wake characteristics of the FOWT become more uneven when the platform motions are taken into consideration, and significant wake expansion phenomenon is observed.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (51879159), The National Key Research and Development Program of China (2019YFB1704200, 2019YFC0312400), Chang Jiang Scholars Program (T2014099), and Innovative Special Project of Numerical Tank of Ministry of Industry and Information Technology of China (2016-23/09), to which the authors are most grateful.

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Authors and Affiliations

  1. Computational Marine Hydrodynamics Lab (CMHL), School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China

    Yang Huang, Liushuai Cao & Decheng Wan

  2. Ocean College, Zhejiang University, Zhoushan, China

    Decheng Wan

Authors
  1. Yang Huang
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  2. Liushuai Cao
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  3. Decheng Wan
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Corresponding author

Correspondence to Decheng Wan .

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Editors and Affiliations

  1. University of Texas at Arlington, Arlington, TX, USA

    Chaoqun Liu

  2. Soochow University, Suzhou, Jiangsu, China

    Yiqian Wang

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Huang, Y., Cao, L., Wan, D. (2021). Application of Liutex for Analysis of Complex Wake Flows Characteristics of the Wind Turbine. In: Liu, C., Wang, Y. (eds) Liutex and Third Generation of Vortex Definition and Identification. Springer, Cham. https://doi.org/10.1007/978-3-030-70217-5_24

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