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Experimental Analysis and Evaluation of the Numerical Prediction of Wake Characteristics of Tidal Stream Turbine

Author

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  • Yuquan Zhang

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

  • Jisheng Zhang

    (College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China)

  • Yuan Zheng

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

  • Chunxia Yang

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

  • Wei Zang

    (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China)

  • E. Fernandez-Rodriguez

    (Technological Institute of Merida, Technological Avenue, Merida 97118, Mexico)

Abstract

It is important to understand tidal stream turbine performance and flow field, if tidal energy is to advance. The operating condition of a tidal stream turbine with a supporting structure has a significant impact on its performance and wake recovery. The aim of this work is to provide an understanding of turbine submerged depth that governs the downstream wake structure and its recovery to the free-stream velocity profile. An experimentally validated numerical model, based on a computational fluid dynamics (CFD) tool, was present to obtain longitudinal, transverse and vertical velocity profiles. Wake characteristics measurements have been carried out in an open channel at Hohai University. The results indicate that varying the turbine proximity to the water surface introduces differential mass flow rate around the rotor that could make the wake persist differently downstream. CFD shows the same predicted wake recovery tendency with the experiments, and an agreement from CFD and experiments is good in the far-wake region. The results presented demonstrate that CFD is a good tool to simulate the performance of tidal turbines particularly in the far-wake region and that the turbine proximity to the water surface has an effect on the wake recovery.

Suggested Citation

  • Yuquan Zhang & Jisheng Zhang & Yuan Zheng & Chunxia Yang & Wei Zang & E. Fernandez-Rodriguez, 2017. "Experimental Analysis and Evaluation of the Numerical Prediction of Wake Characteristics of Tidal Stream Turbine," Energies, MDPI, vol. 10(12), pages 1-11, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2057-:d:121697
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    References listed on IDEAS

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    Cited by:

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    2. Zhang, Yuquan & Zang, Wei & Zheng, Jinhai & Cappietti, Lorenzo & Zhang, Jisheng & Zheng, Yuan & Fernandez-Rodriguez, E., 2021. "The influence of waves propagating with the current on the wake of a tidal stream turbine," Applied Energy, Elsevier, vol. 290(C).
    3. Zhang, Jisheng & Zhou, Yudi & Lin, Xiangfeng & Wang, Guohui & Guo, Yakun & Chen, Hao, 2022. "Experimental investigation on wake and thrust characteristics of a twin-rotor horizontal axis tidal stream turbine," Renewable Energy, Elsevier, vol. 195(C), pages 701-715.
    4. Yuquan Zhang & Yanhe Xu & Yuan Zheng & E. Fernandez-Rodriguez & Aoran Sun & Chunxia Yang & Jue Wang, 2019. "Multiobjective Optimization Design and Experimental Investigation on the Axial Flow Pump with Orthogonal Test Approach," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    5. Zhen Qin & Xiaoran Tang & Yu-Ting Wu & Sung-Ki Lyu, 2022. "Advancement of Tidal Current Generation Technology in Recent Years: A Review," Energies, MDPI, vol. 15(21), pages 1-18, October.
    6. Leidy Tatiana Contreras & Omar Dario Lopez & Santiago Lain, 2018. "Computational Fluid Dynamics Modelling and Simulation of an Inclined Horizontal Axis Hydrokinetic Turbine," Energies, MDPI, vol. 11(11), pages 1-23, November.
    7. Ebdon, Tim & Allmark, Matthew J. & O’Doherty, Daphne M. & Mason-Jones, Allan & O’Doherty, Tim & Germain, Gregory & Gaurier, Benoit, 2021. "The impact of turbulence and turbine operating condition on the wakes of tidal turbines," Renewable Energy, Elsevier, vol. 165(P2), pages 96-116.

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