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Analytical wake model of tidal current turbine

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  • Lam, Wei-Haur
  • Chen, Long
  • Hashim, Roslan

Abstract

Prediction of the wake structure is important to understand the lee flow of a tidal current turbine. The proposed analytical wake model consists of several equations derived from the theoretical works of a ship propeller jet. Axial momentum theory was used to predict the minimum velocity at the immediate plane of the lee wake and followed by the proposed recovery equation to determine the minimum velocity at various lateral sections along the rotation axis. Gaussian probability distribution was used to predict the velocity distribution of lateral sections in a wake. Entire wake is able to be illustrated through the calculation of the efflux equation, recovery equation and lateral distribution equations. Authors' previous works proposed a simplified one-dipped velocity profile and this works were being extended to predict the two-dipped velocity profile with the consideration of hub effects. The wake model is validated by using the well-accepted experimental measurements and the goodness-of-fit test. The results demonstrated that the wake model is able to predict the wake profile under various ambient turbulence conditions of TI (turbulence intensity) = 3%, 5%, 8% and 15%.

Suggested Citation

  • Lam, Wei-Haur & Chen, Long & Hashim, Roslan, 2015. "Analytical wake model of tidal current turbine," Energy, Elsevier, vol. 79(C), pages 512-521.
  • Handle: RePEc:eee:energy:v:79:y:2015:i:c:p:512-521
    DOI: 10.1016/j.energy.2014.11.047
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    References listed on IDEAS

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    Cited by:

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    5. Wang, Shuguang & Lam, Wei-Haur & Cui, Yonggang & Zhang, Tianming & Jiang, Jinxin & Sun, Chong & Guo, Jianhua & Ma, Yanbo & Hamill, Gerard, 2018. "Novel energy coefficient used to predict efflux velocity of tidal current turbine," Energy, Elsevier, vol. 158(C), pages 730-745.
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    8. Gu, Ya-jing & Yin, Xiu-xing & Liu, Hong-wei & Li, Wei & Lin, Yong-gang, 2015. "Fuzzy terminal sliding mode control for extracting maximum marine current energy," Energy, Elsevier, vol. 90(P1), pages 258-265.
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    10. Sun, Guang & Wang, Yong & Xie, Yudong & Lv, Kai & Sheng, Ruoyu, 2021. "Research on the effect of a movable gurney flap on energy extraction of oscillating hydrofoil," Energy, Elsevier, vol. 225(C).
    11. Lu, Kun & Xie, Yonghui & Zhang, Di & Xie, Gongnan, 2015. "Systematic investigation of the flow evolution and energy extraction performance of a flapping-airfoil power generator," Energy, Elsevier, vol. 89(C), pages 138-147.
    12. Vinod, Ashwin & Banerjee, Arindam, 2019. "Performance and near-wake characterization of a tidal current turbine in elevated levels of free stream turbulence," Applied Energy, Elsevier, vol. 254(C).
    13. Chen, Yaling & Lin, Binliang & Lin, Jie & Wang, Shujie, 2017. "Experimental study of wake structure behind a horizontal axis tidal stream turbine," Applied Energy, Elsevier, vol. 196(C), pages 82-96.
    14. Vinod, Ashwin & Han, Cong & Banerjee, Arindam, 2021. "Tidal turbine performance and near-wake characteristics in a sheared turbulent inflow," Renewable Energy, Elsevier, vol. 175(C), pages 840-852.
    15. Yang, Zhixue & Ren, Zhouyang & Li, Hui & Pan, Zhen & Xia, Weiyi, 2024. "A review of tidal current power generation farm planning: Methodologies, characteristics and challenges," Renewable Energy, Elsevier, vol. 220(C).
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    17. Niebuhr, C.M. & Schmidt, S. & van Dijk, M. & Smith, L. & Neary, V.S., 2022. "A review of commercial numerical modelling approaches for axial hydrokinetic turbine wake analysis in channel flow," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    18. 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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