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Novel energy coefficient used to predict efflux velocity of tidal current turbine

Author

Listed:
  • Wang, Shuguang
  • Lam, Wei-Haur
  • Cui, Yonggang
  • Zhang, Tianming
  • Jiang, Jinxin
  • Sun, Chong
  • Guo, Jianhua
  • Ma, Yanbo
  • Hamill, Gerard

Abstract

The efflux velocity is the basis for the prediction of turbine wake. A novel energy coefficient is defined to propose a new theoretical equation to predict the efflux velocity of tidal current turbine in this paper. Several CFD cases with different tip speed ratio and solidity is conducted using the DES-SA model. In order to overcome the limitations of the axial momentum theory, the effects of tip speed ratio and solidity on the efflux velocity are studied and the energy coefficients with different tip speed ratio and solidity are determined using the proposed equation based on the CFD results. Several semi-empirical efflux velocity equations are finally proposed by fitting the equation of the energy coefficient with tip speed ratio. The application of these equations in the prediction of wake flow and the power calculation of tidal turbine are also introduced in this paper.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:158:y:2018:i:c:p:730-745
    DOI: 10.1016/j.energy.2018.06.032
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    References listed on IDEAS

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    1. Mycek, Paul & Gaurier, Benoît & Germain, Grégory & Pinon, Grégory & Rivoalen, Elie, 2014. "Experimental study of the turbulence intensity effects on marine current turbines behaviour. Part II: Two interacting turbines," Renewable Energy, Elsevier, vol. 68(C), pages 876-892.
    2. Mycek, Paul & Gaurier, Benoît & Germain, Grégory & Pinon, Grégory & Rivoalen, Elie, 2014. "Experimental study of the turbulence intensity effects on marine current turbines behaviour. Part I: One single turbine," Renewable Energy, Elsevier, vol. 66(C), pages 729-746.
    3. Lam, Wei-Haur & Chen, Long & Hashim, Roslan, 2015. "Analytical wake model of tidal current turbine," Energy, Elsevier, vol. 79(C), pages 512-521.
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    Cited by:

    1. Tianming Zhang & Wei Haur Lam & Yonggang Cui & Jinxin Jiang & Chong Sun & Jianhua Guo & Yanbo Ma & Shuguang Wang & Su Shiung Lam & Gerard Hamill, 2019. "Tip-Bed Velocity and Scour Depth of Horizontal-Axis Tidal Turbine with Consideration of Tip Clearance," Energies, MDPI, vol. 12(12), pages 1-24, June.
    2. Anan Zhang & Yangfan Sun & Wei Yang & Huang Huang & Yating Feng, 2019. "Optimal Dispatching of Offshore Microgrid Considering Probability Prediction of Tidal Current Speed," Energies, MDPI, vol. 12(17), pages 1-17, September.
    3. 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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