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Multi-objective numerical optimization of the front blade pitch angle distribution in a counter-rotating type horizontal-axis tidal turbine

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  • Huang, B.
  • Kanemoto, T.

Abstract

In order to exploit renewable energies from tidal stream, tandem propellers of a unique counter-rotating type horizontal-axis tidal turbine was firstly designed based on the blade element momentum (BEM) theory. And then a multi-objective numerical optimization method coupled the response surface method (RSM) with the genetic algorithm (GA) was employed to obtain desirable blade profiles. The front blade pitch angle distribution was taken as optimization variable in this paper, as it plays an important role in affecting the inlet conditions of the rear blade. The numerical results show that both optimization objectives of power coefficient and thrust coefficient can be significantly improved. It was verified that the performance of the power unit with the optimized blades increases obviously by optimizing the pitch angle.

Suggested Citation

  • Huang, B. & Kanemoto, T., 2015. "Multi-objective numerical optimization of the front blade pitch angle distribution in a counter-rotating type horizontal-axis tidal turbine," Renewable Energy, Elsevier, vol. 81(C), pages 837-844.
  • Handle: RePEc:eee:renene:v:81:y:2015:i:c:p:837-844
    DOI: 10.1016/j.renene.2015.04.008
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    References listed on IDEAS

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    1. Batten, W.M.J. & Bahaj, A.S. & Molland, A.F. & Chaplin, J.R., 2008. "The prediction of the hydrodynamic performance of marine current turbines," Renewable Energy, Elsevier, vol. 33(5), pages 1085-1096.
    2. Batten, W.M.J. & Bahaj, A.S. & Molland, A.F. & Chaplin, J.R., 2006. "Hydrodynamics of marine current turbines," Renewable Energy, Elsevier, vol. 31(2), pages 249-256.
    3. Bahaj, A.S. & Molland, A.F. & Chaplin, J.R. & Batten, W.M.J., 2007. "Power and thrust measurements of marine current turbines under various hydrodynamic flow conditions in a cavitation tunnel and a towing tank," Renewable Energy, Elsevier, vol. 32(3), pages 407-426.
    4. Bahaj, A.S. & Batten, W.M.J. & McCann, G., 2007. "Experimental verifications of numerical predictions for the hydrodynamic performance of horizontal axis marine current turbines," Renewable Energy, Elsevier, vol. 32(15), pages 2479-2490.
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    Cited by:

    1. Liu, Xiaodong & Feng, Bo & Liu, Di & Wang, Yiming & Zhao, Haitao & Si, Yulin & Zhang, Dahai & Qian, Peng, 2022. "Study on two-rotor interaction of counter-rotating horizontal axis tidal turbine," Energy, Elsevier, vol. 241(C).
    2. Kumar, P. Madhan & Seo, Jeonghwa & Seok, Woochan & Rhee, Shin Hyung & Samad, Abdus, 2019. "Multi-fidelity optimization of blade thickness parameters for a horizontal axis tidal stream turbine," Renewable Energy, Elsevier, vol. 135(C), pages 277-287.
    3. Clark, Caitlyn E. & DuPont, Bryony, 2018. "Reliability-based design optimization in offshore renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 390-400.
    4. Gao, Xueping & Tian, Ye & Sun, Bowen, 2018. "Multi-objective optimization design of bidirectional flow passage components using RSM and NSGA II: A case study of inlet/outlet diffusion segment in pumped storage power station," Renewable Energy, Elsevier, vol. 115(C), pages 999-1013.

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