IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v81y2015icp837-844.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115002888
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.04.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Wen-Quan & Yin, Rui & Yan, Yan, 2019. "Design and prediction hydrodynamic performance of horizontal axis micro-hydrokinetic river turbine," Renewable Energy, Elsevier, vol. 133(C), pages 91-102.
    2. Li, Binghui & de Queiroz, Anderson Rodrigo & DeCarolis, Joseph F. & Bane, John & He, Ruoying & Keeler, Andrew G. & Neary, Vincent S., 2017. "The economics of electricity generation from Gulf Stream currents," Energy, Elsevier, vol. 134(C), pages 649-658.
    3. Luznik, Luksa & Flack, Karen A. & Lust, Ethan E. & Taylor, Katharin, 2013. "The effect of surface waves on the performance characteristics of a model tidal turbine," Renewable Energy, Elsevier, vol. 58(C), pages 108-114.
    4. Kai-Wern Ng & Wei-Haur Lam & Khai-Ching Ng, 2013. "2002–2012: 10 Years of Research Progress in Horizontal-Axis Marine Current Turbines," Energies, MDPI, vol. 6(3), pages 1-30, March.
    5. Nachtane, M. & Tarfaoui, M. & Goda, I. & Rouway, M., 2020. "A review on the technologies, design considerations and numerical models of tidal current turbines," Renewable Energy, Elsevier, vol. 157(C), pages 1274-1288.
    6. Ilias Gavriilidis & Yuner Huang, 2021. "Finite Element Analysis of Tidal Turbine Blade Subjected to Impact Loads from Sea Animals," Energies, MDPI, vol. 14(21), pages 1-20, November.
    7. Abutunis, Abdulaziz & Hussein, Rafid & Chandrashekhara, K., 2019. "A neural network approach to enhance blade element momentum theory performance for horizontal axis hydrokinetic turbine application," Renewable Energy, Elsevier, vol. 136(C), pages 1281-1293.
    8. Wang, Shu-qi & Sun, Ke & Xu, Gang & Liu, Yong-tao & Bai, Xu, 2017. "Hydrodynamic analysis of horizontal-axis tidal current turbine with rolling and surging coupled motions," Renewable Energy, Elsevier, vol. 102(PA), pages 87-97.
    9. Walker, Jessica M. & Flack, Karen A. & Lust, Ethan E. & Schultz, Michael P. & Luznik, Luksa, 2014. "Experimental and numerical studies of blade roughness and fouling on marine current turbine performance," Renewable Energy, Elsevier, vol. 66(C), pages 257-267.
    10. Rourke, Fergal O. & Boyle, Fergal & Reynolds, Anthony, 2010. "Marine current energy devices: Current status and possible future applications in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1026-1036, April.
    11. Goundar, Jai N. & Ahmed, M. Rafiuddin, 2014. "Marine current energy resource assessment and design of a marine current turbine for Fiji," Renewable Energy, Elsevier, vol. 65(C), pages 14-22.
    12. Modali, Pranav K. & Vinod, Ashwin & Banerjee, Arindam, 2021. "Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays," Renewable Energy, Elsevier, vol. 177(C), pages 482-494.
    13. Uşar, D. & Bal, Ş., 2015. "Cavitation simulation on horizontal axis marine current turbines," Renewable Energy, Elsevier, vol. 80(C), pages 15-25.
    14. O'Rourke, Fergal & Boyle, Fergal & Reynolds, Anthony & Kennedy, David M., 2015. "Hydrodynamic performance prediction of a tidal current turbine operating in non-uniform inflow conditions," Energy, Elsevier, vol. 93(P2), pages 2483-2496.
    15. Li, Wei & Zhou, Hongbin & Liu, Hongwei & Lin, Yonggang & Xu, Quankun, 2016. "Review on the blade design technologies of tidal current turbine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 414-422.
    16. Zhang, Liang & Wang, Shu-qi & Sheng, Qi-hu & Jing, Feng-mei & Ma, Yong, 2015. "The effects of surge motion of the floating platform on hydrodynamics performance of horizontal-axis tidal current turbine," Renewable Energy, Elsevier, vol. 74(C), pages 796-802.
    17. Pinon, Grégory & Mycek, Paul & Germain, Grégory & Rivoalen, Elie, 2012. "Numerical simulation of the wake of marine current turbines with a particle method," Renewable Energy, Elsevier, vol. 46(C), pages 111-126.
    18. Liu, Hong-wei & Ma, Shun & Li, Wei & Gu, Hai-gang & Lin, Yong-gang & Sun, Xiao-jing, 2011. "A review on the development of tidal current energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1141-1146, February.
    19. Val, Dimitri V. & Chernin, Leon & Yurchenko, Daniil V., 2014. "Reliability analysis of rotor blades of tidal stream turbines," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 26-33.
    20. Goundar, Jai N. & Ahmed, M. Rafiuddin & Lee, Young-Ho, 2012. "Numerical and experimental studies on hydrofoils for marine current turbines," Renewable Energy, Elsevier, vol. 42(C), pages 173-179.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:81:y:2015:i:c:p:837-844. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.