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The performance of Wells turbine under bi-directional airflow

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  • Thakker, A.
  • Abdulhadi, R.

Abstract

This paper presents the performance of a Wells turbine operating under unsteady bi-directional airflow conditions. In this study, four kinds of blade profile were selected, NACA0020, NACA0015, CA9 and HSIM 15-262123-1576. The experiments have been carried out for two solidities under sinusoidal and irregular unsteady flow conditions based on Irish waves (Site2). It was found that for a Wells turbine operating under bi-directional air flow, the rotor geometry preferred is the blade profile of CA9 with rotor solidity σ=0.64. In addition, the efficiency curve of the Wells turbine under unidirectional flow conditions fails to present the rapid rise in the instantaneous efficiency which occurs at low flow coefficient of bi-directional flow condition. A comparative analysis between the numerical simulation results and experimental results was carried out. As a result, an excellent agreement was found between the numerical and experimental results. In addition, the effect of blade profile and rotor solidity on hysteretic characteristics of the turbine has been clarified experimentally under bi-directional airflow.

Suggested Citation

  • Thakker, A. & Abdulhadi, R., 2008. "The performance of Wells turbine under bi-directional airflow," Renewable Energy, Elsevier, vol. 33(11), pages 2467-2474.
  • Handle: RePEc:eee:renene:v:33:y:2008:i:11:p:2467-2474
    DOI: 10.1016/j.renene.2008.02.013
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    References listed on IDEAS

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    1. Setoguchi, T. & Kinoue, Y. & Kim, T.H. & Kaneko, K. & Inoue, M., 2003. "Hysteretic characteristics of Wells turbine for wave power conversion," Renewable Energy, Elsevier, vol. 28(13), pages 2113-2127.
    2. Thakker, A. & Dhanasekaran, T.S. & Ryan, J., 2005. "Experimental studies on effect of guide vane shape on performance of impulse turbine for wave energy conversion," Renewable Energy, Elsevier, vol. 30(15), pages 2203-2219.
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    Cited by:

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    2. Dizadji, Nader & Sajadian, Seyed Ehsan, 2011. "Modeling and optimization of the chamber of OWC system," Energy, Elsevier, vol. 36(5), pages 2360-2366.
    3. Paderi, Maurizio & Puddu, Pierpaolo, 2013. "Experimental investigation in a Wells turbine under bi-directional flow," Renewable Energy, Elsevier, vol. 57(C), pages 570-576.
    4. Shehata, Ahmed S. & Xiao, Qing & El-Shaib, Mohamed & Sharara, Ashraf & Alexander, Day, 2017. "Comparative analysis of different wave turbine designs based on conditions relevant to northern coast of Egypt," Energy, Elsevier, vol. 120(C), pages 450-467.
    5. Licheri, Fabio & Ghisu, Tiziano & Cambuli, Francesco & Puddu, Pierpaolo, 2022. "Detailed investigation of the local flow-field in a Wells turbine coupled to an OWC simulator," Renewable Energy, Elsevier, vol. 197(C), pages 583-593.
    6. Mohamed, M.H. & Shaaban, S., 2013. "Optimization of blade pitch angle of an axial turbine used for wave energy conversion," Energy, Elsevier, vol. 56(C), pages 229-239.
    7. Mauro, S. & Brusca, S. & Lanzafame, R. & Messina, M., 2019. "CFD modeling of a ducted Savonius wind turbine for the evaluation of the blockage effects on rotor performance," Renewable Energy, Elsevier, vol. 141(C), pages 28-39.
    8. Das, Tapas K. & Kumar, Kumud & Samad, Abdus, 2020. "Experimental Analysis of a Biplane Wells Turbine under Different Load Conditions," Energy, Elsevier, vol. 206(C).
    9. Moisel, Christoph & Carolus, Thomas H., 2016. "A facility for testing the aerodynamic and acoustic performance of bidirectional air turbines for ocean wave energy conversion," Renewable Energy, Elsevier, vol. 86(C), pages 1340-1352.
    10. Halder, Paresh & Samad, Abdus & Thévenin, Dominique, 2017. "Improved design of a Wells turbine for higher operating range," Renewable Energy, Elsevier, vol. 106(C), pages 122-134.
    11. Alberdi, Mikel & Amundarain, Modesto & Garrido, Aitor & Garrido, Izaskun, 2012. "Neural control for voltage dips ride-through of oscillating water column-based wave energy converter equipped with doubly-fed induction generator," Renewable Energy, Elsevier, vol. 48(C), pages 16-26.
    12. Correia da Fonseca, F.X. & Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O., 2019. "Oscillating flow rig for air turbine testing," Renewable Energy, Elsevier, vol. 142(C), pages 373-382.
    13. Shehata, Ahmed S. & Saqr, Khalid M. & Xiao, Qing & Shehadeh, Mohamed F. & Day, Alexander, 2016. "Performance analysis of wells turbine blades using the entropy generation minimization method," Renewable Energy, Elsevier, vol. 86(C), pages 1123-1133.
    14. Amundarain, Modesto & Alberdi, Mikel & Garrido, Aitor J. & Garrido, Izaskun & Maseda, Javier, 2010. "Wave energy plants: Control strategies for avoiding the stalling behaviour in the Wells turbine," Renewable Energy, Elsevier, vol. 35(12), pages 2639-2648.

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