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Computational analysis of performance and flow investigation on wells turbine for wave energy conversion

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  • Dhanasekaran, T.S.
  • Govardhan, M.

Abstract

Wells turbine is a self-rectifying airflow turbine capable of converting pneumatic power of the periodically reversing air stream in oscillating water column into mechanical energy. This paper reports the computational analysis on performance and aerodynamics of Wells turbine with the NACA 0021 constant chord blades. Studies have been made at various flow coefficients covering the entire range of flow coefficients over which the turbine is operable. The present computational model can predict the performance and aerodynamics of the turbine quantitatively and qualitatively. The model also predicted the flow coefficient at which the turbine stalls, with reasonable accuracy.

Suggested Citation

  • Dhanasekaran, T.S. & Govardhan, M., 2005. "Computational analysis of performance and flow investigation on wells turbine for wave energy conversion," Renewable Energy, Elsevier, vol. 30(14), pages 2129-2147.
    • Handle: RePEc:eee:renene:v:30:y:2005:i:14:p:2129-2147
    DOI: 10.1016/j.renene.2005.02.005
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    References listed on IDEAS

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    1. Kim, T.H. & Setoguchi, T. & Kaneko, K. & Raghunathan, S., 2002. "Numerical investigation on the effect of blade sweep on the performance of Wells turbine," Renewable Energy, Elsevier, vol. 25(2), pages 235-248.
    2. 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.
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    Cited by:

    1. Torresi, M. & Camporeale, S.M. & Strippoli, P.D. & Pascazio, G., 2008. "Accurate numerical simulation of a high solidity Wells turbine," Renewable Energy, Elsevier, vol. 33(4), pages 735-747.
    2. 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.
    3. Shehata, Ahmed S. & Xiao, Qing & Selim, Mohamed M. & Elbatran, A.H. & Alexander, Day, 2017. "Enhancement of performance of wave turbine during stall using passive flow control: First and second law analysis," Renewable Energy, Elsevier, vol. 113(C), pages 369-392.
    4. 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.
    5. 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.
    6. Geng, Kaihe & Yang, Ce & Hu, Chenxing & Li, Yanzhao & Yang, Changmao, 2022. "Numerical investigation on the loss audit of Wells turbine with exergy analysis," Renewable Energy, Elsevier, vol. 189(C), pages 273-287.
    7. Mahboubidoust, A. & Ramiar, A., 2017. "Investigation of DBD plasma actuator effect on the aerodynamic and thermodynamic performance of high solidity Wells turbine," Renewable Energy, Elsevier, vol. 112(C), pages 347-364.
    8. 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.
    9. 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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