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Experimental Analysis of a Biplane Wells Turbine under Different Load Conditions

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  • Das, Tapas K.
  • Kumar, Kumud
  • Samad, Abdus

Abstract

The oscillating water column type wave energy converters equipped with Wells turbine are one of the popular wave energy conversion devices. In most of the numerical and experimental studies, the Wells turbine characteristics are examined in no-load condition or with a fixed loading to achieve a fixed rotational speed. In the present work, a biplane Wells turbine is designed and tested in an experimental test facility. The test facility consists of a piston-chamber assembly that can generate sinusoidal airflow inside a duct. The turbine is placed inside the duct and tested for different stroke lengths and time periods of the piston, which produces a sinusoidal inlet airflow of different amplitude and time period. The turbine characteristics are studied at the no-load condition and for different values of resistive loading connected with the generator. The hysteresis behavior of the turbine is studied for two different flow coefficients based on experimentally observed and numerically calculated volume flow rates. Based on the experimental results, a detailed analysis of the turbine performance is presented for different operating conditions.

Suggested Citation

  • Das, Tapas K. & Kumar, Kumud & Samad, Abdus, 2020. "Experimental Analysis of a Biplane Wells Turbine under Different Load Conditions," Energy, Elsevier, vol. 206(C).
    • Handle: RePEc:eee:energy:v:206:y:2020:i:c:s0360544220313128
    DOI: 10.1016/j.energy.2020.118205
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    References listed on IDEAS

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    1. Sannasiraj, S.A. & Sundar, V., 2016. "Assessment of wave energy potential and its harvesting approach along the Indian coast," Renewable Energy, Elsevier, vol. 99(C), pages 398-409.
    2. Govardhan, M. & Dhanasekaran, T.S., 2002. "Effect of guide vanes on the performance of a self-rectifying air turbine with constant and variable chord rotors," Renewable Energy, Elsevier, vol. 26(2), pages 201-219.
    3. Setoguchi, T & Santhakumar, S & Takao, M & Kim, T.H & Kaneko, K, 2001. "Effect of guide vane shape on the performance of a Wells turbine," Renewable Energy, Elsevier, vol. 23(1), pages 1-15.
    4. Thakker, A. & Abdulhadi, R., 2008. "The performance of Wells turbine under bi-directional airflow," Renewable Energy, Elsevier, vol. 33(11), pages 2467-2474.
    5. Suchithra, R. & Ezhilsabareesh, K. & Samad, Abdus, 2019. "Optimization based higher order sliding mode controller for efficiency improvement of a wave energy converter," Energy, Elsevier, vol. 187(C).
    6. Clément, Alain & McCullen, Pat & Falcão, António & Fiorentino, Antonio & Gardner, Fred & Hammarlund, Karin & Lemonis, George & Lewis, Tony & Nielsen, Kim & Petroncini, Simona & Pontes, M. -Teresa & Sc, 2002. "Wave energy in Europe: current status and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(5), pages 405-431, October.
    7. Paderi, Maurizio & Puddu, Pierpaolo, 2013. "Experimental investigation in a Wells turbine under bi-directional flow," Renewable Energy, Elsevier, vol. 57(C), pages 570-576.
    8. 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.
    9. Mohamed, M.H. & Janiga, G. & Pap, E. & Thévenin, D., 2011. "Multi-objective optimization of the airfoil shape of Wells turbine used for wave energy conversion," Energy, Elsevier, vol. 36(1), pages 438-446.
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    Cited by:

    1. 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.
    2. Liu, Chunyuan & Dong, Rui & Ye, Bao-lin, 2022. "Comprehensive sensitivity analysis and multi-objective optimization on a permanent magnet linear generator for wave energy conversion," Renewable Energy, Elsevier, vol. 198(C), pages 841-850.
    3. Licheri, Fabio & Ghisu, Tiziano & Cambuli, Francesco & Puddu, Pierpaolo, 2024. "Experimental reconstruction of the local flow field in a Wells turbine using a three-dimensional pressure probe," Energy, Elsevier, vol. 296(C).
    4. 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.
    5. Morais, F.J.F. & Carrelhas, A.A.D. & Gato, L.M.C., 2023. "Biplane-rotor Wells turbine: The influence of solidity, presence of guide vanes and comparison with other configurations," Energy, Elsevier, vol. 276(C).
    6. Alves, João S. & Gato, Luís M.C. & Falcão, António F.O. & Henriques, João C.C., 2021. "Experimental investigation on performance improvement by mid-plane guide-vanes in a biplane-rotor Wells turbine for wave energy conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    7. Wang, Ru & Cui, Ying & Liu, Zhen & Li, Boyang & Zhang, Yongbo, 2024. "Numerical study on unsteady performance of a Wells turbine under irregular wave conditions," Renewable Energy, Elsevier, vol. 225(C).

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