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Performance analysis of wells turbine blades using the entropy generation minimization method

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  • Shehata, Ahmed S.
  • Saqr, Khalid M.
  • Xiao, Qing
  • Shehadeh, Mohamed F.
  • Day, Alexander

Abstract

Wells turbine concept depends on utilizing the oscillating air column generated over marine waves to drive a turbine. As a matter of fact, previous researches on the performance analysis of such turbine were based on the first law of thermodynamics only. Nonetheless, the actual useful energy loss cannot be completely justified by the first law because it does not distinguish between the quantity and the quality of energy. Therefore, the present work investigates the second law efficiency and entropy generation characteristics around different blades that are used in Wells turbine under oscillating flow conditions. The work is performed by using time-dependent CFD models of different NACA airfoils under sinusoidal flow boundary conditions. Numerical investigations are carried out for the incompressible viscous flow around the blades to obtain the entropy generation due to viscous dissipation. It is found that the value of second law efficiency of the NACA0015 airfoil blade is higher by approximately 1.5% than the second law efficiency of the NACA0012, NACA0020 and NACA0021 airfoils. Furthermore, it is found that the angle of attack radically affects the second law efficiency and such effect is quantified for NACA0015 for angle of attack ranging from −15° to 25°.

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  • 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.
  • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:1123-1133
    DOI: 10.1016/j.renene.2015.09.045
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    References listed on IDEAS

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    1. Ozgener, Onder & Ozgener, Leyla, 2007. "Exergy and reliability analysis of wind turbine systems: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(8), pages 1811-1826, October.
    2. Kaushik, S.C. & Reddy, V. Siva & Tyagi, S.K., 2011. "Energy and exergy analyses of thermal power plants: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1857-1872, May.
    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. Pope, K. & Dincer, I. & Naterer, G.F., 2010. "Energy and exergy efficiency comparison of horizontal and vertical axis wind turbines," Renewable Energy, Elsevier, vol. 35(9), pages 2102-2113.
    6. Rashidi, M.M. & Ali, M. & Freidoonimehr, N. & Nazari, F., 2013. "Parametric analysis and optimization of entropy generation in unsteady MHD flow over a stretching rotating disk using artificial neural network and particle swarm optimization algorithm," Energy, Elsevier, vol. 55(C), pages 497-510.
    7. Redha, Adel Mohammed & Dincer, Ibrahim & Gadalla, Mohamed, 2011. "Thermodynamic performance assessment of wind energy systems: An application," Energy, Elsevier, vol. 36(7), pages 4002-4010.
    8. Baskut, Omer & Ozgener, Onder & Ozgener, Leyla, 2010. "Effects of meteorological variables on exergetic efficiency of wind turbine power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3237-3241, December.
    9. Baskut, Omer & Ozgener, Onder & Ozgener, Leyla, 2011. "Second law analysis of wind turbine power plants: Cesme, Izmir example," Energy, Elsevier, vol. 36(5), pages 2535-2542.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
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