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Innovative improvement of a drag wind turbine performance

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  • El-Baz, A.R.
  • Youssef, K.
  • Mohamed, M.H.

Abstract

Drag type wind turbines have strong potential in small and medium power applications due to their simple design. However, a major disadvantage of this design is the noticeable low conversion efficiency. Therefore, more research is required to improve the efficiency of this design. The present work introduces a novel design of a three-rotor Savonius turbine with rotors arranged in a triangular pattern. The performance of the new design is assessed by computational modeling of the flow around the three rotors. The 2D computational model is firstly applied to investigate the performance of a single rotor design to validate the model by comparison with experimental measurements. The model introduced an acceptable accuracy compared to the experimental measurements. The performance of the new design is then investigated using the same model. The results indicated that the new design performance has higher power coefficient compared with single rotor design. The peak power coefficient of the three rotor turbine is 44% higher than that of the single rotor design (relative increase). The improved performance is attributed to the favorable interaction between the rotors which accelerates the flow approaching the downstream rotors and generates higher turning moment in the direction of rotation of each rotor.

Suggested Citation

  • El-Baz, A.R. & Youssef, K. & Mohamed, M.H., 2016. "Innovative improvement of a drag wind turbine performance," Renewable Energy, Elsevier, vol. 86(C), pages 89-98.
    • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:89-98
    DOI: 10.1016/j.renene.2015.07.102
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    References listed on IDEAS

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    1. Mohamed, M.H. & Janiga, G. & Pap, E. & Thévenin, D., 2010. "Optimization of Savonius turbines using an obstacle shielding the returning blade," Renewable Energy, Elsevier, vol. 35(11), pages 2618-2626.
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    1. Mereu, R. & Federici, D. & Ferrari, G. & Schito, P. & Inzoli, F., 2017. "Parametric numerical study of Savonius wind turbine interaction in a linear array," Renewable Energy, Elsevier, vol. 113(C), pages 1320-1332.
    2. Mohammadi, M. & Lakestani, M. & Mohamed, M.H., 2018. "Intelligent parameter optimization of Savonius rotor using Artificial Neural Network and Genetic Algorithm," Energy, Elsevier, vol. 143(C), pages 56-68.
    3. Chen, Yunrui & Guo, Penghua & Zhang, Dayu & Chai, Kaixin & Zhao, Chenxi & Li, Jingyin, 2022. "Power improvement of a cluster of three Savonius wind turbines using the variable-speed control method," Renewable Energy, Elsevier, vol. 193(C), pages 832-842.
    4. Can Kang & Wisdom Opare & Chen Pan & Ziwen Zou, 2018. "Upstream Flow Control for the Savonius Rotor under Various Operation Conditions," Energies, MDPI, vol. 11(6), pages 1-20, June.
    5. Patel, Vimal & Eldho, T.I. & Prabhu, S.V., 2019. "Velocity and performance correction methodology for hydrokinetic turbines experimented with different geometry of the channel," Renewable Energy, Elsevier, vol. 131(C), pages 1300-1317.

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