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Experimental and numerical performances analysis of a small three blades wind turbine

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  • Ould Moussa, Mohamed

Abstract

The current paper investigates the evolution of the power coefficient of a horizontal axis 3-blades wind turbine with respect of the tip speed ratio. The latter combines the effects respectively of the wind speed and the turbine rotation speed. Indeed, out-door experimental measurements and computational fluid dynamics based models are carried out in order to predict the power coefficient in a wind speed range of [2,6]m.s−1. Generated electrical power is then deduced from the measured current and voltage accounting for losses through cables and inverters efficiency. Regarding the modeling work, the shear stress transport turbulence model is implemented in association with the Reynolds averaged Navier Stokes equations and their unsteady version through two different three dimensional computational fluid dynamics methods. According to both the experiment and numerical results, a maximum power coefficient of 0.24 is reached at a tip speed ratio of about 5.39. In addition, numerical results show that the turbulence intensity dramatically increases with respect of the tip speed ratio. Accordingly, the induced pressure discontinuities through the turbine rotor are more influenced by the rotation speed than the tip speed ratio. Moreover, emperical and numerical models of the evolution of the power coefficient with respect of the tip speed ratio are respectively confronted with the experimental results showing a good agreement with an estimated maximum error of about 5%.

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  • Ould Moussa, Mohamed, 2020. "Experimental and numerical performances analysis of a small three blades wind turbine," Energy, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:energy:v:203:y:2020:i:c:s0360544220309142
    DOI: 10.1016/j.energy.2020.117807
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    1. Sun, Chong & Tian, Tian & Zhu, Xiaocheng & Hua, Ouyang & Du, Zhaohui, 2021. "Investigation of the near wake of a horizontal-axis wind turbine model by dynamic mode decomposition," Energy, Elsevier, vol. 227(C).
    2. Paxis Marques João Roque & Shyama Pada Chowdhury & Zhongjie Huan, 2021. "Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study," Energies, MDPI, vol. 14(14), pages 1-22, July.
    3. Jeffrey E. Silva & Louis Angelo M. Danao, 2021. "Varying VAWT Cluster Configuration and the Effect on Individual Rotor and Overall Cluster Performance," Energies, MDPI, vol. 14(6), pages 1-22, March.

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