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A Novel Wind Energy Gathering Structure for the Savonius Wind Turbine and Its Parameter Optimization Based on Taguchi’s Method

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  • Tianjiao Zhang

    (School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
    Shandong Institute of Mechanical Design and Research, Jinan 250353, China)

  • Shuhui Xu

    (School of Mechanical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
    Shandong Institute of Mechanical Design and Research, Jinan 250353, China)

Abstract

An auxiliary structure can significantly improve the wind-trapping capacity of the Savonius wind turbine. In this study, a novel auxiliary structure called a wind energy gathering structure (WEGS) is proposed, and its five parameters, namely the lengths of the shrinkage and diffusion tubes, the length of the centerboard, the length of the throat, the length of the wind board, and the shrinkage and diffusion angles, are investigated using computational fluid dynamics (CFD) and Taguchi’s method. Meanwhile, Taguchi’s method and ANOVA reveal that among the studied parameters, the shrinkage and diffusion angles, the length of the centerboard, and the lengths of the shrinkage and diffusion tubes have a more significant influence on the performance of the WEGS. At a tip speed ratio ( TSR ) value of 1 and a wind speed of 7 m/s, the optimized combination of the WEGS parameters obtained by Taguchi’s method improves the mean torque coefficient of the turbine by 42.1%. Moreover, at other TSRs (0.6–1.2), the turbine with the WEGS also outperforms an open turbine in terms of aerodynamic (increases of 20.1–53%) and lifetime performance.

Suggested Citation

  • Tianjiao Zhang & Shuhui Xu, 2024. "A Novel Wind Energy Gathering Structure for the Savonius Wind Turbine and Its Parameter Optimization Based on Taguchi’s Method," Energies, MDPI, vol. 17(21), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5348-:d:1507903
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    References listed on IDEAS

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    1. Hashem, Islam & Zhu, Baoshan, 2021. "Metamodeling-based parametric optimization of a bio-inspired Savonius-type hydrokinetic turbine," Renewable Energy, Elsevier, vol. 180(C), pages 560-576.
    2. Chan, C.M. & Bai, H.L. & He, D.Q., 2018. "Blade shape optimization of the Savonius wind turbine using a genetic algorithm," Applied Energy, Elsevier, vol. 213(C), pages 148-157.
    3. Wenlong Tian & Baowei Song & James H. VanZwieten & Parakram Pyakurel, 2015. "Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes," Energies, MDPI, vol. 8(8), pages 1-15, July.
    4. Tahani, Mojtaba & Rabbani, Ali & Kasaeian, Alibakhsh & Mehrpooya, Mehdi & Mirhosseini, Mojtaba, 2017. "Design and numerical investigation of Savonius wind turbine with discharge flow directing capability," Energy, Elsevier, vol. 130(C), pages 327-338.
    5. Hesami, Ali & Nikseresht, Amir H., 2023. "Towards development and optimization of the Savonius wind turbine incorporated with a wind-lens," Energy, Elsevier, vol. 274(C).
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