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Parameter Analysis of Savonius Hydraulic Turbine Considering the Effect of Reducing Flow Velocity

Author

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  • Jianjun Yao

    (College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China)

  • Fengshen Li

    (College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China)

  • Junhua Chen

    (College of Science and Technology, Ningbo University, Ningbo 315100, China)

  • Zheng Yuan

    (College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China)

  • Wangeng Mai

    (College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China)

Abstract

The Savonius-type hydraulic turbine, mainly known for its good self-starting properties and simple structure, not only has energy capturing characteristics but also has a certain effect on flow velocity reduction. Aside from ensuring energy capture efficiency, studying the effects of parameters on the flow velocity reduction capacity is of great significance for the protection of mariculture, as it can reduce the damage to cages and fishes. In this study, a computational fluid dynamics method was carried out to investigate the hydrodynamic characteristics and variations in the wake of a turbine. The accuracy of the simulation results was verified by experimental comparison. Firstly, the velocity contours and vectors were studied in detail to reveal the mechanism of the flow velocity reduction effect. Secondly, the velocity attenuation coefficient and relative attenuation length were formulated by the variation rule of the velocity field to evaluate the turbine reduction strength and range. Finally, the power coefficient was considered to predict the performance of a turbine under different tip speed ratios, overlap ratios, blade curvatures, and blade numbers. The results showed that the turbine had an obvious flow velocity reduction effect in the rear “sword”-shaped area, where the velocity field distribution had a certain regularity. In addition, by comprehensively comparing the simulation data, it was found that the respective effect trend of tip speed ratio, blade number, overlap ratio, and curvature on the turbine’s energy capture and flow velocity reduction characteristics was basically the same. Considering the effect of reducing flow velocity, a two-bladed turbine with a blade curvature of 0.8 and an overlap ratio of 0.15 is the optimal configuration.

Suggested Citation

  • Jianjun Yao & Fengshen Li & Junhua Chen & Zheng Yuan & Wangeng Mai, 2019. "Parameter Analysis of Savonius Hydraulic Turbine Considering the Effect of Reducing Flow Velocity," Energies, MDPI, vol. 13(1), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:13:y:2019:i:1:p:24-:d:299643
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    References listed on IDEAS

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    Cited by:

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    4. Kamal, Md. Mustafa & Saini, R.P., 2022. "A numerical investigation on the influence of savonius blade helicity on the performance characteristics of hybrid cross-flow hydrokinetic turbine," Renewable Energy, Elsevier, vol. 190(C), pages 788-804.
    5. Zhang, Baoshou & Li, Boyang & Li, Canpeng & Zhang, Yongbo & Lv, Jingze & Yu, Haidong, 2024. "Effects of submergence depth on the performance of the savonius hydrokinetic turbine near a free surface," Energy, Elsevier, vol. 289(C).
    6. Khani, Mohammad Sadegh & Shahsavani, Younes & Mehraein, Mojtaba & Soleimani Rad, Mohammad Hossein & Nikbakhsh, Amir Abbas, 2024. "Evaluation of the performance of the Savonius hydrokinetic turbines in the straight and curved channels using advanced machine learning methods," Energy, Elsevier, vol. 290(C).
    7. Scheaua Fanel Dorel & Goanta Adrian Mihai & Dragan Nicusor, 2021. "Review of Specific Performance Parameters of Vertical Wind Turbine Rotors Based on the SAVONIUS Type," Energies, MDPI, vol. 14(7), pages 1-23, April.
    8. Chuhua Jiang & Xuedao Shu & Junhua Chen & Lingjie Bao & Hao Li, 2020. "Research on Performance Evaluation of Tidal Energy Turbine under Variable Velocity," Energies, MDPI, vol. 13(23), pages 1-14, November.
    9. Kuo-Tsai Wu & Kuo-Hao Lo & Ruey-Chy Kao & Sheng-Jye Hwang, 2022. "Numerical and Experimental Investigation of the Effect of Design Parameters on Savonius-Type Hydrokinetic Turbine Performance," Energies, MDPI, vol. 15(5), pages 1-19, March.

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