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Optimal shape of thick blades for a hydraulic Savonius turbine

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  • Kerikous, Emeel
  • Thévenin, Dominique

Abstract

Ever-growing energy demands and unacceptable emissions from fossil fuel combustion are major driving forces for expanding alternative, green energy sources. Hydro-power is one promising ecological alternative to meet these energy requirements. Such systems do not require any weir or dam and, thus, can be employed with minimum ecological impact. However, available designs are not yet suitable as efficient water energy converters, in particular for conditions corresponding to low water speeds (as mostly found in practice), due to low power output. Savonius turbines are particularly robust and cost-efficient, but show a poor efficiency. This article aims at maximizing the output power of a hydraulic Savonius turbine by modifying the blade profile. The main difference in this work compared to previous studies is that the blade shape of the concave and convex sides evolve independently from each other (no constant blade thickness). Twelve geometrical parameters are involved during shape optimization. To obtain optimal conditions, many transient computational fluid dynamics (CFD) simulations are performed using the industrial flow simulation code Star-CCM+, driven by the in-house optimization library OPAL++ relying on evolutionary algorithms. The optimization process takes into account the output power coefficient (Cp) as a target function. Compared to the traditional Savonius turbine, a relative increase of Cp by almost 12% is obtained at a tip speed ratio of 1.1. The performance of the optimal geometry was compared to the standard design over the whole range of operation. This comparison revealed additionally that the performance was improved by almost 15% at a tip speed ratio of 1.2. The performance of the optimal design is superior for the whole range of operation, particularly at a tip speed ratio exceeding 0.8. Finally, it was checked that the optimal design is still self-starting.

Suggested Citation

  • Kerikous, Emeel & Thévenin, Dominique, 2019. "Optimal shape of thick blades for a hydraulic Savonius turbine," Renewable Energy, Elsevier, vol. 134(C), pages 629-638.
  • Handle: RePEc:eee:renene:v:134:y:2019:i:c:p:629-638
    DOI: 10.1016/j.renene.2018.11.037
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    References listed on IDEAS

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    1. Kerikous, Emeel & Thévenin, Dominique, 2019. "Optimal shape and position of a thick deflector plate in front of a hydraulic Savonius turbine," Energy, Elsevier, vol. 189(C).
    2. Gao, Jinjin & Liu, Han & Lee, Jiyong & Zheng, Yuan & Guala, Michele & Shen, Lian, 2022. "Large-eddy simulation and Co-Design strategy for a drag-type vertical axis hydrokinetic turbine in open channel flows," Renewable Energy, Elsevier, vol. 181(C), pages 1305-1316.
    3. Salleh, Mohd Badrul & Kamaruddin, Noorfazreena M. & Mohamed-Kassim, Zulfaa, 2022. "Experimental investigation on the effects of deflector angles on the power performance of a Savonius turbine for hydrokinetic applications in small rivers," Energy, Elsevier, vol. 247(C).
    4. Cleynen, Olivier & Engel, Sebastian & Hoerner, Stefan & Thévenin, Dominique, 2021. "Optimal design for the free-stream water wheel: A two-dimensional study," Energy, Elsevier, vol. 214(C).
    5. Xu, Wen & Li, Cheng-cheng & Huang, Sheng-xian & Wang, Ying, 2022. "Aerodynamic performance improvement analysis of Savonius Vertical Axis Wind Turbine utilizing plasma excitation flow control," Energy, Elsevier, vol. 239(PD).
    6. C M, Shashikumar & Madav, Vasudeva, 2021. "Numerical and experimental investigation of modified V-shaped turbine blades for hydrokinetic energy generation," Renewable Energy, Elsevier, vol. 177(C), pages 1170-1197.
    7. Abdelaziz, Khaled R. & Nawar, Mohamed A.A. & Ramadan, Ahmed & Attai, Youssef A. & Mohamed, Mohamed H., 2022. "Performance improvement of a Savonius turbine by using auxiliary blades," Energy, Elsevier, vol. 244(PA).
    8. Maria Cristina Morani & Mariana Simão & Ignac Gazur & Rui S. Santos & Armando Carravetta & Oreste Fecarotta & Helena M. Ramos, 2022. "Pressure Drop and Energy Recovery with a New Centrifugal Micro-Turbine: Fundamentals and Application in a Real WDN," Energies, MDPI, vol. 15(4), pages 1-25, February.
    9. 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.
    10. Haddad, Hassan Z. & Mohamed, Mohamed H. & Shabana, Yasser M. & Elsayed, Khairy, 2023. "Optimization of Savonius wind turbine with additional blades by surrogate model using artificial neural networks," Energy, Elsevier, vol. 270(C).
    11. 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).
    12. Krzysztof Sobczak & Damian Obidowski & Piotr Reorowicz & Emil Marchewka, 2020. "Numerical Investigations of the Savonius Turbine with Deformable Blades," Energies, MDPI, vol. 13(14), pages 1-20, July.
    13. Abdelaziz, Khaled R. & Nawar, Mohamed A.A. & Ramadan, Ahmed & Attai, Youssef A. & Mohamed, Mohamed H., 2023. "Performance assessment of a modified of Savonius rotor: Impact of sine and conical blade profiles," Energy, Elsevier, vol. 272(C).
    14. 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.
    15. Zhaoyong Mao & Guangyong Yang & Tianqi Zhang & Wenlong Tian, 2020. "Aerodynamic Performance Analysis of a Building-Integrated Savonius Turbine," Energies, MDPI, vol. 13(10), pages 1-21, May.

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