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Optimization of Savonius wind turbine with additional blades by surrogate model using artificial neural networks

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  • Haddad, Hassan Z.
  • Mohamed, Mohamed H.
  • Shabana, Yasser M.
  • Elsayed, Khairy

Abstract

The aim of the current investigation is to obtain the optimum configuration of Savonius wind turbine which results in maximum power coefficient (Cp). In order to achieve that Surrogate-based optimization (SBO) was used for obtaining the optimum values of investigated parameters. Design of experiment (DoE) was applied on four variables which are: the arc angle of original blade (ψ), the shape factor of original blade (p/q), the arc angle of additional blades (β), and the additional blade radii ratio (Rr). Computational fluid dynamics (CFD) simulations using ANSYS FLUENT were conducted to feed the artificial neural networks (ANN) with the sufficient data for training for the traditional and optimized rotors. The considered original blade arc angle (ψ) and the additional blades angle (β) varied from 70° to 180°, the original blade shape factor (p/q) ranges from 0.00 to 0.70, and the additional blade radii ratio (Rr) changes from 0.20 to 1.25 of that of the original blade. The optimized rotor showed a maximum Cp of 0.2836 results in 44.5% increase in Cp over 0.1962 of conventional one for the tip speed ratio (TSR) of 0.75. The maximum increase is 66.12% at TSR = 1.3.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:270:y:2023:i:c:s0360544223003468
    DOI: 10.1016/j.energy.2023.126952
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    References listed on IDEAS

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    1. 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.
    2. Deda Altan, Burcin & Altan, Gurkan & Kovan, Volkan, 2016. "Investigation of 3D printed Savonius rotor performance," Renewable Energy, Elsevier, vol. 99(C), pages 584-591.
    3. Antar, E. & Elkhoury, M., 2019. "Parametric sizing optimization process of a casing for a Savonius Vertical Axis Wind Turbine," Renewable Energy, Elsevier, vol. 136(C), pages 127-138.
    4. Kamoji, M.A. & Kedare, S.B. & Prabhu, S.V., 2009. "Experimental investigations on single stage modified Savonius rotor," Applied Energy, Elsevier, vol. 86(7-8), pages 1064-1073, July.
    5. 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.
    6. Jeon, Keum Soo & Jeong, Jun Ik & Pan, Jae-Kyung & Ryu, Ki-Wahn, 2015. "Effects of end plates with various shapes and sizes on helical Savonius wind turbines," Renewable Energy, Elsevier, vol. 79(C), pages 167-176.
    7. Prashant Singh & Ivo Couckuyt & Khairy Elsayed & Dirk Deschrijver & Tom Dhaene, 2017. "Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models," Journal of Optimization Theory and Applications, Springer, vol. 175(1), pages 172-193, October.
    8. Alom, Nur & Saha, Ujjwal K., 2018. "Performance evaluation of vent-augmented elliptical-bladed savonius rotors by numerical simulation and wind tunnel experiments," Energy, Elsevier, vol. 152(C), pages 277-290.
    9. Menet, J.-L., 2004. "A double-step Savonius rotor for local production of electricity: a design study," Renewable Energy, Elsevier, vol. 29(11), pages 1843-1862.
    10. Mesloub, Abdelhakim & Ghosh, Aritra & Touahmia, Mabrouk & Albaqawy, Ghazy Abdullah & Alsolami, Badr M. & Ahriz, Atef, 2022. "Assessment of the overall energy performance of an SPD smart window in a hot desert climate," Energy, Elsevier, vol. 252(C).
    11. Kerikous, Emeel & Thévenin, Dominique, 2019. "Optimal shape of thick blades for a hydraulic Savonius turbine," Renewable Energy, Elsevier, vol. 134(C), pages 629-638.
    12. Frikha, Sobhi & Driss, Zied & Ayadi, Emna & Masmoudi, Zied & Abid, Mohamed Salah, 2016. "Numerical and experimental characterization of multi-stage Savonius rotors," Energy, Elsevier, vol. 114(C), pages 382-404.
    13. Ramadan, A. & Yousef, K. & Said, M. & Mohamed, M.H., 2018. "Shape optimization and experimental validation of a drag vertical axis wind turbine," Energy, Elsevier, vol. 151(C), pages 839-853.
    14. Twaha, Ssennoga & Idris, Mohd Hafizi & Anwari, Makbul & Khairuddin, Azhar, 2012. "Applying grid-connected photovoltaic system as alternative source of electricity to supplement hydro power instead of using diesel in Uganda," Energy, Elsevier, vol. 37(1), pages 185-194.
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