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Experimental and Simulation Investigation of Performance of Scaled Model for a Rotor of a Savonius Wind Turbine

Author

Listed:
  • Kumail Abdulkareem Hadi Al-Gburi

    (Department of Mechanical Engineering, Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia)

  • Balasem Abdulameer Jabbar Al-quraishi

    (Engineering Technical College of Najaf, Al-Furat Al-Awsat Technical University, Najaf 31001, Iraq)

  • Firas Basim Ismail Alnaimi

    (Power Generation Unit, Institute of Power Engineering (IPE), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia)

  • Ee Sann Tan

    (Department of Mechanical Engineering, Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia)

  • Ali Hussein Shamman Al-Safi

    (Computer Techniques Engineering Department, Al-Mustaqbal University College, Hillah 51001, Iraq)

Abstract

Renewable energy sources are preferred for many power generation applications. Energy from the wind is one of the fastest-expanding kinds of sustainable energy, and it is essential in preventing potential energy issues in the foreseeable future. One pertinent issue is the many geometrical alterations that the scientific community has suggested to enhance rotor performance features. Hence, to address the challenge of developing a model that resolves these problems, the purpose of this investigation was to determine how well a scaled-down version of a Savonius turbine performed in terms of power output using a wind tunnel. Subsequently, the effect of the blockage ratio produced in the wind tunnel during the chamber test on the scaled model was evaluated. This study discusses the influences of various modified configurations on the turbine blades’ torque and power coefficients ( Cp ) at various tip speed ratios ( TSRs ) using three-dimensional (3D) unsteady computational fluid dynamics. The findings showed that the scaled model successfully achieved tunnel blockage corrections, and the experimental results obtained can be used in order to estimate how the same turbine would perform in real conditions. Furthermore, numerically, the new models achieved improvements in Cp of 19.5%, 16.8%, and 12.2%, respectively, for the flow-guiding channel (FGC at Ⴔ = 30°), wavy area at tip and end (WTE), and wavy area on the convex blade (WCB) models in comparison to the benchmark S-ORM model and under identical wind speed conditions. This investigation can provide guidance for improvements of the aerodynamic characteristics of Savonius wind turbines.

Suggested Citation

  • Kumail Abdulkareem Hadi Al-Gburi & Balasem Abdulameer Jabbar Al-quraishi & Firas Basim Ismail Alnaimi & Ee Sann Tan & Ali Hussein Shamman Al-Safi, 2022. "Experimental and Simulation Investigation of Performance of Scaled Model for a Rotor of a Savonius Wind Turbine," Energies, MDPI, vol. 15(23), pages 1-23, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8808-:d:980675
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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. Grönman, Aki & Backman, Jari & Hansen-Haug, Markus & Laaksonen, Mikko & Alkki, Markku & Aura, Pekka, 2018. "Experimental and numerical analysis of vaned wind turbine performance and flow phenomena," Energy, Elsevier, vol. 159(C), pages 827-841.
    3. Mohammadi, M. & Mohammadi, R. & Ramadan, A. & Mohamed, M.H., 2018. "Numerical investigation of performance refinement of a drag wind rotor using flow augmentation and momentum exchange optimization," Energy, Elsevier, vol. 158(C), pages 592-606.
    4. Tai-Lin Chang & Shun-Feng Tsai & Chun-Lung Chen, 2021. "Optimal Design of Novel Blade Profile for Savonius Wind Turbines," Energies, MDPI, vol. 14(12), pages 1-14, June.
    5. Grönman, Aki & Tiainen, Jonna & Jaatinen-Värri, Ahti, 2019. "Experimental and analytical analysis of vaned savonius turbine performance under different operating conditions," Applied Energy, Elsevier, vol. 250(C), pages 864-872.
    6. 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.
    7. Zhang, Baoshou & Song, Baowei & Mao, Zhaoyong & Tian, Wenlong, 2017. "A novel wake energy reuse method to optimize the layout for Savonius-type vertical axis wind turbines," Energy, Elsevier, vol. 121(C), pages 341-355.
    8. Lee, Jae-Hoon & Lee, Young-Tae & Lim, Hee-Chang, 2016. "Effect of twist angle on the performance of Savonius wind turbine," Renewable Energy, Elsevier, vol. 89(C), pages 231-244.
    9. 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.
    10. Krzysztof Doerffer & Janusz Telega & Piotr Doerffer & Paulina Hercel & Andrzej Tomporowski, 2021. "Dependence of Power Characteristics on Savonius Rotor Segmentation," Energies, MDPI, vol. 14(10), pages 1-18, May.
    11. Baoshou Zhang & Baowei Song & Zhaoyong Mao & Wenlong Tian & Boyang Li & Bo Li, 2017. "A Novel Parametric Modeling Method and Optimal Design for Savonius Wind Turbines," Energies, MDPI, vol. 10(3), pages 1-20, March.
    12. Bhayo, Bilawal A. & Al-Kayiem, Hussain H., 2017. "Experimental characterization and comparison of performance parameters of S-rotors for standalone wind power system," Energy, Elsevier, vol. 138(C), pages 752-763.
    13. 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.
    14. D’Alessandro, V. & Montelpare, S. & Ricci, R. & Secchiaroli, A., 2010. "Unsteady Aerodynamics of a Savonius wind rotor: a new computational approach for the simulation of energy performance," Energy, Elsevier, vol. 35(8), pages 3349-3363.
    15. Manganhar, Abdul Latif & Rajpar, Altaf Hussain & Luhur, Muhammad Ramzan & Samo, Saleem Raza & Manganhar, Mehtab, 2019. "Performance analysis of a savonius vertical axis wind turbine integrated with wind accelerating and guiding rotor house," Renewable Energy, Elsevier, vol. 136(C), pages 512-520.
    16. 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.
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    1. Kumail Abdulkareem Hadi Al-Gburi & Firas Basim Ismail Alnaimi & Balasem Abdulameer Jabbar Al-quraishi & Ee Sann Tan & Ali Kamil Kareem, 2023. "Enhancing Savonius Vertical Axis Wind Turbine Performance: A Comprehensive Approach with Numerical Analysis and Experimental Investigations," Energies, MDPI, vol. 16(10), pages 1-23, May.

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