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On the Performance of a Modified Triple Stack Blade Savonius Wind Turbine as a Function of Geometrical Parameters

Author

Listed:
  • Reza Norouztabar

    (Department of Mechanical Engineering, Mazandaran University of Science and Technology, Babol 47166-85635, Iran)

  • Seyed Soheil Mousavi Ajarostaghi

    (Mechanical Engineering Department, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada)

  • Seyed Sina Mousavi

    (Department of Civil Engineering, Babol Noshirvani University of Technology, Babol 47148-71167, Iran)

  • Payam Nejat

    (Advanced Building and Environment Research (ABER), 99420 Weimar, Germany
    Department of Building Physics, Bauhaus-University Weimar, 99420 Weimar, Germany)

  • Seyed Saeid Rahimian Koloor

    (Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, 461 17 Liberec, Czech Republic)

  • Mohamed Eldessouki

    (Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, 461 17 Liberec, Czech Republic
    Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic, Membranes and Textiles, CH-9014 St. Gallen, Switzerland
    Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt)

Abstract

The Savonius wind turbine is one of the most well-known vertical axis wind turbines with insensitivity to wind direction, flow turbulence, and high torque generation. These turbines can extract up to 20% of the energy from the wind. This study numerically analyzes the performance of a modified Savonius wind turbine equipped with secondary blades and slots. The k-ε standard method is used to simulate the turbulence flow around the turbine, and the simulation is performed using the ANSYS FLUENT 18.2 commercial code. The effects of distance between the main blade and the secondary blade, position of the secondary blade, the width of the main blade’s slot, and the profile of the secondary blade on the produced torque are studied and analyzed. The simulation is performed at four wind velocities: 3, 4, 5, and 6 m/s. The results showed that the output torque at the secondary blade angular position β = 130 is higher than other angles. Furthermore, by increasing the radius of the additional blade from R = 25 to 43 mm, the torque is improved, and the area below the output torque curve is increased. Moreover, the results showed that creating a slot on the main blade equipped with a secondary blade has a significant impact on the produced torque; however, the geometrical parameters of the proposed rotors should be adjusted accurately to find the best case in terms of the produced torque.

Suggested Citation

  • Reza Norouztabar & Seyed Soheil Mousavi Ajarostaghi & Seyed Sina Mousavi & Payam Nejat & Seyed Saeid Rahimian Koloor & Mohamed Eldessouki, 2022. "On the Performance of a Modified Triple Stack Blade Savonius Wind Turbine as a Function of Geometrical Parameters," Sustainability, MDPI, vol. 14(16), pages 1-26, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9816-:d:883759
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    References listed on IDEAS

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    1. Reinauer, Tobias & Hansen, Ulrich Elmer, 2021. "Determinants of adoption in open-source hardware: A review of small wind turbines," Technovation, Elsevier, vol. 106(C).
    2. Eriksson, Sandra & Bernhoff, Hans & Leijon, Mats, 2008. "Evaluation of different turbine concepts for wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1419-1434, June.
    3. KC, Anup & Whale, Jonathan & Urmee, Tania, 2019. "Urban wind conditions and small wind turbines in the built environment: A review," Renewable Energy, Elsevier, vol. 131(C), pages 268-283.
    4. McTavish, S. & Feszty, D. & Sankar, T., 2012. "Steady and rotating computational fluid dynamics simulations of a novel vertical axis wind turbine for small-scale power generation," Renewable Energy, Elsevier, vol. 41(C), pages 171-179.
    5. Mauro, S. & Brusca, S. & Lanzafame, R. & Messina, M., 2019. "CFD modeling of a ducted Savonius wind turbine for the evaluation of the blockage effects on rotor performance," Renewable Energy, Elsevier, vol. 141(C), pages 28-39.
    6. Bethi, Rajagopal Vinod & Laws, Praveen & Kumar, Pankaj & Mitra, Santanu, 2019. "Modified Savonius wind turbine for harvesting wind energy from trains moving in tunnels," Renewable Energy, Elsevier, vol. 135(C), pages 1056-1063.
    7. Storti, Bruno A. & Dorella, Jonathan J. & Roman, Nadia D. & Peralta, Ignacio & Albanesi, Alejandro E., 2019. "Improving the efficiency of a Savonius wind turbine by designing a set of deflector plates with a metamodel-based optimization approach," Energy, Elsevier, vol. 186(C).
    8. Lipian, Michal & Dobrev, Ivan & Massouh, Fawaz & Jozwik, Krzysztof, 2020. "Small wind turbine augmentation: Numerical investigations of shrouded- and twin-rotor wind turbines," Energy, Elsevier, vol. 201(C).
    9. Ferrari, G. & Federici, D. & Schito, P. & Inzoli, F. & Mereu, R., 2017. "CFD study of Savonius wind turbine: 3D model validation and parametric analysis," Renewable Energy, Elsevier, vol. 105(C), pages 722-734.
    10. Kothe, Leonardo Brito & Möller, Sérgio Viçosa & Petry, Adriane Prisco, 2020. "Numerical and experimental study of a helical Savonius wind turbine and a comparison with a two-stage Savonius turbine," Renewable Energy, Elsevier, vol. 148(C), pages 627-638.
    11. Armstrong, Shawn & Fiedler, Andrzej & Tullis, Stephen, 2012. "Flow separation on a high Reynolds number, high solidity vertical axis wind turbine with straight and canted blades and canted blades with fences," Renewable Energy, Elsevier, vol. 41(C), pages 13-22.
    12. Menegozzo, L. & Dal Monte, A. & Benini, E. & Benato, A., 2018. "Small wind turbines: A numerical study for aerodynamic performance assessment under gust conditions," Renewable Energy, Elsevier, vol. 121(C), pages 123-132.
    13. 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.
    14. Mereu, R. & Federici, D. & Ferrari, G. & Schito, P. & Inzoli, F., 2017. "Parametric numerical study of Savonius wind turbine interaction in a linear array," Renewable Energy, Elsevier, vol. 113(C), pages 1320-1332.
    15. Gao, Xiaoxia & Li, Bingbing & Wang, Tengyuan & Sun, Haiying & Yang, Hongxing & Li, Yonghua & Wang, Yu & Zhao, Fei, 2020. "Investigation and validation of 3D wake model for horizontal-axis wind turbines based on filed measurements," Applied Energy, Elsevier, vol. 260(C).
    16. Amirsoheil Honarbari & Sajad Najafi-Shad & Mohsen Saffari Pour & Seyed Soheil Mousavi Ajarostaghi & Ali Hassannia, 2021. "MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System," Energies, MDPI, vol. 14(22), pages 1-16, November.
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