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CFD study of Savonius wind turbine: 3D model validation and parametric analysis

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  • Ferrari, G.
  • Federici, D.
  • Schito, P.
  • Inzoli, F.
  • Mereu, R.

Abstract

A CFD study is conducted in order to characterize the dynamic behavior of a Savonius vertical axis wind turbine. All simulations are executed using the open source code, OpenFOAM. Both two-dimensional and full three-dimensional cases have been investigated in order to provide a suitable tool for geometrical optimization of this rotor. Unsteady simulations are carried out at different tip speed ratio (TSR), varying angular speed of rotor at constant wind speed, using different one and two-equation URANS turbulence models and selecting the k−ω SST for the final analysis. The two-dimensional model was compared with experimental data available in literature and obtained from tests in wind tunnel. This simplified model shows an over-estimation of experimental data, reporting a maximum efficiency at TSR 1, 20% higher than experimental value. The results of 3D model are in good agreement with experiments with a peak of 0.202 at TSR 0.8 for a rotor with aspect ratio 1.1. The influence of the rotor height has been evaluated on flow dynamics of the turbine and its power coefficient.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:105:y:2017:i:c:p:722-734
    DOI: 10.1016/j.renene.2016.12.077
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    1. 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.
    2. Jan Michna & Krzysztof Rogowski, 2022. "CFD Calculations of Average Flow Parameters around the Rotor of a Savonius Wind Turbine," Energies, MDPI, vol. 16(1), pages 1-17, December.
    3. 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).
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    6. Longo, Riccardo & Nicastro, Patricia & Natalini, Matteo & Schito, Paolo & Mereu, Riccardo & Parente, Alessandro, 2020. "Impact of urban environment on Savonius wind turbine performance: A numerical perspective," Renewable Energy, Elsevier, vol. 156(C), pages 407-422.
    7. Elbatran, A.H. & Ahmed, Yasser M. & Shehata, Ahmed S., 2017. "Performance study of ducted nozzle Savonius water turbine, comparison with conventional Savonius turbine," Energy, Elsevier, vol. 134(C), pages 566-584.
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    9. Jesús Rascón & Wildor Gosgot Angeles & Manuel Oliva-Cruz & Miguel Ángel Barrena Gurbillón, 2022. "Wind Characteristics and Wind Energy Potential in Andean Towns in Northern Peru between 2016 and 2020: A Case Study of the City of Chachapoyas," Sustainability, MDPI, vol. 14(10), pages 1-11, May.
    10. Elkhoury, M. & Kiwata, T. & Nagao, K. & Kono, T. & ElHajj, F., 2018. "Wind tunnel experiments and Delayed Detached Eddy Simulation of a three-bladed micro vertical axis wind turbine," Renewable Energy, Elsevier, vol. 129(PA), pages 63-74.
    11. Kai Lv & Yudong Xie & Xinbiao Zhang & Yong Wang, 2020. "Development of Savonius Rotors Integrated into Control Valves for Energy Harvesting," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
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    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. Patel, Vimal & Eldho, T.I. & Prabhu, S.V., 2019. "Velocity and performance correction methodology for hydrokinetic turbines experimented with different geometry of the channel," Renewable Energy, Elsevier, vol. 131(C), pages 1300-1317.
    15. 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.
    16. Carneiro, F.O.M. & Moura, L.F.M. & Costa Rocha, P.A. & Pontes Lima, R.J. & Ismail, K.A.R., 2019. "Application and analysis of the moving mesh algorithm AMI in a small scale HAWT: Validation with field test's results against the frozen rotor approach," Energy, Elsevier, vol. 171(C), pages 819-829.
    17. Chen, Yunrui & Guo, Penghua & Zhang, Dayu & Chai, Kaixin & Zhao, Chenxi & Li, Jingyin, 2022. "Power improvement of a cluster of three Savonius wind turbines using the variable-speed control method," Renewable Energy, Elsevier, vol. 193(C), pages 832-842.
    18. 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.
    19. Guo, Fen & Song, Baowei & Mao, Zhaoyong & Tian, Wenlong, 2020. "Experimental and numerical validation of the influence on Savonius turbine caused by rear deflector," Energy, Elsevier, vol. 196(C).
    20. Noman, Abdullah Al & Tasneem, Zinat & Sahed, Md. Fahad & Muyeen, S.M. & Das, Sajal K. & Alam, Firoz, 2022. "Towards next generation Savonius wind turbine: Artificial intelligence in blade design trends and framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    21. Fanel Dorel Scheaua, 2020. "Comparative Numerical Analysis on Vertical Wind Turbine Rotor Pattern of Bach and Benesh Type," Energies, MDPI, vol. 13(9), pages 1-20, May.
    22. Victor Mendoza & Eirini Katsidoniotaki & Hans Bernhoff, 2020. "Numerical Study of a Novel Concept for Manufacturing Savonius Turbines with Twisted Blades," Energies, MDPI, vol. 13(8), pages 1-16, April.
    23. 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.

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