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Effects of the Reynolds number and the tip losses on the optimal aspect ratio of straight-bladed Vertical Axis Wind Turbines

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  • Zanforlin, Stefania
  • Deluca, Stefano

Abstract

Aspect Ratio (AR) is one of the main design parameters of straight-bladed vertical axis turbines. This paper will examine whether a high AR, with long blades and low tip losses, or a low AR, with a higher diameter and higher losses, is more suitable to achieve the maximum power output given a fixed cross-sectional area. Traditional Double-Multiple Stream-Tube (DMST) approaches are limited by a lack of tip loss formulations specifically conceived for vertical axis turbines. Therefore, a CFD-3D investigation covering a power range from micro-generation to MW has been done. Results show that both Reynolds number and tip losses strongly influence the aerodynamic performance of the rotor. More advantages seem to be achieved by limiting tip losses rather than increasing chord-based Reynolds number (Rec), addressing towards high AR at least for medium and large-size turbines. However, as turbine size and wind speed decrease, this difference narrows considerably. For micro turbines, tip losses are balanced by the effects of Rec, thus a variation of AR does not imply a variation of CP. For all the cases that have been analysed, turbine size and therefore Rec does not appreciably affect the normalized CP distribution along the blade, which only depends on AR.

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  • Zanforlin, Stefania & Deluca, Stefano, 2018. "Effects of the Reynolds number and the tip losses on the optimal aspect ratio of straight-bladed Vertical Axis Wind Turbines," Energy, Elsevier, vol. 148(C), pages 179-195.
    • Handle: RePEc:eee:energy:v:148:y:2018:i:c:p:179-195
    DOI: 10.1016/j.energy.2018.01.132
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    14. Barnes, Andrew & Marshall-Cross, Daniel & Hughes, Ben Richard, 2021. "Towards a standard approach for future Vertical Axis Wind Turbine aerodynamics research and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    15. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2019. "On the accuracy of turbulence models for CFD simulations of vertical axis wind turbines," Energy, Elsevier, vol. 180(C), pages 838-857.
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    17. Posa, Antonio, 2022. "Wake characterization of paired cross-flow turbines," Renewable Energy, Elsevier, vol. 196(C), pages 1064-1094.
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    19. Ardaneh, Fatemeh & Abdolahifar, Abolfazl & Karimian, S.M.H., 2022. "Numerical analysis of the pitch angle effect on the performance improvement and flow characteristics of the 3-PB Darrieus vertical axis wind turbine," Energy, Elsevier, vol. 239(PD).
    20. Zheng Yuan & Jin Jiang & Jun Zang & Qihu Sheng & Ke Sun & Xuewei Zhang & Renwei Ji, 2020. "A Fast Two-Dimensional Numerical Method for the Wake Simulation of a Vertical Axis Wind Turbine," Energies, MDPI, vol. 14(1), pages 1-21, December.
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