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Evaluation of the different aerodynamic databases for vertical axis wind turbine simulations

Author

Listed:
  • Bedon, Gabriele
  • Antonini, Enrico G.A.
  • De Betta, Stefano
  • Raciti Castelli, Marco
  • Benini, Ernesto

Abstract

A review on a wide number of different aerodynamic coefficient databases to be used for vertical axis wind turbine simulations is conducted in this work. The databases are adopted in conjunction with a Blade Element-Momentum algorithm, a commonly used tool to design and verify the aerodynamic behaviour of these machines. Experimental data derived from field test available in the literature for a wide range of rotor sizes are considered and compared to the simulation results. The aerodynamic databases provide strongly different estimations due to the different working conditions: in each case suggestions on their use are provided based on their reliability. Finally, resuming all the conducted validations, practical general considerations are proposed to the wind turbine designer to conduct reliable simulations.

Suggested Citation

  • Bedon, Gabriele & Antonini, Enrico G.A. & De Betta, Stefano & Raciti Castelli, Marco & Benini, Ernesto, 2014. "Evaluation of the different aerodynamic databases for vertical axis wind turbine simulations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 386-399.
    • Handle: RePEc:eee:rensus:v:40:y:2014:i:c:p:386-399
    DOI: 10.1016/j.rser.2014.07.126
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    Citations

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    Cited by:

    1. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    2. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2019. "Concept of flexible vertical-axis wind turbine with numerical simulation and shape optimization," Energy, Elsevier, vol. 167(C), pages 841-852.
    3. Kumar, Rakesh & Raahemifar, Kaamran & Fung, Alan S., 2018. "A critical review of vertical axis wind turbines for urban applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 281-291.
    4. Dhoot, Aditya & Antonini, Enrico G.A. & Romero, David A. & Amon, Cristina H., 2021. "Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability," Energy, Elsevier, vol. 223(C).
    5. Marinić-Kragić, Ivo & Vučina, Damir & Milas, Zoran, 2018. "Numerical workflow for 3D shape optimization and synthesis of vertical-axis wind turbines for specified operating regimes," Renewable Energy, Elsevier, vol. 115(C), pages 113-127.
    6. Chen, Jian & Pan, Xiong & Wang, Canxing & Hu, Guojun & Xu, Hongtao & Liu, Pengwei, 2019. "Airfoil parameterization evaluation based on a modified PARASEC method for a H-Darrious rotor," Energy, Elsevier, vol. 187(C).
    7. Chen, Jian & Yang, Hongxing & Yang, Mo & Xu, Hongtao & Hu, Zuohuan, 2015. "A comprehensive review of the theoretical approaches for the airfoil design of lift-type vertical axis wind turbine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1709-1720.
    8. Bedon, Gabriele & De Betta, Stefano & Benini, Ernesto, 2016. "Performance-optimized airfoil for Darrieus wind turbines," Renewable Energy, Elsevier, vol. 94(C), pages 328-340.
    9. Bedon, Gabriele & Schmidt Paulsen, Uwe & Aagaard Madsen, Helge & Belloni, Federico & Raciti Castelli, Marco & Benini, Ernesto, 2017. "Computational assessment of the DeepWind aerodynamic performance with different blade and airfoil configurations," Applied Energy, Elsevier, vol. 185(P2), pages 1100-1108.

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