IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v40y2014icp386-399.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032114005784
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2014.07.126?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:40:y:2014:i:c:p:386-399. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.