IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v3y2010i5p989-1013d8360.html
   My bibliography  Save this article

CFD in Wind Energy: The Virtual, Multiscale Wind Tunnel

Author

Listed:
  • Jonathon Sumner

    (École de technologie supérieure, Département de génie mécanique, 1100 rue Notre-Dame Ouest, Montreal, Canada)

  • Christophe Sibuet Watters

    (CENER, Wind Energy Department, c/Ciudad de la Innovación 7, 31621 Sarriguren, Navarra, Spain)

  • Christian Masson

    (École de technologie supérieure, Département de génie mécanique, 1100 rue Notre-Dame Ouest, Montreal, Canada)

Abstract

Over the past two decades, computational fluid dynamics and particularly the finite volume method have been increasingly used to predict the performance of wind turbines within their environment. Increases in available computational power has led to the application of RANS-based models to more and more complex flow problems and permitted the use of LES-based models where previously not possible. The following article reviews the development of CFD as applied by the wind energy community from small to large scale: from the flow around 2D airfoils to the flow through an entire wind farm.

Suggested Citation

  • Jonathon Sumner & Christophe Sibuet Watters & Christian Masson, 2010. "CFD in Wind Energy: The Virtual, Multiscale Wind Tunnel," Energies, MDPI, vol. 3(5), pages 1-25, May.
    • Handle: RePEc:gam:jeners:v:3:y:2010:i:5:p:989-1013:d:8360
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/3/5/989/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/3/5/989/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Arteaga-López, Ernesto & Angeles-Camacho, César, 2021. "Innovative virtual computational domain based on wind rose diagrams for micrositing small wind turbines," Energy, Elsevier, vol. 220(C).
    2. Miguel A. Gómez & Roberto Comesaña & Miguel A. Álvarez Feijoo & Pablo Eguía, 2012. "Simulation of the Effect of Water Temperature on Domestic Biomass Boiler Performance," Energies, MDPI, vol. 5(4), pages 1-18, April.
    3. 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.
    4. Takanori Uchida & Yuji Ohya, 2011. "Latest Developments in Numerical Wind Synopsis Prediction Using the RIAM-COMPACT ® CFD Model—Design Wind Speed Evaluation and Wind Risk (Terrain-Induced Turbulence) Diagnostics in Japan," Energies, MDPI, vol. 4(3), pages 1-17, March.
    5. Hussein A. Mahmood & Nor Mariah. Adam & B. B. Sahari & S. U. Masuri, 2017. "New Design of a CNG-H 2 -AIR Mixer for Internal Combustion Engines: An Experimental and Numerical Study," Energies, MDPI, vol. 10(9), pages 1-27, September.
    6. Wen, Tao & Lu, Lin & He, Weifeng & Min, Yunran, 2020. "Fundamentals and applications of CFD technology on analyzing falling film heat and mass exchangers: A comprehensive review," Applied Energy, Elsevier, vol. 261(C).
    7. de Oliveira, Marielle & Puraca, Rodolfo C. & Carmo, Bruno S., 2023. "A study on the influence of the numerical scheme on the accuracy of blade-resolved simulations employed to evaluate the performance of the NREL 5 MW wind turbine rotor in full scale," Energy, Elsevier, vol. 283(C).
    8. J. Gaitan-Aroca & Fabio Sierra & Jose Ulises Castellanos Contreras, 2020. "Bio-Inspired Rotor Design Characterization of a Horizontal Axis Wind Turbine," Energies, MDPI, vol. 13(14), pages 1-22, July.
    9. Toja-Silva, Francisco & Lopez-Garcia, Oscar & Peralta, Carlos & Navarro, Jorge & Cruz, Ignacio, 2016. "An empirical–heuristic optimization of the building-roof geometry for urban wind energy exploitation on high-rise buildings," Applied Energy, Elsevier, vol. 164(C), pages 769-794.
    10. Takanori Uchida & Tadasuke Yoshida & Masaki Inui & Yoshihiro Taniyama, 2021. "Doppler Lidar Investigations of Wind Turbine Near-Wakes and LES Modeling with New Porous Disc Approach," Energies, MDPI, vol. 14(8), pages 1-33, April.
    11. Shaohui Li & Xuejin Sun & Riwei Zhang & Chuanliang Zhang, 2019. "A Feasibility Study of Simulating the Micro-Scale Wind Field for Wind Energy Applications by NWP/CFD Model with Improved Coupling Method and Data Assimilation," Energies, MDPI, vol. 12(13), pages 1-19, July.
    12. Sanchez, Valentin & Pallares, Jordi & Vernet, Anton & Agafonova, Oxana & Hämäläinen, Jari, 2016. "A Multiple Actuator Block model for vertical axis wind turbines," Renewable Energy, Elsevier, vol. 99(C), pages 592-601.
    13. Takanori Uchida & Kenichiro Sugitani, 2020. "Numerical and Experimental Study of Topographic Speed-Up Effects in Complex Terrain," Energies, MDPI, vol. 13(15), pages 1-38, July.
    14. Hanslian, David & Hošek, Jiří, 2015. "Combining the VAS 3D interpolation method and Wind Atlas methodology to produce a high-resolution wind resource map for the Czech Republic," Renewable Energy, Elsevier, vol. 77(C), pages 291-299.
    15. Wei Zhong & Wen Zhong Shen & Tong Guang Wang & Wei Jun Zhu, 2019. "A New Method of Determination of the Angle of Attack on Rotating Wind Turbine Blades," Energies, MDPI, vol. 12(20), pages 1-19, October.
    16. Romanic, Djordje & Parvu, Dan & Refan, Maryam & Hangan, Horia, 2018. "Wind and tornado climatologies and wind resource modelling for a modern development situated in “Tornado Alley”," Renewable Energy, Elsevier, vol. 115(C), pages 97-112.

    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:gam:jeners:v:3:y:2010:i:5:p:989-1013:d:8360. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.