IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-32-9531-5_6.html
   My bibliography  Save this book chapter

Modelling the Performance of a Vertical Axis Wind Turbine with Cambered Tubercle Leading Edge Blades

In: Transactions on Engineering Technologies

Author

Listed:
  • Ian Carlo M. Lositaño

    (University of the Philippines Diliman, Energy Engineering Graduate Program)

  • Louis Angelo M. Danao

    (University of the Philippines Diliman, Department of Mechanical Engineering)

Abstract

Numerical simulations using computational fluid dynamics (CFD) to solve the Reynolds-Averaged Navier-Stokes (RANS) equations in vertical axis wind turbine (VAWT) systems has been remarkably helpful in the performance improvement of VAWTs. In this study, a 5 kW three-bladed H-rotor Darrieus VAWT with cambering and tubercle leading edge (TLE) incorporated as blade passive motion controls was modeled in computer-aided design geometry and fluid environment mesh, and simulated in a solver to predict its aerodynamics and performance. TLE modification on a cambered airfoil VAWT was shown to be detrimental to flow and performance using torque, lift and drag data. Results were further verified using the vorticity profiles of z-vorticity and Q-criterion where the baseline cambered VAWT showed streamlined flow generally throughout one full VAWT rotation while the TLE VAWT generated explicitly massive vortices the size of the blade chord at blade wakes that increased drag and reduced torque. Negative torque values reaching −3.59Nm were monitored to cause the overall performance degradation. TLE blades in the VAWT generated turbulence instead of reducing it. The TLE VAWT harnessed only 9.28 W of the 137.8 W available wind power.

Suggested Citation

  • Ian Carlo M. Lositaño & Louis Angelo M. Danao, 2019. "Modelling the Performance of a Vertical Axis Wind Turbine with Cambered Tubercle Leading Edge Blades," Springer Books, in: Sio-Iong Ao & Len Gelman & Haeng Kon Kim (ed.), Transactions on Engineering Technologies, chapter 0, pages 73-86, Springer.
  • Handle: RePEc:spr:sprchp:978-981-32-9531-5_6
    DOI: 10.1007/978-981-32-9531-5_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:sprchp:978-981-32-9531-5_6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.