IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v143y2019icp679-691.html
   My bibliography  Save this article

A semi-analytical noise prediction model for airfoils with serrated trailing edges

Author

Listed:
  • Mayer, Yannick D.
  • Lyu, Benshuai
  • Jawahar, Hasan Kamliya
  • Azarpeyvand, Mahdi

Abstract

Trailing edge serrations are a widely used passive technique for the suppression of aerodynamic noise from wind turbines. Despite their popularity, no reliable engineering prediction tool has yet been developed to estimate the noise reduction for different serrations. This paper concerns the development of an engineering noise prediction tool, based on a recently developed mathematical model. Results show that the new model has several advantages over Howe's model, as it can take both destructive and constructive sound interference effects into account. Two surface pressure wavenumber-frequency models are implemented, namely Chase and TNO models, to demonstrate the sensitivity of the model to boundary layer characteristics. The boundary layer parameters needed in the wavenumber-frequency models are obtained using RANS CFD simulations. Far-field noise comparisons are provided between the proposed prediction tool and experimental data for a NACA0018 airfoil. A parametric study regarding the boundary layer changes of serrated airfoils signifies the need for more reliable wavenumber-frequency models. The results presented in the paper show that the proposed engineering tool can provide a fairly accurate estimate of the noise reduction performance of serrated airfoils, but its accuracy relies heavily on the availability of reliable near-field boundary layer information.

Suggested Citation

  • Mayer, Yannick D. & Lyu, Benshuai & Jawahar, Hasan Kamliya & Azarpeyvand, Mahdi, 2019. "A semi-analytical noise prediction model for airfoils with serrated trailing edges," Renewable Energy, Elsevier, vol. 143(C), pages 679-691.
    • Handle: RePEc:eee:renene:v:143:y:2019:i:c:p:679-691
    DOI: 10.1016/j.renene.2019.04.132
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119306172
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.04.132?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. Wang, Peilin & Liu, Qingsong & Li, Chun & Miao, Weipao & Yue, Minnan & Xu, Zifei, 2022. "Investigation of the aerodynamic characteristics of horizontal axis wind turbine using an active flow control method via boundary layer suction," Renewable Energy, Elsevier, vol. 198(C), pages 1032-1048.

    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:renene:v:143:y:2019:i:c:p:679-691. 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.journals.elsevier.com/renewable-energy .

    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.