IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-91312-9_17.html

Towards Large Scale Blunt Trailing Edge Noise Simulations

In: High Performance Computing in Science and Engineering '23

Author

Listed:
  • Kathrin Stahl

    (Institute of Software Methods for Product Virtualization, German Aerospace Center (DLR))

  • Jana Gericke

    (Institute of Software Methods for Product Virtualization, German Aerospace Center (DLR))

  • Harald Klimach

    (Institute of Software Methods for Product Virtualization, German Aerospace Center (DLR))

  • Sabine Roller

    (Institute of Software Methods for Product Virtualization, German Aerospace Center (DLR))

Abstract

Trailing edge noise is a significant contributor to the noise emissions of wind turbine blades. Thus, in this project we aim to study and understand this flow-induced noise emission with a detailed analysis of this sound source and possible mitigation strategies by employing the Lattice-Boltzmann method for a highly resolved simulation of the fluid flow and the resulting noise. We present the current status of the project including a preliminary study consisting of wind tunnel experiments and very large eddy simulations. Based on this, the objectives for the new study are defined. A new feature that shifts the communication of the global reductions in health checks into the background, was implemented recently and its impact is investigated in this report. We determine the setup as well as the operational parameters for production runs on Hawk to make best use of the machine.

Suggested Citation

  • Kathrin Stahl & Jana Gericke & Harald Klimach & Sabine Roller, 2026. "Towards Large Scale Blunt Trailing Edge Noise Simulations," Springer Books, in: Thomas Ludwig & Peter Bastian & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '23, pages 239-254, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-91312-9_17
    DOI: 10.1007/978-3-031-91312-9_17
    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

    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:978-3-031-91312-9_17. 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.