IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-74739-0_42.html
   My bibliography  Save this book chapter

Numerical Simulation of Human Radiation Heat Transfer Using a Mathematical Model of Human Physiology and Computational Fluid Dynamics (CFD)

In: High Performance Computing in Science and Engineering `07

Author

Listed:
  • Rehan Yousaf

    (University of Karlsruhe, Division for Building Physics and Building Services (fbta)
    Poyry Infra AG, Ventilation and Safety Division
    De Montfort University, Institute of Energy and Sustainable Development)

  • Dusan Fiala

    (University of Karlsruhe, Division for Building Physics and Building Services (fbta)
    De Montfort University, Institute of Energy and Sustainable Development
    University of Stuttgart, Institute of Construction Economics)

  • Andreas Wagner

    (University of Karlsruhe, Division for Building Physics and Building Services (fbta))

Abstract

Human-environment thermal interactions play an important role in numerous areas of human endeavour from the safety of fire-fighters, thermal comfort in buildings to energy efficient planning of heating and ventilation systems. The thermal interactions that occur between humans and their immediate environments are however very complex and thus difficult to predict. The project currently being carried out at Building Sciences Group (fbta) at the University of Karlsruhe started in March 2006. This project is part of a four year research project in collaboration with the Institute of Energy and Sustainable Development (IESD) at the De Montfort University in Leicester, UK and the Technical University of Denmark. The focus is on the complex human-environment interactions in naturally ventilated buildings to predict human thermal comfort. To correctly predict the thermo-physiological interactions of humans with their surroundings that dictate the perception of thermal comfort, an advanced and widely validated cybernetic multi-segmental thermophysiological model namely “IESD Fiala Model” is employed. The model is used to provide the necessary physiological data as boundary conditions for Computational Fluid Dynamics (CFD) simulations incorporating a detailed geometry model of the human body and the surrounding space. CFD techniques can predict in detail the spatial variations of air temperature, air speed, turbulence intensity, radiation effects on heat transfer, moisture and pollutant concentrations. At the moment a number of CFD codes exist, but due to time constraints only ANSYS CFX Version 10.0 [1] is used in this project.

Suggested Citation

  • Rehan Yousaf & Dusan Fiala & Andreas Wagner, 2008. "Numerical Simulation of Human Radiation Heat Transfer Using a Mathematical Model of Human Physiology and Computational Fluid Dynamics (CFD)," Springer Books, in: Wolfgang E. Nagel & Dietmar Kröner & Michael Resch (ed.), High Performance Computing in Science and Engineering `07, pages 647-666, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-74739-0_42
    DOI: 10.1007/978-3-540-74739-0_42
    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:978-3-540-74739-0_42. 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.