IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v67y2000i1-2p117-135.html
   My bibliography  Save this article

Probability-density function model of turbulent hydrogen flames

Author

Listed:
  • Hsu, A. T.
  • He, G. -B.

Abstract

Hydrogen combustion attracted much attention recently because of the need for clean alternative energy. For the theoretical/numerical study of hydrogen combustion, there is a need for modeling capabilities for turbulent hydrogen flames. The present work examines the applicability of probability density function (pdf) turbulence models. For the purpose of accurate prediction of turbulent combustion, an algorithm that combines a conventional CFD flow solver with the Monte Carlo simulation of the pdf evolution equation, has been developed. The algorithm is validated using experimental data for a heated turbulent plane jet. A study of H2-F2 diffusion flames has been carried out using this algorithm. Numerical results show that the pdf method is capable of correctly simulating turbulence effects in hydrogen combustion.

Suggested Citation

  • Hsu, A. T. & He, G. -B., 2000. "Probability-density function model of turbulent hydrogen flames," Applied Energy, Elsevier, vol. 67(1-2), pages 117-135, September.
  • Handle: RePEc:eee:appene:v:67:y:2000:i:1-2:p:117-135
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(00)00009-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Shu, Zhiyong & Liang, Wenqing & Liu, Fan & Lei, Gang & Zheng, Xiaohong & Qian, Hua, 2022. "Diffusion characteristics of liquid hydrogen spills in a crossflow field: Prediction model and experiment," Applied Energy, Elsevier, vol. 323(C).

    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:eee:appene:v:67:y:2000:i:1-2:p:117-135. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.