LES of turbulent lifted CH4/H2 flames using a novel FGM-PDF model

Ebrahim Abtahizadeh, J. van Oijen, P. de Goey

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review


    This study reports on numerical investigations of preferential diffusion effects on flame stabilization of turbulent lifted flames using LES with a FGM-PDF approach. The experimental test case is the Delft JHC burner to study Mild combustion; a clean combustion concept. In this burner, CH4 based fuel has been enriched from 0 to 25% of H2. Since the main stabilization mechanism of these turbulent flames is autoignition, the developed numerical model should be able to predict this complex event. Furthermore, addition of hydrogen makes modeling even more challenging due to its preferential diffusion effects. These effects are increasingly important since autoignition is typically initiated at very small mixture fractions where molecular diffusion is comparable to turbulence transport (eddy viscosity). In this study, first, a novel numerical model is developed based on the Flamelet Generated Manifolds (FGM) to account for preferential diffusion effects in autoignition. Afterwards, the developed FGM approach is implemented in LES of the H2 enriched turbulent lifted jet flames. Main features of these turbulent lifted flames such as the formation of ignition kernels and stabilization mechanisms are thoroughly analyzed and compared with the measurements of OH chemiluminescence.
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    Publication statusPublished - 2014
    EventAnnual Meeting of the APS Division of Fluid Dynamics - San Francisco, United States
    Duration: 23 Nov 201425 Nov 2014


    ConferenceAnnual Meeting of the APS Division of Fluid Dynamics
    Country/TerritoryUnited States
    CitySan Francisco

    Bibliographical note

    The full text is currently unavailable on the repository.


    Dive into the research topics of 'LES of turbulent lifted CH4/H2 flames using a novel FGM-PDF model'. Together they form a unique fingerprint.

    Cite this