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Large eddy simulation of hydrogen combustion in supersonic flows using an Eulerian stochastic fields method

Gong, Cheng LU ; Jangi, Mehdi LU ; Bai, Xue Song LU ; Liang, Jian Han and Sun, Ming Bo (2017) In International Journal of Hydrogen Energy 42(2). p.1264-1275
Abstract

An Eulerian Monte-Carlo approach, the so-called Eulerian stochastic fields (ESF) method is implemented and evaluated for simulation of non-premixed hydrogen/air combustion in supersonic flows. The ESF method is integrated into a compressible flow large eddy simulation (LES) solver, and validated on a supersonic combustor with a strut as flame-holder. Comparison with experimental data and with results from a well-stirred reactor (WSR) model demonstrates the advantage of the LES-ESF method for simulation of local-extinction and re-ignition phenomena. The hydrogen/air flame structure and the stabilization of the combustion process in the supersonic combustor are analysed based on the present LES-ESF method. Oscillation of the recirculation... (More)

An Eulerian Monte-Carlo approach, the so-called Eulerian stochastic fields (ESF) method is implemented and evaluated for simulation of non-premixed hydrogen/air combustion in supersonic flows. The ESF method is integrated into a compressible flow large eddy simulation (LES) solver, and validated on a supersonic combustor with a strut as flame-holder. Comparison with experimental data and with results from a well-stirred reactor (WSR) model demonstrates the advantage of the LES-ESF method for simulation of local-extinction and re-ignition phenomena. The hydrogen/air flame structure and the stabilization of the combustion process in the supersonic combustor are analysed based on the present LES-ESF method. Oscillation of the recirculation zones is found to be the dominant mechanism for the local-extinction/re-ignition and the flame stabilization under the present condition.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Eulerian stochastic fields, Large eddy simulation, Local-extinction, Re-ignition, Supersonic, Transported probability density function
in
International Journal of Hydrogen Energy
volume
42
issue
2
pages
12 pages
publisher
Elsevier
external identifiers
  • scopus:84994430625
  • wos:000395213200048
ISSN
0360-3199
DOI
10.1016/j.ijhydene.2016.09.017
language
English
LU publication?
yes
id
3e4ddb4a-74af-4deb-93d9-7d65291eff25
date added to LUP
2017-01-23 14:13:29
date last changed
2025-01-11 20:27:18
@article{3e4ddb4a-74af-4deb-93d9-7d65291eff25,
  abstract     = {{<p>An Eulerian Monte-Carlo approach, the so-called Eulerian stochastic fields (ESF) method is implemented and evaluated for simulation of non-premixed hydrogen/air combustion in supersonic flows. The ESF method is integrated into a compressible flow large eddy simulation (LES) solver, and validated on a supersonic combustor with a strut as flame-holder. Comparison with experimental data and with results from a well-stirred reactor (WSR) model demonstrates the advantage of the LES-ESF method for simulation of local-extinction and re-ignition phenomena. The hydrogen/air flame structure and the stabilization of the combustion process in the supersonic combustor are analysed based on the present LES-ESF method. Oscillation of the recirculation zones is found to be the dominant mechanism for the local-extinction/re-ignition and the flame stabilization under the present condition.</p>}},
  author       = {{Gong, Cheng and Jangi, Mehdi and Bai, Xue Song and Liang, Jian Han and Sun, Ming Bo}},
  issn         = {{0360-3199}},
  keywords     = {{Eulerian stochastic fields; Large eddy simulation; Local-extinction; Re-ignition; Supersonic; Transported probability density function}},
  language     = {{eng}},
  month        = {{01}},
  number       = {{2}},
  pages        = {{1264--1275}},
  publisher    = {{Elsevier}},
  series       = {{International Journal of Hydrogen Energy}},
  title        = {{Large eddy simulation of hydrogen combustion in supersonic flows using an Eulerian stochastic fields method}},
  url          = {{http://dx.doi.org/10.1016/j.ijhydene.2016.09.017}},
  doi          = {{10.1016/j.ijhydene.2016.09.017}},
  volume       = {{42}},
  year         = {{2017}},
}