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Comparison study on LES combustion models in diffusion flame

Liu, Xiao LU ; Gong, Cheng LU ; Li, Zhiming and Zheng, Hongtao (2018) In Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University 39(3). p.496-502
Abstract

This study comparatively analyzes the calculation performances of different large-eddy simulation (LES) combustion models in a diffused flame simulation to investigate the performances of different LES-turbulent combustion models. The flamelet/progress variable (FPV), partially stirred reactor (PaSR), and transport joint possibility density function (PDF) combustion model are adopted to perform a numerical simulation analysis for Flame D in the Sandia Lab. The comparison between the calculation results and the test data shows that the three models can properly simulate the diffused flame. The transport PDF model based on the Eulerian stochastic field method can realize better results, especially the forecast for the intermediate... (More)

This study comparatively analyzes the calculation performances of different large-eddy simulation (LES) combustion models in a diffused flame simulation to investigate the performances of different LES-turbulent combustion models. The flamelet/progress variable (FPV), partially stirred reactor (PaSR), and transport joint possibility density function (PDF) combustion model are adopted to perform a numerical simulation analysis for Flame D in the Sandia Lab. The comparison between the calculation results and the test data shows that the three models can properly simulate the diffused flame. The transport PDF model based on the Eulerian stochastic field method can realize better results, especially the forecast for the intermediate radicals (OH) and the pollutant emissions (NO). However, the calculation volume is huge. The calculation speed and precision of PaSR are acceptable. The FPV method can save much CPU time, and has great value in engineering applications.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Diffusion flame, FPV model, Gas turbine, Large-Eddy Simulation, PaSR model, PDF model
in
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
volume
39
issue
3
pages
7 pages
publisher
Harbin Engineering University
external identifiers
  • scopus:85044406417
ISSN
1006-7043
DOI
10.11990/jheu.201705045
language
Chinese
LU publication?
yes
id
551f1e67-88e3-4453-a9a3-7895203e3556
date added to LUP
2018-05-07 14:13:00
date last changed
2019-02-20 11:16:28
@article{551f1e67-88e3-4453-a9a3-7895203e3556,
  abstract     = {<p>This study comparatively analyzes the calculation performances of different large-eddy simulation (LES) combustion models in a diffused flame simulation to investigate the performances of different LES-turbulent combustion models. The flamelet/progress variable (FPV), partially stirred reactor (PaSR), and transport joint possibility density function (PDF) combustion model are adopted to perform a numerical simulation analysis for Flame D in the Sandia Lab. The comparison between the calculation results and the test data shows that the three models can properly simulate the diffused flame. The transport PDF model based on the Eulerian stochastic field method can realize better results, especially the forecast for the intermediate radicals (OH) and the pollutant emissions (NO). However, the calculation volume is huge. The calculation speed and precision of PaSR are acceptable. The FPV method can save much CPU time, and has great value in engineering applications.</p>},
  author       = {Liu, Xiao and Gong, Cheng and Li, Zhiming and Zheng, Hongtao},
  issn         = {1006-7043},
  keyword      = {Diffusion flame,FPV model,Gas turbine,Large-Eddy Simulation,PaSR model,PDF model},
  language     = {chi},
  month        = {03},
  number       = {3},
  pages        = {496--502},
  publisher    = {Harbin Engineering University},
  series       = {Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University},
  title        = {Comparison study on LES combustion models in diffusion flame},
  url          = {http://dx.doi.org/10.11990/jheu.201705045},
  volume       = {39},
  year         = {2018},
}