Transported pdf modeling of nonpremixed turbulent CO/H 2/N 2 jet flames

Xinyu Zhao, D. C. Haworth, E. David Huckaby

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

Turbulent CO/H2/N2 (syngas) flames are simulated using a transported composition probability density function (PDF) method. A consistent hybrid Lagrangian particle/Eulerian mesh algorithm is used to solve the modeled PDF transport equation. The model includes standard k-turbulence, gradient transport for scalars, and Euclidean minimum spanning tree (EMST) mixing. Sensitivities of model results to variations in the turbulence model, the treatment of radiation heat transfer, the choice of chemical mechanism, and the PDF mixing model are explored. A baseline model reproduces the measured mean and rms temperature, major species, and minor species profiles reasonably well, and captures the scaling that is observed in the experiments. Both our results and the literature suggest that further improvements can be realized with adjustments in the turbulence model, the radiation heat transfer model, and the chemical mechanism. Although radiation effects are relatively small in these flames, consideration of radiation is important for accurate NO prediction. Chemical mechanisms that have been developed specifically for fuels with high concentrations of CO and H 2 perform better than a methane mechanism that was not designed for this purpose. It is important to account explicitly for turbulence-chemistry interactions, although the details of the mixing model do not make a large difference in the results, within reasonable limits. Supplemental materials are available for this article. Go to the publisher's online edition of Combustion Science and Technology to view the free supplemental file.

Original languageEnglish (US)
Pages (from-to)676-693
Number of pages18
JournalCombustion science and technology
Volume184
Issue number5
DOIs
StatePublished - May 1 2012

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All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Physics and Astronomy(all)

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