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Experimental and kinetic modeling study of combustion of gasoline, its surrogates and components in laminar non-premixed flows

Published on Jan 1, 2009
· DOI :10.1016/j.proci.2008.06.214
Tom Bieleveld1
Estimated H-index: 1
(UCSD: University of California, San Diego),
Alessio Frassoldati34
Estimated H-index: 34
(Polytechnic University of Milan)
+ 4 AuthorsK. Seshadri28
Estimated H-index: 28
(UCSD: University of California, San Diego)
Abstract
Abstract Experimental and numerical studies are carried out to construct surrogates that can reproduce selected aspects of combustion of gasoline in non premixed flows. Experiments are carried out employing the counterflow configuration. Critical conditions of extinction and autoignition are measured. The fuels tested are n -heptane, iso -octane, methylcyclohexane, toluene, three surrogates made up of these components, called surrogate A, surrogate B, and surrogate C, two commercial gasoline with octane numbers (ON) of 87 and 91, and two mixtures of the primary reference fuels, n -heptane and iso -octane, called PRF 87 and PRF 91. The combustion characteristics of the commercial gasolines, ON 87 and ON 91, are found to be nearly the same. Surrogate A and surrogate C are found to reproduce critical conditions of extinction and autoignition of gasoline: surrogate C is slightly better than surrogate A. Numerical calculations are carried out using a semi-detailed chemical-kinetic mechanism. The calculated values of the critical conditions of extinction and autoignition of the components of the surrogates agree well with experimental data. The octane numbers of the mixtures PRF 87 and PRF 91 are the same as those for the gasoline tested here. Experimental and numerical studies show that the critical conditions of extinction and autoignition for these fuels are not the same as those for gasoline. This confirms the need to include at least aromatic compounds in the surrogate mixtures. The present study shows that the semi-detailed chemical-kinetic mechanism developed here is able to predict key aspects of combustion of gasoline in non premixed flows, although further kinetic work is needed to improve the combustion chemistry of aromatic species, in particular toluene.
  • References (14)
  • Citations (54)
References14
Newest
#1Alberto Cuoci (Polytechnic University of Milan)H-Index: 27
#2Alessio Frassoldati (Polytechnic University of Milan)H-Index: 34
Last.E. Ranzi (Polytechnic University of Milan)H-Index: 49
view all 4 authors...
#1Carlo Cavallotti (Polytechnic University of Milan)H-Index: 24
#2R. Rota (Polytechnic University of Milan)H-Index: 24
Last.E. Ranzi (Polytechnic University of Milan)H-Index: 49
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#1B.M. Gauthier (Stanford University)H-Index: 2
#2David F. Davidson (Stanford University)H-Index: 39
Last.Ronald K. Hanson (Stanford University)H-Index: 74
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#1Silvia Granata (Polytechnic University of Milan)H-Index: 5
#2T. Faravelli (Polytechnic University of Milan)H-Index: 43
Last.E. Ranzi (Polytechnic University of Milan)H-Index: 49
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#1Henry J. Curran (LLNL: Lawrence Livermore National Laboratory)H-Index: 59
#2P. Gaffuri (LLNL: Lawrence Livermore National Laboratory)H-Index: 4
Last.Charles K. Westbrook (LLNL: Lawrence Livermore National Laboratory)H-Index: 62
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#1Reinhard Seiser (UCSD: University of California, San Diego)H-Index: 14
#2K. Seshadri (UCSD: University of California, San Diego)H-Index: 28
Last.Amable Liñán (UPM: Technical University of Madrid)H-Index: 24
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#1Stephan Kruse (RWTH Aachen University)H-Index: 4
#2Achim Wick (RWTH Aachen University)H-Index: 2
Last.Heinz Pitsch (RWTH Aachen University)H-Index: 50
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#1Alan E. Long (MIT: Massachusetts Institute of Technology)H-Index: 2
#2Raymond L. Speth (MIT: Massachusetts Institute of Technology)H-Index: 13
Last.William H. Green (MIT: Massachusetts Institute of Technology)H-Index: 45
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#1Alan E. Long (MIT: Massachusetts Institute of Technology)H-Index: 2
#2Raymond L. Speth (MIT: Massachusetts Institute of Technology)H-Index: 13
Last.William H. Green (MIT: Massachusetts Institute of Technology)H-Index: 45
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#1S.M. Sarathy (KAUST: King Abdullah University of Science and Technology)H-Index: 26
#2Aamir Farooq (KAUST: King Abdullah University of Science and Technology)H-Index: 23
Last.Gautam Kalghatgi (Saudi Aramco)H-Index: 36
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#1Rui Zhang (Nanjing University of Science and Technology)H-Index: 2
#2Yifan Chen (Nanjing University of Science and Technology)H-Index: 2
Last.Dong Liu (Nanjing University of Science and Technology)H-Index: 18
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