Gas turbines burn a large variety of gaseous fuels under elevated pressure and temperature conditions. During transient operations, variable gas/air mixtures are involved in the gas piping system. In order to predict the risk of auto-ignition events and ensure a safe operation of gas turbines, it is of the essence to know the lowest temperature at which spontaneous ignition of fuels may happen. Experimental auto-ignition data of hydrocarbon–air mixtures at elevated pressures are scarce and often not applicable in specific industrial conditions. Auto-ignition temperature (AIT) data correspond to temperature ranges in which fuels display an incipient reactivity, with timescales amounting in seconds or even in minutes instead of milliseconds in flames. In these conditions, the critical reactions are most often different from the ones governing the reactivity in a flame or in high temperature ignition. Some of the critical paths for AIT are similar to those encountered in slow oxidation. Therefore, the main available kinetic models that have been developed for fast combustion are unfortunately unable to represent properly these low temperature processes. A numerical approach addressing the influence of process conditions on the minimum AIT of different fuel/air mixtures has been developed. Several chemical models available in the literature have been tested, in order to identify the most robust ones. Based on previous works of our group, a model has been developed, which offers a fair reconciliation between experimental and calculated AIT data through a wide range of fuel compositions. This model has been validated against experimental auto-ignition delay times corresponding to high temperature in order to ensure its relevance not only for AIT aspects but also for the reactivity of gaseous fuels over the wide range of gas turbine operation conditions. In addition, the AITs of methane, of pure light alkanes, and of various blends representative of several natural gas and process-derived fuels were extensively covered. In particular, among alternative gas turbine fuels, hydrogen-rich gases are called to play an increasing part in the future so that their ignition characteristics have been addressed with particular care. Natural gas enriched with hydrogen, and different syngas fuels have been studied. AIT values have been evaluated in function of the equivalence ratio and pressure. All the results obtained have been fitted by means of a practical mathematical expression. The overall study leads to a simple correlation of AIT versus equivalence ratio/pressure.
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February 2016
Research-Article
Prediction of Auto-Ignition Temperatures and Delays for Gas Turbine Applications
Roda Bounaceur,
Roda Bounaceur
LRGP, CNRS,
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
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Pierre-Alexandre Glaude,
Pierre-Alexandre Glaude
LRGP, CNRS,
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
e-mail: pierre-alexandre.glaude@univ-lorraine.fr
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
e-mail: pierre-alexandre.glaude@univ-lorraine.fr
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Baptiste Sirjean,
Baptiste Sirjean
LRGP, CNRS,
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
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René Fournet,
René Fournet
LRGP, CNRS,
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
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Pierre Montagne,
Pierre Montagne
GE Energy Product-Europe,
20 Avenue de Maréchal Juin, BP 379,
Belfort 90007, France
20 Avenue de Maréchal Juin, BP 379,
Belfort 90007, France
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Matthieu Vierling,
Matthieu Vierling
GE Energy Product-Europe,
20 Avenue de Maréchal Juin, BP 379,
Belfort 90007, France
20 Avenue de Maréchal Juin, BP 379,
Belfort 90007, France
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Michel Molière
Michel Molière
IRTES-LERMPS,
Université de Technologie
de Belfort Montbéliard,
Belfort Cedex 90010, France
Université de Technologie
de Belfort Montbéliard,
Belfort Cedex 90010, France
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Roda Bounaceur
LRGP, CNRS,
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
Pierre-Alexandre Glaude
LRGP, CNRS,
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
e-mail: pierre-alexandre.glaude@univ-lorraine.fr
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
e-mail: pierre-alexandre.glaude@univ-lorraine.fr
Baptiste Sirjean
LRGP, CNRS,
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
René Fournet
LRGP, CNRS,
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
Université de Lorraine,
1, Rue Grandville, BP 20451,
Nancy 54001, France
Pierre Montagne
GE Energy Product-Europe,
20 Avenue de Maréchal Juin, BP 379,
Belfort 90007, France
20 Avenue de Maréchal Juin, BP 379,
Belfort 90007, France
Matthieu Vierling
GE Energy Product-Europe,
20 Avenue de Maréchal Juin, BP 379,
Belfort 90007, France
20 Avenue de Maréchal Juin, BP 379,
Belfort 90007, France
Michel Molière
IRTES-LERMPS,
Université de Technologie
de Belfort Montbéliard,
Belfort Cedex 90010, France
Université de Technologie
de Belfort Montbéliard,
Belfort Cedex 90010, France
1Corresponding author.
Contributed by the Combustion and Fuels Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 17, 2015; final manuscript received July 20, 2015; published online September 1, 2015. Editor: David Wisler.
J. Eng. Gas Turbines Power. Feb 2016, 138(2): 021505 (7 pages)
Published Online: September 1, 2015
Article history
Received:
July 17, 2015
Revision Received:
July 20, 2015
Citation
Bounaceur, R., Glaude, P., Sirjean, B., Fournet, R., Montagne, P., Vierling, M., and Molière, M. (September 1, 2015). "Prediction of Auto-Ignition Temperatures and Delays for Gas Turbine Applications." ASME. J. Eng. Gas Turbines Power. February 2016; 138(2): 021505. https://doi.org/10.1115/1.4031264
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