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    Prediction of Auto Ignition Temperatures and Delays for Gas Turbine Applications

    Source: Journal of Engineering for Gas Turbines and Power:;2016:;volume( 138 ):;issue: 002::page 21505
    Author:
    Bounaceur, Roda
    ,
    Glaude, Pierre
    ,
    Sirjean, Baptiste
    ,
    Fournet, Renأ©
    ,
    Montagne, Pierre
    ,
    Vierling, Matthieu
    ,
    Moliأ¨re, Michel
    DOI: 10.1115/1.4031264
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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 autoignition 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 autoignition data of hydrocarbon–air mixtures at elevated pressures are scarce and often not applicable in specific industrial conditions. Autoignition 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 autoignition 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 processderived fuels were extensively covered. In particular, among alternative gas turbine fuels, hydrogenrich 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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      Prediction of Auto Ignition Temperatures and Delays for Gas Turbine Applications

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    https://yetl.yabesh.ir/yetl1/handle/yetl/160994
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    contributor authorBounaceur, Roda
    contributor authorGlaude, Pierre
    contributor authorSirjean, Baptiste
    contributor authorFournet, Renأ©
    contributor authorMontagne, Pierre
    contributor authorVierling, Matthieu
    contributor authorMoliأ¨re, Michel
    date accessioned2017-05-09T01:28:04Z
    date available2017-05-09T01:28:04Z
    date issued2016
    identifier issn1528-8919
    identifier othergtp_138_02_021505.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160994
    description abstractGas 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 autoignition 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 autoignition data of hydrocarbon–air mixtures at elevated pressures are scarce and often not applicable in specific industrial conditions. Autoignition 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 autoignition 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 processderived fuels were extensively covered. In particular, among alternative gas turbine fuels, hydrogenrich 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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePrediction of Auto Ignition Temperatures and Delays for Gas Turbine Applications
    typeJournal Paper
    journal volume138
    journal issue2
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4031264
    journal fristpage21505
    journal lastpage21505
    identifier eissn0742-4795
    treeJournal of Engineering for Gas Turbines and Power:;2016:;volume( 138 ):;issue: 002
    contenttypeFulltext
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