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Predictive Skeletal Kinetic Model of Biodiesel Autoxidation
Navaneeth P. V
Published in American Chemical Society
2017
Volume: 31
   
Issue: 4
Pages: 4333 - 4342
Abstract
Gradual depletion of fossil fuels, growing environmental concerns, and global warming have shifted the focus to renewable liquid fuels, such as biodiesel. Biodiesel is reported to cause less emission and can be used in engines without much modification. Even though biodiesel fuels have promising combustion and emission characteristics for use in engines, their poor oxidation stability due to aging is an inhibiting factor for wider usage. In this paper, an autoxidation model for biodiesel fuels is proposed, considering their major fatty acid constituents. The proposed kinetic parameters are optimized using a genetic algorithm with the help of experimental data available in the literature. Temperature and fuel effects on the optimized rate parameters are studied. The proposed kinetics scheme is useful to predict the oxidation of fuel constituents with a fair degree of accuracy. The model also enables prediction of a useful engineering quantity, viz., induction period, to facilitate a priori evaluation of autoxidation characteristics of biodiesel fuel. © 2017 American Chemical Society.
About the journal
JournalData powered by TypesetEnergy and Fuels
PublisherData powered by TypesetAmerican Chemical Society
ISSN08870624
Open AccessNo
Concepts (18)
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    Engines
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    Fatty acids
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    Fossil fuels
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    Fuels
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    Genetic algorithms
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    Global warming
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    Kinetic parameters
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    Kinetics
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    Oxidation
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    Degree of accuracy
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    Emission characteristics
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    Environmental concerns
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    INDUCTION PERIODS
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    INHIBITING FACTORS
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    Kinetic modeling
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    OXIDATION STABILITY
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    RATE PARAMETERS
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    Biodiesel