Toward Predictive Modeling of Petroleum and Biobased Fuel Stability: Kinetics of Methyl Oleate/n‑Dodecane Autoxidation

• Published in: Energy & fuels Vol. 27; no. 10; pp. 6125 - 6133
• Main Authors: Ben Amara, Arij, Nicolle, André, Alves-Fortunato, Maira, Jeuland, Nicolas
• Format: Journal Article
• Language: English
• Published: American Chemical Society 17.10.2013
• Subjects: Autoxidation; Blends; Fuel systems; Fuels; Mathematical models; Oxidation; Reaction kinetics; Stability
• ISSN: 0887-0624; 1520-5029
• DOI: 10.1021/ef401360k

Because of the recent changes in the formulation and handling of middle-distillate fuels, oxidation stability is becoming an increasingly important issue. However, liquid-phase oxidation kinetics of middle-distillate fuels remains poorly understood. The purpose of this study was to gain an in-depth understanding of the impact of fatty acid methyl ester (FAME) addition on autoxidation kinetics. A detailed kinetic mechanism for the autoxidation of a n-dodecane/methyl oleate (MO) surrogate mixture was generated and validated against original well-controlled accelerated oxidation experiments. Results emphasize the nonlinear oxidation promoting effect of MO on n-dodecane autoxidation. Pathway analyses reveal that HO2 and OH propagation steps as well as the duration of initiation and propagation phases strongly affected sensitivity analysis by MO addition. On the basis of these analyses and the detailed mechanism, an analytical model was derived and validated against experiments on binary surrogate mixtures as well as blends of conventional commercial fuels and FAME. These results open up the use of bottom-up liquid-phase oxidation modeling strategies for the in silico formulation of alternative fuels and the design of innovative injection fuel systems.