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Detailed Kinetic Modeling for the Pyrolysis of a Jet A Surrogate

Author(s)
Vermeire, Florence H; Aravindakshan, Syam Ukkandath; Jocher, Agnes; Liu, Mengjie; Chu, Te-Chun; Hawtof, Ryan E; Van de Vijver, Ruben; Prendergast, Matthew B; Van Geem, Kevin M; Green, William H; ... Show more Show less
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Abstract
Fuel microchannels for regenerative cooling are receiving increased attention in advanced aviation technologies. Those microchannels allow heat integration between the endothermic cracking of the jet fuels and their subsequent combustion. In this work, a detailed elementary-step kinetic model is developed to gain insights in the cracking chemistry of a Jet A surrogate (n-dodecane, isooctane, n-propyl benzene, and 1,3,5-trimethylbenzene), which allows for further optimization of those aviation technologies. A dedicated procedure is described for the automated generation of kinetic models for multi-component mixtures with the open-source Reaction Mechanism Generator (RMG) software. The full kinetic model is validated against experimental measurements in multiple reactor geometries, at various experimental conditions, including both a surrogate mixture and commercial Jet A. The experimental data includes new experimental measurements for the pyrolysis of a Jet A surrogate in a tubular reactor with detailed product analysis using comprehensive 2D GC. The good performance of the kinetic model for data from a broad range of experimental conditions demonstrates the advantage of a kinetic model with detailed chemistry against empirical kinetic models that are limited in their applicability range. Further analysis of the important chemistry in the kinetic model shows that it is essential to account for cross-reactions between the different surrogate components.
Date issued
2022-01-20
URI
https://hdl.handle.net/1721.1/159981
Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Journal
Energy & Fuels
Publisher
American Chemical Society
Citation
Florence H. Vermeire, Syam Ukkandath Aravindakshan, Agnes Jocher, Mengjie Liu, Te-Chun Chu, Ryan E. Hawtof, Ruben Van de Vijver, Matthew B. Prendergast, Kevin M. Van Geem, and William H. Green. Energy & Fuels 2022 36 (3), 1304-1315.
Version: Author's final manuscript

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