Kinetic modeling with automatic reaction network generator, an application to naphtha steam cracking

Yu Ren, Gaoshun Guo, Zuwei Liao, Yao Yang, Jingyuan Sun, Binbo Jiang, Jingdai Wang and Yongrong Yang

Energy, 2020, vol. 207, issue C

Abstract: Accurate process simulation models of naphtha steam cracking are significant for improving product yields, reducing energy consumption, and process control. However, the complete mechanistic model for steam cracking of naphtha feedstock is not available in the literature. It is a challenging task to build large-scale detailed kinetic models of such complex mixtures. The application of automatic reaction network generation is a possible way to solve this problem efficiently. An open-source automatic reaction network generator RMG is used to construct the detailed mechanistic model of naphtha steam cracking. A step-by-step construction methodology that starts with automatic reaction network generation for a single hydrocarbon and then merges reaction networks of all considered hydrocarbons according to specific merging rules is proposed. The final merged model contains 1947 species and 82130 reactions. The pyrolysis of n-decane in the literature and a set of naphtha steam cracking experiments are used to verify the accuracy of the generated reaction network for single hydrocarbon and naphtha mixture, respectively. The results show that the simulated yields of major products are in overall agreement with experiments, and the deviations of minor products are within an acceptable range.

Keywords: Kinetic modeling; Automatic generator; Naphtha; Steam cracking (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:207:y:2020:i:c:s0360544220313116

DOI: 10.1016/j.energy.2020.118204

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