A molecular kinetic model incorporating catalyst acidity for hydrocarbon catalytic cracking

This work built a molecular‐level kinetic model for hydrocarbon catalytic cracking, incorporating the catalyst acidity as the parameter to estimate reaction rates. The n‐decane and 1‐hexene co‐conversion catalytic cracking process was chosen as the studying case. The molecular reaction network was a...

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Veröffentlicht in:AIChE journal 2023-07, Vol.69 (7), p.n/a
Hauptverfasser: Chen, Zhengyu, Lyu, Wenjin, Wang, Ruipu, Li, Yuming, Xu, Chunming, Jiang, Guiyuan, Zhang, Linzhou
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Sprache:eng
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Zusammenfassung:This work built a molecular‐level kinetic model for hydrocarbon catalytic cracking, incorporating the catalyst acidity as the parameter to estimate reaction rates. The n‐decane and 1‐hexene co‐conversion catalytic cracking process was chosen as the studying case. The molecular reaction network was automatically generated using a computer‐aided algorithm. A modified linear free energy relationship was proposed to estimate the activation energy in a complex reaction system. The kinetic parameters were initially regressed from the experimental data under several reaction conditions. On this basis, the product composition was evaluated for three catalytic cracking catalysts with different Si/Al. The Bronsted acid and Lewis acid as the key catalyst properties were correlated with kinetic parameters. The built model can calculate the product distribution, gasoline composition, and molecular distribution at different reaction conditions for different catalysts. This sensitive study shows that it will facilitate the model‐based optimization of catalysts and reaction conditions according to product demands.
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.18060