Koninckx E, Colin JG, Broadbelt LJ, Vernuccio S. Catalytic Conversion of Alkenes on Acidic Zeolites: Automated Generation of Reaction Mechanisms and Lumping Technique.
ACS ENGINEERING AU 2022;
2:257-271. [PMID:
35781936 PMCID:
PMC9242524 DOI:
10.1021/acsengineeringau.2c00004]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/17/2022] [Accepted: 03/18/2022] [Indexed: 11/29/2022]
Abstract
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Acid-catalyzed hydrocarbon
transformations are essential for industrial
processes, including oligomerization, cracking, alkylation, and aromatization.
However, these chemistries are extremely complex, and computational
(automatic) reaction network generation is required to capture these
intricacies. The approach relies on the concept that underlying mechanisms
for the transformations can be described by a limited number of reaction
families applied to various species, with both gaseous and protonated
intermediate species tracked. Detailed reaction networks can then
be tailored to each industrially relevant process for better understanding
or for application in kinetic modeling, which is demonstrated here.
However, we show that these networks can grow very large (thousands
of species) when they are bound by typical carbon number and rank
criteria, and lumping strategies are required to decrease computational
expense. For acid-catalyzed hydrocarbon transformations, we propose
lumping isomers based on carbon number, branch number, and ion position
to reach high carbon limits while maintaining the high resolution
of species. Two case studies on propene oligomerization verified the
lumping technique in matching a fully detailed model as well as experimental
data.
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