A catalyst acid property-included stoichiometric coefficient model for catalytic pyrolysis of hydrocarbon mixtures

催化作用 石油化工 热解 石脑油 化学计量学 碳氢化合物 产品分销 原材料 开裂 催化裂化 化学工程 化学 有机化学 材料科学 工程类
作者
Dongyang Liu,Hui Wang,Liang Zhao,Linzhou Zhang,Yuen Bai,Guohao Zhang,Jinsen Gao,Chunming Xu
出处
期刊:Chemical Engineering Science [Elsevier]
卷期号:277: 118839-118839 被引量:4
标识
DOI:10.1016/j.ces.2023.118839
摘要

Process modeling is considered an effective way to achieve refined management in the petrochemical industry, and is also the foundation and necessary link of intelligent chemical platform construction. This study aims to the simulation of the formation of gaseous products for the catalytic pyrolysis of representative naphtha compositions using a stoichiometric coefficient model. Firstly, the interaction mechanism of n/cyclo-paraffins was investigated using a pseudo-first-order kinetic model, and the cracking activity of hydrocarbon mixtures was quantified using the carbon number and cyclo-paraffin content. Subsequently, a database of the stoichiometric coefficients of the gaseous products was constructed. Considering the acid properties of the catalysts, a catalyst acid property-included stoichiometric coefficient model was developed to adapt to varying feedstock composition and catalyst systems, which could reflect gaseous production in the catalytic pyrolysis of multi-component mixed hydrocarbons. Moreover, the simulation using the present model shows that the production of light olefins in the catalytic pyrolysis of mixed hydrocarbons can be increased under the optimized catalyst acid properties. Hence, this study aims to provides theoretical guidance for the prediction of product distribution as well as the design and selection of catalysts used in the catalytic pyrolysis processes for multi-component mixed hydrocarbon.
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