A new generic reaction for modeling fluid catalytic cracking risers

Yong Li; Jizheng Chu; Jiarui Zhang

doi:10.1016/j.cjche.2017.01.006

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A new generic reaction for modeling fluid catalytic cracking risers

Catalysis, Kinetics and Reaction Engineering | Updated：2026-01-06

- A new generic reaction for modeling fluid catalytic cracking risers
- Chinese Journal of Chemical Engineering Vol. 25, Issue 10, Pages: 1449-1460(2017)
- Affiliations：
  
  College of Information Science and Technology, Beijing University of Chemical Technology,Beijing,China,100029
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2017.01.006
  CLC：
- Published：2017
- Accepted：
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Yong Li, Jizheng Chu, Jiarui Zhang. A new generic reaction for modeling fluid catalytic cracking risers[J]. , 2017, 25(10): 1449-1460.
DOI：

Yong Li, Jizheng Chu, Jiarui Zhang. A new generic reaction for modeling fluid catalytic cracking risers[J]. , 2017, 25(10): 1449-1460. DOI： 10.1016/j.cjche.2017.01.006.

摘要

Abstract

A new generic reaction in the form of PC

→ PC

+[i

]

→ PC

+ λ

coke + surplusage has been proposed for describing the catalytic cracking behavior of petroleum narrow cuts or pseudo-components (PCs)

where the rate constant formula is derived from the transition state theory and the coking amount is correlated to the properties of the intermediate substance[i

]

. In composing the cracking reaction network for feedstock and product oils

only the product PC

of the proposed generic reaction is used

which together with a criterion for excluding exothermic reactions

distinctly reduces the number of reactions in the network. With the proposed cracking reaction scheme coupled with special pseudo-components

a predictive one-dimensional steady state model for fluid catalytic cracking risers is formulated in the sense that for a given riser and given catalyst

the model parameters are independent of stock oils

product schemes and other operational conditions. The great correlating and predicting capability of the resulted model is tested with production data in different scenarios of four commercial risers

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