Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation

Zhengyu Chen; Xinhui Yao; Dong Guan; Suoqi Zhao; Linzhou Zhang; Chunming Xu

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Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation

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

- Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation
- Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation
- 中国化学工程学报（英文版） 2022年41卷第1期页码：301-310
- Affiliations：
  
  State Key Laboratory of Heavy Oil Processing, Petroleum Molecular Engineering Center (PMEC), China University of Petroleum,Beijing,China,102249
- Author bio：
- Funds：
- DOI：
  中图分类号：
- 纸质出版：2022
- Accepted：
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Zhengyu Chen, Xinhui Yao, Dong Guan, 等. Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation[J]. 中国化学工程学报（英文版）, 2022,41(1):301-310.

Zhengyu Chen, Xinhui Yao, Dong Guan, Suoqi Zhao, Linzhou Zhang, Chunming Xu. Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation[J]. Chinese Journal of Chemical Engineering, 2022, 41(1): 301-310.
Zhengyu Chen, Xinhui Yao, Dong Guan, 等. Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation[J]. 中国化学工程学报（英文版）, 2022,41(1):301-310. DOI：

Zhengyu Chen, Xinhui Yao, Dong Guan, Suoqi Zhao, Linzhou Zhang, Chunming Xu. Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation[J]. Chinese Journal of Chemical Engineering, 2022, 41(1): 301-310. DOI：

摘要

Abstract

In this work

a molecular-level kinetic model was built to simulate the vacuum residue (VR) coking process in a semi-batch laboratory-scale reaction kettle. A series of reaction rules for heavy oil coking were summarized and formulated based on the free radical reaction mechanism. Then

a large-scale molecularlevel reaction network was automatically generated by applying the reaction rules on the vacuum residue molecules. In order to accurately describe the physical change of each molecule in the reactor

we coupled the molecular-level kinetic model with a vapor–liquid phase separation model. The vapor–liquid phase separation model adopted the Peng-Robinson equation of state to calculate vapor–liquid equilibrium. A separation efficiency coefficient was introduced to represent the mass transfer during the phase separation. We used six sets of experimental data under various reaction conditions to regress the model parameters. The tuned model showed that there was an excellent agreement between the calculated values and experimental data. Moreover

we investigated the effect of reaction temperature and reaction time on the product yields. After a comprehensive evaluation of the reaction temperature and reaction time

the optimal reaction condition for the vacuum residue coking was also obtained.

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