A molecular kinetic model incorporating catalyst acidity for hydrocarbon catalytic cracking

被引:4
作者
Chen, Zhengyu [1 ]
Lyu, Wenjin [1 ]
Wang, Ruipu [1 ]
Li, Yuming [1 ]
Xu, Chunming [1 ]
Jiang, Guiyuan [1 ]
Zhang, Linzhou [1 ]
机构
[1] China Univ Petr, Petr Mol Engn Ctr PMEC, State Key Lab Heavy Oil Proc, Beijing 102249, Peoples R China
基金
中国国家自然科学基金;
关键词
catalyst acidity; catalyst design; catalytic cracking; kinetic model; POLYNUCLEAR AROMATIC-HYDROCARBONS; PERFORMANCE; HYDROGENATION; SIMULATION; GENERATION; REACTIVITY; HZSM-5;
D O I
10.1002/aic.18060
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 58 条
[1]   Molecular Kinetic Modeling of Catalytic Naphtha Reforming: A Review of Complexities and Solutions [J].
Ali, Syed A. ;
Alshareef, Ali H. ;
Theravalappil, Rajesh ;
Alasiri, Hassan S. ;
Hossain, Mohammad M. .
CATALYSIS REVIEWS-SCIENCE AND ENGINEERING, 2023, 65 (04) :1358-1411
[2]   Stochastic Modeling and Simulation Approach for Industrial Fixed Bed Hydrocrackers [J].
Alvarez-Majmutov, Anton ;
Chen, Jinwen .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2017, 56 (24) :6926-6938
[3]   Hydrotreatment modeling for a variety of VGO feedstocks: A continuous lumping approach [J].
Becker, Per Julian ;
Celse, Benoit ;
Guillaume, Denis ;
Dulot, Hugues ;
Costa, Victor .
FUEL, 2015, 139 :133-143
[4]   COMPUTER-GENERATED PYROLYSIS MODELING - ON-THE-FLY GENERATION OF SPECIES, REACTIONS, AND RATES [J].
BROADBELT, LJ ;
STARK, SM ;
KLEIN, MT .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1994, 33 (04) :790-799
[5]   Systematic performance evaluation of gasoline molecules based on quantitative structure-property relationship models [J].
Cai, Guangqing ;
Liu, Zhefu ;
Zhang, Linzhou ;
Shi, Quan ;
Zhao, Suoqi ;
Xu, Chunming .
CHEMICAL ENGINEERING SCIENCE, 2021, 229
[6]   Molecular reconstruction model based on structure oriented lumping and group contribution methods [J].
Chen, Jincai ;
Fang, Zhou ;
Qiu, Tong .
CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2018, 26 (08) :1677-1683
[7]  
Chen Z., 2022, CHEM ENG J, V437
[8]  
Chen Z., 2022, CHEM ENG SCI, V249
[9]   Vacuum residue coking process simulation using molecular-level kinetic model coupled with vapor-liquid phase separation [J].
Chen, Zhengyu ;
Yao, Xinhui ;
Guan, Dong ;
Zhao, Suoqi ;
Zhang, Linzhou ;
Xu, Chunming .
CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2022, 41 :301-310
[10]   Molecular-level kinetic modeling of heavy oil fluid catalytic cracking process based on hybrid structural unit and bond-electron matrix [J].
Chen, Zhengyu ;
Feng, Song ;
Zhang, Linzhou ;
Wang, Gang ;
Shi, Quan ;
Xu, Zhiming ;
Zhao, Suoqi ;
Xu, Chunming .
AICHE JOURNAL, 2021, 67 (01)