详细信息

Molecular-Level-Process Model with Feedback of the Heat Effects on a Complex Reaction Network in a Fluidized Catalytic Cracking Process  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Molecular-Level-Process Model with Feedback of the Heat Effects on a Complex Reaction Network in a Fluidized Catalytic Cracking Process

作者:Liu, Jichang[1];Chen, Hua[1];Pi, Zhipeng[1];Liu, Yifeng[1];Sun, Hui[1];Shen, Benxian[1]

机构:[1]East China Univ Sci & Technol, State Key Lab Chem Engn, Shanghai 200237, Peoples R China

年份:2017

卷号:56

期号:13

起止页码:3568

外文期刊名:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

收录:;EI(收录号:20172203711776);WOS:【SCI-EXPANDED(收录号:WOS:000398764300008)】;

基金:Financial support by the National Natural Science Foundation of China (Project 21476082) and the Training Program of the Major Research Plan of the National Natural Science Foundation of China (Grant 91634112) is gratefully acknowledged.

语种:英文

外文关键词:Fluidization - Fluid catalytic cracking - Kinetic parameters - Complex networks - Cracks - Reaction kinetics - Feedback - Kinetic theory - Sols

摘要:A molecular-level-process model for a fluidized catalytic cracking process was developed. The work was aimed at the coarseness of the reaction network used in traditional lumping kinetic models. A feed-component matrix containing 14692 Molecules was generated using a structure-oriented lumping (SOL) method. A total of 95 groups of reaction rules were compiled, and 702943 reactions were involved. The SOL reaction kinetic model was combined with the reactor model to calculate the temperature distribution and feedback on the complex reaction network by taking into account the reaction heats in each reaction. The model was validated by the industrial data and predicted that the gasoline yield was >51% and the olefin content in gasoline was <24% at proper operation temperatures and catalyst/oil ratios. With the aid of the molecular-level model for the maximizing-isoparaffin technology, the product distribution and corresponding product quality can be controlled rationally by manipulating the operation conditions.

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