文献类型：期刊文献

中文题名：催化重整 36 集总反应动力学模型开发

英文题名：Development of a 36-Lumped Reaction Kinetic Model for Catalytic Reforming

作者：Miao, Pengfei[1]; Jiang, Hongbo[1]; Chen, Yushi[2]; Yang, Caijuan[2]; Qiu, Tianzheng[1]; Zhao, Fanglei[2]

机构：[1] Research Institute of Petroleum Processing, East China University of Science and Technology, Shanghai, 200237, China; [2] Petro-CyberWorks Information Technology Co.，Ltd., Shanghai, 200050, China

年份：2026

卷号：42

期号：1

起止页码：174

外文期刊名：Shiyou Xuebao, Shiyou Jiagong/Acta Petrolei Sinica (Petroleum Processing Section)

收录：EI(收录号：20261520475257)

语种：中文

外文关键词：Aromatic compounds - Aromatization - Association reactions - Coke - Computation theory - Computational efficiency - Deposition - Gasoline - Kinetic parameters - Lumped parameter networks - Runge Kutta methods

摘要：Catalytic reforming is a critical process for the production of high-octane gasoline and aromatic compounds. This study focuses on an aromatic continuous reforming unit at a SINOPEC refinery. A kinetic model was developed based on the lumped theory，which includes 36 lumped components and 72 catalytic reforming reactions. A quasi-Newton algorithm was employed to estimate the reaction kinetic parameters，and the Runge-Kutta method was used to solve the model equations. The model was validated using four sets of industrial measurement data，and the results showed a high degree of consistency between the calculated and measured values. Additionally，the model is applied to analyze the distribution of lumped components，temperature profiles，pressure drops across reactors，and coke deposition along the catalyst bed. This study investigates the variation trends of dry gas and liquefied gas yields，C5+ liquid yield，aromatic yield，and coke deposition amount under different operating conditions. The model demonstrates high predictive accuracy and superior computational efficiency，providing valuable theoretical support for the optimization of aromatic continuous reforming processes. ? 2026 Editorial Office of Acta Petrolei Sinica. All rights reserved.