文献类型：期刊文献

英文题名：Integrated Dual-Production Mode Modeling and Multiobjective Optimization of an Industrial Continuous Catalytic Naphtha Reforming Process

作者：Wei, Min[1];Yang, Minglei[1];Qian, Feng[1];Du, Wenli[1];Zhong, Weimin[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2016

卷号：55

期号：19

起止页码：5714

外文期刊名：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

收录：;EI(收录号：20162202449575);WOS:【SCI-EXPANDED(收录号:WOS:000376331900027)】；

基金：This work was supported by National Natural Science Foundation of China (61333010, 61590923, 61422303, and 21403066) and "Shu Guang" project supported by Shanghai Municipal Education Commission and Shanghai Education Development Foundation.

语种：英文

外文关键词：Aromatic compounds - Reaction kinetics - Catalytic reforming - Naphthas - Multiobjective optimization - Stochastic models

摘要：Catalytic naphtha reforming is a key process both in refineries and in the production of aromatic compounds. However, the characteristics of dual-production modes render the process model difficult to adapt to changing production needs. Because catalytic naphtha reforming has a complicated reaction mechanism along with multiple operation variables and objectives, its optimization is challenging. We herein report the modeling and optimization steps employed to resolve these issues. A detailed continuous catalytic regenerative (CCR) reforming process model was established, integrating the reaction kinetic model, reactor model, heater model, compressor model, and separator model. On the basis of the CCR model, multiobjective optimizations were performed, and a hierarchical structure of stochastic algorithm was proposed, thus reducing computation costs during model calculations. Three multiobjective optimization problems were solved using the proposed algorithm, with these cases being based on refinery production, the production of aromatic compounds, and energy conservation. Optimization results were consistent with the industrial process and identified improvements through tuning the key operational parameters, such as inlet temperature, pressure, and hydrogen-to-oil molar ratio. Optimal operating points were also listed for different requirements of the reforming process.