文献类型：期刊文献

中文题名：Real-Time Optimization Model for Continuous Reforming Regenerator

英文题名：Real-Time Optimization Model for Continuous Reforming Regenerator

作者：Jiang Shubao[1,2];Jiang Hongbo[1,2];Li Zhenming[1,2];Tian Jianhui[3]

机构：[1]East China Univ Sci & Technol, Res Inst Petr Proc, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Int Joint Res Ctr Green Energy Chem Engn, Shanghai 200237, Peoples R China;[3]Petrocyber Works Informat Technol Co Ltd, Beijing 100007, Peoples R China

年份：2021

卷号：23

期号：3

起止页码：90

中文期刊名：China Petroleum Processing & Petrochemical Technology

外文期刊名：CHINA PETROLEUM PROCESSING & PETROCHEMICAL TECHNOLOGY

收录：;Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000734178800009)】；

基金：This work was supported by the Science and Technology Development Project of SINOPEC, China (No. 319026) .

语种：英文

中文关键词：catalytic reforming regenerator;kinetics;model;orthogonal collocation method;real-time optimization

外文关键词：catalytic reforming regenerator; kinetics; model; orthogonal collocation method; real-time optimization

摘要：An approach for the simulation and optimization of continuous catalyst-regenerative process of reforming is proposed in this paper.Compared to traditional method such as finite difference method,the orthogonal collocation method is less time-consuming and more accurate,which can meet the requirement of real-time optimization(RTO).In this paper,the equation-oriented method combined with the orthogonal collocation method and the finite difference method is adopted to build the RTO model for catalytic reforming regenerator.The orthogonal collocation method was adopted to discretize the differential equations and sequential quadratic programming(SQP)algorithm was used to solve the algebraic equations.The rate constants,active energy and reaction order were estimated,with the sum of relative errors between actual value and simulated value serving as optimization objective function.The model can quickly predict the fields of component concentration,temperature and pressure inside the regenerator under different conditions,as well as the real-time optimized conditions for industrial reforming regenerator.
An approach for the simulation and optimization of continuous catalyst-regenerative process of reforming is proposed in this paper. Compared to traditional method such as finite difference method, the orthogonal collocation method is less time-consuming and more accurate, which can meet the requirement of real-time optimization (RTO). In this paper, the equation-oriented method combined with the orthogonal collocation method and the finite difference method is adopted to build the RTO model for catalytic reforming regenerator. The orthogonal collocation method was adopted to discretize the differential equations and sequential quadratic programming (SQP) algorithm was used to solve the algebraic equations. The rate constants, active energy and reaction order were estimated, with the sum of relative errors between actual value and simulated value serving as optimization objective function. The model can quickly predict the fields of component concentration, temperature and pressure inside the regenerator under different conditions, as well as the real-time optimized conditions for industrial reforming regenerator.