文献类型：期刊文献

中文题名：乙烯精馏塔开车动态建模与优化

英文题名：Dynamic Simulation and Optimization of Ethylene Distillation Column in Startup Process

作者：叶贞成[1];顾健星[1]

机构：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237

年份：2019

卷号：45

期号：2

起止页码：231

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;Scopus;北大核心:【北大核心2017】；CSCD:【CSCD_E2019_2020】；

基金：国家自然科学基金重点项目(61333010);国家自然科学基金青年项目(21506050);国际(地区)合作与交流项目(61720106008)

语种：中文

中文关键词：精馏塔;开车操作;节能降耗;进化算法

外文关键词：distillation column;startup operation;energy saving;evolutionary algorithm

摘要：乙烯精馏塔是乙烯装置的关键低温耗能设备之一,其开车过程中的动态特性和节能策略少有报道。本文以Aspen HYSYS和MATLAB为建模平台,结合工业装置开车及稳态运行数据,完成了对乙烯塔的稳态、动态建模和模型验证。在此基础上,采用FROFI进化算法对开车策略进行了优化研究,得到了比原工业方案更好的开车策略,实现了开车节能25%,为指导乙烯塔在开车过程的节能降耗提供了理论基础。
Ethylene distillation column (EDC) is one of key low-temperature and energy-consuming equipment in ethylene plant and its operating status have direct effects on the quality of products.In the past decades,most of studies have been focused on the modeling and simulation of EDC and few works have been reported about how the EDC operates during its startup process.Even in the summary of industrial startup experience,there has rarely been deep analysis on EDC individually.Therefore,this work is aiming at analyzing the dynamic characteristics of EDC and optimizing its startup operation strategy (SUOS).Firstly,both the steady and dynamic model of EDC will be built through Aspen HYSYS.Historical data in industry is then used to verify the simulation results.And then,some more tests will be applied to illustrate that the trend of system response and the range of time-delay are both close to the facts.By adding frequent disturbances from random changes of feed flowrate,the proposed control scheme can achieve a good stability performance.Moreover,in order to attain better reflection of real case,the dynamic modeling is integrated with the SUOS programmed in MATLAB to implement the EDC industrial startup process.According to the industrial specifications,EDC startup procedure must be separated into two parts,i.e.,total-reflux operation (TRO) and start-up operation (SUO).TRO and SUO could be privately divided into discontinuous and semi-continuous stage according to dynamic performance of hydraulic and thermodynamic variables.Finally,a time-constrained optimization problem (TCOP),in which the way of adjusting reflux flowrate is connected with energy consumption,will be proposed during TRO.An evolutionary algorithm,termed as the feasibility rule with the incorporation of objective function information (FROFI),is utilized to solve this TCOP problem.Experimental results show that compared with initial process,the proposed method can save 25%energy and could provide effectively theoretical guidance for the energy-saving potential during real EDC startup process.