文献类型：期刊文献

英文题名：Exergy analysis and multi-objective optimisation for energy system: a case study of a separation process in ethylene manufacturing

作者：Shen, Feifei[1];Wang, Meihong[1,2];Huang, Lingxiang[1];Qian, Feng[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Univ Sheffield, Dept Chem & Biol Engn, Sheffield S1 3JD, S Yorkshire, England

年份：2021

卷号：93

起止页码：394

外文期刊名：JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

收录：;EI(收录号：20204609483029);WOS:【SCI-EXPANDED(收录号:WOS:000594535000006)】；

基金：The work was supported by the National Natural Science Foundation of China (Basic Science Center Program: 61988101), International (Regional) Cooperation and Exchange Project (61720106008), and the National Natural Science Fund for Distinguished Young Scholars (61725301, 61925305). The first author of this article would like to acknowledge the financial support from the China Scholarship Council (No.201906740089).

语种：英文

外文关键词：Ethylene manufacturing; Separation process; Steady state simulation; Exergy analysis; Process optimisation

摘要：In chemical industry, most processes face the challenge of high energy consumption. The approach presented in this study can reduce the energy footprint and increase efficiency. The energy system of a separation process in ethylene manufacturing is used to demonstrate the effectiveness of the approach. The chilling train system of the separation process in a typical ethylene plant consumes most cooling and provides appropriate feed for distillation columns. The steady state simulation of system was presented and the simulation results were proved accurate. The conventional exergy analysis identifies that Dephlegmator No.1 (a heat exchange and mass transfer device) has the highest exergy destruction (1401.28 kW). Based on advanced exergy analysis, Dephlegmator No.1 has the highest rate of avoidable exergy destruction (89.04 %). Finally, a multi-objective optimisation aiming to maximise system exergy efficiency and to minimise operational cost was performed and the Pareto frontier was obtained. The multi-objective optimized exergy efficiency is 79.53 % (improved by 0.61 %) and the operational cost is 0.02031 yuan/kg (saved by 11.19 %). This study will guide future research to reduce energy consumption in process manufacturing. (C) 2020 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.