文献类型：期刊文献

英文题名：Improved distributed optimization algorithm and its application in energy saving of ethylene plant

作者：Wang, Ting[1];Ye, Zhencheng[1];Wang, Xinjie[1];Li, Zhongmei[1];Du, Wenli[1,2]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai, Peoples R China;[2]Tongji Univ, Shanghai Inst Intelligent Sci & Technol, Shanghai, Peoples R China

年份：2022

卷号：251

外文期刊名：CHEMICAL ENGINEERING SCIENCE

收录：;EI(收录号：20220711625390);WOS:【SCI-EXPANDED(收录号:WOS:000819821400007)】；

基金：The authors acknowledge the supports from National Natural Science Foundation of China (Basic Science Center Program: 61988101), National Natural Science Fund for Distinguished Young Scholars (61725301), International (Regional) Cooperation and Exchange Project(61720106008) and National Natural Science Foundation of China (61890930-3,62073142).

语种：英文

外文关键词：Distributed optimization; Adaptive step-sizes; Projection operation; Ethylene plant-wide optimization

摘要：This paper investigates an energy optimization problem for ethylene production process without system dynamics. Fundamentally different from the conventional centralized optimization strategies, the energy optimization in the ethylene production process is transformed into a distributed optimization problem with input constraints due to multiple interconnected units involved. Based on the combination of consensus mechanism and gradient tracking technique, a distributed algorithm with adaptive step-sizes is derived to optimize the coil outlet temperature (COT) and steam hydrocarbon ratio (SHR) in the thermal cracking process as well as the temperature and duty in the product separation process. Besides, considering the mechanism limitation, a projection operation is adopted to deal with input constraints. The experimental results show that the proposed distributed algorithm is superior to the centralized method in terms of computational efficiency and robustness with a faster convergence speed. (C) 2022 Elsevier Ltd. All rights reserved.