文献类型：期刊文献

英文题名：Multi-stage stochastic programming for integrated optimization of ethylene production processes and utility systems under uncertainty

作者：Zhao, Liang[1];Rong, Jiyun[1];Ma, Guofu[1];Liang, Chen[1];Long, Jian[1,2]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Smart Mfg Energy Chem Proc, Shanghai 20237, Peoples R China;[2]East China Univ Sci & Technol, Minist Educ, Engn Res Ctr Proc Syst Engn, Shanghai 20237, Peoples R China

年份：2025

卷号：320

外文期刊名：ENERGY

收录：;EI(收录号：20251017996633);WOS:【SCI-EXPANDED(收录号:WOS:001442481800001)】；

基金：The work was supported by National Natural Science Foundation of China, China (62394343, 22178103, 62373154, 62373155) and Fundamental Research Funds for the Central Universities, China.

语种：英文

外文关键词：Integrated optimization; Multi-stage stochastic programming; Uncertainty set; Wasserstein generative adversarial network; Energy efficiency

摘要：Multiple time-scale uncertainties in equipment efficiency, process demand, and steam prices pose significant challenges to the modeling and optimization of ethylene production processes and utility systems. This paper introduces a novel multi-stage stochastic programming (MSSP) framework that integrates advanced linearization techniques and data augmentation via a Wasserstein generative adversarial network (WGAN), providing a robust solution for improving energy conversion efficiency and optimizing ethylene production processes with utility systems under uncertainty. A three-stage stochastic programming model addresses the impacts of uncertainties across different time scales. Nonlinear terms in the model are linearized using the McCormick envelope method to simplify the solution process, and a WGAN generates simulated data to augment the dataset. The effectiveness of the proposed method was validated in a real-world ethylene plant case study, where optimization results showed a 3.9 % increase in net profit, a 3.5 % increase in ethylene yield, and a 6.5 % decrease in the cost of the utility system compared to traditional methods.