An efficient two-step optimization method for mass exchanger network synthesis. (5th June 2023)

• Record Type: Journal Article
• Authors: Xu, Yue; Cui, Guomin; Shen, Shuqi; Xiao, Yuan; Zhang, Guanhua; Yang, Qiguo
• Is Part Of: Chemical engineering science. Volume 273(2023)
• Publication Date: 2023-06-05
• Subjects: Mass exchanger network -- Heat exchanger network -- Nodes-based non-structural model -- Model parameter optimization -- Non-convex nature; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2023.118631
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: A new separation technology is applied in process integration system. Two variant of non-structural models are adapted in the mass exchanger network system. The advantages of two variant models are analyzed. A two-step optimization approach for mass exchanger network synthesis is proposed. Abstract: Mass exchanger networks have been considered a promising solution for reducing impurity in streams and maximizing energy recovery in the chemical industry. This paper adjusts two non-structural models with distinct optimization variables and a heuristic algorithm according to the MEN synthesis characteristics. Considering the requirement of the objective function, a two-step optimization method that combines these two models is proposed. In the first step, a feasible solution is determined by the model using the transferred mass as an optimization variable. In the second step, the aforementioned model is employed to maximize tray utilization by adopting the tray number as an optimization variable. The results of the two cases obtained by the proposed method are 406, 330 $/yr and 329, 326 $/yr, which are lower than the published results, and is verified on two cases regarding quality and efficiency.