A new and efficient NLP formulation for synthesizing large scale multi-stream heat exchanger networks
发表时间：2019-11-07
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- 论文类型：
- 期刊论文
- 第一作者：
- Wu Xiao
- 通讯作者：
- Yao, PJ (reprint author), Dalian Univ Technol, Inst Proc Syst Engn, Dalian 116012, Peoples R China.
- 合写作者：
- Ping-Jing Yao,Xing Luo,Roetzel, Wilfried
- 发表时间：
- 2006-07-01
- 发表刊物：
- JOURNAL OF THE CHINESE INSTITUTE OF CHEMICAL ENGINEERS
- 收录刊物：
- SCIE、EI
- 文献类型：
- J
- 卷号：
- 37
- 期号：
- 4
- 页面范围：
- 383-394
- ISSN号：
- 0368-1653
- 关键字：
- stream heat transfer temperature difference contribution; pseudo-temperature; multi-stream heat exchanger network; nonlinear programming; genetic/simulated annealing algorithm
- 摘要：
- The heat exchanger network (HEN) synthesis. problem is generally formulated as a mixed integer nonlinear programming (MINLP) by using the concept of HEN superstructures. Although these MINLP formulations can be used to solve the HEN synthesis problem, the size of the problem of their application is restrained because of their complexity. In this study, a new nonlinear programming (NLP) formulation of the simultaneous model for multi-stream heat exchanger network (MSHEN) synthesis is proposed based on stream pseudo-temperature. This formulation can be used to solve MSHEN synthesis problem with temperature enthalpy (T-H) diagram method based on optimal stream heat transfer temperature difference contributions using genetic/simulated annealing algorithm (GA/SA). A significant reduction on the size and complexity of the problem is achieved by the NLP formulation. Large scale MSHEN synthesis problem with unequal heat transfer film coefficients and different construction materials can be solved using the NLP formulation. The performance and efficiency of the NLP formulation and algorithm are demonstrated through two examples.
- 是否译文：
- 否
