Indexed by:
期刊论文
First Author:
Wu Xiao
Correspondence Author:
Yao, PJ (reprint author), Dalian Univ Technol, Inst Proc Syst Engn, Dalian 116012, Peoples R China.
Co-author:
Ping-Jing Yao,Xing Luo,Roetzel, Wilfried
Date of Publication:
2006-07-01
Journal:
JOURNAL OF THE CHINESE INSTITUTE OF CHEMICAL ENGINEERS
Included Journals:
SCIE、EI
Document Type:
J
Volume:
37
Issue:
4
Page Number:
383-394
ISSN No.:
0368-1653
Key Words:
stream heat transfer temperature difference contribution;
pseudo-temperature; multi-stream heat exchanger network; nonlinear
programming; genetic/simulated annealing algorithm
Abstract:
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.
Translation or Not:
no
