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基于流股虚拟温度综合大规模多流股换热器网络
引用本文:肖武,董宏光,李欣强,姚平经,罗行,Wilfried Roetzel.基于流股虚拟温度综合大规模多流股换热器网络[J].中国化学工程学报,2006,14(5):574-583.
作者姓名:肖武  董宏光  李欣强  姚平经  罗行  Wilfried Roetzel
作者单位:大连理工大学;大连理工大学;大连理工大学;大连理工大学
基金项目:Supported by the Deutsche Forschungsgemeinschaft (DFG No.R0 294/9). The authors acknowledge the contribution of Dr. Wei Guanfeng to GA/SA procedure.
摘    要:Effective temperature level of stream, namely stream pseudo temperature, is determined by its actual temperature and heat transfer temperature difference contribution value. Heat transfer temperature difference contribution value of a stream depends on its heat transfer film coefficient, cost per unit heat transfer area, actual temperature, and so on. In the determination of the suitable heat transfer temperature difference contribution values of the stream, the total annual cost of multistream heat exchanger network (MSHEN) is regarded as an objective function, and genetic/simulated annealing algorithm (GA/SA) is adopted for optimizing the heat transfer temperature difference contribution values of the stream. The stream pseudo temperatures are subsequently obtained. On the basis of stream pseudo temperature, optimized MSHEN can be attained by the temperature-enthalpy (T-H) diagram method. This approach is characterized with fewer decision variables and higher feasibility of solutions. The calculation efficiency of GA/SA can be remarkably enhanced by this approach and more probability is shown in searching the global optimum solution. Hence this approach is presented for solving industrial-sized MSHEN which is difficult to deal by traditional algorithm. Moreover, in the optimization of stream heat transfer temperature difference contribution values, the effects of the stream temperature, the heat transfer film coefficient, and the construction material of heat exchangers are considered, therefore this approach can be used to optimize and design heat exchanger network (HEN) with unequal heat transfer film coefficients and different of construction materials. The performance of the proposed approach has been demonstrated with three examples and the obtained solutions are compared with those available in literatures. The results show that the large-scale MSHEN synthesis problems can be solved to obtain good solutions with the modest computational effort.

关 键 词:虚拟温度  多流股换热器  遗传算法  模拟退火
收稿时间:2005-09-01
修稿时间:2005-09-012006-03-30

Synthesis of Large-scale Multistream Heat Exchanger Networks Based on Stream Pseudo Temperature
XIAOWu,DONGHongguang,LIXinqiang,YAOPingjing,LUOXing,WilfriedRoetzel.Synthesis of Large-scale Multistream Heat Exchanger Networks Based on Stream Pseudo Temperature[J].Chinese Journal of Chemical Engineering,2006,14(5):574-583.
Authors:XIAOWu  DONGHongguang  LIXinqiang  YAOPingjing  LUOXing  WilfriedRoetzel
Affiliation:a. Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China; b. Institute of Thermodynamics, University of the Federal Armed Forces Hamberg, Hamberg D-22039, Germany
Abstract:Effective temperature level of stream, namely stream pseudo temperature, is determined by its actual temperature and heat transfer temperature difference contribution value. Heat transfer temperature difference contribution value of a stream depends on its heat transfer film coefficient, cost per unit heat transfer area, actual temperature, and so on. In the determination of the suitable heat transfer temperature difference contribution values of the stream, the total annual cost of multistream heat exchanger network (MSHEN) is regarded as an objective function, and genetic/simulated annealing algorithm (GA/SA) is adopted for optimizing the heat transfer temperature difference contribution values of the stream. The stream pseudo temperatures are subsequently obtained. On the basis of stream pseudo temperature, optimized MSHEN can be attained by the temperature-enthalpy (T-H) diagram method. This approach is characterized with fewer decision variables and higher feasibility of solutions. The calculation efficiency of GA/SA can be remarkably enhanced by this approach and more probability is shown in searching the global optimum solution. Hence this approach is presented for solving industrial-sized MSHEN which is difficult to deal by traditional algorithm. Moreover, in the optimization of stream heat transfer temperature difference contribution values, the effects of the stream temperature, the heat transfer film coefficient, and the construction material of heat exchangers are considered, therefore this approach can be used to optimize and design heat exchanger network (HEN) with unequal heat transfer film coefficients and different of construction materials. The performance of the proposed approach has been demonstrated with three examples and the obtained solutions are compared with those available in literatures. The results show that the large-scale MSHEN synthesis problems can be solved to obtain good solutions with the modest computational effort.
Keywords:multistream heat exchanger network  pseudo temperature  stream heat transfer temperature difference contribution value  genetic algorithm  simulated annealing algorithm
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