A New Nodes-Based Model for Optimization of Heat Exchanger Network Synthesis  被引量:6

在线阅读下载全文

作  者:XU Yue HERI Ambonisye Kayange XIAO Yuan CUI Guomin 

机构地区:[1]School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China

出  处:《Journal of Thermal Science》2021年第2期451-464,共14页热科学学报(英文版)

基  金:We would like to thank the financial support in partfrom the National Natural Science Foundation of China(51176125);National Natural Science Foundation of China(21978171);Capacity Building Plan for some Non-military Universities and Colleges of Shanghai Scientific Committee(16060502600).

摘  要:Searching the global optimal value in heat exchanger network synthesis (HENS) becomes more difficult along with the increasing scale of cases.In structural opitimization model,such as stage-wise superstructure,solution domain can be enlarged by adding the stages of network,which would involve multiple integer and continuous variables in optimization and result in a decreasing computational efficiency.Thus,a new nodes-based model with stream splits is proposed,which can promote the quality of result and decrease time consumption at the same time.The characteristic of this model is that it changes the matching mode of heat exchangers by setting the number of nodes on streams to quantify the positions of heat exchangers.The proposed nodes-based model has more flexibility in generating and eliminating the heat exchangers and strong ductility in exploring the solution domain.The random walk with compulsive evolution is modified for enhancing its searching ability and applying modified random walk algorithm with compulsive evolution (RWCE) into the new proposed model.The obtained results of Case 1,Case 2 and Case 3 are superior to those reported in the literature,which decreases 106 USD·a-1,1253 USD·a-1,23 444 USD·a-1,respectively,verifying the robust effectiveness of this new model in solving HENS problem.

关 键 词:HENS nodes-based model stream splits random walk with compulsive evolution efficiency 

分 类 号:TK172[动力工程及工程热物理—热能工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象