scholarly journals Improved Heat Exchanger Network Synthesis without Stream Splits Based on Comprehensive Learning Particle Swarm Optimizer

ACS Omega ◽  
2021 ◽  
Author(s):  
Xianli Wu ◽  
Jie Xu ◽  
Yangdong Hu ◽  
Ju Wang ◽  
Chen Liang ◽  
...  
2011 ◽  
Vol 148-149 ◽  
pp. 1468-1472
Author(s):  
Ping Wang ◽  
Jun Liang Xu ◽  
Tao Lu

On the basis of superstructure of heat exchanger network (HEN), we established a particle swarm optimization (PSO) model of HEN with no splits, with the target of minimizing investment and operation cost. A typical HEN was solved via a modified particle swarm optimization (PSO). Through comparative of the optimization result, we could know that this method could reach better solution accuracy.


2011 ◽  
Vol 148-149 ◽  
pp. 636-640 ◽  
Author(s):  
Zhao Yi Huo ◽  
Liang Zhao ◽  
Hong Chao Yin

Heat exchanger network synthesis has been one of the most popular subjects in process design over the last 50 years. Various studies and optimization techniques have been proposed for designing optimal network with minimum total annual cost. Simultaneous synthesis approach via mathematical programming aims to find the optimal network without decomposition, which has been paid more attentions on the research recently. However, these methods might be not solvable or inefficient for large-scale problems. This paper makes an attempt to construct simultaneous synthesis model with split streams and to develop an efficient optimization framework based on particle swarm optimization for large-scale heat exchanger network synthesis problems. One example including 20 process streams is solved to give an illustration of the method.


2009 ◽  
Vol 11 (3) ◽  
pp. 459-470 ◽  
Author(s):  
Aline P. Silva ◽  
Mauro A. S. S. Ravagnani ◽  
Evaristo C. Biscaia ◽  
Jose A. Caballero

2017 ◽  
Vol 173 ◽  
pp. 537-559 ◽  
Author(s):  
Xiaodong Hong ◽  
Zuwei Liao ◽  
Binbo Jiang ◽  
Jingdai Wang ◽  
Yongrong Yang

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