A surrogate-based optimization framework for simultaneous synthesis of chemical process and heat exchanger network

2021 ◽  
Vol 170 ◽  
pp. 180-188
Author(s):  
Mingxin Li ◽  
Yu Zhuang ◽  
Weida Li ◽  
Yachao Dong ◽  
Lei Zhang ◽  
...  
2012 ◽  
Vol 43 ◽  
pp. 91-100 ◽  
Author(s):  
Rozalija Drobež ◽  
Zorka Novak Pintarič ◽  
Bojan Pahor ◽  
Zdravko Kravanja

Energy ◽  
2016 ◽  
Vol 113 ◽  
pp. 875-893 ◽  
Author(s):  
Xianglong Luo ◽  
Xiaojian Huang ◽  
Mahmoud M. El-Halwagi ◽  
José María Ponce-Ortega ◽  
Ying Chen

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.


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