Heat Exchanger Network Synthesis without stream splits using parallelized and simplified simulated Annealing and Particle Swarm Optimization

2017 ◽  
Vol 158 ◽  
pp. 96-107 ◽  
Author(s):  
Leandro Vitor Pavão ◽  
Caliane Bastos Borba Costa ◽  
M.A.S.S. Ravagnani
Keyword(s):  
Particle Swarm Optimization ◽  
Simulated Annealing ◽  
Heat Exchanger ◽  
Particle Swarm ◽  
Network Synthesis ◽  
Heat Exchanger Network ◽  
Swarm Optimization ◽  
Heat Exchanger Network Synthesis

Optimal Heat Exchanger Network Synthesis via Particle Swarm Optimization

2011 ◽  
Vol 148-149 ◽  
pp. 1468-1472
Author(s):  
Ping Wang ◽  
Jun Liang Xu ◽  
Tao Lu
Keyword(s):  
Particle Swarm Optimization ◽  
Heat Exchanger ◽  
Particle Swarm ◽  
Network Synthesis ◽  
Heat Exchanger Network ◽  
Swarm Optimization ◽  
Modified Particle Swarm Optimization ◽  
Solution Accuracy ◽  
Operation Cost ◽  
Heat Exchanger Network Synthesis

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.

Solving Large-Scale Heat Exchanger Network Synthesis Problems Using Particle Swarm Optimization

2011 ◽  
Vol 148-149 ◽  
pp. 636-640 ◽  
Author(s):  
Zhao Yi Huo ◽  
Liang Zhao ◽  
Hong Chao Yin
Keyword(s):  
Particle Swarm Optimization ◽  
Heat Exchanger ◽  
Large Scale ◽  
Particle Swarm ◽  
Network Synthesis ◽  
Heat Exchanger Network ◽  
Swarm Optimization ◽  
Optimal Network ◽  
Simultaneous Synthesis ◽  
Heat Exchanger Network Synthesis

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.

Optimal heat exchanger network synthesis using particle swarm optimization

2009 ◽  
Vol 11 (3) ◽  
pp. 459-470 ◽  
Author(s):  
Aline P. Silva ◽  
Mauro A. S. S. Ravagnani ◽  
Evaristo C. Biscaia ◽  
Jose A. Caballero
Keyword(s):  
Particle Swarm Optimization ◽  
Heat Exchanger ◽  
Particle Swarm ◽  
Network Synthesis ◽  
Heat Exchanger Network ◽  
Swarm Optimization ◽  
Optimal Heat ◽  
Heat Exchanger Network Synthesis

Flexible Synthesis of Heat Exchanger Network with Particle Swarm Optimization Algorithm

2011 ◽  
Vol 214 ◽  
pp. 569-572 ◽  
Author(s):  
Xio Ling Zhang ◽  
Hong Chao Yin ◽  
Zhao Yi Huo
Keyword(s):  
Particle Swarm Optimization ◽  
Heat Exchanger ◽  
Operating Cost ◽  
Particle Swarm ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Nonlinear Program ◽  
Heat Exchanger Network ◽  
Swarm Optimization

In this paper, the flexible synthesis problem for heat exchanger network(HEN) is formulated to a mixed integer nonlinear program(MINLP) model. The objection function of the model consists of two components: First, a candidate HEN structure has to satisfy flexible criterion during input span. Second, a minimized annual cost consisting of investment cost and operating cost is investigated. The solution strategy based on particle swarm optimization(PSO) algorithm is proposed to obtain the optimal solution of the presented model. Finally, a four streams example is investigated to show the advantage of the whole proposed optimization approach.

Heat exchanger network synthesis combining Simulated Annealing and Differential Evolution

Energy ◽  
2019 ◽  
Vol 181 ◽  
pp. 654-664 ◽  
Author(s):  
Maria Claudia Aguitoni ◽  
Leandro Vitor Pavão ◽  
Mauro Antonio da Silva Sá Ravagnani
Keyword(s):  
Simulated Annealing ◽  
Heat Exchanger ◽  
Differential Evolution ◽  
Network Synthesis ◽  
Heat Exchanger Network ◽  
Heat Exchanger Network Synthesis
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