Solving large-scale heat exchanger network synthesis problems using particle swarm optimization
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.
Heat exchanger network synthesis simultaneous synthesis split stream particle swarm optimization
Zhaoyi Huo Liang Zhao Hongchao Yin
Dalian University of Technology, School of Energy and Power Engineering, Dalian China, 116024
国际会议
大连
英文
636-640
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）