摘要
介绍了一种考虑压降和多壳的换热网络集成方法。首先采用埃索法推导得出不依赖于各种校正系数的管壳式换热器壳程压降计算关联式,并通过考虑换热器内是否存在温度交叉来计算换热器所需的壳数;然后以包含压降相关费用的年度总费用为优化目标,利用遗传算法,实现换热网络的优化设计。案例研究表明压降相关的动力与投资费用在换热网络年度总费用中占一定比例。所提出的方法能有效处理考虑压降和多壳所引入的非线性问题,使设计结果更为经济和可靠。
A systematic procedure to integrate the heat exchanger network considering pressure drops and multiple shells is described.The shell-side pressure drop correlation without resorting to correction factors is developed from the Esso method.The number of shells is calculated by considering the temperature cross in a heat exchanger instead of the designer＇s choice for the ratio.The network spaghetti design is solved by the optimization of total annual cost with the genetic algorithm.The case study shows that the proposed method can handle more constraints and make the computation more reliable and optimized.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2013年第11期4128-4136,共9页
CIESC Journal
基金
国家自然科学基金项目(51206147)
浙江省科技厅重点创新团队项目(2010R50001)~~
关键词
传热
换热网络
压降
多壳
遗传算法
集成
heat transfer
heat exchanger network
pressure drops
multiple shells
genetic algorithm
integration
