超结构换热器网络综合优化的遗传/模拟退火算法——Ⅱ．遗传/模拟退火算法及应用

本文提出了用于换热器网络综合的改进的遗传/模拟退火算法。最优综合的模型基于本文第一部分所提出的通用解方法.所采用的遗传算法结合了模拟退火算法和爬山优化算法,同时引进精英策略和结构变异策略以增强算法的搜索能力。采用本文提出的算法对文献提出的算例进行了计算并得到了更好的结果。

超结构换热器网络综合优化的遗传/模拟退火算法——Ⅰ．改进的换热器网络通用解方法

在换热器网络的最优化设计中,为计算其年度总费用,必须首先得到网络中各换热器流体的进出口温度.本文提出了分级超结构换热器网络中流体温度的显式解析解。这一新算法大大降低了它对计算机内存的要求,使其能适用于大规模换热器网络的温度计算和最优综合。

An Explicit Solution for Thermal Calculation and Synthesis of Super-structure Heat Exchanger Networks

For the optimal design of a heat exchanger network,the inlet and outlet stream temperatures of each heat exchanger in the network should be known.An explicit analytical solution of stream temperatures of an arbi-trary connected heat exchanger network was introduced,which is suitable for the thermal calculation of heat ex-changer networks.For the heat exchanger network synthesis,this solution was further developed and coupled with the stage-wise superstructure heat exchanger networks.The new calculation procedure reduced the computer mem-ory requirement dramatically.On the basis of this solution,a mathematical model for synthesis of heat exchanger networks with genetic algorithm was formulated,which is always feasible and no iteration is needed.Two examples were calculated with the proposed approach and better results were obtained.