基于遗传算法的空调用湿式热回收装置的优化研究  

Optimum research of Wet Thermal Recovery Plant Used by Air Conditioning based on Genetic Algorithms

作　　者：邢滕[1] 李永安[1] 刘学来[1] 张从菊[1] 

机构地区：[1]山东建筑大学热能工程学院,山东济南250101

出　　处：《制冷》2008年第3期6-12,共7页Refrigeration

基　　金：山东省科技攻关计划项目(2005GG4207001);香港-大陆合作科研项目(CH05-20-16)

摘　　要：空调用湿式热回收装置的结构设计对其使用的经济性有重要影响。本文运用新的最优化方法——遗传算法,针对空调用湿式热回收装置的经济性问题进行分析,建立了优化设计数学模型,并对新、排风风量为0.18kg/s的空调用湿式热回收装置进行了优化求解。探讨了其经济性随各结构参数变化的规律。研究结果表明:遗传算法可以很好地实现空调用湿式热回收装置的优化;得出了空调用湿式热回收装置的最优化结构;随各结构参数的变化,目标函数呈抛物线变化规律。该研究对于空调用湿式热回收装置的设计有一定的参考价值。The structure of wet thermal recovery plant used by air conditioning plays a very important part in the economical advantages of plant used in an air conditioning system. This article exerts a new method of optimization Genetic Algorithms, an optimum mathematic model based on the economical advantages analysis of wet thermal recovery plant used by air conditioning is established, and an optimum result is obtained that the flow rate of fresh air and discharge air is 0.18kg/s. Discusses the tendency of the economical advantages with the change of structure parameters.The results indicate that the optimization of wet thermal recovery plant used by air conditioning can be solved successfully by using genetic algorithms, obtains the best structure of wet thermal recovery plant used by airconditioning. With the changes of structure parameters, the objective function presents the parabola tendency. The research conclusion set a foundation for the design of wet thermal recovery plant used by air conditioning.

关 键 词：空调用湿式热回收装置 遗传算法 经济性 结构设计 优化 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程] TK114[动力工程及工程热物理—热能工程]