摘要
本文将人工智能之一的遗传算法应用于混合工质热泵系统,在对热泵进行模拟的基础上构造了系统性能函数,对冷凝压力、蒸发压力以及回热度进行了多参数的优化,得到了使系统COP最大时的各参数的最佳值。发现在进行制冷/热系统多参数组合优化时,遗传算法全局寻优以及收敛能力与传统的优化方法相比,性能有了较大的提高。
Using the Genetic Algorithm to the hot water heat pump filled with zeotropic mixtures R22/R141b in this paper, three variables, evaporating pressure, condensing pressure and temperature increase of the gas in the exchanger, are optimized based on the simulation of the heat pump. The best values are founded to get the highest COP of the heat pump. It is found that the new method is more effective and better than common methods when used to multi-variables optimization.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2003年第5期747-749,共3页
Journal of Engineering Thermophysics
基金
国家重点基础研究规划资助项目(No.G20000263)
关键词
热泵
遗传算法
优化
heat pump
genetic arithmetic
optimize
