摘要
制冷机组部分负荷性能对制冷机组运行能耗影响非常大,本文提出基于聚类–回归算法挖掘制冷机组实际运行特性的方法,即以K–Means聚类算法识别不同负荷率区间的代表性运行数据,以最小二乘法对聚类结果进行回归分析。并基于地源热泵机组的大量实际运行数据,采用提出的聚类–回归算法,研究了地源热泵机组的实际运行特性,拟合了机组COP与部分负荷率PLR的曲线,得到COP与PLR的数学表达式,为开展制冷机组的智能调控奠定基础。
Some bearing capacities of refrigerating unit have very big influence on the operation energy consumption.This paper proposed a cluster-regression algorithm based method to explore the practical operation characteristics of refrigerating unit,namely using K-Means cluster algorithm to determine the representative operation data at different load intervals and then using least square method for regression analysis on the cluster result.Based on the large quantity of practical operation data of ground source heat pump unit,the practical operation characteristics of ground source heat pump unit were researched.COP and PLR curves were fitted and COP and PLR mathematical expressions were determined,providing a solid basis for intelligent control of refrigerating unit.
作者
崔治国
曹勇
刘辉
丁天一
于晓龙
CUI Zhi-guo;CAO Yong;LIU Hui;DING Tian-yi;YU Xiao-long(China Academy of Building Research,100013,Beijing,China)
出处
《建筑技术》
2022年第5期625-628,共4页
Architecture Technology
基金
中国建筑科学研究院有限公司青年基金课题(20190109331030015)
“十三五”国家重点研发计划项目(2018YFC0705900)。
关键词
制冷机组
运行特性
聚类–回归算法
COP
PLR
refrigerating unit
operation characteristics
cluster-regression algorithm
COP
PLR