制冷技术2016，Vol.36Issue(1)：20-25,6.DOI:10.3969/j.issn.2095-4468.2016.01.104
基于模糊聚类方法的制冷系统性能分析
Performance Analysis of Chiller System Based on Fuzzy C-means Cluster Method
孙李 1范波2
作者信息
- 1. 合肥通用机械研究院，安徽合肥 230031
- 2. 美的中央空调研发中心，广东佛山 528311
- 折叠
摘要
Abstract
A new method is proposed to analyze the operating performance of chiller system by using Fuzzy C-means (FCM) cluster method. A simulation model of chiller system is built based on Trnsys simulation software. Among all of the operating parameters of chiller system over a year, 5 main operating parameters are chosen for the cluster analysis. Three cluster centers are obtained by FCM cluster method, which represent three typical operating conditions of chiller system over a year. It is also found that the calculated error between the Operation Energy Efficiency Ratio (OEER) of each chiller over a year and the weighted average value of the Coefficient of Performance (COP) of the chiller in different cluster centers is small. The result illustrates that the OEER of a chiller over a year can be represented by the COP of the chiller in different cluster centers.关键词
制冷系统/运行性能/数据挖掘/模糊聚类Key words
Chiller system/Operating performance/Data mining/Fuzzy c-means cluster method引用本文复制引用
孙李,范波..基于模糊聚类方法的制冷系统性能分析[J].制冷技术,2016,36(1):20-25,6.
