摘要
本文针对小型办公楼冷水机组的运行能耗进行分析与诊断。采用EnergyPlus构建了一个冷水机建筑仿真模型,并获得其原始运行数据。数据预处理后,选取适当参数作为用能模式划分的主要特征,划分出了4种冷水机组的用能模式,并对冷水机组脏堵故障状态下的能耗进行了分析。结果表明,采用本文构建的划分方法对冷水机组用能模式进行划分,两两之间的显著性P都小于0.001,均小于显著性基准0.05,不同类的能耗数据间存在显著差异,用能模式划分合理;冷却塔脏垢故障发生时,高能耗特征分别占据了低能耗模式、中能耗模式和高能耗模式的27.93%、38.14%和44.14%,说明冷却塔脏垢故障在冷水机组的高能耗模式下会产生更大的影响。
The operating energy consumption of chillers in small office buildings is analyzed and diagnosed in this paper.EnergyPlus is used to construct a chiller building simulation model and obtain its original operating data.After data preprocessing,appropriate parameters are selected as the main features of energy use mode division,four chiller energy use modes are divided,and the energy consumption of the chiller unit under the condition of dirty blockage is analyzed.The results show that,with the division method constructed to divide the energy consumption mode of chillers,the significance P between the two is less than 0.001,and both are less than the significance benchmark 0.05.There are significant differences between different types of energy consumption data.Mode division is reasonable;when the cooling tower fouling failure occurs,the high energy consumption characteristics account for 27.93%,38.14%and 44.14%of the low energy consumption mode,the medium energy consumption mode,and the high energy consumption mode respectively,indicating that the cooling tower fouling fault is in the chiller unit with the high energy consumption mode will have a greater impact.
作者
曹子涵
伍俊宇
陈焕新
周镇新
刘志龙
陈建业
CAO Zihan;WU Junyu;CHEN Huanxin;ZHOU Zhenxin;LIU Zhilong;CHEN Jianye(China-EU Institute of Clean and Renewable Energy,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China;School of Energy and Powering Engineering,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China;State Key Laboratory of Compressor Technology,Hefei General Machinery Research Institute,Hefei 230031,Anhui,China)
出处
《制冷技术》
2022年第3期28-36,共9页
Chinese Journal of Refrigeration Technology
基金
国家自然科学基金(No.51876070)
压缩机技术国家重点实验室开放基金(No.SKL-YSJ201912)。
关键词
建筑仿真
能耗分析
冷水机组
故障诊断
Building simulation software
Energy consumption analysis
Chiller
Fault diagnosis