The analysis of statistical quality of building energy consumption in a developing city of China

4th Asia Conference of International Building Performance Simulation Association

土木建筑工程

Zong, Z.H.^1 ; Wang, Y.^2 ; Cao, Y.^2 ; Li, Y.Y.^1 ; Zhao, M.^3 ; Jin, L.W.^1 ; Meng, X.Z.^1

School of Human Settlements and Civil Engineering, Xi'An Jiaotong University, Shaanxi, China^1

China Architecture Design and Research Group, Beijing, China^2

China Northwest Architecture Design and Research Institute Co. Ltd, Shaanxi, China^3

关键词: Building automation systems;    Building energy consumption;    Building energy managements;    Building life cycle;    Electric consumption;    Fuzzy classification;    Operational performance;    Statistical quality;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/238/1/012080/pdf
DOI  :  10.1088/1755-1315/238/1/012080

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

With the increasing penetration of technologies, building automation systems (BASs) are capable of managing building operational performance in an efficient way. Meanwhile, BAS has accumulated a large amount of data during the building lifecycle. Data quality issues have become increasingly important, which affect the effectiveness and accuracy of energy big data analytics. In this paper, we study the data quality of electric consumption of a building energy management platform in a developing city of China. An overview of the selected building energy management platform is presented, and the electric sub-metering system is then illustrated. The data quality issues of electric consumption are divided into three aspects, namely item number of data, missing sub-items of data and the efficiency of data. After conducting a detailed discussion on these aspects, we discover a common and severe issue that many duplicate items and fuzzy-classification items exist in the data. The practical guidance for building energy management platform, which may help the platform operate effectively, is given based on the analysis.