Investigation on correlation of energy consumption of multi buildings on campus area

被引:1
|
作者
Wang, Wei [1 ]
Chen, Jiayu [1 ]
机构
[1] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Y6621,AC1,Tat Chee Ave, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
multi buildings; energy use intensity; correlation; social network technique; SIMULATION; IMPACT;
D O I
10.1016/j.egypro.2019.01.911
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Buildings occupy a large proportion of energy use and to analyze the building energy use is quite important for understanding building energy pattern and energy conservation methods. For multi building energy use analysis, researchers realized the inter- impact and-relationship between multi buildings by considering inter buildings effect and identifying reference buildings in the group. This study would like to investigate correlations between multi buildings to identify the relationship and reference buildings. In the method, the social network technique method was used to identify the reference buildings and correlation between them and total buildings energy use, non reference buildings, respectively. To validate proposed method, this study selected Southeast University as a case study and two buildings types were tested, including education buildings group and laboratory buildings group. In the results, for education buildings, there are three reference buildings with the correlations between them and total buildings energy use intensities about 0.712, 0.983, and 0.910. While the correlations between reference buildings and non-reference buildings are 0.814, 0.845, and 0.741. For laboratory buildings, the correlations between reference buildings and total building energy use intensity are 0.722 and 0.918, while the correlations between two reference buildings and two non-reference buildings are 0.632 and 0.613, respectively, and 0.637 and 0.218, respectively. This study can be a significant case study for the interdisciplinary research on multi-buildings energy use analysis studies. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:3559 / 3564
页数:6
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