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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)3559-3564
Journal / PublicationEnergy Procedia
Volume158
Publication statusPublished - Feb 2019

Conference

Title10th International Conference on Applied Energy (ICAE 2018)
PlaceChina
CityHong Kong
Period22 - 25 August 2018

Link(s)

Abstract

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.

Research Area(s)

  • Correlation, Energy use intensity, Multi buildings, Social network technique

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