Determining the optimal occupancy density for reducing the energy consumption of public office buildings: A statistical approach. (January 2018)

• Record Type: Journal Article
• Authors: Kang, Hyuna; Lee, Minhyun; Hong, Taehoon; Choi, Jun-Ki
• Is Part Of: Building and environment. Volume 127(2018)
• Page Start: 173
• Page End: 186
• Publication Date: 2018-01
• Subjects: Building energy -- Energy consumption -- Occupancy density -- Public office building -- Decision tree -- Mann–Whitney U test; Buildings -- Environmental engineering -- Periodicals; Building -- Research -- Periodicals; Constructions -- Technique de l'environnement -- Périodiques; Electronic journals; 696
• DOI: 10.1016/j.buildenv.2017.11.010
• Languages: English
• ISSNs: 0360-1323

Abstract

Abstract: Due to the various restrictions on the energy performance of public office buildings, it is essential to obtain occupancy information for not only evaluating but also regulating the building energy performance. There is still a lack of information and standard, however, for occupancy density due to the limitations on data collection and the lack of reliable data. Therefore, this study aimed to determine the optimal occupancy density for reducing the energy consumption in public office buildings. Towards this end, this study used various statistical methods, such as correlation analysis, decision tree, and Mann-Whitney U test, based on the actual occupancy data from public office buildings in South Korea. This study was conducted in three steps: (i) establishment of the database; (ii) determination of the optimal occupancy density using the statistical approach; and (iii) application of the proposed occupancy density using building energy policies. As a result, it was shown that buildings with an occupancy density above 31.41 m 2 /person could save up to 50.3% energy on average compared to those with an occupancy density below 31.41 m 2 /person. The analysis results showed that the proposed occupancy density could help in deciding the appropriate occupancy density for reducing the energy consumption of public office buildings. Highlights: This study determined the optimal occupancy density for the public office buildings. Correlation analysis, decision tree, Mann-Whitney U test were used. The data of 105 public office buildings in the Seoul Capital Area were collected. As a result, the optimal occupancy density (31.41 m 2 /person) was proposed. The proposed occupancy density could help reducing the building energy consumption.