| Title |
Development of Energy Conservation Measures for Office Buildings by Analyzing Monthly Energy Use Patterns |
| Authors |
오지현(Oh, Ji-Hyun) ; 김혜기(Kim, Hye-Gi) ; 최병주(Choi, Byung-Ju) ; 김선숙(Kim, Sun-Sook) |
| DOI |
https://doi.org/10.5659/JAIK.2022.38.5.139 |
| Keywords |
Office Buildings; Energy Use Pattern; Energy Conservation Measures; Clustering Analysis |
| Abstract |
To achieve carbon neutrality in a city or country, it is required to evaluate energy performance and energy conservation measures for large
buildings. The energy performance of existing buildings are widely evaluated by annual EUI (energy use intensity, kWh/㎡yr). However, this
annual value have limitations on analyzing seasonal effect and establishing energy conservation strategies. In this paper, we analyze monthly
energy use patterns of large buildings and proposed general energy conservation strategies and measures according to the patterns. To classify
the energy use patterns, we investigated clustering techniques on monthly energy use of office buildings in Korea. A k-means algorithm was
implemented, and two different methods were compared: feature based k-means and time series k-means. The methods were performed with
Euclidean distance metric and we tested our methods on energy use data from national database. The results show that feature based k-means
method is significant in energy use pattern analysis. The energy use patterns of office buildings were divided into five clusters. We analyzed
the characteristics of clusters by building size, annual and seasonal energy use. |