Paper Conference

Proceedings of ASim Conference 2016: 3rd Asia conference of IBPSA-China, Japan, Korea


Big-data analysis on energy consumption of office buildings in Seoul

K. Ahn, H. Shin, C. Park

Abstract: Due to substantial energy consumptions in the building sector, a variety of political actions, policies (e.g. energy certifications, carbon emission regulations) and technical supports (e.g. passive and active technologies) have been conducted. One way to achieve energy efficiency for existing buildings is objective analysis on the features of actual energy consumption on the building sectors. This paper aims to investigate the actual energy consumption of office buildings (4,625 buildings) in Seoul based on national building energy database including location, building age, use, total floor area, the number of story and elevator, monthly energy consumption. In order to give an intuitive understanding of the features on the large building stock, this study conducted big-data analyses in three ways: (1) energy consumption of buildings according to their location, (2) relevance of building age to energy consumption, and (3) the correlations between energy consumption and given building information. The analyses were made based on the scatterplot matrix and density plot. The results of this study show that the degree of energy consumption was irrelevant to the building age. In addition, it can be concluded that the database should be supplemented to identify the dominant factor on the energy consumption.
Keywords: Big-data, Data mining, Energy performance, Energy Consumption, Existing building