| Title |
A Study on Classifying Building Energy Consumption Pattern Using Actual Building Energy Data |
| Authors |
Woo, Hei-Jee ; Choi, Ki-Won ; Kim, Hyeon Soo ; Auh, Jin Sun ; Cho, Soo Youn ; Baek, Jumi ; Kim, Gi-Seok ; Leigh, Seung-Bok |
| DOI |
http://dx.doi.org/10.5659/JAIK_PD.2016.32.5.143 |
| Keywords |
Building Energy Consumption ; Building Energy Pattern ; Data-driven Method |
| Abstract |
The pattern of energy consumption in a building varies based on its characteristic features and the behavior of the occupants; therefore, it is difficult to classify buildings in terms of energy consumption. This study used only outdoor temperature and energy consumption as a parameter to analyze the energy consumption by a building, and thus the approach is different from the conventional methods that use complex computer simulations, data on energy consumptions related to heating cooling, and energy audits etc. First, raw data on the operational schedules of the buildings and internal-external dependency factor are developed as the primary analytical data. The preferred analytical data were categorized into four categories: internal-external factors, energy consumption, operational condition of the building, and energy consumption by outdoor temperature. A matrix that can be used as a relative indicator of a building’s energy consumption in relation to its characteristics was also developed in this work. Using this energy pattern matrix, the obtained data could be used for retrofitting buildings, and a classification scheme based on the energy consumption pattern of buildings can be also prepared. |