| Title |
Multi-family Housing Complex Breakdown Structure for Decision Making on Rehabilitation |
| Authors |
Hong, Tae-Hoon ; Kim, Hyun-Joong ; Koo, Choong-Wan ; Park, Sung-Ki |
| Keywords |
Multi-family Housing ; Breakdown Structure ; Decision Tree ; Energy Consumption |
| Abstract |
As climate change is becoming the main issue, various efforts are focused on saving building energy consumption both at home and abroad. In particular, it is very important to save energy by maintenance, repair and rehabilitation of existing multi-family housing complex, because energy consumption in residential buildings is not only forming a great part of gross energy consumption in Korea but the number of deteriorated complexes is also sharply increasing. However, energy saving is not considered as a main factor in decision making on rehabilitation project. Also, any supporting tool is not appropriately prepared in existing process. As the first step for development of decision support system on rehabilitation, this paper developed a breakdown structure, which makes clusters of multi-family housing complexes. Decision tree, one of data mining methods, was used to make clusters based on the characteristics and energy consumption data of multi-family housing complexes. Energy saving and CO2 reduction will be maximized by considering energy consumption during rehabilitation process of multi-family housing complex, based on these results and following research. |