| Title |
Prediction Model for Gas-Energy Consumption using Ontology-based Breakdown Structure of Multi-Family Housing Complex |
| Authors |
Hong, Tae-Hoon ; Park, Sung-Ki ; Koo, Choong-Wan ; Kim, Hyun-Joong ; Kim, Chun-Hag |
| Keywords |
Multi-family Housing ; Ontology ; Breakdown Structure ; Energy Consumption ; Green-house Gas |
| Abstract |
Global warming caused by excessive greenhouse gas emission is causing climate change all over the world. In Korea, greenhouse gas emission from residential buildings accounts for about 10% of gross domestic emission. Also, the number of deteriorated multi-family housing complexes is increasing. Therefore, the goal of this research is to establish the bases to manage energy consumption continuously and methodically during MR&R period of multifamily housings. The research process and methodologies are as follows. First, research team collected the data on project characteristics and energy consumption of multi-family housing complexes in Seoul. Second, an ontology-based breakdown structure was established with some primary characteristics affecting the energy consumption, which were selected by statistical analysis. Finally, a predictive model of energy consumption was developed based on the ontology-based breakdown structure, with application of CBR, ANN, MRA and GA. In this research, PASW (Predictive Analytics SoftWare) Statistics 18, Microsoft EXCEL, Protege 4.1 were utilized for data analysis and prediction. In future research, the model will be more continuous and methodical by developing the web-base system. And it has facility manager of government or local government, or multi-family housing complex make a decision with definite references regarding moderate energy consumption. |