| 논문명 |
서브미터링 전력데이터 기반 건물에너지모델의 입력수준별 전력수요 예측 성능분석 / Performance Analysis of Electricity Demand Forecasting by Detail Level of Building Energy Models Based on the Measured Submetering Electricity Data |
| 저자명 |
신상용(Shin, Sang-Yong) ; 서동현(Seo, Dong-Hyun) |
| 수록사항 |
한국건축친환경설비학회 논문집, Vol.12 No.6 (2018-12) |
| 주제어 |
용도별 사용 ; 건물에너지 모델 ; 전력수요예측 ; 미터 데이터 ; 서브미터링 ; End Use ; Building Energy Model ; Electricity Demand Prediction ; Meter Data ; Submetering |
| 요약2 |
Submetering electricity consumption data enables more detail input of end use components, such as lighting, plug, HVAC, and occupancy in building energy modeling. However, such an modeling efforts and results are rarely tried and published in terms of the estimation accuracy of electricity demand. In this research, actual submetering data obtained from a university building is analyzed and provided for building energy modeling practice. As alternative modeling cases, conventional modeling method (Case-1), using reference schedule per building usage, and main metering data based modeling method (Case-2) are established. Detail efforts are added to derive prototypical schedules from the metered data by introducing variability index. The simulation results revealed that Case-1 showed the largest error as we can expect. And Case-2 showed comparative error relative to Case-3 in terms of total electricity estimation. But Case-2 showed about two times larger error in CV (RMSE) in lighting energy demand due to lack of End Use consumption information. |
