| 논문명 | 재실여부가 반영된 MPC환경구축 및 조명제어의 성능 평가/Evaluation of the Lighting Control Performance using Developed MPC Environment with Occupancy Data |
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| 저자명 | 김석호(Kim, Seok-Ho) ; 서동현(Seo, Dong-Hyun) |
| 발행사 | 한국건축친환경설비학회 |
| 수록사항 | 한국건축친환경설비학회 논문집 , Vol.11 No.6 |
| 페이지 | 시작페이지(546) 총페이지(12) |
| ISSN | 1976-6483 |
| 주제분류 | 환경및설비 |
| 주제어 | 사물인터넷 ; 재실추정 ; 조명제어 ; 에너지절약 ; 가상 테스트베드 IoT ; Occupancy Estimation ; Lighting Control ; Energy Saving ; BCVTB |
| 요약2 | IoT sensor data that impose occupancy information could be very useful in building energy simulation tools for improving accuracy of the simulation result. By doing so, those tools can be embedded in BEMS (building energy management system) for more strategic and efficient building energy management. This study focuses on the development of a model predictive control software environment with the IoT sensor data. As a demonstration, IoT sensor data is gathered from private office space. Occupancy estimation is implemented through classification algorithm (decision tree) with the data gathered. The actual but estimated occupancy information is transferred to EnergyPlus via BCVTB. Lighting energy consumption is predicted from the MPC simulation and compared with measured lighting energy data. It was found that this MPC environment could save lighting energy when the occupant leave the space without turn off the light. Around 25% of wasted lighting energy was saved by turning off the light when the space is vacancy. This demonstration shows the promising aspect of estimation of occupancy and MPC technology. |
| 소장처 | 한국건축친환경설비학회 |