| 논문명 |
가상센서 모델 개발을 통한 건물 기존 온도 센서 활용 평균복사온도 실시간 예측 / Real-time Prediction of Mean Radiant Temperature through Developed a Virtual Sensor Model using Existing Sensors |
| 저자명 |
신혜진(Shin, Hye-Jin) ; 이동석(Lee, Dong-Seok) |
| 수록사항 |
한국건축친환경설비학회 논문집, Vol.18 No.2 (2024-04) |
| 주제어 |
평균복사온도; 표면온도; RC 모델; 가상센서 ; Mean Radiant Temperature; Surface temperature; RC model; Virtual Sensor |
| 요약2 |
The mean radiant temperature (MRT) is a critical factor influencing approximately half of the thermal comfort experienced by occupants. However, existing methods for measuring MRT have not been employed due to the physical limitations of the measuring equipment. This study aims to develop a virtual sensor model for predict MRT applicable in existing buildings without the need for additional sensor installations. To achieve this, experiment was conducted. Simplified resistance-capacity (RC) model was applied for building model. Using particle swarm optimization (PSO), R and C values were obtained to predict indoor surface temperatures. Finally, real-time MRT spatial distribution was predicted using the derived surface temperatures, and the outcomes were thoroughly discussed. The result of this study indicates the practical applicability of the MRT prediction model in occupied buildings. |
