지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 157 - 174 (18page)
이용수
초록· 키워드
오류제보하기
Thermal comfort varies according to the seating infrastructure, even within the same space; and individuals may perceive thermal comfort differently, albeit using the same seat. The current seat-reservation systems in library reading rooms do not account for these differences, leading to dissatisfaction among users. A survey of 149 library patrons at K University found that 73% were dissatisfied with the thermal conditions in the library. In this study, we developed a Predicted Mean Vote (PMV) virtual sensor system to provide the important thermal-comfort information required for ensuring optimal seat reservation. Using a Multi-Layer Perceptron (MLP) model, we developed PMV virtual sensors for all seats in the library while measuring the temperature and humidity across the room; a total of 45 models were constructed, with the Coefficient of Variation of the Root-Mean-Square error (cv(RMSE)) being less than 10%. The Computational Fluid Dynamics (CFD) simulations provided the airflow data; the data were incorporated into the PMV calculations. Based on this, the PMV was visualized within an actual seat reservation system to identify and recommend optimal seating, reducing user dissatisfaction by up to 41.7%. This study indicates that providing PMV-based thermal comfort information during seat reservation can effectively reduce occupant dissatisfaction, which in turn can help minimize unnecessary heating and cooling demands and contribute to building energy optimization.
목차
Abstract
1. 서론
2. 연구 흐름
3. 방법론
4. 결과
5. 결론 및 추후 연구
REFERENCES
참고문헌 (13)
참고문헌 신청
Cao, X., Dai, X., and Liu, J., Building Energy-Consumption Status Worldwide and the State-of-the-Art Technologies for Zero-Energy Buildings during the Past Decade, Energy and Buildings, Vol. 128, pp. 198-213, 2016.
Baek, Y., Special Planning: Indoor Thermal Environment and Comfort - Human Thermal Comfort Environment., The Society of Air-Conditioning and Refrigerating Engineers of Korea, Vol. 34, No. 4, pp. 9-13, 2005.
Khan, M. H. and Pao, W. Thermal Comfort Analysis of PMV Model Prediction in Air Conditioned and Naturally Ventilated Buildings, Energy Procedia, Vol. 75, pp. 1373-1379, 2015.
Choi, Y., In-situ virtual sensing technologies for building energy systems., Department of Architectural Environment and Building Services Engineering, Doctoral Dissertation., Sungkyunkwan University, 2023.
Kim, J. and Yoon, S., Virtual PMV Sensor Towards Smart Thermostats: Comparison of Modeling Approaches Using Intrusive Data, Energy and Buildings, Vol. 301, 113695, 2023.
Baek, Y., Special Planning: Indoor Thermal Environment and Comfort - Human Thermal Comfort Environment., The Society of Air-Conditioning and Refrigerating Engineers of Korea, Vol. 34, No. 4, pp. 9-13, 2005.
Khan, M. H. and Pao, W. Thermal Comfort Analysis of PMV Model Prediction in Air Conditioned and Naturally Ventilated Buildings, Energy Procedia, Vol. 75, pp. 1373-1379, 2015.
Choi, Y., In-situ virtual sensing technologies for building energy systems., Department of Architectural Environment and Building Services Engineering, Doctoral Dissertation., Sungkyunkwan University, 2023.
Kim, J. and Yoon, S., Virtual PMV Sensor Towards Smart Thermostats: Comparison of Modeling Approaches Using Intrusive Data, Energy and Buildings, Vol. 301, 113695, 2023.
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