재실자 착의량 정보에 따른 열쾌적 기반 제어의 탄소배출량 분석

초록

Purpose: With the increasing importance of indoor thermal environments, comfort-based system control methods have been developed to create comfortable thermal conditions. However, the achievement of thermal comfort often conflicts with energy efficiency, highlighting the need for strategies that simultaneously improve comfort and reduce carbon emissions in buildings. A critical step in this process is understood to be the impact of key occupant information, particularly clothing insulation (CLO), on carbon emissions during the operation of building systems. Thus, the aim of this study is to explore the effect of CLO on the carbon emissions of these systems by being examined. Method: The impact of varying levels of CLO on energy consumption and the resultant carbon emissions was assessed using a PMV-based control approach in this research. Annual carbon emissions were evaluated through simulations, while empirical validation was conducted with actual subjects under PMV-based control in a Test-bed setting. Result: It was found that CLO significantly influences the energy usage and carbon emissions of the system. A doubling of the CLO value was observed to lead to a decrease of approximately 36% in annual carbon emissions during heating periods and an increase of around 20% during cooling periods. These results highlight the substantial effect of CLO on carbon emission fluctuations and emphasize the importance of accurate CLO data being acknowledged. Furthermore, it is anticipated that these results can be utilized for establishing optimal control strategies for achieving both thermal comfort and carbon reduction simultaneously during the building operation phase.

키워드