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인공태양실험실(A. S. Lab.)을 활용한 창호의 열성능 평가에 관한 연구
강기남(Ki-Nam Kang),이건호(Keon-Ho Lee) 대한설비공학회 2010 설비공학 논문집 Vol.22 No.11
Recently residential buildings are characterized with high-rise and high density. Under this circumstance, achieving comfortable and healthy indoor environment with minimized energy consumption becomes a very challenging engineering and societal issue. Along this the increased size and transparency of window as well as light surface caused by high stories lowers the heat shield efficiency of building. Since glass that constitutes building surface has low heat efficiency, it aggravates heat loss of all building considerably, thereby resulting in extreme heating load and cooling load in the country where temperature varies much in summer and winter. The research will check whether experiment can be effectively done by overcoming the limit of existing artificial solar laboratory constructed in the country and properly adjusting controlled variables with simplified function through construction of this experimental set.
정지태(Jung Jitae),이건호(Lee Keon-Ho),박철수(Park Cheol-Soo) 한국건축친환경설비학회 2011 한국건축친환경설비학회 학술발표대회 논문집 Vol.2011 No.3
The building energy consumption and heat loss/gain caused by building envelopes are closely related to each other. Accordingly, thermal performance for building envelope needs to be assessed in a precise and objective manner. As a quantitative indicator for thermal performance of transparent building envelopes, the Solar Heat Gain Coefficient (SHGC) or g-value is widely accepted. The SI-lGC is generally derived by spectrometric method and calorimetric method. From Ute authors' previous research. the latter was found to be more appropriate for assessing complex fenestrations. With this in mind, the authors had conducted a series of calorimetric experiment using Artificial Solar Laboratory installed in Korea Institute of Construction Technology. Then the SHGCs of tested fenestration cases were calculated with the results from measurement and simulation. In this paper, the outcomes of measurement and simulation are compared. Additionally, factors that may cause differences between measurement and simulation are discussed. Furthermore, the means to diminish the difference and processes to enhance the reliability of the results are suggested.