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장향인(Jang Hyang-In),안형준(Ann Hyung-June),강혜숙(Kang, Hye-Suk),최창호(Choi, Chang-Ho),서승직(Suh, Seung-Jik) 한국건축친환경설비학회 2015 한국건축친환경설비학회 논문집 Vol.9 No.5
The purpose of this study was to calculate U-values and compare quantitative difference based on the assessment methods and input criteria using domestic and international test method to confirm the feasibility of the simulation test of domestic window–set U-values. To that end, the standards of the tests of U-values of domestic and international window sets were discussed and a variety of cases where window set configuration parameters (glass, cavity gas and thickness, frames, spacers, windows sizes) have been changed were simulated using WINDOW&THERM to calculate U-values. The results of U-value Differences against domestic standards by window set portion (glazing, frame, edge) found that differences of NFRC were high in the order of edge > glazing > frame in all the standards. The analysis of U-values by changing the cavity gas and thickness of the window glass having a great impact on a total of U-values in window revealed that differences were high in the order of Krypton > Argon > Air, leading to higher differences of NFRC, compared to those of NFRC. This is explained by the fact that even though convective heat transfer coefficient calculation is the same, the difference of volume expansion coefficient(β) and temperature of the Rayleigh’s number(Ra) formula increases as the difference between indoor and outdoor temperatures of NFRC is 19°C or higher. In addition, an inflection point appeared, where the difference rapidly increases in certain thickness, regardless of types and standards of the cavity gas. It may have been caused by the threshold where convection is activated influenced by cube(d3). The above study attempted to analyze the trends and causes of segmental U-values according to a window set simulation. Additionally, further research will be carried out on various types of window sets in future.
통계적 방법을 이용한 이질재가 혼합된 목구조의 상당열관류율 예측
유동철(Yoo Dong-Chul),장향인(Jang Hyang-In),안형준(Ann Hyung-June),박창영(Park Chang-Young),김희강(Kim Hee-Gang),김연아(Kim Yeon-Ah),최창호(Choi Chang-Ho) 한국건축친환경설비학회 2013 한국건축친환경설비학회 논문집 Vol.7 No.4
The purpose of this study is to develope the prediction equation of Equivalent U-value(Ueq) that include thermal bridge in composite timber-framed structure using statistical method. Specifically, in order to draw regression equation, total 226 cases of heat transfer simulation were performed controlling influence of independent variables from Ueq and Linear Thermal transmission(Ψ) in timber frame, then the high influence independent variables were selected through Hierarchical regression analysis. The selected independent variables for regression equation are the timber frame ratio, the timber frame thermal conductivity, and the insulation thermal conductivity. The prediction equation was observed sufficiently accurate as R-squared(0.9 and more) and ANOVA of significance level(P<0.0001) based on analyzed results of R-squared and Analysis of Variance(ANOVA). The comparison between results of the prediction value and the heat transfer simulation, Ueq was calculated an average errors(1.7%) and maximum errors(4.6%) that presented high reliability result. According to this prediction equation, timber frame of energy performance evaluation will be accurate and expeditious, and we will enhance type of specification and shape in order to draw more accurate prediction equation.
장향인(Jang Hyang-In),김연아(Kim Yeon-Ah),안형준(Ann Hyung-June),박창영(Park Chang Young),최창호(Choi Chang-Ho) 한국건축친환경설비학회 2014 한국건축친환경설비학회 논문집 Vol.8 No.1
The buildings aged over 15 years old which require remodeling in Korea account for around 65% of seven million buildings. The purpose of this study is to suggest ‘Integrated Envelope Design Method’ which is capacity optimization of heat sauce and HVAC equipment through reduction of load for green remodeling. For this, the affection of energy saving was compared between existing envelope design method and integrated envelope design method. As a result, the energy was reduced more than 10% by capacity optimization system and it is assumed saving of initial investment and operational cost. Furthermore, the comparison of various building and economic evaluation are planning to analysis.