A Prediction of Equivalent U-Value in Composite Timber-Frame Structure Using Statistical Method

통계적 방법을 이용한 이질재가 혼합된 목구조의 상당열관류율 예측

  • Yoo, Dong-Chul (Institute of Green Building and New Technology, Mirae Environment Plan) ;
  • Jang, Hyang-In (Institute of Green Building and New Technology, Mirae Environment Plan) ;
  • Ann, Hyung-June (Institute of Green Building and New Technology, Mirae Environment Plan) ;
  • Park, Chang-Young (Institute of Green Building and New Technology, Mirae Environment Plan) ;
  • Kim, Hee-Gang (Institute of Green Building and New Technology, Mirae Environment Plan) ;
  • Kim, Yeon-Ah (Institute of Green Building and New Technology, Mirae Environment Plan) ;
  • Choi, Chang-Ho (Department of Architectural Engineering, Kwangwoon University)
  • 유동철 (미래환경플랜 친환경신기술연구소) ;
  • 장향인 (미래환경플랜 친환경신기술연구소) ;
  • 안형준 (미래환경플랜 친환경신기술연구소) ;
  • 박창영 (미래환경플랜 친환경신기술연구소) ;
  • 김희강 (미래환경플랜 친환경신기술연구소) ;
  • 김연아 (미래환경플랜 친환경신기술연구소) ;
  • 최창호 (광운대학교 건축공학과)
  • Received : 2013.09.23
  • Accepted : 2013.10.18
  • Published : 2013.12.31

Abstract

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(${\Psi}$) 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.

Keywords

Acknowledgement

Supported by : 농림수산식품부