Identification of Thermal Characteristics of a Building

The coupling of a direct thermal calculation with an optimization algorithm to achieve the identification of the thermal characteristics of a building structure is presented in this paper. The resolution of the direct thermal calculation is based on an electric network representation, based on a numerical solution using the finite differences method. The optimization model minimizes a criterion such as « least squares » between the wished temperatures inside the building and the model respond (time domain) by an inverse iterative algorithm « Reflective Newton ». The proposed optimization model is then validated with an experimental case, a closed wooden structure with one heated side.

[1]  H. Asan,et al.  Investigation of wall's optimum insulation position from maximum time lag and minimum decrement factor point of view , 2000 .

[2]  Vincent Sambou,et al.  Thermal optimization of multilayered walls using genetic algorithms , 2009 .

[3]  Mohammed Al-Khawaja,et al.  Determination and selecting the optimum thickness of insulation for buildings in hot countries by accounting for solar radiation , 2004 .

[4]  Dennis L. Loveday,et al.  The influence on building thermal behavior of the insulation/masonry distribution in a three-layered construction , 1997 .

[5]  Constantinos A. Balaras,et al.  The role of thermal mass on the cooling load of buildings. An overview of computational methods , 1996 .

[6]  M. F. Zedan,et al.  Effect of electricity tariff on the optimum insulation-thickness in building walls as determined by a dynamic heat-transfer model , 2005 .

[7]  Koray Ulgen,et al.  Experimental and theoretical investigation of effects of wall’s thermophysical properties on time lag and decrement factor , 2002 .

[8]  Haji Hassan Masjuki,et al.  CORRELATION BETWEEN THERMAL CONDUCTIVITY AND THE THICKNESS OF SELECTED INSULATION MATERIALS FOR BUILDING WALL , 2007 .

[9]  H. Asan,et al.  Effects of wall's insulation thickness and position on time lag and decrement factor , 1998 .

[10]  Thomas F. Coleman,et al.  An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds , 1993, SIAM J. Optim..

[11]  Andrew G. Alleyne,et al.  IDENTIFICATION OF BUILDING MODEL PARAMETERS AND LOADS USING ON-SITE DATA LOGS , 2008 .

[12]  H. Asan,et al.  Effects of Wall's thermophysical properties on time lag and decrement factor , 1998 .

[13]  Kemal Çomaklı,et al.  Optimum insulation thickness of external walls for energy saving , 2003 .

[14]  K. A. Antonopoulos,et al.  Apparent and effective thermal capacitance of buildings , 1998 .

[15]  T. Coleman,et al.  On the Convergence of Reflective Newton Methods for Large-scale Nonlinear Minimization Subject to Bounds , 1992 .