Empirical Validation of a Thermal Model of a Complex Roof Including Phase Change Materials
Stéphane Guichard,
Frédéric Miranville,
Dimitri Bigot,
Bruno Malet-Damour,
Teddy Libelle,
Harry Boyer
Affiliations
Stéphane Guichard
Research Institute in Innovation and Business Sciences (IRISE) Laboratory/Superior Industrial Center Study (CESI)-Reunion Chamber of Commerce and Industry (CCIR)/Regional Centre for the Innovation and Transfer of Technologies (CRITT), The CESI engineering school, Campus Pro—CCIR 65 rue du Père Lafosse-Boîte n°4, Saint-Pierre 97410, France
Frédéric Miranville
Physics and Mathematical Engineering Laboratory for Energy, Environment and Building (PIMENT), University of Reunion, 117, rue du Général Ailleret Le Tampon 97430, France
Dimitri Bigot
Physics and Mathematical Engineering Laboratory for Energy, Environment and Building (PIMENT), University of Reunion, 117, rue du Général Ailleret Le Tampon 97430, France
Bruno Malet-Damour
Physics and Mathematical Engineering Laboratory for Energy, Environment and Building (PIMENT), University of Reunion, 117, rue du Général Ailleret Le Tampon 97430, France
Teddy Libelle
Physics and Mathematical Engineering Laboratory for Energy, Environment and Building (PIMENT), University of Reunion, 117, rue du Général Ailleret Le Tampon 97430, France
Harry Boyer
Physics and Mathematical Engineering Laboratory for Energy, Environment and Building (PIMENT), University of Reunion, 117, rue du Général Ailleret Le Tampon 97430, France
This paper deals with the empirical validation of a building thermal model of a complex roof including a phase change material (PCM). A mathematical model dedicated to PCMs based on the heat apparent capacity method was implemented in a multi-zone building simulation code, the aim being to increase the understanding of the thermal behavior of the whole building with PCM technologies. In order to empirically validate the model, the methodology is based both on numerical and experimental studies. A parametric sensitivity analysis was performed and a set of parameters of the thermal model has been identified for optimization. The use of the generic optimization program called GenOpt® coupled to the building simulation code enabled to determine the set of adequate parameters. We first present the empirical validation methodology and main results of previous work. We then give an overview of GenOpt® and its coupling with the building simulation code. Finally, once the optimization results are obtained, comparisons of the thermal predictions with measurements are found to be acceptable and are presented.