Building design and thermal renovation measures proposal by means of regression models issued from dynamic simulations

T. Catalina (1) , J. Virgone (1) , Eric Blanco (2)

1 CETHIL - Centre de Thermique de Lyon
2 AMPERE - Ampère

This paper presents the heating demand evaluation by means of regression models obtained from a parametrical study of dynamic simulations data. The aim of these models is to be used by architects or design engineers as support tools in the very first stage of the building design and also in thermal rehabilitation of new or existing constructions. These models are based on five input parameters, among them the building shape factor, climate coefficient or south equivalent surface. Compared to the dynamic simulations results, a maximum error of 7% is observed for all the validation cases. Probably the most important advantage of the models is that parametric studies could be done in a fast way compared to a simulation analysis. They could be used to make comparison between different energy reduction strategies, like improving the insulation levels or increasing the thermal inertia. An example of their use and a data comparison with a dynamic simulation is shown in last part of this research paper.

Domaines: Thermique [physics.class-ph]; Thermique [physics.class-ph]

T. Catalina, J. Virgone, Eric Blanco. Building design and thermal renovation measures proposal by means of regression models issued from dynamic simulations. Clima 2010, May 2010, Antalya, Turkey. pp.8 PAGES. ⟨hal-00553862⟩