Abstract

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.

Highlights

  • Buildings are indisputably considered as one of the largest energy consuming sectors

  • The heat sensors are spread on both sides of the surfaces of the corrugated iron, on the phase change material (PCM) panels and on the drywall

  • The results showed that the numerical thermal model was able to predict the dynamic thermal behavior of PCMs

Read more

Summary

Introduction

Before May 2013, both the thermal behavior of building envelopes including PCM and time-varying thermal properties of materials were not taken into account by ISOLAB. A simplified numerical model of the thermal behavior of PCMs was developed and implemented. Many constraints on the PCM model have been imposed, such as the respect of the state system formalism and the use of an implicit one-dimensional scheme according to the finite difference approach. The apparent heat capacity method has been used

A Building Simulation Code
A Generic Optimization Program
Localization and Structure of the Test Cell
Instrumentation of the Enclosure
Instrumentation of the Roof
Description of the Roofing Complex
Description of Phase Change Material Test
Mathematical Model for Phase Change Material
Main Results
Empirical
Results of the Optimization
The Corroboration Step
Conclusions and Further Works
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call