Abstract

The thermal performance of building envelopes is essential for building thermal comfort and the reduction of building energy requirements. Phase change materials (PCMs) implemented in building envelopes can improve thermal performance. An explicit finite element method (ex-FEM) has been developed based on a previous study to investigate the heat transfer performance through building walls with installed PCMs. For verification, we introduce an electrical circuit analogy (ECA) method. For model validation, at first, COMSOL is used. For comparison, data were collected from experiments using a small hotbox, part of the sides are covered by PCMs with different configurations. This work shows how the ex-FEM model can predict the wall’s temperature profile with and without incorporated PCM. With the implementation of PCMs, the work problematizes unpredictable influences for modeling. In addition, the study introduces results from simulations of sequencing of PCM layers in wall construction.

Highlights

  • To maintain a stable indoor temperature, an effective and efficient heat storage and release system is desired

  • The thermal performance of building envelopes is essential for building thermal comfort and the reduction of building energy requirements

  • Data were collected from experiments using a small hotbox, part of the sides are covered by phase change materials (PCMs) with different configurations

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Summary

Introduction

To maintain a stable indoor temperature, an effective and efficient heat storage and release system is desired. Gounni and Alami [25] investigated optimal locations of PCM in building envelopes In their study, they kept the wall thickness constant, with and without PCM for comparison, but found, contrary to Jin et al [24], that the optimal position of PCM should be close to the heat variation side. Kishore et al (2021) [27] made a sensitivity study of various PCM parameters (including the location of PCM) on thermal performance and load capacity of the PCM integrated lightweight buildings They found a 10% width from the stable temperature side gives the most considerable heat gain reduction for a daily measurement. The value of the heat transfer coefficient on the outside (ho) is adjusted to follow the experimental data of the outside wall

Wall Configurations Studied
Materials
VVaalliiddaation of the Model with ECA
Validation of the Model with COMSOL
Validation of the Model with Experimental Data
Short Summary on the Validation
Proposal of Future Work
Advantage of Using PCM
Short Discussion
Discussion
Conclusions and Recommendations

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