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International Journal of Polymer Science
Volume 2017, Article ID 6792621, 9 pages
https://doi.org/10.1155/2017/6792621
Research Article

Empirical Validation of Heat Transfer Performance Simulation of Graphite/PCM Concrete Materials for Thermally Activated Building System

1Department of Architectural Engineering, Ewha Womans University, Seoul, Republic of Korea
2School of Architecture, Soongsil University, Seoul, Republic of Korea

Correspondence should be addressed to Jae-Han Lim; rk.ca.ahwe@0timil

Received 13 October 2016; Accepted 4 January 2017; Published 18 January 2017

Academic Editor: Cornelia Vasile

Copyright © 2017 Jin-Hee Song et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

To increase the heat capacity in lightweight construction materials, a phase change material (PCM) can be introduced to building elements. A thermally activated building system (TABS) with graphite/PCM concrete hollow core slab is suggested as an energy-efficient technology to shift and reduce the peak thermal load in buildings. An evaluation of heat storage and dissipation characteristics of TABS in graphite/PCM concrete has been conducted using dynamic simulations, but empirical validation is necessary to acceptably predict the thermal behavior of graphite/PCM concrete. This study aimed to validate the thermal behavior of graphite/PCM concrete through a three-dimensional transient heat transfer simulation. The simulation results were compared to experimental results from previous studies of concrete and graphite/PCM concrete. The overall thermal behavior for both materials was found to be similar to experiment results. Limitations in the simulation modeling, which included determination of the indoor heat transfer coefficient, assumption of constant thermal conductivity with temperature, and assumption of specimen homogeneity, led to slight differences between the measured and simulated results.