Multi-scale analysis on thermal properties of cement-based materials containing micro-encapsulated phase change materials

被引:16
|
作者
Jayalath, Amitha [1 ]
Aye, Lu [1 ]
Tuan Ngo [1 ]
Mendis, Priyan [1 ]
机构
[1] Univ Melbourne, Melbourne Sch Engn, Dept Infrastruct Engn, Renewable Energy & Energy Efficiency Grp, Melbourne, Vic 3010, Australia
关键词
Effective thermal properties; Phase change material; Concrete; Modelling; Composite material; Passive thermal storage; ENERGY STORAGE-SYSTEM; MICROENCAPSULATED PCM; FINITE-ELEMENT; CONDUCTIVITY; CONCRETE; PERFORMANCE; COMPOSITES; SIMULATION; MICROSTRUCTURE; BEHAVIOR;
D O I
10.1016/j.conbuildmat.2020.119221
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The incorporation of phase change materials (PCMs) in building envelopes for passive thermal storage can enhance the thermal mass effect and thereby reduce energy consumption. In this investigation, multi-scale analysis of cementitious mortar and concrete containing microencapsulated PCM (MPCM) was performed experimentally and using numerical simulations. A three-dimensional two phase random composite model, which can be integrated with finite element method, was developed to predict the effective thermal properties of cementitious mortar and concrete with MPCM. MPCM was considered as inclusions in a continuous mortar matrix and the latent heat of PCM was incorporated into the simulations. The results showed that the effective thermal conductivity is strongly correlated with the volume fraction of PCM and is independent of the spatial distribution of the inclusions. These predictions were within the upper and lower bounds of parallel and series analytical models and agreed well with the experimental data (correlation coefficient 0.96 for concrete and 0.98 for mortar). Numerical simulations of the macro-scale behaviour of mortar and concrete with PCM for passive thermal storage showed a reduction in the maximum heat flux and time lag effect subjected to diurnal temperature variations. However, an optimum amount of PCM should be selected to fully exploit these passive systems. The developed models can be applied for optimising the design of composites to achieve the best thermal performance. Crown Copyright (C) 2020 Published by Elsevier Ltd. All rights reserved.
引用
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页数:12
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