Multi-scale composite models for the effective thermal conductivity of PCM-concrete

被引:52
|
作者
Meshgin, Pania [1 ]
Xi, Yunping [1 ]
机构
[1] Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA
基金
美国国家科学基金会;
关键词
Composite; Concrete; Generalized self-consistent model; Phase change material; Thermal conductivity; PHASE-CHANGE MATERIALS;
D O I
10.1016/j.conbuildmat.2013.06.068
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Encapsulated phase change materials (PCMs) were used in concrete to improve thermal properties of the concrete, called PCM-concrete. This paper presents the predictions of the effective thermal conductivity of PCM-concrete using different composite models, such as the parallel, the series models, Maxwell model and Generalized Self-Consistent (GSC) model. Multi-phase, multi-scale internal structural models were developed and combined with GSC model to predict the effective thermal conductivity of PCM-concrete. It was found that the configuration of the internal structure for the PCM phase is very important. The PCM phase needs to be considered as a matrix (a thin shell), which can effectively block the heat flow and thus reduce the thermal conductivity of PCM-concrete. The GSC model with the suggested internal structure model can predict the effective thermal conductivity of PCM-concrete. The prediction agreed with test data quite well, and the prediction is within the upper and lower bounds. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:371 / 378
页数:8
相关论文
共 50 条
  • [1] Diurnal thermal analysis of microencapsulated PCM-concrete composite walls
    Thiele, Alexander M.
    Sant, Gaurav
    Pilon, Laurent
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 93 : 215 - 227
  • [2] Investigating the thermal conductivity of concrete/graphene nano composite by a multi-scale modeling approach
    Ahmadi, M.
    Ansari, R.
    Rouhi, S.
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2018, 32 (14):
  • [3] A multi-scale homogenization approach for the effective thermal conductivity of dry lime-hemp concrete
    Nguyen-Sy, T.
    Tran-Le, A. D.
    Nguyen-Thoi, T.
    Langlet, T.
    [J]. JOURNAL OF BUILDING PERFORMANCE SIMULATION, 2018, 11 (02) : 179 - 189
  • [4] Experimental thermal study of a new PCM-concrete thermal storage block (PCM-CTSB)
    Shen, Yongliang
    Liu, Shuli
    Zeng, Cheng
    Zhang, Yanjun
    Li, Yongcai
    Han, Xiaojing
    Yang, Liu
    Yang, Xiu'e
    [J]. CONSTRUCTION AND BUILDING MATERIALS, 2021, 293 (293)
  • [5] Modeling thermal conductivity of aerogel-incorporated concrete: A multi-scale approach
    Han, Fenglei
    Lv, Yang
    Liang, Te
    Zhang, Xuefu
    Yu, Wenbing
    Fu, Xintao
    Deng, Kaiyu
    [J]. Construction and Building Materials, 2024, 450
  • [6] Measurement of PCM-Concrete Composites Thermal Properties for Energy Conservation in Building Material
    Hakim, Imansyah Ibnu
    Putra, Nandy
    Agustin, Prastika Dwi
    [J]. 4TH INTERNATIONAL TROPICAL RENEWABLE ENERGY CONFERENCE (I-TREC 2019), 2020, 2255
  • [7] On multi-scale percolation behaviour of the effective conductivity for the lattice model
    Olchawa, W.
    Wisniowski, R.
    Fraczek, D.
    Piasecki, R.
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 424 : 130 - 141
  • [8] A review of models for effective thermal conductivity of composite materials
    Pietrak, Karol
    Wisniewski, Tomasz S.
    [J]. JOURNAL OF POWER TECHNOLOGIES, 2015, 95 (01): : 14 - 24
  • [9] Multi-scale modeling of thermal conductivity of SiC-reinforced aluminum metal matrix composite
    Dong, Xiangyang
    Shin, Yung C.
    [J]. JOURNAL OF COMPOSITE MATERIALS, 2017, 51 (28) : 3941 - 3953
  • [10] Low thermal conductivity carbon fibrous composite nanomaterial enabled by multi-scale porous structure
    Gbewonyo, Spero
    Carpenter, Alexis W.
    Gause, Charles B.
    Mucha, Nikhil Reddy
    Zhang, Lifeng
    [J]. MATERIALS & DESIGN, 2017, 134 : 218 - 225