Parametric analysis for performance enhancement of phase change materials in naturally ventilated buildings

被引：62
|
作者：
Ramakrishnan, Sayanthan [1 ]
Wang, Xiaoming [2 ,3 ]
Alam, Morshed [1 ]
Sanjayan, Jay [1 ]
Wilson, John [1 ]
机构：
[1] Swinburne Univ Technol, Fac Sci Engn & Technol, Ctr Sustainable Infrastruct, Hawthorn, Vic 3122, Australia
[2] CSIRO, Climate Adaptat Flagship, POB 5,Box 56,Graham Rd, Highett, Vic 3190, Australia
[3] CSIRO, Sustainable Ecosyst, POB 5,Box 56,Graham Rd, Highett, Vic 3190, Australia
来源：
ENERGY AND BUILDINGS | 2016年 / 124卷
关键词：
Phase change materials (PCMs); Thermal comfort; Building thermal simulation; Building thermal performance; Thermal storage efficiency; THERMAL-ENERGY STORAGE; PCM; COMFORT; SIMULATION;
D O I：
10.1016/j.enbuild.2016.04.065
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper presents a design optimization related to the application of phase change materials within buildings, which aims to maximize the utilization of latent heat capacity to improve indoor thermal comfort during summer season. Two performance indicators are developed: efficiency coefficient (a representation of the effective utilization of latent heat storage capacity) and effectiveness coefficient (a representation of improvement of indoor thermal comfort). A series of parameters which influence the efficiency coefficient and effectiveness coefficient are identified and then formulated to quantify those coefficients for optimal design. With the performance indicators defined, a case study is performed in a typical standard Australian residential house to derive the optimized design of PCM refurbishment utilizing the developed performance indicators. Results reveal that the performance indicators are effective in the selection of optimum PCM configurations so that the resultant PCM storage efficiency and indoor thermal comfort are optimized. This is particularly demonstrated by the significant enhancement of storage efficiency and effectiveness of optimized PCM compared to non-optimized cases for each climate conditions. Furthermore, an optimized PCM condition is found to be more cost-effective than the non-optimized conditions. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：35 / 45
页数：11
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