Computational Fluid Dynamic Modeling of Latent Heat Discharge in a Macro-Encapsulated Phase Change Material Device

2009 ◽  
Author(s):  
Myron Maurer ◽  
David Bank ◽  
Andrey Soukhojak ◽  
Kalyan Sehanobish ◽  
Avinash Khopkar ◽  
...  
Keyword(s):  
Phase Change ◽  
Phase Change Material ◽  
Latent Heat ◽  
Dynamic Modeling ◽  
Computational Fluid Dynamic ◽  
Fluid Dynamic ◽  
Encapsulated Phase Change Material ◽  
Change Material ◽  
Computational Fluid Dynamic Modeling

A Simplified Model for Encapsulated Phase Change Material

1999 ◽  
Author(s):  
Linda J. Hayes ◽  
Michael A. Spieker ◽  
Eugene H. Wissler ◽  
David P. Colvin
Keyword(s):  
Phase Change ◽  
Phase Change Material ◽  
Thermal Management ◽  
Latent Heat ◽  
Phase Change Materials ◽  
Flow In Porous Media ◽  
Simplified Model ◽  
Encapsulated Phase Change Material ◽  
Change Material ◽  
Conductive Media

Abstract One of the emerging technologies of this decade is macroencapsulated phase change materials (PCM), which is being developed to provide significantly enhanced thermal management for coolants, textile fibers, foams, composites and coatings with applications to avionics, spacesuits, machine coolants, apparel, packaging, and agriculture (Kaska and Chen, 1985, Colvin and Mulligan 1989). The encapsulated PCM is embedded or suspended in a conductive media. The characteristics of the capsules, the phase change material and the conductive media can be designed so as to provide enhanced thermal management in a wide variety of applications. The traditional way to model this system is to take a macroscopic view of the entire system, to use a volume averaged value for the release of latent heat from the PCM and to incorporate this term into the standard heat conduction equation. We propose a simplified model which has its origins in flow in porous media. The system is modeled with two components, the underlying conductive material and the phase change capsules. The amount of latent heat released from the PCM capsules is determined by the local temperature in the capsules, which can differ from the temperature in the conducting media. This model closely represents the physical systems which are being modeled Numerical results using this model are compared to experimental data from a garment layer which is constructed using macroencapsulated PCM capsules.

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