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Enhancing thermophysical properties of phase change material via alumina and copper nanoparticles

纳米颗粒 材料科学 相变 相变材料 相(物质) 化学工程 纳米技术 化学 冶金 热力学 物理 工程类 有机化学
作者
Mostafa Jafarian,Mónica Delgado,Mahmoud Omid,Majid Khanali,Mozaffar Mokhtari,Ana Lázaro
出处
期刊:International Journal of Energy Research [Wiley]
卷期号:46 (5): 6594-6612 被引量:12
标识
DOI:10.1002/er.7594
摘要

The usage of phase change materials (PCMs) in thermal energy storage (TES) systems has been a promising approach in recent years. An accurate estimation of their thermophysical properties is a key factor in their optimal and efficient performance in TES systems. In this study, aluminum oxide (Al2O3) and copper (Cu) nanoparticles were incorporated in paraffin wax as a PCM to enhance its thermophysical properties. The effects of the nanoparticle type, mass fraction, and its size on the specific heat, density, thermal conductivity, and TES density of the nanocomposites, were investigated. A field emission scanning electron microscope (FESEM) was used to study their morphology. The experiments were based on three factors, nanoparticle type (Al2O3 and Cu), nanoparticle mass fraction (1%, 3%, and 6%), and nanoparticle size (30, 70, and 110 nm), while pure paraffin wax was applied as the control sample. The addition of nanoparticles to paraffin has been proven to be a promising technique. The results showed that the specific heat changes of the NePCMs have not been influenced by the factors under consideration. Also, higher mass fractions and smaller sizes of nanoparticles resulted in higher densities in NePCMs. Moreover, the thermal energy storage density of NePCMs increased at higher loading and smaller size of the nanoparticles. The improvement in thermal conductivity is especially significant if the smallest nanoparticle size with mass fractions of 3% and 6% is used. An improvement in thermal conductivity of up to 72% has been achieved at a mass fraction of 6% of 30 nm copper nanoparticles. Finally, the NePCM containing 6% mass fraction and 30 nm size of the nanoparticle (A6S and C6S) were selected as optimal NePCMs.
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