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Latent heat of fusion prediction for nanofluid based phase change material

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Abstract This paper presents a study on the effect of mass fraction of nanoparticles, cooling rates and prediction of latent heat of fusion for Barium Chloride Dehydrate solutions (BaCl2·2H2O) by… Click to show full abstract

Abstract This paper presents a study on the effect of mass fraction of nanoparticles, cooling rates and prediction of latent heat of fusion for Barium Chloride Dehydrate solutions (BaCl2·2H2O) by separately adding a mass fraction of 0.2 wt%–1 wt% magnesium oxide (MgO) and multi-walled carbon nanotubes (MWCNTs) and various cooling rates applied. The data was then compared with existing prediction model and a new correlation developed. The results show that the latent heat of fusion reduced by 7% and 5.2% for MWCNT and MgO nanofluids respectively at a mass fraction of 1 wt% and at a cooling rate of 5 °C/min. Mass loss equation maximum deviation was 5.55% and 4.16% for MWCNT and MgO nanofluid respectively at a mass fraction of 1 wt% and at a cooling rate of 5 °C/min. The new correlation maximum absolute deviation was 1.2% at a mass fraction of 0.4 wt% and at a cooling rate of 5 °C/min for MWCNT nanofluid while for MgO nanofluid, the deviation was 1.7% at a mass fraction of 1 wt% and at a cooling rate of 10 °C/min confirming the accuracy of the new correlation and therefore can be applied to predict the latent heat of fusion of any nanofluid.

Keywords: mass fraction; latent heat; heat fusion

Journal Title: Applied Thermal Engineering
Year Published: 2017

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