Abstract
In the present study, scaling theory is applied to quantitively analyze the potential of nanoparticles to augment melting processes inside constant thermal capacity and constant volume Thermal Energy Storage (TES) systems. The dimensions of constant thermal capacity TES systems are dynamically adjusted, upon the addition of nanoparticles, to maintain constant thermal capacity. The volume fraction of nanoparticles is optimized to achieve the maximum enhancement in heat transfer, and analytical correlations are developed to estimate the effect of optimal volume fraction of nanoparticles on melting time and mean heat transfer rate. The threshold of nanoparticles to augment melting processes, i.e., maximum enhancement in mean heat transfer and reduction in melting time, is calculated. A critical thermal conductivity ratio of nanoparticles to PCM is identified. Furthermore, numerical analyses are conducted, and the results obtained through numerical analysis show good agreement with analytical results. It is observed that the nanoparticles have the potential to enhance the mean heat transfer rate by up to 67.5%.
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