Performance of hybrid nano-PCM composite: Insights from T-history method and numerical analysis

Abstract

Thermal energy storage is a crucial aspect of many industrial and energy-related applications, and Phase Change Materials (PCM) have emerged as a promising solution to the problem of storing heat energy in a compact and efficient form. However, the low thermal conductivity of PCM limits its applications, necessitating the development of innovative approaches to enhance their performance. This research article presents a novel approach for improving the thermal conductivity of PCM by incorporating a hybrid nanoparticle made of aluminium oxide (nAl2O3) and Graphene nano Platelets (GnP) together with fins. The selection of nanoparticles is made using Multi-Criteria Decision Making (MCDM) techniques. Moreover, the study compared conventional methods of measuring the thermophysical properties of the PCM, such as Differential Scanning Calorimetry (DSC), with the T-history method. Finally, the performance of the hybrid nano-PCM composite was analysed through numerical analysis of a latent heat storage unit having tapered fins stacked with the hybrid nano-PCM composite. The results indicate that the incorporation of hybrid nanoparticles can significantly alter the thermophysical characteristics of the base PCM. Moreover, the T-history method provides a reliable and cost-effective alternative to conventional methods for measuring the thermo-physical properties of the hybrid nanocomposite. Finally, the numerical analysis of the latent heat storage unit having tapered fins stacked with nano-PCM composite confirms the significant improvement in melting rate and highlights the potential of the hybrid nano-PCM composite for various industrial and energy-related applications.