Parametric optimization of a cesaro fins employed latent heat storage system for melting performance enhancement

The large-scale use of sustainable energy necessitates the latent heat storage (LHS). This study aims to increase melting performance an LHS system by designing and optimizing cesaro fins. To examine behaviours PCM (i.e., RT-82) in a finned system, 2-D transfer model is developed numerically solved. As per literature, there very literature including NC (Natural Convection) represents coordination fins, nanoparticles metal foam. So, impacts natural convection, fin arrangement, foam are explored for Fourier number variations from 0.014 0.158 at constant Stefan 0.20. dynamic temperature distribution, as well convection investigated determine how phase change material melts over time considering non-thermal equilibrium between PCM/nanoPCM. findings illustrate that has significant effect on LHTES (Latent Heat Thermal Energy Storage) with 26.8% melting/charging rate compared situation without NC. improved structure Type-3) increased fins Type-5) configurations have more uniform distribution higher increasing cooperation thermal conduction. Low conductivity causes poor (Phase Change Material) devices. greatly this employing porous copper foam) or nanoparticle Cu, CuO Al2O3). impact volume fraction porosity system's also using enthalpy-porosity technique. According results, PCM's lowered 63.4% when mixed incorporated varies decreased nanoparticles. High foams low fractions can since it assures minimum increases convection.