Temperature-Energy Relationships and Spatial Distribution Analysis for Nano-Enhanced Phase Change Materials Via Thermal Energy Storage

Abstract

Despite the abundance and affordability of solar energy, its adoption in industrial and domestic sectors, especially in developing countries, still needs to be improved. This study addresses the gap by proposing integrated storage systems to align energy supply and demand, essential for various industrial processes. Investigating Nano-enhanced Phase Change Material (PCM), the research formulates governing equations for the phase change process, explores numerical simulations using MATLAB's Finite Volume Method, and validates models. The PCM comprises a solid salt mixture with Sodium Chloride Nanoparticles. The analysis of nano-enhanced PCMs for thermal energy storage focuses on understanding the interrelationship between temperature, energy, and nanoparticle distribution within the PCM. Visuals based on 3D surface plots and scatter plots illustrate how energy storage characteristics vary with temperature and spatial variables, identifying phase change temperatures and energy absorption/release points. These visualizations guide PCM optimization for improved thermal conductivity and heat capacity, which is crucial for diverse applications like solar energy systems and thermal management in electronics. Nano-enhanced PCM performance can be further enhanced by employing advanced numerical methods and simulation tools for accurate prediction and optimization before experimental validation.