Optimization of Photovoltaic Integrated Cold Storage Systems Utilizing Aluminum Oxide Nanoparticle-Enhanced Phase Change Materials for enhancing Supply chain management in refrigeration vehicle

Abstract

The integration of photovoltaic (PV) systems with cold storage technologies offers a sustainable approach to energy management by harnessing solar energy for enhancing supply chain management. This study investigates the optimization of aluminum oxide (Al₂O₃) nanoparticle-enhanced phase change materials (PCMs) within PV-integrated cold storage systems to improve thermal conductivity and energy efficiency. Through the use of genetic algorithms (GA) and particle swarm optimization (PSO), the research identifies the optimal (Al₂O₃) nanoparticle concentration to minimize PCM operating temperatures and enhance energy savings. The study evaluates various concentrations, taking into account key operational parameters such as ambient temperature, thermal conductivity, and storage efficiency. Sensitivity analysis was conducted to understand the influence of these factors on system performance, providing insights for more efficient and cost-effective cold storage solutions. The findings highlightes the potential of nanoparticle-enhanced PCMs to increase the overall energy efficiency of PV-integrated systems, contributing to advancements in sustainable energy technology.