Implementation of nanoparticles for expedition of freezing through storage unit involving conduction mechanism

Abstract

This work employs an approach to examine the effects of adding alumina nanoparticles with varying diameters (dp) to water on the productivity of cold storage. Utilizing a finned geometry with a curved cold wall, the mesh configuration was adapted to the solid front's location, and unsteady terms were discretized using implicit methods. The concentration (ϕ) of alumina nanoparticles was also evaluated as a key parameter. Results indicated that increasing the concentration of nanoparticles improved cold storage efficiency by approximately 42.11 %. Among the various sizes, medium-sized nanoparticles were most effective, yielding a 20 % improvement in freezing efficiency compared to the smallest size. Optimal nanoparticle dispersion significantly reduced the required cooling time from 9383.58 s to 5507.129 s. This study highlights the substantial benefits of combining fins and nanoparticles to enhance cold storage systems, presenting a notable advancement in thermal management technology.

Keywords

• Mesh adaption
• Cold energy saving
• Freezing
• Heat conduction
• Nanoparticles
• Numerical unsteady simulation