Development of cold storage container with involving new geometry and loading nanoparticles

In current article, a numerical technique was engaged to simulate the cold storage process. To accelerate this process, the enclosure was fitted with fins, and water was mixed with nanoparticles. These nanoparticles, varying in shape and concentration, were extensively analyzed in the results section. The Galerkin method was used and an adaptive technique generated the mesh, with unsteady terms discretized using an implicit approach. It was determined that velocity terms had a negligible effect and were thus omitted. Model verification demonstrated good accuracy, confirming its reliability. The results reveal interesting insights into the impact of shape factor on freezing, showing that an increase in shape factor can boost the freezing rate by around 10.74 %. Besides, the substantial impact of nano-powders on freezing was highlighted. The freezing time for water was 9383.64 s, while the nanofluid case required only 6316.1 s, marking a substantial 32.69 % reduction in freezing time with nanoparticles. This research emphasizes the importance of numerical techniques in modeling cold storage processes, particularly regarding nanoparticles and shape factors. The findings highlight the potential for optimizing cold storage systems to improve efficiency and reduce energy consumption.