Thermal simulation of hybrid nanomaterial-assisted freezing in porous media
This work presents a simulation of the transient cold energy storage process in a porous container, accounting for both radiation and conduction mechanisms. The Galerkin method is applied to model the intricate system interactions, while adaptive mesh refinement increases the accuracy of the numeric...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25000474 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This work presents a simulation of the transient cold energy storage process in a porous container, accounting for both radiation and conduction mechanisms. The Galerkin method is applied to model the intricate system interactions, while adaptive mesh refinement increases the accuracy of the numerical simulations. This method provides an in-depth analysis of factors affecting the solidification process. Key findings indicate a substantial reduction in freezing time, as radiation accelerates the solidification period by roughly 57.44 %. Adding nanoscale particles to water further enhances freezing speed, reducing the time by approximately 6.25 %. Moreover, the inclusion of a porous medium significantly boosts thermal conduction, cutting freezing time by an impressive 67.48 %. By combining radiation, conduction, and advanced materials into a unified model. The findings underscore the effectiveness of these enhancements in improving freezing performance, providing valuable insights for advancing cold energy storage systems. This work advances cold storage technology and establishes a high standard for simulation accuracy and process optimization. |
|---|---|
| ISSN: | 2214-157X |