Analysis of conduction mode in cold energy storage using a tank filled with nanomaterial

The intensification of freezing rates through the incorporation of nano-sized powders and fins through a cold storage unit was examined. The Galerkin method with special meshing was utilized to solve equations, which were based on the supposition of conduction mode dominance. Additives of varying diameters (dp) and three different concentration levels (ϕ) were implemented. The findings are presented through ice front visualization, contour plots, and scalar curves. The computational code demonstrated high accuracy during the validation phase. The results reveal that as the dp increases, the solidification time initially drops by approximately 20 %, then subsequently increases by about 49.45 %. The optimal solidification time of 2951.17 s was achieved with medium-sized powders. Furthermore, an intensification in (ϕ) leads to a significant decrement in freezing time by about 41.43 %, with the most pronounced effect observed for nano-powders with dp = 40 nm.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2024-09-20
DOI
https://doi.org/10.1016/j.csite.2024.105134
Citations
3
Primary Topic
Phase Change Materials Research
Type
article
Field-Weighted Citation Impact
0.64
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article

Analysis of conduction mode in cold energy storage using a tank filled with nanomaterial

Mahmood Shaker Albdeiri, Hussein A.Z. AL-bonsrulah, Ali Basem, Mashhour A. Alazwari et al.
3 citations
Case Studies in Thermal Engineering
Phase Change Materials Research
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article

Analysis of conduction mode in cold energy storage using a tank filled with nanomaterial

Mahmood Shaker Albdeiri, Hussein A.Z. AL-bonsrulah, Ali Basem, Mashhour A. Alazwari, Nidal H. Abu‐Hamdeh, Khalid H. Almitani, Galal A. Ahmed Alashaari
article en
3 citations

Abstract

The intensification of freezing rates through the incorporation of nano-sized powders and fins through a cold storage unit was examined. The Galerkin method with special meshing was utilized to solve equations, which were based on the supposition of conduction mode dominance. Additives of varying diameters (dp) and three different concentration levels (ϕ) were implemented. The findings are presented through ice front visualization, contour plots, and scalar curves. The computational code demonstrated high accuracy during the validation phase. The results reveal that as the dp increases, the solidification time initially drops by approximately 20 %, then subsequently increases by about 49.45 %. The optimal solidification time of 2951.17 s was achieved with medium-sized powders. Furthermore, an intensification in (ϕ) leads to a significant decrement in freezing time by about 41.43 %, with the most pronounced effect observed for nano-powders with dp = 40 nm.

Case Studies in Thermal EngineeringVol. 62
Affordable and clean energy
Openalex Percentile: Top 36%
Phase Change Materials Research
0.64
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