Simulation of cold energy storage in a nanomaterial-filled container using the Galerkin method
This research examines the transient solidification through a geometrically complex tank containing multiple corners, which hinder uniform cold energy distribution. To improve heat transfer in these regions, tree-shaped fins were integrated into the design. The tank was filled with water (H2O), and...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25008779 |
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| author | Nidal H. Abu-Hamdeh Ali Basem Hussein A.Z. AL-bonsrulah Mashhour A. Alazwari Sherain M.Y. Mohamed Abdulmalik A. Aljinaidi |
| author_facet | Nidal H. Abu-Hamdeh Ali Basem Hussein A.Z. AL-bonsrulah Mashhour A. Alazwari Sherain M.Y. Mohamed Abdulmalik A. Aljinaidi |
| author_sort | Nidal H. Abu-Hamdeh |
| collection | DOAJ |
| description | This research examines the transient solidification through a geometrically complex tank containing multiple corners, which hinder uniform cold energy distribution. To improve heat transfer in these regions, tree-shaped fins were integrated into the design. The tank was filled with water (H2O), and thermal conductivity was enhanced by introducing nano-powders. The study primarily focused on two key factors: the shape of the nano-powders and their concentration. Given that conduction dominated the heat transfer process, the governing equations were simplified accordingly. A homogeneous mixture model was applied to estimate the nanomaterial properties, assuming a uniform dispersion of nanoparticles within the fluid. The findings revealed that freezing pure water took approximately 1.36 times longer than water containing nanoparticles, demonstrating the thermal enhancement achieved with nanomaterials. Additionally, the results highlighted the efficacy of additives shape on the freezing rate, with blade-shaped particles accelerating solidification more effectively than cylindrical ones. Specifically, freezing with cylindrical powders required about 1.07 times longer than with blade-shaped powders. |
| format | Article |
| id | doaj-art-3a5242c7a40e45bb80080dbaa0f4cd0f |
| institution | Matheson Library |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-3a5242c7a40e45bb80080dbaa0f4cd0f2025-07-05T04:47:11ZengElsevierCase Studies in Thermal Engineering2214-157X2025-09-0173106617Simulation of cold energy storage in a nanomaterial-filled container using the Galerkin methodNidal H. Abu-Hamdeh0Ali Basem1Hussein A.Z. AL-bonsrulah2Mashhour A. Alazwari3Sherain M.Y. Mohamed4Abdulmalik A. Aljinaidi5Center of Research Excellence in Renewable Energy and Power Systems/Energy Efficiency Group, King Abdulaziz University, Jeddah, Saudi Arabia; Mechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia; Corresponding author. Center of Research Excellence in Renewable Energy and Power Systems/Energy Efficiency Group, King Abdulaziz University, Jeddah, Saudi Arabia.Air Conditioning Engineering Department, Faculty of Engineering, Warith Al-Anbiyaa University, Karbala, 56001, IraqDepartment of Medical Instrumentation Engineering Techniques, Al Safwa University College, Karbala, 56001, IraqMechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi ArabiaMathematical Department in College of Science and Humanities in Hotat Bani Tamim. Prince Sattam bin Abdul- Aziz University, Alkharj, 11942, Saudi ArabiaMechanical Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi ArabiaThis research examines the transient solidification through a geometrically complex tank containing multiple corners, which hinder uniform cold energy distribution. To improve heat transfer in these regions, tree-shaped fins were integrated into the design. The tank was filled with water (H2O), and thermal conductivity was enhanced by introducing nano-powders. The study primarily focused on two key factors: the shape of the nano-powders and their concentration. Given that conduction dominated the heat transfer process, the governing equations were simplified accordingly. A homogeneous mixture model was applied to estimate the nanomaterial properties, assuming a uniform dispersion of nanoparticles within the fluid. The findings revealed that freezing pure water took approximately 1.36 times longer than water containing nanoparticles, demonstrating the thermal enhancement achieved with nanomaterials. Additionally, the results highlighted the efficacy of additives shape on the freezing rate, with blade-shaped particles accelerating solidification more effectively than cylindrical ones. Specifically, freezing with cylindrical powders required about 1.07 times longer than with blade-shaped powders.http://www.sciencedirect.com/science/article/pii/S2214157X25008779NanoparticlesMesh adaptionFreezing timeSolid frontImplicit methodConduction mode |
| spellingShingle | Nidal H. Abu-Hamdeh Ali Basem Hussein A.Z. AL-bonsrulah Mashhour A. Alazwari Sherain M.Y. Mohamed Abdulmalik A. Aljinaidi Simulation of cold energy storage in a nanomaterial-filled container using the Galerkin method Case Studies in Thermal Engineering Nanoparticles Mesh adaption Freezing time Solid front Implicit method Conduction mode |
| title | Simulation of cold energy storage in a nanomaterial-filled container using the Galerkin method |
| title_full | Simulation of cold energy storage in a nanomaterial-filled container using the Galerkin method |
| title_fullStr | Simulation of cold energy storage in a nanomaterial-filled container using the Galerkin method |
| title_full_unstemmed | Simulation of cold energy storage in a nanomaterial-filled container using the Galerkin method |
| title_short | Simulation of cold energy storage in a nanomaterial-filled container using the Galerkin method |
| title_sort | simulation of cold energy storage in a nanomaterial filled container using the galerkin method |
| topic | Nanoparticles Mesh adaption Freezing time Solid front Implicit method Conduction mode |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25008779 |
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