Numerical investigation and optimization of thermal characteristics in multi-tube phase change heat storage systems
This study focuses on multi-tube thermal energy storage technology, aiming to address the low thermal energy storage efficiency of conventional multi-tube latent heat systems. Through structural design and performance analysis of the multi-tube system, Computational Fluid Dynamics simulations were employed to investigate the internal heat and mass transfer mechanisms. The results demonstrate that the multi-tube configuration significantly enhances energy storage density. Under the same volumetric constraints, the optimal fractal-based simplified structure achieves peak performance with approximately 12 tubes. Compared to traditional non-fractal storage structures, the thermal storage capacity and charging rate increase by 127.32%, while the melting time decreases by 85.47%. A single-factor comprehensive analysis reveals that an eccentric angle of 28.5° yields higher thermal storage capacity and heat transfer rates. Additionally, larger eccentric distance leads to optimal overall heat transfer performance. Finally, multi-objective optimization (NSGA-II) was applied to the system, yielding optimal values for heat storage (1439.39 J) and melting time (364.44 s), with the corresponding distance and angle optimized at 41.59 mm and 29.95°, respectively.
Authors
- Fan Ren (ORCID: https://orcid.org/0000-0001-9191-2010)
- Qibin Li (ORCID: https://orcid.org/0000-0001-9365-3788)
- Wei Yu (ORCID: https://orcid.org/0000-0003-0473-4215)
- Lei Shi (ORCID: https://orcid.org/0000-0002-4026-8066)
Institutions
- Chongqing University (CN)
- Chongqing Institute of Green and Intelligent Technology (CN)
Publication Details
- Journal
- Physics of Fluids
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1063/5.0278065
- Citations
- 5
- Primary Topic
- Phase Change Materials Research
- Type
- article
- Field-Weighted Citation Impact
- 3.57
Funders
- National Natural Science Foundation of China
- Chongqing Graduate Student Research Innovation Project