4.7 Article

Simulation of solidification process of phase change materials in a heat exchanger using branch-shaped fins

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DOI: 10.1016/j.csite.2020.100835

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Heat exchanger; Branch-shaped fins; Thermal energy storage; Heat transfer enhancement; Heat transfer fluid

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The study found that using thinner branch-shaped fins and hybrid Al2O3 - Cu with a volume ratio of 0.04 has a greater impact on the solidification process of phase change materials. Additionally, the use of fins significantly speeds up the solidification process and thinner fins are more effective in increasing heat transfer rate compared to thicker fins. Generally, the simultaneous use of thin branch-shaped fins and nanoparticles with a volume fraction of 0.04 leads to maximum efficiency in the simulation.
Nowadays, due to the global need for energy and the limited amount of fossil fuels, it is required to utilize alternative forms of energy. Thermal energy storage systems together with phase change materials are considered potential options to help achieve renewable energy development goals. Special groups of materials are used for thermal management in thermal processes due to their specific properties such as high latent heat, appropriate phase change temperature, and slight volume change during phase change. In this study, the effects of branch-shaped fins with different thicknesses and lengths on the thermal conductivity of phase change materials are investigated. Furthermore, the different volume ratios is studied. The results show that using thinner branchshaped fins and hybrid Al2O3 - Cu with volume ratio of 0.04 has greater influence on the speed of the solidification process. The results also illustrate that the use of fins significantly speeds up the solidification process. The comparison between thin and thick fins revealed that the thin fin is a more viable option in increasing heat transfer rate. In this simulation, the finite element method has been employed. Generally, simultaneous use of thin branch-shaped fins and nanoparticles with volume fraction 0.04 leads to maximum efficiency in the simulation.

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