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Numerical study on heat transfer enhancement of PCM using three combined methods based on heat pipe

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  • Zhang, Chunwei
  • Yu, Meng
  • Fan, Yubin
  • Zhang, Xuejun
  • Zhao, Yang
  • Qiu, Limin

Abstract

The latent thermal energy storage (LTES) system, which uses phase change materials (PCMs), has received a great deal of attention as an effective means of storing thermal energy. However, because of the low thermal conductivity of most PCMs, there is still an urgent need to develop efficient heat transfer enhancement techniques. In this study, a novel combination of heat pipe-fins-copper foam (HP-Fin-CF) has been proposed, and its performance was evaluated via comparisons to the performances of HP-Fin and HP-CF combinations. The effective heat capacity method and thermal resistance network are used in numerical modeling. The results indicate that the HP-Fin combination has better melting performance, whereas the HP-CF combination leads to better solidification. Compared with the basic HP configuration, the total time for melting and solidification can be reduced by 82.70%, 89.03%, and 93.34% for the HP-Fin, HP-CF, and HP-Fin-CF combinations, respectively. The evolution of melting rates suggests that natural convection accelerates the melting of the PCM with the HP-Fin and HP-Fin-CF combinations, but may extend the complete melting time of the PCM in the HP-CF combination under some specific conditions. Also, the exergy analysis was performed to study the thermodynamic properties of the three combinations.

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  • Zhang, Chunwei & Yu, Meng & Fan, Yubin & Zhang, Xuejun & Zhao, Yang & Qiu, Limin, 2020. "Numerical study on heat transfer enhancement of PCM using three combined methods based on heat pipe," Energy, Elsevier, vol. 195(C).
  • Handle: RePEc:eee:energy:v:195:y:2020:i:c:s0360544219325046
    DOI: 10.1016/j.energy.2019.116809
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    6. Jana Shafi & Mikhail Sheremet & Mehdi Fteiti & Abdulkafi Mohammed Saeed & Mohammad Ghalambaz, 2023. "Computational Study of Phase Change Heat Transfer and Latent Heat Energy Storage for Thermal Management of Electronic Components Using Neural Networks," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    7. Wołoszyn, Jerzy & Szopa, Krystian, 2023. "A combined heat transfer enhancement technique for shell-and-tube latent heat thermal energy storage," Renewable Energy, Elsevier, vol. 202(C), pages 1342-1356.
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    9. Fan, Yubin & Zhang, Chunwei & Jiang, Long & Zhang, Xuejun & Qiu, Limin, 2022. "Exploration on two-stage latent thermal energy storage for heat recovery in cryogenic air separation purification system," Energy, Elsevier, vol. 239(PB).
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    11. Nemati, H. & Souriaee, V. & Habibi, M. & Vafai, Kambiz, 2023. "Design and Taguchi-based optimization of the latent heat thermal storage in the form of structured porous-coated pipe," Energy, Elsevier, vol. 263(PD).
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    13. Kong, Xiangfei & Zhang, Lanlan & Li, Han & Wang, Yongzhen & Fan, Man, 2022. "Effect of solar energy concentrating and phase change cooling on energy and exergy performance improvement of photovoltaic/thermal systems," Renewable Energy, Elsevier, vol. 197(C), pages 1251-1263.
    14. Hamidi, E. & Ganesan, P.B. & Sharma, R.K. & Yong, K.W., 2023. "Computational study of heat transfer enhancement using porous foams with phase change materials: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
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    16. Saikia, Pranaynil & Bastida, Héctor & Ugalde-Loo, Carlos E., 2024. "An effective predictor of the dynamic operation of latent heat thermal energy storage units based on a non-linear autoregressive network with exogenous inputs," Applied Energy, Elsevier, vol. 360(C).

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