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Prediction of the solid effective thermal conductivity of fatty acid/carbon material composite phase change materials based on fractal theory

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  • Song, Yanlin
  • Zhang, Nan
  • Yuan, Yanping
  • Yang, Li
  • Cao, Xiaoling

Abstract

The thermal conductivity of a phase change material (PCM) is an important parameter that affects the heat transfer characteristics of PCM. In this study, the fractal theory is conducted to study the prediction model of the effective thermal conductivity of fatty acid/carbon material composite PCMs in the solid phase. Based on the Sierpinski carpet model of fractal geometry, a series of fractal units with different fractal dimensions are developed for the fatty acid/carbon material composite PCMs. Combined with a self-similar principle and thermal resistance network theory, a general solution for the dimensionless effective thermal conductivity of a typical Sierpinski carpet fractal unit is then derived. Further, dimensionless effective thermal conductivity prediction models of three typical structures of fatty acid/carbon material composite PCMs are obtained by comparing the experimental data. Finally, the thermal conductivity prediction model from this study demonstrated a better reliability than that of the commonly used QP prediction model and Maxwell-Eucken prediction model. This prediction model could be used to predict the effective thermal conductivity of composite PCMs.

Suggested Citation

  • Song, Yanlin & Zhang, Nan & Yuan, Yanping & Yang, Li & Cao, Xiaoling, 2019. "Prediction of the solid effective thermal conductivity of fatty acid/carbon material composite phase change materials based on fractal theory," Energy, Elsevier, vol. 170(C), pages 752-762.
    • Handle: RePEc:eee:energy:v:170:y:2019:i:c:p:752-762
    DOI: 10.1016/j.energy.2018.12.162
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    References listed on IDEAS

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    Cited by:

    1. Lin, Niangzhi & Li, Chuanchang & Zhang, Dongyao & Li, Yaxi & Chen, Jian, 2022. "Emerging phase change cold storage materials derived from sodium sulfate decahydrate," Energy, Elsevier, vol. 245(C).
    2. Tong, Xuan & Li, Nianqi & Zeng, Min & Wang, Qiuwang, 2019. "Organic phase change materials confined in carbon-based materials for thermal properties enhancement: Recent advancement and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 398-422.
    3. Liu, Yang & Sun, Yongjun & Gao, Dian-ce & Tan, Jiaqi & Chen, Yuxin, 2024. "Stacked ensemble learning approach for PCM-based double-pipe latent heat thermal energy storage prediction towards flexible building energy," Energy, Elsevier, vol. 294(C).

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