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Thermal energy storage characteristics of Cu–H2O nanofluids

Author

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  • Wang, X.J.
  • Li, X.F.
  • Xu, Y.H.
  • Zhu, D.S.

Abstract

The thermal energy storage characteristics of Cu–H2O nanofluids as a new PCM (phase change material) for cooling systems was investigated. The influence of the nanoparticle agent on supercooling of water PCMs was experimentally studied. The temperature distribution and the ice shape of the cold storage process were observed on line by using an Infrared Heat Camera and a High Speed Color Digital Camera. A mechanism to improve thermal energy storage characteristic was detailed by measuring the contact angle and thermal conductivity of nanofluids. The experimental results show that the Cu–H2O nanofluids have a remarkably lower supercooling degree than water PCMs, and as the mass fraction increases, the freezing time of Cu–H2O nanofluids is lower than that of water PCMs. By adding 0.1 wt% Cu nanoparticles, the supercooling degree can be reduced by 20.5% and the total freezing time can be reduced by 19.2%. These promising results highlight their great and diverse thermal energy storage applications.

Suggested Citation

  • Wang, X.J. & Li, X.F. & Xu, Y.H. & Zhu, D.S., 2014. "Thermal energy storage characteristics of Cu–H2O nanofluids," Energy, Elsevier, vol. 78(C), pages 212-217.
    • Handle: RePEc:eee:energy:v:78:y:2014:i:c:p:212-217
    DOI: 10.1016/j.energy.2014.10.005
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    References listed on IDEAS

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    1. Oró, E. & de Gracia, A. & Castell, A. & Farid, M.M. & Cabeza, L.F., 2012. "Review on phase change materials (PCMs) for cold thermal energy storage applications," Applied Energy, Elsevier, vol. 99(C), pages 513-533.
    2. Fan, Liwu & Khodadadi, J.M., 2011. "Thermal conductivity enhancement of phase change materials for thermal energy storage: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 24-46, January.
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    Cited by:

    1. Ghazvini, Mahyar & Maddah, Heydar & Peymanfar, Reza & Ahmadi, Mohammad Hossein & Kumar, Ravinder, 2020. "Experimental evaluation and artificial neural network modeling of thermal conductivity of water based nanofluid containing magnetic copper nanoparticles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    2. Alashkar, Adnan & Gadalla, Mohamed, 2017. "Thermo-economic analysis of an integrated solar power generation system using nanofluids," Applied Energy, Elsevier, vol. 191(C), pages 469-491.
    3. Park, Jinsoo & Choi, Sung Ho & Karng, Sarng Woo, 2021. "Cascaded latent thermal energy storage using a charging control method," Energy, Elsevier, vol. 215(PA).
    4. Solangi, K.H. & Kazi, S.N. & Luhur, M.R. & Badarudin, A. & Amiri, A. & Sadri, Rad & Zubir, M.N.M. & Gharehkhani, Samira & Teng, K.H., 2015. "A comprehensive review of thermo-physical properties and convective heat transfer to nanofluids," Energy, Elsevier, vol. 89(C), pages 1065-1086.
    5. Manikandan, S. & Rajan, K.S., 2015. "MgO-Therminol 55 nanofluids for efficient energy management: Analysis of transient heat transfer performance," Energy, Elsevier, vol. 88(C), pages 408-416.

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