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Predicting heterogeneous nucleation in ice slurry refrigeration and thermal energy storage.

Number: 0040

Author(s) : XU M., MOHIT M., GAO Y., SASMITO A.

Summary

Ice slurry, composed of ice crystal particles averaging less than 1 mm in size, exhibits promising fluid and thermal performance owing to its high surface area-to-mass ratio. This makes it a promising refrigerant for renewable cooling and cold thermal energy storage applications. However, the extraction and storage of latent heat in ice slurry depend on a critical parameter: the supercooling degree or nucleation temperature. Accurate and reliable prediction of the supercooling degree in ice slurry is of paramount importance. This study introduces a computationally efficient mathematical framework for forecasting the heterogeneous nucleation phenomenon across various material types during the freezing process. Specifically, classical nucleation theory for heterogeneous nucleation is employed to simulate the nucleation rate and supercooling degree. The predictions are validated against experimental data from the literature, including several nanofluids used in ice slurry applications. The results of this study underline the significant potential of our approach and provide effective guidance for predicting and optimizing heterogeneous nucleation in ice slurry for refrigeration and cold thermal energy storage.

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Pages: 7 p.

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Details

  • Original title: Predicting heterogeneous nucleation in ice slurry refrigeration and thermal energy storage.
  • Record ID : 30032392
  • Languages: English
  • Subject: Technology
  • Source: 14th IIR Conference on Phase-Change Materials and Slurries for Refrigeration and Air Conditioning. Proceedings:  Paris France, May 29-31, 2024.
  • Publication date: 2024/05/31
  • DOI: http://dx.doi.org/10.18462/iir.pcm.2024.0040

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