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Fast and experimentally validated model of a latent thermal energy storage device for system level simulations

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  • Waser, R.
  • Ghani, F.
  • Maranda, S.
  • O'Donovan, T.S.
  • Schuetz, P.
  • Zaglio, M.
  • Worlitschek, J.

Abstract

Latent storages utilising phase change materials (PCM) to store thermal energy offer a considerably higher energy density at a nearly constant temperature level in comparison to sensible storage systems. Despite this advantage, only a few latent storage technologies have been integrated successfully to the market. This may be due several engineering challenges and in particular the lack of a computationally fast and accurate mathematical model to facilitate the optimal incorporation of latent heat storages into an energy system. The presented study fills this gap and proposes a new, fast and experimentally validated mathematical modelling approach for latent heat storage units. The numerical model proposed combines high accuracy, low computational effort and numerical stability. The validation was performed with two different commercial latent storage units supplied by Sunamp Ltd. with a nominal phase change temperatures of 34 °C and of 58 °C. Both units use a salt hydrate based phase change material in combination with a fin-tube heat exchanger. The proposed model may be used for both fast system level performance investigations as well as latent storage design for a given application. It may therefore be implemented in commercial software packages such as TRNSYS [1] or Simulink [2].

Suggested Citation

  • Waser, R. & Ghani, F. & Maranda, S. & O'Donovan, T.S. & Schuetz, P. & Zaglio, M. & Worlitschek, J., 2018. "Fast and experimentally validated model of a latent thermal energy storage device for system level simulations," Applied Energy, Elsevier, vol. 231(C), pages 116-126.
  • Handle: RePEc:eee:appene:v:231:y:2018:i:c:p:116-126
    DOI: 10.1016/j.apenergy.2018.09.061
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    References listed on IDEAS

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    1. Dre Helmns & David H. Blum & Spencer M. Dutton & Van P. Carey, 2021. "Development and Validation of a Latent Thermal Energy Storage Model Using Modelica," Energies, MDPI, vol. 14(1), pages 1-22, January.
    2. Beust, Clément & Franquet, Erwin & Bédécarrats, Jean-Pierre & Garcia, Pierre, 2020. "Predictive approach of heat transfer for the modelling of large-scale latent heat storages," Renewable Energy, Elsevier, vol. 157(C), pages 502-514.
    3. Xi Yang & Yuting Li & Yitao Liu & Qian Li & Tingna Yang & Hongxing Jia, 2024. "Crystal Structure Prediction and Performance Assessment of Hydrogen Storage Materials: Insights from Computational Materials Science," Energies, MDPI, vol. 17(14), pages 1-20, July.
    4. Veronika Stahl & Werner Kraft & Peter Vetter & Florian Feder, 2021. "Simulative Investigation of Thermal Capacity Analysis Methods for Metallic Latent Thermal Energy Storage Systems," Energies, MDPI, vol. 14(8), pages 1-14, April.
    5. Zhao, B.C. & Wang, R.Z., 2020. "A novel 3-D model of an industrial-scale tube-fin latent heat storage using salt hydrates with supercooling: A model validation," Energy, Elsevier, vol. 213(C).
    6. Daniela Dzhonova-Atanasova & Aleksandar Georgiev & Svetoslav Nakov & Stela Panyovska & Tatyana Petrova & Subarna Maiti, 2022. "Compact Thermal Storage with Phase Change Material for Low-Temperature Waste Heat Recovery—Advances and Perspectives," Energies, MDPI, vol. 15(21), pages 1-21, November.

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