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Experimental study and numerical modelling of high temperature gas/solid packed-bed heat storage systems

Author

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  • Esence, Thibaut
  • Desrues, Tristan
  • Fourmigué, Jean-François
  • Cwicklinski, Grégory
  • Bruch, Arnaud
  • Stutz, Benoit

Abstract

Two pilot-scale regenerative heat storage systems have been tested by the French Alternative Energies and Atomic Energy Commission (CEA). The first one is a 1.1-MWhth structured packed bed consisting of ceramic plates forming corrugated channels. The second one is a 1.4-MWhth granular packed bed consisting of basaltic rocks enclosed by refractory walls. The two regenerators were tested over a hundred of thermal cycles between 80 °C and 800 °C with different fluid mass flows. Both systems showed their ability to store heat efficiently and to provide thermal energy at a stable temperature for the most part of the discharge process. The granular packed bed exhibited large transverse thermal heterogeneities due to flow channelling in the corners of the cross section. However, this phenomenon appears not to have degraded significantly the thermal performances, and the average one-dimensional thermal behaviour of the system may be assessed by the surface weighted average of the temperature over the bed cross section. Compared to the granular packed bed, the structured bed showed comparable thermal performances while inhibiting flow heterogeneities and reducing by up to 54% the average pressure drop. Furthermore, at the end of the test campaign, the packed beds were observed and compared from a mechanical point of view. The thermal results were successfully simulated over numerous charge/discharge cycles by using a one-dimensional numerical model. This is significant since the discrepancies between experimental and numerical results are likely to accumulate from a cycle to the other. The model considers the packed beds as continuous and homogeneous porous media but takes the conduction resistances within the solid filler and the walls into account. The pressure drop of the beds was computed using a correlation developed from a previous CFD study for the structured packed bed, and the Ergun equation for the granular packed bed. Compared to experimental data, these correlations enabled to estimate the order of magnitude and the evolution trend of the pressure drop with an average deviation ranging from −7.2% to +61.9%. For the granular packed bed, these deviations are ascribed to the flow heterogeneities and the shape of the rocks which are not taken into account in the Ergun equation.

Suggested Citation

  • Esence, Thibaut & Desrues, Tristan & Fourmigué, Jean-François & Cwicklinski, Grégory & Bruch, Arnaud & Stutz, Benoit, 2019. "Experimental study and numerical modelling of high temperature gas/solid packed-bed heat storage systems," Energy, Elsevier, vol. 180(C), pages 61-78.
  • Handle: RePEc:eee:energy:v:180:y:2019:i:c:p:61-78
    DOI: 10.1016/j.energy.2019.05.012
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    References listed on IDEAS

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    1. Dreißigacker, Volker & Zunft, Stefan & Müller-Steinhagen, Hans, 2013. "A thermo-mechanical model of packed-bed storage and experimental validation," Applied Energy, Elsevier, vol. 111(C), pages 1120-1125.
    2. Hartmann, Niklas & Vöhringer, O. & Kruck, C. & Eltrop, L., 2012. "Simulation and analysis of different adiabatic Compressed Air Energy Storage plant configurations," Applied Energy, Elsevier, vol. 93(C), pages 541-548.
    3. Esence, Thibaut & Bruch, Arnaud & Fourmigué, Jean-François & Stutz, Benoit, 2019. "A versatile one-dimensional numerical model for packed-bed heat storage systems," Renewable Energy, Elsevier, vol. 133(C), pages 190-204.
    4. Sciacovelli, A. & Vecchi, A. & Ding, Y., 2017. "Liquid air energy storage (LAES) with packed bed cold thermal storage – From component to system level performance through dynamic modelling," Applied Energy, Elsevier, vol. 190(C), pages 84-98.
    5. González, Ignacio & Pérez-Segarra, Carlos David & Lehmkuhl, Oriol & Torras, Santiago & Oliva, Assensi, 2016. "Thermo-mechanical parametric analysis of packed-bed thermocline energy storage tanks," Applied Energy, Elsevier, vol. 179(C), pages 1106-1122.
    6. Attonaty, Kevin & Stouffs, Pascal & Pouvreau, Jérôme & Oriol, Jean & Deydier, Alexandre, 2019. "Thermodynamic analysis of a 200 MWh electricity storage system based on high temperature thermal energy storage," Energy, Elsevier, vol. 172(C), pages 1132-1143.
    7. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    8. Sciacovelli, Adriano & Li, Yongliang & Chen, Haisheng & Wu, Yuting & Wang, Jihong & Garvey, Seamus & Ding, Yulong, 2017. "Dynamic simulation of Adiabatic Compressed Air Energy Storage (A-CAES) plant with integrated thermal storage – Link between components performance and plant performance," Applied Energy, Elsevier, vol. 185(P1), pages 16-28.
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    Cited by:

    1. Vannerem, S. & Neveu, P. & Falcoz, Q., 2023. "Thermal cycle performance of thermocline storage: numerical and experimental exergy analysis," Energy, Elsevier, vol. 278(C).
    2. Chen, Leisheng & Lee, Jaeyoung, 2020. "Effect of pebble diameters on the heat transfer characteristics of a structured pebble bed in an HTGR," Energy, Elsevier, vol. 212(C).
    3. Calderón-Vásquez, Ignacio & Cortés, Eduardo & García, Jesús & Segovia, Valentina & Caroca, Alejandro & Sarmiento, Cristóbal & Barraza, Rodrigo & Cardemil, José M., 2021. "Review on modeling approaches for packed-bed thermal storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    4. Kothari, Rohit & Hemmingsen, Casper Schytte & Voigt, Niels Vinther & La Seta, Angelo & Nielsen, Kenny Krogh & Desai, Nishith B. & Vijayan, Akhil & Haglind, Fredrik, 2024. "Numerical and experimental analysis of instability in high temperature packed-bed rock thermal energy storage systems," Applied Energy, Elsevier, vol. 358(C).
    5. Zhang, Kai & Du, Shiqi & Sun, Peng & Zheng, Bin & Liu, Yongqi & Shen, Yingkai & Chang, RunZe & Han, Xiaobiao, 2021. "The effect of particle arrangement on the direct heat extraction of regular packed bed with numerical simulation," Energy, Elsevier, vol. 225(C).

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