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A numerical modeling study on the influence of porosity changes during thermochemical heat storage

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  • Seitz, Gabriele
  • Helmig, Rainer
  • Class, Holger

Abstract

Thermochemical energy storage can achieve high storage densities as well as nearly loss-free long-term storage, while offering charge or discharge on demand. Suitable materials consist of solid and gaseous components, where the dosage of reacting gas in the reactor can easily be regulated to control the reaction. Most materials currently investigated for thermochemical heat storage feature a volume change of the solid reactive material during the reaction. To study this effect and its influence on the reaction performance, we present a numerical model that can capture the changing hydraulic properties of the solid reactor fill, represented by the parameters porosity and permeability. This model is applied to a quasi-1D setup for the reaction system CaO/Ca(OH)2.

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  • Seitz, Gabriele & Helmig, Rainer & Class, Holger, 2020. "A numerical modeling study on the influence of porosity changes during thermochemical heat storage," Applied Energy, Elsevier, vol. 259(C).
    • Handle: RePEc:eee:appene:v:259:y:2020:i:c:s0306261919318392
    DOI: 10.1016/j.apenergy.2019.114152
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    References listed on IDEAS

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    1. Nagel, Thomas & Beckert, Steffen & Lehmann, Christoph & Gläser, Roger & Kolditz, Olaf, 2016. "Multi-physical continuum models of thermochemical heat storage and transformation in porous media and powder beds—A review," Applied Energy, Elsevier, vol. 178(C), pages 323-345.
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    5. Nagel, T. & Shao, H. & Roßkopf, C. & Linder, M. & Wörner, A. & Kolditz, O., 2014. "The influence of gas–solid reaction kinetics in models of thermochemical heat storage under monotonic and cyclic loading," Applied Energy, Elsevier, vol. 136(C), pages 289-302.
    6. Schmidt, Matthias & Gutierrez, Andrea & Linder, Marc, 2017. "Thermochemical energy storage with CaO/Ca(OH)2 – Experimental investigation of the thermal capability at low vapor pressures in a lab scale reactor," Applied Energy, Elsevier, vol. 188(C), pages 672-681.
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    1. Xiao, Sinan & Praditia, Timothy & Oladyshkin, Sergey & Nowak, Wolfgang, 2021. "Global sensitivity analysis of a CaO/Ca(OH)2 thermochemical energy storage model for parametric effect analysis," Applied Energy, Elsevier, vol. 285(C).
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    4. Wang, Yuhao & Wang, Ruilin & Guo, Yafei & Yang, Qingshan & Ying, Jiaheng & Liu, Yuanyuan & Sun, Jian & Li, Wenjia & Zhao, Chuanwen, 2024. "The optimization of the MgO/MgCO3 decarbonation process and machine learning-based improved reactor design approach," Energy, Elsevier, vol. 305(C).
    5. Jakub T. Hołaj-Krzak & Barbara Dybek & Jan Szymenderski & Adam Koniuszy & Grzegorz Wałowski, 2025. "Unconventional Fossil Energy Carrier Assessment of the Influence of the Gas Permeability Coefficient on the Structure of Porous Materials: A Review," Energies, MDPI, vol. 18(4), pages 1-33, February.
    6. Timothy Praditia & Thilo Walser & Sergey Oladyshkin & Wolfgang Nowak, 2020. "Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture," Energies, MDPI, vol. 13(15), pages 1-26, July.

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