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The influence of gas–solid reaction kinetics in models of thermochemical heat storage under monotonic and cyclic loading

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  • Nagel, T.
  • Shao, H.
  • Roßkopf, C.
  • Linder, M.
  • Wörner, A.
  • Kolditz, O.

Abstract

Thermochemical reactions can be employed in heat storage devices. The choice of suitable reactive material pairs involves a thorough kinetic characterisation by, e.g., extensive thermogravimetric measurements. Before testing a material on a reactor level, simulations with models based on the Theory of Porous Media can be used to establish its suitability. The extent to which the accuracy of the kinetic model influences the results of such simulations is unknown yet fundamental to the validity of simulations based on chemical models of differing complexity. In this article we therefore compared simulation results on the reactor level based on an advanced kinetic characterisation of a calcium oxide/hydroxide system to those obtained by a simplified kinetic model. Since energy storage is often used for short term load buffering, the internal reactor behaviour is analysed under cyclic partial loading and unloading in addition to full monotonic charge/discharge operation. It was found that the predictions by both models were very similar qualitatively and quantitatively in terms of thermal power characteristics, conversion profiles, temperature output, reaction duration and pumping powers. Major differences were, however, observed for the reaction rate profiles themselves. We conclude that for systems not limited by kinetics the simplified model seems sufficient to estimate the reactor behaviour. The degree of material usage within the reactor was further shown to strongly vary under cyclic loading conditions and should be considered when designing systems for certain operating regimes.

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  • 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.
  • Handle: RePEc:eee:appene:v:136:y:2014:i:c:p:289-302
    DOI: 10.1016/j.apenergy.2014.08.104
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    5. Wang, Wenqing & Kolditz, Olaf & Nagel, Thomas, 2017. "Parallel finite element modelling of multi-physical processes in thermochemical energy storage devices," Applied Energy, Elsevier, vol. 185(P2), pages 1954-1964.
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    9. Risthaus, Kai & Bürger, Inga & Linder, Marc & Schmidt, Matthias, 2020. "Numerical analysis of the hydration of calcium oxide in a fixed bed reactor based on lab-scale experiments," Applied Energy, Elsevier, vol. 261(C).
    10. 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.
    11. 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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