Streamlining kinetic characterization for thermochemical energy storage solutions

This research advances Thermochemical Energy Storage (TCES) by assessing the Na2S hydration-dehydration reaction kinetics using the Shuffled Complex Evolution (SCE) optimization algorithm. The SCE approach efficiently calibrates a multi-step reaction rate equation, streamlining the complex parameterization process inherent in TCES materials. This method proves particularly advantageous in multivariate contexts, traditionally challenging to address due to their complexity and the time-intensive nature of conventional methods. The SCE-derived model offers accurate predictions of reaction rates, essential for the design and optimization of Na2S-based TCES systems. The accuracy of the model predictions however is fundamentally tied to the quality of the underlying kinetic model, emphasizing the need for a thorough understanding of the underlying physics.