Enhanced Performance of Dynamic Temperature Pulsing: Modeling Insights from Simple Reaction Networks

Abstract

We develop a dynamic model with temperature as the control variable and simplified reaction networks to investigate the potential benefits of periodic pulse heating for endothermic gas-phase reactions. The results suggest that dynamic electrification of gas-phase reactions could substantially improve the conversion compared to steady-state heating for a first-order reversible endothermic reaction and overcome equilibrium limitations under certain conditions. Series and parallel reactions demonstrate improvement in yield at a high pulsing frequency and amplitude in a certain temperature range. A data-driven approach is introduced to classify conditions for the enhanced performance of nonlinear systems under periodic operation. These revelations underscore the promising potential of implementing a temperature pulse heating strategy in practical applications, leveraging the existing body of knowledge to achieve superior outcomes. Finally, we explain recent experimental results and propose systems in which such behavior could be observed.

CatTestHub: A Benchmarking Database of Experimental Heterogeneous Catalysis for Evaluating Advanced Materials

“…[46][47][48][49] More recently, these catalyst perturbations are being applied dynamically to achieve even greater enhancements of reaction rate or surface chemistry control. 48,[50][51][52][53][54][55] How are these new materials and methods to be assessed? It is standard procedure to include in all experimental programs control experiments that benchmark catalyst performance, but a global catalysis effort with multiple independent laboratories also requires an external benchmarking database for comparison.…”