Efficient multiscale techniques
Dynamical systems often exhibit a variety of temporal scales. In a recent study we examined the slow degradation of H₂ #electrolyzers under highly oscillatory load.
#Modelling and #simulation is not feasible for long-term predictions spanning months if the fastest chemical scales are also taken into account. Through our #mathematical #analysis, we have been able to separate the scales and achieve accelerations of over 1:1000. This not only reduces the time required for simulations, it also allows to solve optimization and control problems.
Our approach extends beyond the specific challenge of green H₂ production, offering a general tool with broad applicability. As part of the SmartProSys Cluster of #Excellence initiative we are tackling related dynamical problems describing complex chemical conversion processes having the transformation to green carbon-based processes in mind.
Original publications:
➡ [1] https://doi.org/10.48550/arXiv.2410.06863
➡ [2] https://doi.org/10.1137/19M1258396
Dayron Chang Dominguez I An Phuc Dam I Prof. Thomas Richter I Prof. Kai Kai Sundmacher I Shaun M. Alia I Stefan Frei
Otto-von-Guericke-Universität Magdeburg I Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg I National Renewable Energy Laboratory, Colorado, United States of America
#GreenCarbonbasedProcesses #GreenH2Production #ClusterofExcellence
