Dresden 2026 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 41: Poster: Nonlinear Dynamics, Granular Matter, and Machine Learning
DY 41.12: Poster
Wednesday, March 11, 2026, 15:00–18:00, P5
Mitigating Degradation in Anion Exchange Membrane Water Electrolysis: Repurposing Shutdowns to Probe Cell Health — •Limei Jin1, Violeta Karyofylli2, Karsten Reuter1, and Christoph Scheurer1,2 — 1Fritz-Haber-Institut der MPG, Berlin — 2IET-1, Forschungszentrum Jülich
The reliable integration of Anion Exchange Membrane Water Electrolysis (AEMWE) into renewable energy systems is hampered by rapid cell degradation, a challenge exacerbated by variable loads and frequent, safety-mandated shutdowns. This performance loss has been attributed to cell reversal: when the cell's potential drops below a critical inflection point, an acute negative current excursion occurs.
To address this challenge, we present an effect analysis of key shutdown parameters on the inflection point of the potential, using this operational signature as a critical indicator to correlate with long-term aging. We base the analysis on our comprehensive COMSOL multiphysics model to accurately simulate dynamical processes governing the shutdown and reversal phenomena in detail. Data generated from these simulations are integrated into an AI-driven optimization framework to identify ideal operating parameters. It will be used to design an optimal pulse sequence for an active online control to suppress reversal events and mitigate degradation.
Keywords: Anion Exchange Membrane Water Electrolysis; Cell Reversal; Pulse Sequence for Shutdown; Machine Learning; Design of Experiment