Predicting Electrolyzer Performance under Forced Periodic Operation using Nonlinear Frequency Response Method

DOI

Industrial-scale electrolyzers are supplied by power converters with a mixture of DC current and superimposed current ripple. Therefore, electrolyzers are inevitably operated in a forced periodic regime. On the other hand, pulsed electrolysis, as a type of forced periodic operation, emerged as an attractive process intensification strategy. While the negative impact of the current ripple on the electrolyzer performance was reported, the positive impact of pulsed electrolysis was claimed. However, since both regimes are types of forced periodic operation, a similar effect is expected. To clarify this, we suggest the nonlinear frequency response (NFR) method for evaluation of the performance of a proton exchange membrane water electrolyzer (PEMWE) in forced periodic operation. The NFR method demonstrates a voltage decrease and power consumption increase during forced periodic operation of PEMWE in comparison to the steady-state operation, agreeing remarkably well with experiments and numerical simulations. Furthermore, the NFR method reveals that the voltage decrease is a consequence of the system's nonlinear kinetics, and the power requirements are influenced by both linear and nonlinear phenomena. Linear contributions tend to increase power requirements, while nonlinear contributions decrease them. However, regardless of the operating conditions, linear contributions prevail, leading to increased power consumption during forced periodic operation. At the usual operating current densities, ohmic contributions dominate the PEMWE power increase. Overall, the NFR method proves advantageous for analyzing forced periodic operations, providing an analytical tool to calculate the electrolyzer's losses during such conditions and guide system design, especially of the supplying power converter.

Identifier
DOI https://doi.org/10.17617/3.FEEHJO
Related Identifier https://doi.org/10.17617/3.I0ECY9
Metadata Access https://edmond.mpg.de/api/datasets/export?exporter=dataverse_json&persistentId=doi:10.17617/3.FEEHJO
Provenance
Creator Milicic, Tamara; Puteanus, Simon; Xenia Becker; Steffen Bernet; Vidakovic-Koch, Tanja
Publisher Edmond
Publication Year 2025
Funding Reference H2Giga QT6.1 HyLeiT; Research Initiative SmartProSys: Intelligent Process Systems for the Sustainable Production of Chemicals; Federal Ministry of Education and Research; International Max Planck Research School for Advanced Meth- ods in Process and Systems Engineering (IMPRS ProEng); Ministry for Science, Energy, Climate Protec- tion, and the Environment of the State of Saxony-Anhalt
OpenAccess true
Contact MILICIC(at)MPI-MAGDEBURG.MPG.DE
Representation
Language English
Resource Type Dataset
Version 2
Discipline Other