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Model benchmarking for PEM Water Electrolyzer for energy management purposes.

Authors :
Makhsoos, Ashkan
Kandidayeni, Mohsen
Ziane, Meziane Ait
Boulon, Loïc
Pollet, Bruno G.
Source :
Energy Conversion & Management. Jan2025:Part A, Vol. 323, pN.PAG-N.PAG. 1p.
Publication Year :
2025

Abstract

This research conducts a comprehensive evaluation of various Proton Exchange Membrane Water Electrolyzer (PEMWE) models through a test bench, optimizing parameters and comparing obtained models against real-world data. Key operational factors such as reversible potential, activation overpotential, ohmic overpotential, and concentration overpotential are examined through experimental data. This study addresses critical gaps in current PEMWE research by reviewing modelling approaches, introducing a novel classification of models, and proposing an integrated approach that combines experimental validation with comprehensive model analysis. A novel, systematic methodology for model and submodel selection is presented, enabling practitioners to identify models that balance computational efficiency and predictive accuracy tailored to specific energy management and power allocation needs. This approach bridges the gap between complex modelling and industrial applications, enhancing the practical implementation of PEMWE systems in sustainable hydrogen production. Enhances model reliability for operational and manufacturing differences, provides invaluable guidance for improving the design and operation of these systems, and promotes a more robust and efficient hydrogen energy infrastructure. [Display omitted] • Proposes a novel classification method for PEMWE models. • Combines empirical data and analysis for accurate PEMWE model comparisons. • Introduces a new method to compare submodels across configurations. • Enhances model reliability for operational and manufacturing differences. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01968904
Volume :
323
Database :
Academic Search Index
Journal :
Energy Conversion & Management
Publication Type :
Academic Journal
Accession number :
181227581
Full Text :
https://doi.org/10.1016/j.enconman.2024.119203