Model benchmarking for PEM Water Electrolyzer for energy management purposes

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. • 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.

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Institutions

Publication Details

Journal
Energy Conversion and Management
Published
2024-11-11
DOI
https://doi.org/10.1016/j.enconman.2024.119203
Citations
15
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
2.54

Funders

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article

Model benchmarking for PEM Water Electrolyzer for energy management purposes

Loïc Boulon, Bruno G. Pollet, Ashkan Makhsoos, Mohsen Kandidayeni et al.
15 citations
Energy Conversion and Management
Hybrid Renewable Energy Systems
2.54
article

Model benchmarking for PEM Water Electrolyzer for energy management purposes

Loïc Boulon, Bruno G. Pollet, Ashkan Makhsoos, Mohsen Kandidayeni, Meziane Ait Ziane
article en
15 citations

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. • 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.

Energy Conversion and ManagementVol. 323
Groupe de Recherche en Énergie Électrique de Nancy (FR), Groupe de Recherche Clinique en Neuro-urologie (FR), Université du Québec à Trois-Rivières (CA), Université de Lorraine (FR)
Natural Sciences and Engineering Research Council of Canada
Affordable and clean energy
Openalex Percentile: Top 11%
Hybrid Renewable Energy Systems
2.54
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Model benchmarking for PEM Water Electrolyzer for energy management purposes — Loïc Boulon, Bruno G. Pollet, et al. · Energy Conversion and Management (2024) | TGRS Research Map | TGRS