Diagnostic and Performance Analysis of a Water Electrolyzer by Magnetic Field Measurements
Antony Plait (),
Frédéric Dubas (),
David Bouquain and
Daniel Hissel
Additional contact information
Antony Plait: Université de Franche-Comté, FEMTO-ST Institute, FCLAB, UTBM, CNRS, 90000 Belfort, France
Frédéric Dubas: Université de Franche-Comté, FEMTO-ST Institute, FCLAB, UTBM, CNRS, 90000 Belfort, France
David Bouquain: Université de Franche-Comté, FEMTO-ST Institute, FCLAB, UTBM, CNRS, 90000 Belfort, France
Daniel Hissel: Université de Franche-Comté, Institut Universitaire de France (IUF), FEMTO-ST Institute, FCLAB, UTBM, CNRS, 90000 Belfort, France
Energies, 2024, vol. 17, issue 16, 1-12
Abstract:
The distribution of the magnetic field generated by an electromagnetic device can provide insights into their operational condition. This paper focuses on diagnosing electrolyzers through magneto-tomography, a method which involves mapping the magnetic field generated by electrical devices. Since current density and magnetic field are directly linked, this study can characterize the normal and abnormal operation of an electrolyzer. To achieve this, a two-dimensional (2-D) Biot–Savart model in polar coordinates is developed. To validate this model for electrolyzer diagnostics, an experimental setup was established to replicate the electrolyzer operation. The purely analytical model was successfully validated, with the average difference between the analytical results and experimental measurements established. The model validation is performed by comparing the experimental data to the theoretical results, and it is observed that the difference does not exceed 5%.
Keywords: electrolyzer diagnostics; analytical model; experimental validation; magneto-tomography (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/17/16/4135/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/16/4135/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:16:p:4135-:d:1459762
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().