Author
Listed:
- Pouya Beigzadeh Arough
(Department of Civil, Chemical and Environmental Engineering, University of Genoa (UNIGE-DICCA), Via Opera Pia 15, 16145 Genoa, Italy)
- Arianna Moranda
(Department of Civil, Chemical and Environmental Engineering, University of Genoa (UNIGE-DICCA), Via Opera Pia 15, 16145 Genoa, Italy)
- Ataollah Niyati
(Department of Civil, Chemical and Environmental Engineering, University of Genoa (UNIGE-DICCA), Via Opera Pia 15, 16145 Genoa, Italy)
- Ombretta Paladino
(Department of Civil, Chemical and Environmental Engineering, University of Genoa (UNIGE-DICCA), Via Opera Pia 15, 16145 Genoa, Italy)
Abstract
Water electrolysis for hydrogen production is of great importance for the reliable use of renewable energy sources to have a clean environment. Electrolyzers play a key role in achieving the carbon-neutral target of 2050. Among the different types of water electrolyzers, proton exchange membrane water electrolyzers (PEMWEs) represent a well-developed technology that can be easily integrated into the smart grid for efficient energy management. In this study, a discrete dynamic mathematical model of a PEMWE was developed in MATLAB/Simulink to simulate cell performance under various operating conditions such as temperature, inlet flow rate, and current density loads. A lab-scale test bench was designed and set up, and a 5 cm 2 PEMWE was tested at different temperatures (40–80 °C) and flow rates (3–12 mL/min), obtaining Linear Sweep Voltammetry (LSV), Cyclic Voltammetry (CV), Chrono-potentiometry (CP), and Electrochemical Impedance Spectroscopy (EIS) results for comparison and adjustment of the dynamic model. Sensitivity analysis of different operating variables confirmed that current density and temperature are the most influential factors affecting cell voltage. The parametric sensitivity of various chemical–physical and electrochemical parameters was also investigated. The most significant ones were estimated via non-linear least squares optimization to fine-tune the model. Additionally, strong correlations between these parameters and temperature were identified through regression analysis, enabling accurate performance prediction across the studied temperature range.
Suggested Citation
Pouya Beigzadeh Arough & Arianna Moranda & Ataollah Niyati & Ombretta Paladino, 2025.
"Parametric Sensitivity of a PEM Electrolyzer Mathematical Model: Experimental Validation on a Single-Cell Test Bench,"
Energies, MDPI, vol. 18(9), pages 1-20, April.
Handle:
RePEc:gam:jeners:v:18:y:2025:i:9:p:2217-:d:1643712
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2217-:d:1643712. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.