EconPapers    
Economics at your fingertips  
 

Multiscale modeling and optimization of proton exchange membrane electrolysis cells: a review

Dongqi Zhao, Jisen Li, Ze Zhou, Liyan Zhang, Zheng Li, Qihong Chen and Xi Li

Applied Energy, 2025, vol. 398, issue C, No S030626192501181X

Abstract: Proton exchange membrane electrolysis cells (PEMECs) offer several advantages, including high energy efficiency, high hydrogen purity, rapid startup/shutdown capability, and ease of maintenance, making them well-suited for addressing the uncertainties introduced by renewable energy integration into the grid. Numerical modeling is an effective method to understand the steady-state characteristics and dynamic evolution process of PEMEC, which is conducive to further promoting its application. Currently, substantial progress has been made in the numerical modeling of PEMECs across various scales, particularly in areas such as computational material analysis, flow channel design, operating point optimization, system integration, and control strategy. However, most studies have been limited to specific scales, with insufficient coupling between multiple scales, which restricts the ability to provide comprehensive insights. Additionally, long-term investigations into performance evolution and degradation mechanisms are sparse, despite their critical role in informing control strategies. Herein, the review examines the state-of-the-art modeling methods and optimization challenges of PEMECs from a multiscale perspective, identifies existing limitations, and provides guidance for advancing their development and application.

Keywords: Proton exchange membrane electrolysis cell; Multiscale modeling; Hydrogen energy; Electrolysis performance optimization; Long-life operation; Numerical modeling (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626192501181X
Full text for ScienceDirect subscribers only

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:eee:appene:v:398:y:2025:i:c:s030626192501181x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.126451

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-08-31
Handle: RePEc:eee:appene:v:398:y:2025:i:c:s030626192501181x