EconPapers    
Economics at your fingertips  
 

Low-temperature electrolysis system modelling: A review

Pierre Olivier, Cyril Bourasseau and Pr. Belkacem Bouamama

Renewable and Sustainable Energy Reviews, 2017, vol. 78, issue C, 280-300

Abstract: This review provides an exhaustive and comprehensive analysis of the existing modelling works about low temperature electrolysis system: alkaline and proton exchange membrane (PEM) technologies. In order to achieve this review, a classification was built, based on different criteria such as physical domains involved or modelling approaches. The proposed methodology allows both exposing an overview of the electrolysis system modelling field and providing a deep analysis of each reviewed model. Actual strengths, weaknesses and lacks in this research field are pointed out and the performed analysis provides ideas for future research in this area.

Keywords: Modelling; Electrolysis system; Hydrogen (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S136403211730432X
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:rensus:v:78:y:2017:i:c:p:280-300

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2017.03.099

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:rensus:v:78:y:2017:i:c:p:280-300