Emerging technologies in prognostics for fuel cells including direct hydrocarbon fuel cells

Samuel Ong, Amani Al-Othman and Muhammad Tawalbeh

Energy, 2023, vol. 277, issue C

Abstract: Fuel cells have been regarded as promising power sources for cleaner energy production. Despite their high theoretical efficiency, fuel cells are still challenged with their durability issues that hinder their full commercialization. Recent work on fuel cells' prognostics provided multiple opportunities for predicting and monitoring the fuel cells' durability. Prognostic studies evaluate, predict and model complex fuel cell systems. This field witnessed an increase in application, accuracy, and depth recently. The application of several prognostic studies to predict the failure modes helped to improve the efficiency and estimate the remaining useful life (RUL) of the complex fuel cell system. This paper discusses the most recent prognostic and health monitoring studies of fuel cells systems that use hydrogen or hydrocarbon fuels. It suggests that prognostics are promising approaches toward evaluating the fuel cell system's useful life. The paper also provides an overview of the most recent developments in the types of the applied prognostic models. It appears that the main challenge is the development of online prognostic methods for the dynamic fuel cell systems. This work concludes that a proper prediction/monitoring approach requires the application of more than one prognostic method.

Keywords: Data-driven prognostics; Energy; Fuel cells; Fusion-based models; Model-based prognostics; Monitoring techniques (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223011155
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:energy:v:277:y:2023:i:c:s0360544223011155

DOI: 10.1016/j.energy.2023.127721

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

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