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Journal of Power Sources
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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Journal of Power Sources
Article . 2016 . Peer-reviewed
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Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale

Authors: T. Kerber; Alejandro A. Franco; Alejandro A. Franco; Georgios Tsotridis; Wolfgang G. Bessler; Manik Mayur; M. Quinaud; +19 Authors

Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale

Abstract

Proton Exchange Membrane Fuel Cells (PEMFC) are energy efficient and environmentally friendly alternatives to conventional energy conversion systems in many yet emerging applications. In order to enable prediction of their performance and durability, it is crucial to gain a deeper understanding of the relevant operation phenomena, e.g., electrochemistry, transport phenomena, thermodynamics as well as the mechanisms leading to the degradation of cell components. Achieving the goal of providing predictive tools to model PEMFC performance, durability and degradation is a challenging task requiring the development of detailed and realistic models reaching from the atomic/molecular scale over the meso scale of structures and materials up to components, stack and system level. In addition an appropriate way of coupling the different scales is required.

Countries
Germany, Spain, Spain, Spain, Spain, France, Germany, Spain
Keywords

660, :Energies [Àrees temàtiques de la UPC], Performance, Proton exchange membrane fuel cells, proton exchange membrane fuel cells modeling, [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, Degradation, Piles de combustible de membrana d'intercanvi de protons, Àrees temàtiques de la UPC::Energies, Brennstoffzelle, Proton exchange membrane fuel cells modeling, performance, automation, degradation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
201
Top 1%
Top 10%
Top 1%
168
674
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bronze