Boosting Polymer Electrolyte Membrane Fuel Cells from Computational Modeling (Paperback)

Hydrogen Energy and Fuel Cell Primers is a series of concise books that present those coming into this broad and multidisciplinary field the most recent advances in each of its particular topics. Its volumes bring together information that has thus far been scattered in many different sources under one single title, which makes them a useful reference for industry professionals, researchers and graduate students, especially those starting in a new topic of research. This volume, Boosting Polymer Electrolyte Membrane Fuel Cells from Computational Modeling, explores the use of multiscale computational modeling tools for the design and optimization of PEM fuel cells. Multiscale modeling is a rapidly emerging simulation approach which can potentially boost the R&D on PEMFCs through the development of an understanding of mechanisms and processes occurring at multiple spatio-temporal scales at multiple levels of materials, such as catalyst, catalyst support and ionomer. The book discusses concrete success stories on the application of this approach and their specific outcomes. It reviews the latest progresses in the field, including some contributions from the author himself. Special focus is given to multiscale modeling of degradation mechanisms and the durability prediction of the cells, as well as water transport and membrane degradation. Prior knowledge of electrochemistry and mathematics is assumed.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Series:	Hydrogen and Fuel Cells Primers
Release date:	April 2017
First published:	2017
Authors:	Alejandro A. Franco
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	55
ISBN-13:	978-0-12-811245-8
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Professional & Technical > Energy technology & engineering > Fossil fuel technologies > Petroleum technology
LSN:	0-12-811245-X
Barcode:	9780128112458

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