Computational Analysis of Transport Phenomena and Performance of PEMFC

Bengt Sundén|Shian Li|Fereshteh Salimi Nanadegani

ISBN 10: 0443273200 / ISBN 13: 9780443273209

Published by Elsevier Science, 2025

About this Item

Explains modeling transport phenomena and performance at multiple levelsDiscusses the unique characteristics of modeling phenomena in the various layers (and at various scales) in PEM fuel cells, alongside formulations and necessary sub-mod.

Seller Inventory # 1412863329

Bibliographic Details

• Title: Computational Analysis of Transport Phenomena and Performance of PEMFC
• Publisher: Elsevier Science
• Publication Date: 2025
• Language: English
• ISBN 10: 0443273200
• ISBN 13: 9780443273209
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Computational Analysis of Transport Phenomena and Performance of PEMFC presents a practical guide to the mathematical modeling and simulation of PEMFCs for all transport processes of mass, momentum, energy, ions, and electrons. Tackling one of the most important aspects of next-generation PEMFC technologies, the book brings together the state-of-the-art to model and simulate phenomena and processes at various scales, including catalyst layers, electrodes, membranes, and bipolar plates of PEMFC unit cells and stacks.

Chapters introduce PEM fuel cells and explain the underlying electrochemical and thermodynamic concepts involved, present a detailed breakdown of the governing equations for overall mass, momentum, and energy conservation, charge (ions and electrons) conservation, water generation and its transport, heat generation, and heat transfer and cooling methods, offer an in-depth analysis of the various single and multi-dimensional modelling approaches and considerations, including lattice Boltzmann approach, artificial neural networks, exergy and energy analysis, estimation of fuel and oxidant consumption, the differences between cell-scale, stack-scale, and system-scale approaches, and more.

• Explains modeling transport phenomena and performance at multiple levels
• Discusses the unique characteristics of modeling phenomena in the various layers (and at various scales) in PEM fuel cells, alongside formulations and necessary sub-models
• Highlights the limitations and opportunities for machine learning approaches, as well as exergy and energy analysis
• Provides numerically solved examples to illustrate modeling approaches

About the Authors

Bengt Sundén received M. Sc. in Mechanical Engineering 1973, Ph. D. and Docent in Applied Thermodynamics and Fluid Mechanics 1979 and 1980, respectively, from Chalmers University of Technology, Sweden. He is a Professor of Heat Transfer at Lund University, Sweden since 1992 and served as Head of Energy Sciences during 1995-2016. The research activities include compact heat exchangers, enhanced heat transfer, gas turbine heat transfer, combustion-related heat transfer and others. He established and was editor-in-chief of International Journal of Heat Exchangers 1999-2008, associate editor of ASME J. Heat Transfer 2005-2008, editor-in-chief of Developments in Heat Transfer (WIT Press, UK). He published >700 papers in >300 journals, books, and proceedings, edited 30 books and authored three textbooks. He supervised more than 180 M Sc theses, 46 Licentiate of Engineering theses, 44 PhD-theses.

Shian Li is an Associate Professor at Marine Engineering College, Dalian Maritime University. He has a M.Sc. degree in School of Mechanical Engineering 2014
Northwestern Polytechnical University, China. Ph.D. in Department of Energy Sciences 2018, Lund University, Sweden. His research expertise includes computational modeling and analysis of multiphysics and multiscale phenomena for proton exchange membrane fuel cells and solid oxide fuel cells, hydrogen production by methanol /ethanol steam reforming, thermal management of batteries.

Fereshteh Salimi Nanadegani took her M.Sc. Chemical Engineering at College of Engineering, School of Chemical Engineering, University of Tehran, Tehran, Iran. She also has a B.Sc. Chemical Engineering at the same university.