Fuel Cell Modeling and Simulation

From Microscale to Macroscale
Erscheinungsjahr 2022
ISBN: 978-0-323-85762-8
Verlag: Elsevier - Health Sciences Division

Buch, Englisch, 498 Seiten, Format (B × H): 190 mm x 232 mm, Gewicht: 1076 g

Fuel Cell Modeling and Simulation: From Micro-Scale to Macro-Scale provides a comprehensive guide to the numerical model and simulation of fuel cell systems and related devices, with easy-to-follow instructions to help optimize analysis, design and control. With a focus on commercialized PEM and solid-oxide fuel cells, the book provides decision-making tools for each stage of the modeling process, including required accuracy and available computational capacity. Readers are guided through the process of developing bespoke fuel cell models for their specific needs.

This book provides a step-by-step guide to the fundamentals of fuel cell modeling that is ideal for students, researchers and industry engineers working with fuel cell systems, but it will also be a great repository of knowledge for those involved with electric vehicles, batteries and computational fluid dynamics.

Autoren/Hrsg.

Torabi, Farschad

Molaeimanesh, Gholam Reza

Fachgebiete

• Naturwissenschaften Chemie Physikalische Chemie Elektrochemie, Magnetochemie
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieumwandlung, Energiespeicherung
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

1. Fuel Cell Fundamentals
2. PEMFCs
3. SOFCs
4. Hydrogen Storage Systems
5. Fuel Cell Electric Vehicles (FCEVs)
6. Fuel Cell Power Plants
7. CHP Systems

Über Autor(innen)

Molaeimanesh, Gholam Reza
Gholam Reza Molaeimanesh is Assistant Professor of Automotive Engineering in the Department of Powertrain Systems, University of Science and Technology, Iran. His background is mechanical engineering and automotive engineering and has been working on the modeling and simulation of CFD (specifically via advanced numerical methods such as LBM) for more than 15 years.

Torabi, Farschad
Farschad Torabi is an assistant professor at K. N. Toosi University of Technology, Iran. His research interests include renewable energies, batteries and electrochemical systems. His background is in mechanical engineering and his research agenda addresses numerical simulation, using a combination of computational fluid mechanics and analytical methods.