Fuel Cell Modeling and Simulation

From Microscale to Macroscale

de

,

Éditeur :

Elsevier


Paru le : 2022-11-12



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
147,70

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
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. - Offers step-by-step guidance on the simulation of PEMFC and SOFC - Provides an appendix of source codes for modeling, simulation and optimization algorithms - Addresses the fundamental thermodynamics and reaction kinetics of fuel cells, fuel cell electric vehicles (FCEVs) and fuel cell power plant chapters
Pages
500 pages
Collection
n.c
Parution
2022-11-12
Marque
Elsevier
EAN papier
9780323857628
EAN PDF
9780323856416

Informations sur l'ebook
Nombre pages copiables
50
Nombre pages imprimables
50
Taille du fichier
15299 Ko
Prix
147,70 €
EAN EPUB SANS DRM
9780323856416

Prix
147,70 €

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.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.

Suggestions personnalisées