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Advanced Methods of Solid Oxide Fuel Cell Modeling (Green Energy and Technology)

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Advanced Methods of Solid Oxide Fuel Cell Modeling (Green Energy and Technology) Cover

 

Synopses & Reviews

Synopsis:

Fuel cells are widely regarded as the future of the power and transportation industries. This book provides a comprehensive description of modern fuel cell theory and a guide to the mathematical modeling of SOFCs, with particular emphasis on the use of ANNs.

About the Author

Jarosław Milewski is a doctor of engineering and an associate professor in the Power Division of the Institute of Heat Engineering, Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. He has research experience in fuel cell modeling (especially solid oxide fuel cell hybrid systems and molten carbonate fuel cell hybrid systems) and advanced power systems, as well as classic power generation systems. Konrad Świrski is a doctor of engineering and an associate professor in the Power Division of the Institute of Heat Engineering, Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. His research focuses on artificial intelligence (especially bio-inspired solutions like artificial neural networks, genetics algorithms, and artifcial immunological control systems) and its application in power systems modeling, control and optimization. Pierluigi Leone is a doctor of engineering and an assistant professor in applied physics at the Department of Energy of Politecnico of Turin. His research focuses on the engineering and testing of advanced energy systems based on high temperature fuel cells; in particular on the characterization of the electrochemical and mechanical properties of advanced single SOFCs, on the engineering of a planar SOFC micro-CHP unit and on the assessment of the in-operation homogeneity of large SOFC systems. Massimo Santarelli is a doctor of engineering and an associate professor in thermodynamics and heat transfer, Department of Energy, Politecnico di Torino. His research focuses on fuel cells and hydrogen, and their integration with renewable sources: experimental activity and modeling of SOFC generators and the balance of plants; experimental activity and modeling of PEMFC and DMFC single cells and stacks; experimental activity and modeling of high pressureelectrolysis fed by renewable sources; modellng, analysis and optimization of energy systems based on integration of RES and H2.

Table of Contents

1. Introduction.- 2. Theory.- 3. Advanced Methods in Mathematical Modeling.- 4. Experimental Investigation.- 5. SOFC Modeling.

Product Details

ISBN:
9780857292612
Author:
Milewski, Jaroslaw
Publisher:
Springer
Author:
Leone, Pierluigi
Author:
Milewski, Jaros?aw
Author:
Santarelli, Massimo
Author:
Milewski, Jarosław
Author:
Milewski, Jaros'aw
Author:
Świrski, Konrad
Author:
wirski, Konrad
Subject:
Applied
Subject:
Artificial Intelligence
Subject:
Artificial Neural Network
Subject:
Empirical Methods
Subject:
Fuel-Cell
Subject:
mathematical modelling
Subject:
Solid Oxide
Subject:
Mathematical Modeling and Industrial Mathematics
Subject:
Industrial Chemistry/Chemical Engineering
Subject:
Power Electronics, Electrical Machines and Networks
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Mathematics-Applied
Copyright:
Edition Description:
2011
Series:
Green Energy and Technology
Publication Date:
20110129
Binding:
HARDCOVER
Language:
English
Pages:
232
Dimensions:
235 x 155 mm

Related Subjects

Engineering » Engineering » Power Resources » Alternative and Renewable
Science and Mathematics » Chemistry » General
Science and Mathematics » Energy » Renewable Energies
Science and Mathematics » Mathematics » Applied

Advanced Methods of Solid Oxide Fuel Cell Modeling (Green Energy and Technology) New Hardcover
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Product details 232 pages Springer - English 9780857292612 Reviews:
"Synopsis" by , Fuel cells are widely regarded as the future of the power and transportation industries. This book provides a comprehensive description of modern fuel cell theory and a guide to the mathematical modeling of SOFCs, with particular emphasis on the use of ANNs.
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