Analytical Modelling of Fuel Cells

In fuel cell research, the gap between fundamental electrochemical processes and the engineering of fuel cell systems is bridged by the physical modeling of fuel cells. This relatively new discipline aims to understand the basic transport and kinetic phenomena in a real cell and stack environment, paving the way for improved design and performance. The author presents his unique approach to fuel cell modeling in this essential reference for energy technologists.

Autorentext

Andrei Kulikovsky graduated from the Faculty of Theoretical and Experimental Physics of the Moscow Engineering-Physical Institute. In 1984, he obtained PhD from the Institute for High Temperatures of the USSR Academy of Sciences. In 1998, he received the Doctor of Sciences (Research Professor) degree in physics and mathematics from the M.V. Lomonosov Moscow State University. Over the past 20 years, Andrei has published more than 100 research papers in high-ranked electrochemical journals. He is an author and co--author of three books. His current research interests include modeling of low-, intermediate-, and high-temperature fuel cells, catalyst layers, macroscopic modeling of aging processes and defects in cells, analytical study of transport and kinetic processes in cells and stacks, and impedance spectroscopy of cells. In 2013 Andrei has been awarded with the Alexander Kuznetsov Prize for Theoretical Electrochemistry and in 2015 with the Schoenbein's medal of Honour in recognition of the distinguished contributions to the science and technology of fuel cells.

Inhalt

1. Fuel cell basics2. Catalyst layer performance3. One-dimensional model of a fuel cell4. Quasi-2D model of a fuel cell5. Modelling of fuel cell stacks