Analytical modelling of fuel cells  /
Kulikovsky, Andrei A.
Amsterdam ; London : Elsevier,
2010.
In fuel cell research, the gap between fundamental electrochemical  processes and the engineering of fuel cell systems is bridged by the physical modelling 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 a unique approach to fuel cell modelling in this essential reference for energy technologies. Covers recent advances and analytical solutions to a range of problems faced by energy technologists, from catalyst layer performance to thermal stability. Provides detailed graphs, charts and other tools (glossary, index) to maximize R&D output while minimizing costs and time spent on dead-end research. Presents Kulikovsky's signature approach (and the data to support it) - which uses "simplified" models based on idealized systems, basic geometries, and minimal assumptions - enabling qualitative understanding of the causes and effects of phenomena.
Includes CD-ROM.
In fuel cell research, the gap between fundamental electrochemical  processes and the engineering of fuel cell systems is bridged by the physical modelling 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 a unique approach to fuel cell modelling in this essential reference for energy technologies. Covers recent advances and analytical solutions to a range of problems faced by energy technologists, from catalyst layer performance to thermal stability. Provides detailed graphs, charts and other tools (glossary, index) to maximize R&D output while minimizing costs and time spent on dead-end research. Presents Kulikovsky's signature approach (and the data to support it) - which uses "simplified" models based on idealized systems, basic geometries, and minimal assumptions - enabling qualitative understanding of the causes and effects of phenomena.
Includes bibliographical references (p. 273-281) and index.
Fuel cell basics -- Catalyst layer performance -- One-dimensional model of a fuel cell -- Quasi-2D model of a fuel cell -- Modelling of fuel cell stacks.
System requirements for accompanying CD-ROM: Maple software.
Fuel cells