Analytical Modelling Of Fuel Cells
by Andrei A Kulikovsky /
2010 / English / PDF
6.2 MB Download
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 brings his unique
approach to the analytical modeling of fuel cells to this
essential reference for energy technologists...
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 brings his unique
approach to the analytical modeling of fuel cells to this
essential reference for energy technologists...Covers recent advances and analytical solutions to a range of
problems faced by energy technologists, from catalyst layer
performance to thermal stability
Covers recent advances and analytical solutions to a range of
problems faced by energy technologists, from catalyst layer
performance to thermal stabilityProvides detailed graphs, charts and other tools (glossary,
index) to maximize R&D output while minimizing costs and time
spent on dead-end research
Provides detailed graphs, charts and other tools (glossary,
index) to maximize R&D output while minimizing costs and time
spent on dead-end researchPresents 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
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
