This book presents methodologies suitable for the optimal design of
control and diagnosis strategies for Solid Oxide Fuel Cell (SOFC)
systems. One key feature of the methodologies presented is the use
of modeling tools with an ideal balance between accuracy and
computational burden. Particular emphasis is given to the useful
combination of models within a hierarchical framework to reduce the
experimental efforts required for characterization and testing.
Such tools are proven to be highly effective for SOFC systems
destined for both residential and transportation applications.
Throughout the book, optimization is always conceived in such a way
so as to allow the SOFC systems to work efficiently while
guaranteeing safe thermal operation, as well as an extended
lifetime. This book is aimed at scientists and engineers involved
in the design of marketable SOFC systems. It gathers the knowledge
and experience derived from other research and industry practice
for which control and diagnosis have proven to be the main keys to
success and market penetration.
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