Models for Solid Oxide Fuel Cell Systems

Exploitation of Models Hierarchy for Industrial Design of Control and Diagnosis Strategies
1. Auflage 2016
ISBN: 978-1-4471-5657-4
Verlag: Springer

Buch, Englisch, 154 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 3908 g

Reihe: Green Energy and Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Marra, Dario

Sorrentino, Marco

Pianese, Cesare

Polverino, Pierpaolo

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energieumwandlung, Energiespeicherung
• Naturwissenschaften Chemie Physikalische Chemie Elektrochemie, Magnetochemie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Elektronik, Optik

Inhaltsverzeichnis

Introduction.- Models Hierarchy.- Models for Control Applications.- Models for Diagnostic Applications.

Über Autor(innen)

Over the past decade Cesare Pianese and Marco Sorrentino concentrated their research interests in the field of model-based control and diagnosis of fuel-cell based energy conversion systems. They transfer to the fuel-cell area the experience gained on the control and optimization of internal combustion engines and other alternative propulsion systems. Most of the modelling approaches and the methodologies presented in the book are derived from those successfully implemented on real systems by industrial companies.