Fr. 135.00

Models for Solid Oxide Fuel Cell Systems - Exploitation of Models Hierarchy for Industrial Design of Control and Diagnosis Strategies

English · Hardback

Shipping usually within 6 to 7 weeks

Description

Read more

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.

List of contents

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

About the author

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.

Summary

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.

Product details

Authors Dari Marra, Dario Marra, Cesar Pianese, Cesare Pianese, Pierpaolo Polverino, Marco Sorrentino
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 17.10.2013
 
EAN 9781447156574
ISBN 978-1-4471-5657-4
No. of pages 154
Dimensions 167 mm x 242 mm x 14 mm
Weight 379 g
Illustrations XXII, 154 p. 86 illus. in color.
Series Green Energy and Technology
Green Energy and Technology
Subjects Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering

B, ENERGY, Renewable Energy, Automotive Engineering, Renewable and Green Energy, Renewable energy resources, Alternative & renewable energy sources & technology, Automotive technology & trades, Automotive (motor mechanic) skills

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.