PEM Fuel Cells with Bio-Ethanol Processor Systems : A Multidisciplinary Study of Modelling, Simulation, Fault Diagnosis and Advanced Control
An apparently appropriate control scheme for PEM fuel cells may actually lead to an inoperable plant when it is connected to other unit operations in a process with recycle streams and energy integration. PEM Fuel Cells with Bio-Ethanol Processor Systems presents a control system design that provide...
Αποθηκεύτηκε σε:
| Άλλοι συγγραφείς: | , , |
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| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Σειρά: | Green Energy and Technology
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| Θέματα: | |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
L'impression du document génère 490 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • PEM fuel cells with bio-ethanol processor systems, a multidisciplinary study of modelling, simulation, fault diagnosis and advanced control, ed. Marta S. Basualdo, Diego Feroldi, Rachid Outbib, London, Springer, 2012, 1 vol. (XXIX- 461 p.), Green energy and technology, 978-1-84996-183-7 |
Πίνακας περιεχομένων:
- 1. Introduction 2. Description of PEM Fuel Cells System 3. Advanced Control Strategies for the Oxygen in the Cathode 4. Simulation and Control of PEMFCS Thermal Behavior 5. Fault Diagnosis of PEM Fuel Cell 6. Fault Diagnosis and Fault Tolerant Control of PEM Fuel Cell 7. Fuel Cell Hybrid Systems 8. Energy Management Strategies for Fuel Cell Hybrid Systems 9. Design and Control of an Integrated Bio-Ethanol Processor with PEMFC 10. Control Oriented Dynamic Model of the Bio-ethanol Processor System 11. Mathematical Model Implementation for Simulation Purposes 12. Plant-wide Control for Fuel Processor System with PEMFC 13. Fault Detectability Index for Optimal Monitoring System Design 14. Improved PCA Models for Fault Detection Using Delay Adjustment