PEM Fuel Cells with Bio-Ethanol Processor Systems: A Multidisciplinary Study of Modelling, Simulation, Fault Diagnosis and Advanced Control

ISBN-13: 9781849961837 / Angielski / Twarda / 2011 / 461 str.

Marta S. Basualdo; Rachid Outbib; Diego Feroldi

Opis

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 provides basic regulation of the hydrogen production process with PEM fuel cells. It then goes on to construct a fault diagnosis system to improve plant safety above this control structure.PEM Fuel Cells with Bio-Ethanol Processor Systems is divided into two parts: the first covers fuel cells and the second discusses plants for hydrogen production from bio-ethanol to feed PEM fuel cells. Both parts give detailed analyses of modeling, simulation, advanced control, and fault diagnosis. They give an extensive, in-depth discussion of the problems that can occur in fuel cell systems and propose a way to control these systems through advanced control algorithms. A significant part of the book is also given over to computer-aided engineering software tools that can be used to evaluate the dynamic performance of the overall plant.PEM Fuel Cells with Bio-Ethanol Processor Systems is intended for use by researchers and advanced students on chemical, electrical-electronic and mechanical engineering courses in which dynamics and control are incorporated with the traditional steady-state coverage of flowsheet synthesis, engineering economics and optimization.

Spis treści

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.

O autorze

Marta S. Basualdo is a researcher for CIFASIS-(CONICET-UNR-UPCAM), Rosario, Argentina. She is also a professor for the Chemical and Electric Engineering Departments of FRRo-UTN and she leads the Computer Aided Process Engineering Group (CAPEG).

Diego Feroldi is a researcher for CIFASIS-(CONICET-UNR-UPCAM), Rosario, Argentina. He is also a professor in the Computer Science Department at FCEIA-UNR.

Rachid Outbib works in the Laboratoire des Sciences de l'Information et des Systèmes at the Domaine Universitaire de Saint Jérôme, Marseille, France.