PEM Fuel Cells with Bio-Ethanol Processor Systems [electronic resource] : A Multidisciplinary Study of Modelling, Simulation, Fault Diagnosis and Advanced Control /
Basualdo, Marta S.editor.
Feroldi, Diego.editor.
Outbib, Rachid.editor.
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.
Description based upon print version of record.
Includes bibliographical references and index.
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.
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.
Renewable energy resources.
Chemical engineering.
Electrochemistry.
Environmental engineering.
Biotechnology.
Computer simulation.
Quality control.
Reliability.
Industrial safety.
Renewable and Green Energy.
Industrial Chemistry/Chemical Engineering.
Electrochemistry.
Environmental Engineering/Biotechnology.
Simulation and Modeling.
Quality Control, Reliability, Safety and Risk.
Green Energy and Technology