PEM Fuel Cells with Bio-Ethanol Processor Systems

PEM Fuel Cells with Bio-Ethanol Processor Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 479
Release :
ISBN-10 : 9781849961844
ISBN-13 : 1849961840
Rating : 4/5 (44 Downloads)

Book Synopsis PEM Fuel Cells with Bio-Ethanol Processor Systems by : Marta S. Basualdo

Download or read book PEM Fuel Cells with Bio-Ethanol Processor Systems written by Marta S. Basualdo and published by Springer Science & Business Media. This book was released on 2011-10-30 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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