Modeling and Control of Fuel Cells Distributed Generation Applications 1st Edition by Hashem Nehrir, Wang 9780470233283 0470233281
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Product details:
ISBN 10: 0470233281
ISBN 13: 9780470233283
Author: M. Hashem Nehrir, C. Wang
The emerging fuel cell (FC) technology is growing rapidly in its applications from small-scale portable electronics to large-scale power generation. This book gives students, engineers, and scientists a solid understanding of the FC dynamic modeling and controller design to adapt FCs to particular applications in distributed power generation.
The book begins with a fascinating introduction to the subject, including a brief history of the U.S. electric utility formation and restructuring. Next, it provides coverage of power deregulation and distributed generation (DG), DG types, fuel cell DGs, and the hydrogen economy. Building on that foundation, it covers:
- Principle operations of fuel cells
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Dynamic modeling and simulation of PEM and solid-oxide fuel cells
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Principle operations and modeling of electrolyzers
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Power electronic interfacing circuits for fuel cell applications
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Control of grid-connected and stand-alone fuel cell power generation systems
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Hybrid fuel cell–based energy system case studies
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Present challenges and the future of fuel cells
MATLAB/SIMULINK-based models and their applications are available via a companion Web site. Modeling and Control of Fuel Cells is an excellent reference book for students and professionals in electrical, chemical, and mechanical engineering and scientists working in the FC area.
Table of contents:
1 Introduction.
1.1 Background: A Brief History of U.S. Electric Utility Formation and Restructuring.
1.2 Power Deregulation and Distributed Generation.
1.3 DG Types.
1.4 Fuel Cell DG.
1.5 The Hydrogen Economy.
2 Principles of Operation of Fuel Cells.
2.1 Introduction.
2.2 Chemical and Thermal Energy of an Element.
2.3 Fundamentals of Thermodynamics.
2.4 Fundamentals of Electrochemical Processes.
2.5 Energy Balance in Chemical Reactions.
2.6 The Nernst Equation.
2.7 Fuel Cell Basics.
2.8 Types of Fuel Cells.
2.9 Fuel Cell Equivalent Circuit.
2.10 Capacitance of Double-Layer Charge Effect.
2.11 Summary.
3 Dynamic Modeling and Simulation of PEM Fuel Cells.
3.1 Introduction: Need for Fuel Cell Dynamic Models.
3.2 Nomenclature (PEMFC).
3.3 PEMFC Dynamic Model Development.
3.4 PEMFC Model Structure.
3.5 Equivalent Electrical Circuit Model of PEMFC.
3.6 PEMFC Model Validation.
4 Dynamic Modeling and Simulation of Solid Oxide Fuel Cells.
4.1 Introduction.
4.2 Nomenclature (SOFC).
4.3 SOFC Dynamic Model Development.
4.4 SOFC Dynamic Model Structure.
4.5 SOFC Model Response—Constant Fuel Flow Operation.
4.6 SOFC Model Response—Constant Fuel Utilization Operation.
5 Principles of Operation and Modeling of Electrolyzers.
5.1 Principle of Operation of Electrolyzers.
5.2 Dynamic Modeling of Electrolyzers.
5.3 Electrolyzer Model Implementation.
6 Power Electronic Interfacing Circuits for Fuel Cell Applications.
6.1 Introduction.
6.2 Overview of Basic Power Electronic Switches.
6.3 ac/dc Rectifiers.
6.4 dc to dc Converters.
6.5 Three-Phase dc/ac Inverters.
7 Control of Grid-Connected Fuel Cell Power Generation Systems.
7.1 Introduction.
7.2 Grid-Connected System Configuration.
7.3 Controller Designs for dc/dc Converters and the Inverter.
7.4 Simulation Results.
7.5 Summary.
8 Control of Stand-Alone Fuel Cell Power Generation Systems.
8.1 Introduction.
8.2 System Description and Control Strategy.
8.3 Load Transient Mitigation Control.
8.4 Simulation Results.
8.5 Summary.
9 Hybrid Fuel Cell Based Energy System Case Studies.
9.1 Introduction.
9.2 Hybrid Electronically Interfaced Systems.
9.3 Fuel Cells in Hybrid Combined Heat and Power Operation Mode.
9.4 Case Study I: A Hybrid Stand-Alone Wind–PV–FC System.
9.5 Case Study II: SOFC Efficiency Evaluation in Hybrid Operation Mode.
9.6 Summary.
10 Present Challenges and Future of Fuel Cells.
10.1 Introduction.
10.2 Fuel Cell System Operations.
10.3 Present Challenges and Opportunities.
10.4 U.S. Fuel Cell R&D Programs.
10.5 Future of Fuel Cells: A Summary and Authors Opinions.
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Tags: Hashem Nehrir, Wang, Modeling, Distributed, Generation