Fuel Cell Modeling And Simulation
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| Author | : Colleen Spiegel |
| Publisher | : Elsevier |
| Total Pages | : 454 |
| Release | : 2011-08-29 |
| Genre | : Computers |
| ISBN | : 0080559018 |
Although, the basic concept of a fuel cell is quite simple, creating new designs and optimizing their performance takes serious work and a mastery of several technical areas. PEM Fuel Cell Modeling and Simulation Using Matlab, provides design engineers and researchers with a valuable tool for understanding and overcoming barriers to designing and building the next generation of PEM Fuel Cells. With this book, engineers can test components and verify designs in the development phase, saving both time and money. Easy to read and understand, this book provides design and modelling tips for fuel cell components such as: modelling proton exchange structure, catalyst layers, gas diffusion, fuel distribution structures, fuel cell stacks and fuel cell plant. This book includes design advice and MATLAB and FEMLAB codes for Fuel Cell types such as: polymer electrolyte, direct methanol and solid oxide fuel cells. This book also includes types for one, two and three dimensional modeling and two-phase flow phenomena and microfluidics. *Modeling and design validation techniques *Covers most types of Fuel Cell including SOFC *MATLAB and FEMLAB modelling codes *Translates basic phenomena into mathematical equations
| Author | : Gholam Reza Molaeimanesh |
| Publisher | : Elsevier |
| Total Pages | : 500 |
| Release | : 2022-11-15 |
| Genre | : Science |
| ISBN | : 0323857620 |
Fuel Cell Modeling and Simulation: From Micro-Scale to Macro-Scale provides a comprehensive guide to the numerical model and simulation of fuel cell systems and related devices, with easy-to-follow instructions to help optimize analysis, design and control. With a focus on commercialized PEM and solid-oxide fuel cells, the book provides decision-making tools for each stage of the modeling process, including required accuracy and available computational capacity. Readers are guided through the process of developing bespoke fuel cell models for their specific needs. This book provides a step-by-step guide to the fundamentals of fuel cell modeling that is ideal for students, researchers and industry engineers working with fuel cell systems, but it will also be a great repository of knowledge for those involved with electric vehicles, batteries and computational fluid dynamics. Offers step-by-step guidance on the simulation of PEMFC and SOFC Provides an appendix of source codes for modeling, simulation and optimization algorithms Addresses the fundamental thermodynamics and reaction kinetics of fuel cells, fuel cell electric vehicles (FCEVs) and fuel cell power plant chapters
| Author | : M. H. Nehrir |
| Publisher | : John Wiley & Sons |
| Total Pages | : 316 |
| Release | : 2009-03-11 |
| Genre | : Technology & Engineering |
| ISBN | : 0470233281 |
The only book available on fuel cell modeling and control with distributed power generation applications 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 Dynamic modeling and simulation of PEM and solid-oxide fuel cells Principle operations and modeling of electrolyzers Power electronic interfacing circuits for fuel cell applications Control of grid-connected and stand-alone fuel cell power generation systems Hybrid fuel cell–based energy system case studies 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.
| Author | : Gholam Reza Molaeimanesh |
| Publisher | : Elsevier |
| Total Pages | : 502 |
| Release | : 2022-11-12 |
| Genre | : Science |
| ISBN | : 0323856411 |
Fuel Cell Modeling and Simulation: From Micro-Scale to Macro-Scale provides a comprehensive guide to the numerical model and simulation of fuel cell systems and related devices, with easy-to-follow instructions to help optimize analysis, design and control. With a focus on commercialized PEM and solid-oxide fuel cells, the book provides decision-making tools for each stage of the modeling process, including required accuracy and available computational capacity. Readers are guided through the process of developing bespoke fuel cell models for their specific needs. This book provides a step-by-step guide to the fundamentals of fuel cell modeling that is ideal for students, researchers and industry engineers working with fuel cell systems, but it will also be a great repository of knowledge for those involved with electric vehicles, batteries and computational fluid dynamics. - Offers step-by-step guidance on the simulation of PEMFC and SOFC - Provides an appendix of source codes for modeling, simulation and optimization algorithms - Addresses the fundamental thermodynamics and reaction kinetics of fuel cells, fuel cell electric vehicles (FCEVs) and fuel cell power plant chapters
| Author | : Alhussein Albarbar |
| Publisher | : Springer |
| Total Pages | : 172 |
| Release | : 2017-11-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3319707272 |
This book examines the characteristics of Proton Exchange Membrane (PEM) Fuel Cells with a focus on deriving realistic finite element models. The book also explains in detail how to set up measuring systems, data analysis, and PEM Fuel Cells’ static and dynamic characteristics. Covered in detail are design and operation principles such as polarization phenomenon, thermodynamic analysis, and overall voltage; failure modes and mechanisms such as permanent faults, membrane degradation, and water management; and modelling and numerical simulation including semi-empirical, one-dimensional, two-dimensional, and three-dimensional models. It is appropriate for graduate students, researchers, and engineers who work with the design and reliability of hydrogen fuel cells, in particular proton exchange membrane fuel cells.
| Author | : Bei Gou |
| Publisher | : CRC Press |
| Total Pages | : 250 |
| Release | : 2017-12-19 |
| Genre | : Technology & Engineering |
| ISBN | : 1420071629 |
Fuel Cells: Modeling, Control, and Applications describes advanced research results on modeling and control designs for fuel cells and their hybrid energy systems. Filled with simulation examples and test results, it provides detailed discussions on fuel cell modeling, analysis, and nonlinear control. The book begins with an introduction to fuel cells and fuel cell power systems as well as the fundamentals of fuel cell systems and their components. It then presents the linear and nonlinear modeling of fuel cell dynamics, before discussing typical approaches of linear and nonlinear modeling and control design methods for fuel cells. The authors also explore the Simulink implementation of fuel cells, including the modeling of PEM fuel cells and control designs. They cover the applications of fuel cells in vehicles, utility power systems, stand-alone systems, and hybrid renewable energy systems. The book concludes with the modeling and analysis of hybrid renewable energy systems, which integrate fuel cells, wind power, and solar power. Mathematical preliminaries on linear and nonlinear control are provided in an appendix. With the need for alternative power well established, we are seeing unprecedented research in fuel cell technology. Written by scientists directly involved with the research, this book presents approaches and achievements in the linear and nonlinear modeling and control design of PEM fuel cells.
| Author | : Stephen J. Paddison |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 596 |
| Release | : 2008-10-15 |
| Genre | : Technology & Engineering |
| ISBN | : 0387786910 |
Computational studies on fuel cell-related issues are increasingly common. These studies range from engineering level models of fuel cell systems and stacks to molecular level, electronic structure calculations on the behavior of membranes and catalysts, and everything in between. This volume explores this range. It is appropriate to ask what, if anything, does this work tell us that we cannot deduce intuitively? Does the emperor have any clothes? In answering this question resolutely in the affirmative, I will also take the liberty to comment a bit on what makes the effort worthwhile to both the perpetrator(s) of the computational study (hereafter I will use the blanket terms modeler and model for both engineering and chemical physics contexts) and to the rest of the world. The requirements of utility are different in the two spheres. As with any activity, there is a range of quality of work within the modeling community. So what constitutes a useful model? What are the best practices, serving both the needs of the promulgator and consumer? Some of the key com- nents are covered below. First, let me provide a word on my ‘credentials’ for such commentary. I have participated in, and sometimes initiated, a c- tinuous series of such efforts devoted to studies of PEMFC components and cells over the past 17 years. All that participation was from the experim- tal, qualitative side of the effort.
| Author | : Roberto Bove |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 405 |
| Release | : 2008-04-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1402069952 |
This book fills the need for a practical reference for all scientists and graduate students who are seeking to define a mathematical model for Solid Oxide Fuel Cell (SOFC) simulation. Structured in two parts, part one presents the basic theory, and the general equations describing SOFC operation phenomena. Part two deals with the application of the theory to practical examples, where different SOFC geometries, configurations, and different phenomena are analyzed in detail.
| Author | : Fengge Gao |
| Publisher | : John Wiley & Sons |
| Total Pages | : 171 |
| Release | : 2013-02-07 |
| Genre | : Technology & Engineering |
| ISBN | : 1118566378 |
The fuel cell is a potential candidate for energy storage and conversion in our future energy mix. It is able to directly convert the chemical energy stored in fuel (e.g. hydrogen) into electricity, without undergoing different intermediary conversion steps. In the field of mobile and stationary applications, it is considered to be one of the future energy solutions. Among the different fuel cell types, the proton exchange membrane (PEM) fuel cell has shown great potential in mobile applications, due to its low operating temperature, solid-state electrolyte and compactness. This book presents a detailed state of art of PEM fuel cell modeling, with very detailed physical phenomena equations in different physical domains. Examples and a fully coupled multi-physical 1.2 kW PEMFC model are given help the reader better understand how to use the equations.
| Author | : Jarosław Milewski |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 228 |
| Release | : 2011-03-04 |
| Genre | : Mathematics |
| ISBN | : 0857292625 |
Fuel cells are widely regarded as the future of the power and transportation industries. Intensive research in this area now requires new methods of fuel cell operation modeling and cell design. Typical mathematical models are based on the physical process description of fuel cells and require a detailed knowledge of the microscopic properties that govern both chemical and electrochemical reactions. Advanced Methods of Solid Oxide Fuel Cell Modeling proposes the alternative methodology of generalized artificial neural networks (ANN) solid oxide fuel cell (SOFC) modeling. Advanced Methods of Solid Oxide Fuel Cell Modeling provides a comprehensive description of modern fuel cell theory and a guide to the mathematical modeling of SOFCs, with particular emphasis on the use of ANNs. Up to now, most of the equations involved in SOFC models have required the addition of numerous factors that are difficult to determine. The artificial neural network (ANN) can be applied to simulate an object’s behavior without an algorithmic solution, merely by utilizing available experimental data. The ANN methodology discussed in Advanced Methods of Solid Oxide Fuel Cell Modeling can be used by both researchers and professionals to optimize SOFC design. Readers will have access to detailed material on universal fuel cell modeling and design process optimization, and will also be able to discover comprehensive information on fuel cells and artificial intelligence theory.
