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Author: Bei Gou
Publisher: CRC Press
ISBN: 1420071629
Category : Technology & Engineering
Languages : en
Pages : 250
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Book Description
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: Bei Gou
Publisher: CRC Press
ISBN: 1420071629
Category : Technology & Engineering
Languages : en
Pages : 250
Get Book Here
Book Description
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: Jay T. Pukrushpan
Publisher: Springer Science & Business Media
ISBN: 1447137922
Category : Technology & Engineering
Languages : en
Pages : 175
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Book Description
Presenting the latest research in the control of fuel cell technology, this book will contribute to the commercial viability of the technology. The authors’ background in automotive technology gives the work added authority as a vital element of future planning.
Author: Bei Gou
Publisher: CRC Press
ISBN: 149873300X
Category : Technology & Engineering
Languages : en
Pages : 412
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Book Description
This book 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. Beginning 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. Typical approaches of Linear and Nonlinear Modeling and Control Design methods for Fuel Cells are also discussed. The authors 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, and stand-alone systems, which integrate Fuel Cells, Wind Power, and Solar Power. Mathematical preliminaries on Linear and Nonlinear Control are provided in an appendix.
Author: Azar, Ahmad Taher
Publisher: IGI Global
ISBN: 1799857905
Category : Mathematics
Languages : en
Pages : 685
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Book Description
The current literature on dynamic systems is quite comprehensive, and system theory’s mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering.
Author: Naoui, Mohamed
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 357
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Book Description
The increasing demand for cleaner and more intelligent energy solutions poses a challenge that resonates across academic, engineering, and policymaking spheres. The complexity of integrating renewable energy sources, energy storage solutions, and advanced communication technologies demands a comprehensive understanding, rigorous analysis, and innovative control strategies. The academic community, in particular, seeks a guiding light through this intricate maze of evolving energy dynamics. Modeling, Analysis, and Control of Smart Energy Systems is a groundbreaking publication that offers more than theoretical exploration; it is a roadmap equipped with the knowledge and tools required to shape the future of energy systems. From laying conceptual foundations to unraveling real-world case studies, the book seamlessly bridges the gap between theory and application. Its comprehensive coverage of mathematical modeling, dynamic system analysis, intelligent control strategies, and the integration of renewable energy sources positions it as an authoritative reference for researchers, engineers, and policymakers alike.
Author: Fekik, Arezki
Publisher: IGI Global
ISBN: 1799874494
Category : Technology & Engineering
Languages : en
Pages : 355
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Book Description
The energy transition initiated in recent years has enabled the growing integration of renewable production into the energy mix. Microgrids make it possible to maximize the efficiency of energy transmission from source to consumer by bringing the latter together geographically and by reducing losses linked to transport. However, the lack of inertia and the micro-grid support system makes it weak, and energy storage is necessary to ensure its proper functioning. Current storage technologies do not make it possible to provide both a large capacity of energy and power at the same time. Hybrid storage is a solution that combines the advantages of several technologies and reduces their disadvantages. Modeling and Control of Static Converters for Hybrid Storage Systems covers the modeling, control theorems, and optimization techniques that solve many scientific problems for researchers in the field of power converter control for renewable energy hybrid storage and places particular emphasis on the modeling and control of static converters for hybrid storage systems. Covering topics ranging from energy storage to power generation, this book is ideal for automation engineers, electrical engineers, mechanical engineers, professionals, scientists, academicians, master's and doctoral students, and researchers in the disciplines of electrical and mechanical engineering.
Author: Jarosław Milewski
Publisher: Springer Science & Business Media
ISBN: 0857292625
Category : Mathematics
Languages : en
Pages : 228
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Book Description
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.
Author: Gholam Reza Molaeimanesh
Publisher: Elsevier
ISBN: 0323857620
Category : Science
Languages : en
Pages : 500
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Book Description
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
ISBN: 0470233281
Category : Technology & Engineering
Languages : en
Pages : 316
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Book Description
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: Massimiliano Lo Faro
Publisher: Academic Press
ISBN: 0128241861
Category : Science
Languages : en
Pages : 530
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Book Description
Hybrid Technologies for Power Generation addresses the topics related to hybrid technologies by coupling conventional thermal engines with novel technologies, including fuel cells, batteries, thermal storage and electrolysis, and reporting on the most recent advances concerning transport and stationary applications. Potential operating schemes of hybrid power generation systems are covered, highlighting possible combinations of technology and guideline selection according to the energy demands of end-users. Going beyond state-of-the-art technological developments for processes, devices and systems, this book discusses the environmental impact and existing hurdles of moving from a single device to new approaches for efficient energy generation, transfer, conversion, high-density storage and consumption. By describing the practical viability of novel devices coupled to conventional thermal devices, this book has a decisive impact in energy system research, supporting those in the energy research and engineering communities. - Covers detailed thermodynamic requirements for multiple smart technologies included in hybrid systems (i.e., FC, electrolysers, supercapacitors, batteries, thermal storage, etc.) - Features fundamental analysis and modeling to optimize the combination of smart technologies with traditional engines - Details protocols for the analysis, operation and requirements of large-scale production
