Author: Gerasimos Rigatos
Publisher: Springer
ISBN: 3319391569
Category : Technology & Engineering
Languages : en
Pages : 562
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Book Description
Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained. The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed: • Modeling and control of power generators (PMSGs, DFIGs); • Modeling and control of power electronics (converters, inverters); • Modeling and fault diagnosis of the transmission and distribution Grid; and • Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units). Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.
Author: Neeraj Priyadarshi
Publisher: John Wiley & Sons
ISBN: 1119786274
Category : Computers
Languages : en
Pages : 484
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Book Description
INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.
Author: Suman Lata Tripathi
Publisher: CRC Press
ISBN: 1000392457
Category : Technology & Engineering
Languages : en
Pages : 423
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Book Description
Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.
Author: Ali Keyhani
Publisher: John Wiley & Sons
ISBN: 1118978927
Category : Science
Languages : en
Pages : 610
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Book Description
Provides a systems approach to sustainable green energy production and contains analytical tools to aid in the design of renewable microgrids This book discusses the fundamental concepts of power grid integration on microgrids of green energy sources. In each chapter, the author presents a key engineering problem, and then formulates a mathematical model of the problem followed by a simulation testbed in MATLAB, highlighting solution steps. The book builds its foundation on design of distributed generating system, and design of PV generating plants by introducing design- efficient smart residential PV microgrids. These include energy monitoring systems, smart devices, building load estimation, load classification, and real-time pricing. The book presents basic concepts of phasor systems, three-phase systems, transformers, loads, DC/DC converters, DC/AC inverters, and AC/DC rectifiers, which are all integrated into the design of microgrids for renewable energy as part of bulk interconnected power grids. Other topics of discussion include the Newton formulation of power flow, the Newton—Raphson solution of a power flow problem, the fast decoupled solution for power flow studies, and short circuit calculations. Focuses on the utilization of DC/AC inverters as a three-terminal element of power systems for the integration of renewable energy sources Presents basic concepts of phasor systems, three-phase systems, transformers, loads, DC/DC converters, DC/AC inverters, and AC/DC rectifiers Contains problems at the end of each chapter Supplementary material includes a solutions manual and PowerPoint presentations for instructors Design of Smart Power Grid Renewable Energy Systems, Second Edition is a textbook for undergraduate and graduate students in electric power systems engineering, researchers, and industry professionals. ALI KEYHANI, Ph.D., is a Professor in the Department of Electrical and Computer Engineering at The Ohio State University. He is a Fellow of the IEEE and a recipient of The Ohio State University, College of Engineering Research Award for 1989, 1999, and 2003. He has worked for Columbus and Southern Electric Power Company, Hewlett-Packard Co., Foster Wheeler Engineering, and TRW. He has performed research and consulting for American Electric Power, TRW Control, Liebert, Delphi Automotive Systems, General Electric, General Motors, and Ford. Dr. Keyhani has authored many articles in IEEE Transactions in energy conversion, power electronics, and power systems engineering.
Author: Mustapha Hatti
Publisher: Springer
ISBN: 303004789X
Category : Technology & Engineering
Languages : en
Pages : 571
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Book Description
This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.
Author: Henrik Lund
Publisher: Academic Press
ISBN: 012409595X
Category : Technology & Engineering
Languages : en
Pages : 383
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Book Description
In this new edition of Renewable Energy Systems, globally recognized renewable energy researcher and professor, Henrik Lund, sets forth a straightforward, comprehensive methodology for comparing different energy systems' abilities to integrate fluctuating and intermittent renewable energy sources. The book does this by presenting an energy system analysis methodology. The book provides the results of more than fifteen comprehensive energy system analysis studies, examines the large-scale integration of renewable energy into the present system, and presents concrete design examples derived from a dozen renewable energy systems around the globe. Renewable Energy Systems, Second Edition also undertakes the socio-political realities governing the implementation of renewable energy systems by introducing a theoretical framework approach aimed at understanding how major technological changes, such as renewable energy, can be implemented at both the national and international levels. - Provides an introduction to the technical design of renewable energy systems - Demonstrates how to analyze the feasibility and efficiency of large-scale systems to help implementers avoid costly trial and error - Addresses the socio-political challenge of implementing the shift to renewables - Features a dozen extensive case studies from around the globe that provide real-world templates for new installations
Author: Socrates Kaplanis
Publisher: Nova Science Publishers
ISBN: 9781624177415
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This book aims to provide a friendly and comprehensive tool in the study of the key issues of Renewable Energy Systems, in order to gain a deeper insight in this broad field through thematic investigations, and, finally, to become able to design competitive innovations and intelligent applications of Renewable Energy Systems in the domestic, agricultural and industrial sectors. This work is a collaborative attempt to elaborate useful technical information from many countries around the world concerning the efficient and effective use and management of Renewable Energy Systems, either autonomous or hybrids, and to deliver theoretical and experimental analysis in Renewable Energy Systems issues, with numerous exercises, extended problems and case studies, simulation models and algorithms, which radically contribute to comprehensive learning, innovative design and engineering applications.
Author: Neeraj Priyadarshi
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110714043
Category : Computers
Languages : en
Pages : 320
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Book Description
This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.
Author: Fang Lin Luo
Publisher: CRC Press
ISBN: 1351832603
Category : Science
Languages : en
Pages : 883
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Book Description
Energy conversion techniques are key in power electronics and even more so in renewable energy source systems, which require a large number of converters. Renewable Energy Systems: Advanced Conversion Technologies and Applications describes advanced conversion technologies and provides design examples of converters and inverters for renewable energy systems—including wind turbine and solar panel energy systems. Learn Cutting-Edge Techniques for Converters and Inverters Setting the scene, the book begins with a review of the basics of astronomy and Earth physics. It then systematically introduces more than 200 topologies of advanced converters originally developed by the authors, including 150 updated circuits on modern conversion technologies. It also discusses recently published topologies and thoroughly analyzes new converter circuits. Novel approaches include split-capacitor and split-inductor techniques that can be applied in super-lift and other converters. Resolve Historic Problems in Conversion Technologies Along with offering many cutting-edge techniques, the authors resolve some historic problems, such as the accurate determination of the conduction angle of single-phase rectifiers and power factor correction. They also describe a new series—laddered multilevel inverters—that uses few devices to produce more levels, overcoming the drawbacks of the pulse-width-modulation (PWM) inverter and providing great scope for industrial applications. Tap the Knowledge of Pioneers in the Field This book is written by pioneers in advanced conversion technology who have created a large number of converters, including the world-renowned DC/DC Luo-converters and super-lift Luo-converters. Featuring numerous examples and diagrams, it guides readers in designing advanced converters for use in renewable energy systems.
Author: Rabindra Nath Shaw
Publisher: Academic Press
ISBN: 0323984010
Category : Technology & Engineering
Languages : en
Pages : 248
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Book Description
Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. - Includes future applications of AI and IOT in renewable energy - Based on case studies to give each chapter real-life context - Provides advances in renewable energy using AI and IOT with technical detail and data
