Download or read book Intelligent Renewable Energy Systems written by Gerasimos Rigatos and published by Springer. This book was released on 2018-06-12 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Intelligent Energy Field Manufacturing written by Wenwu Zhang and published by CRC Press. This book was released on 2018-10-03 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by prominent researchers and with contributions from experts in their individual areas, Intelligent Energy Field Manufacturing: Interdisciplinary Process Innovations explores a new philosophy of engineering. An in-depth introduction to Intelligent Energy Field Manufacturing (EFM), this book explores a fresh engineering methodology that not only integrates but goes beyond methodologies such as Design for Six Sigma, Lean Manufacturing, Concurrent Engineering, TRIZ, green and sustainable manufacturing, and more. This book gives a systematic introduction to classic non-mechanical manufacturing processes as well as offering big pictures of some technical frontiers in modern engineering. The book suggests that any manufacturing process is actually a process of injecting human intelligence into the interaction between material and the various energy fields in order to transfer the material into desired configurations. It discusses technological innovation, dynamic M-PIE flows, the generalities of energy fields, logic functional materials and intelligence, the open scheme of intelligent EFM implementation, and the principles of intelligent EFM. The book takes a highly interdisciplinary approach that includes research frontiers such as micro/nano fabrication, high strain rate processes, laser shock forming, materials science and engineering, bioengineering, etc., in addition to a detailed treatment of the so called "non-traditional" manufacturing processes, which covers waterjet machining, laser material processing, ultrasonic material processing, EDM/ECM, etc. Filled with illustrative pictures, figures, and tables that make technical materials more absorbable, the book cuts across multiple engineering disciplines. The majority of books in this area report the facts of proven knowledge, while the behind-the-scenes thinking is usually neglected. This book examines the big picture of manufacturing in depth before diving into the deta

Download or read book Intelligent Energy Demand Forecasting written by Wei-Chiang Hong and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand. Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms. Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.

Download or read book Intelligent Integrated Energy Systems written by Peter Palensky and published by Springer. This book was released on 2018-10-26 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents research results of PowerWeb, TU Delft’s consortium for interdisciplinary research on intelligent, integrated energy systems and their role in markets and institutions. In operation since 2012, it acts as a host and information platform for a growing number of projects, ranging from single PhD student projects up to large integrated and international research programs. The group acts in an inter-faculty fashion and brings together experts from electrical engineering, computer science, mathematics, mechanical engineering, technology and policy management, control engineering, civil engineering, architecture, aerospace engineering, and industrial design. The interdisciplinary projects of PowerWeb are typically associated with either of three problem domains: Grid Technology, Intelligence and Society. PowerWeb is not limited to electricity: it bridges heat, gas, and other types of energy with markets, industrial processes, transport, and the built environment, serving as a singular entry point for industry to the University’s knowledge. Via its Industry Advisory Board, a steady link to business owners, manufacturers, and energy system operators is provided.

Download or read book Energy and Civilization written by Vaclav Smil and published by MIT Press. This book was released on 2018-11-13 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive account of how energy has shaped society throughout history, from pre-agricultural foraging societies through today's fossil fuel–driven civilization. "I wait for new Smil books the way some people wait for the next 'Star Wars' movie. In his latest book, Energy and Civilization: A History, he goes deep and broad to explain how innovations in humans' ability to turn energy into heat, light, and motion have been a driving force behind our cultural and economic progress over the past 10,000 years. —Bill Gates, Gates Notes, Best Books of the Year Energy is the only universal currency; it is necessary for getting anything done. The conversion of energy on Earth ranges from terra-forming forces of plate tectonics to cumulative erosive effects of raindrops. Life on Earth depends on the photosynthetic conversion of solar energy into plant biomass. Humans have come to rely on many more energy flows—ranging from fossil fuels to photovoltaic generation of electricity—for their civilized existence. In this monumental history, Vaclav Smil provides a comprehensive account of how energy has shaped society, from pre-agricultural foraging societies through today's fossil fuel–driven civilization. Humans are the only species that can systematically harness energies outside their bodies, using the power of their intellect and an enormous variety of artifacts—from the simplest tools to internal combustion engines and nuclear reactors. The epochal transition to fossil fuels affected everything: agriculture, industry, transportation, weapons, communication, economics, urbanization, quality of life, politics, and the environment. Smil describes humanity's energy eras in panoramic and interdisciplinary fashion, offering readers a magisterial overview. This book is an extensively updated and expanded version of Smil's Energy in World History (1994). Smil has incorporated an enormous amount of new material, reflecting the dramatic developments in energy studies over the last two decades and his own research over that time.

Download or read book Hybrid Intelligent Technologies in Energy Demand Forecasting written by Wei-Chiang Hong and published by Springer Nature. This book was released on 2020-01-01 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for researchers and postgraduates who are interested in developing high-accurate energy demand forecasting models that outperform traditional models by hybridizing intelligent technologies. It covers meta-heuristic algorithms, chaotic mapping mechanism, quantum computing mechanism, recurrent mechanisms, phase space reconstruction, and recurrence plot theory. The book clearly illustrates how these intelligent technologies could be hybridized with those traditional forecasting models. This book provides many figures to deonstrate how these hybrid intelligent technologies are being applied to exceed the limitations of existing models.

Download or read book Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Intelligent Automation in Renewable Energy written by Tetyana Baydyk and published by Springer. This book was released on 2019-02-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.

Download or read book Survival written by Sir Oliver Lodge and published by . This book was released on 1925 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Learning Approaches for Renewable and Sustainable Energy written by Josep M. Guerrero and published by Elsevier. This book was released on 2024-02-21 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. - Explores cutting-edge intelligent techniques and their implications for future energy systems development - Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more - Includes a range of case studies that provide insights into the challenges and solutions in real-world applications

Download or read book Intelligent Control in Energy Systems written by Anastasios Dounis and published by MDPI. This book was released on 2019-08-26 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Download or read book Intelligent Thermal Energy Systems written by Cheng Siong Chin and published by . This book was released on 2020-02-04 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers an overview and applications of the thermal storage systems used in batteries for the electric automotive industry such as in electric vehicles, thermal storage system in smart grid systems, thermal harvesting for battery-less use for wireless sensor networks, thermo-electric generators and biomedical sensing. The thermal storage system can be used to harvest energy for implementation of battery-less, zero-maintenance and place-and-forget electronic systems. This book has been prepared for the needs of those who seek an application on developing the thermal system. The choice of material is guided by the basic objective of making an engineer or student capable of dealing with thermal system design. The book can be used as reference book for undergraduate and postgraduate students in the area of thermal system overview, design and applications. Lithium iron phosphate (LiFePO4) batteries have gained significant traction in the electric automotive industry in the recent years mainly due to their high safety performance, flat voltage profile and low cost. Although LiFePO4 batteries have excellent thermal stability, they still suffer from thermal runaway like other lithium-ion type cells. Thermal volatility is a major drawback in the lithium-ion and sufficient knowledge of the thermal distribution and heat generation of the LiFePO4 battery is necessary to avoid catastrophic thermal failure. The first chapter details the thermal analysis of a LiFePO4 battery cell with a latent heat thermal cooling wrap. The model has been developed as a tool to study the cooling effects of the wrap on the battery cell during discharging. The proposed latent heat storage based battery cooling wrap is used to passively manage the heat produced by the cell and absorbing and maintaining the battery temperature within operational temperatures and below thermal runaway temperature. Thermal energy storage (TES) is another important concept of the smart grid systems. For non-renewable, the benefit of TES systems is the improvement of the generation performance by supporting the energy demand during peak hours. Also, TES is often able to improve the system efficiency in a way that is more energy and cost effective. The best-known method for thermal energy storage is by utilizing the latent heat of fusion of energy storage material known as phase change materials (PCM). TES systems are classified into two main categories such as sensible and latent heat storage. An overview of the research on performance improvement are also delineated. Hence, the thermal energy harvesting has indeed gained attention in the last decade due to its promising possibilities in area such as wireless sensor networks (WSN) for wide range of IoT (Internet of Things) applications. Thermal energy scavenging from waste heat can enable implementation of battery-less, zero-maintenance and place-and-forget electronic systems. Scavenging energy from the temperature difference between human body heat and ambiance is an attractive solution for powering wearables for continuous health monitoring, biomedical sensing and body area sensor networks (BASN). The low energy efficiency and low voltage output of the thermo-electric generators (TEG) pose challenges to the deployment of industry ready powering systems"--

Download or read book Smart Energy Grid Engineering written by Hossam Gabbar and published by Academic Press. This book was released on 2016-10-12 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Energy Grid Engineering provides in-depth detail on the various important engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid. Governments around the world are investing heavily in smart energy grids to ensure optimum energy use and supply, enable better planning for outage responses and recovery, and facilitate the integration of heterogeneous technologies such as renewable energy systems, electrical vehicle networks, and smart homes around the grid. By looking at case studies and best practices that illustrate how to implement smart energy grid infrastructures and analyze the technical details involved in tackling emerging challenges, this valuable reference considers the important engineering aspects of design and implementation, energy generation, utilization and energy conservation, intelligent control and monitoring data analysis security, and asset integrity. - Includes detailed support to integrate systems for smart grid infrastructures - Features global case studies outlining design components and their integration within the grid - Provides examples and best practices from industry that will assist in the migration to smart grids

Download or read book Intelligent Data Analytics for Power and Energy Systems written by Hasmat Malik and published by Springer Nature. This book was released on 2022-02-17 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

Download or read book Intelligent Computing for Sustainable Energy and Environment written by Kang Li and published by Springer. This book was released on 2013-05-13 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2012, held in Shanghai, China, in September 2012. The 60 full papers presented were carefully reviewed and selected from numerous submissions and present theories and methodologies as well as the emerging applications of intelligent computing in sustainable energy and environment.

Download or read book Intelligent Computing Techniques for Smart Energy Systems written by Akhtar Kalam and published by Springer Nature. This book was released on 2019-12-16 with total page 1011 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book compiles the research works related to smart solutions concept in context to smart energy systems, maintaining electrical grid discipline and resiliency, computational collective intelligence consisted of interaction between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It includes high-quality papers presented in the International Conference on Intelligent Computing Techniques for Smart Energy Systems organized by Manipal University Jaipur. This book will motivate scholars to work in these areas. The book also prophesies their approach to be used for the business and the humanitarian technology development as research proposal to various government organizations for funding approval.

Download or read book The Intelligent Body Reversing Chronic Fatigue and Pain From the Inside Out written by Kyle L. Davies and published by W. W. Norton & Company. This book was released on 2017-05-02 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exercises and strategies for long-term emotional well-being in the face of physical difficulties. Why are we seeing growing numbers of people suffering from debilitating chronic symptoms of pain, fatigue, inflammation and cognitive impairment that medicine is failing to resolve? A new paradigm is needed where we understand the mind and body as an interconnected flowing system. This paradigm embraces the self-healing, self-correcting, and self-creating natures of our connected mind-body system. Physical symptoms are simply a sign of disharmony and energetic imbalance, a “tap on the shoulder” from our intelligent body that is trying to get our attention. This “tap” on the shoulder can become debilitating symptoms over time. When we pay attention, and understand this communication, we can take the steps to facilitate our own self-healing. This book explains the origins of chronic symptoms and outlines the road to recovery. Readers are offered life-changing principles and practices to regain harmony in their lives and bodies, whether they suffer from chronic fatigue syndrome, fibromyalgia, adrenal fatigue, trauma, depression, or anxiety. It explains how we can learn to heal ourselves from the inside out by reconceptualizing the relationships among our bodies, minds, and emotions, embracing the full importance of the mind-body connection, and tapping our natural restorative capacities. Here, readers will find ways to maximize the connections between optimum health, peace of mind, and fulfilling life experiences, all emerging when we are aligned with our “true self.”