Simulation of Battery Systems: Fundamentals and Applications covers both the fundamental and technical aspects of battery systems. It is a solid reference on the simulation of battery dynamics based on fundamental governing equations of porous electrodes. Sections cover the fundamentals of electrochemistry and how to obtain electrochemical governing equations for porous electrodes, the governing equations and physical characteristics of lead-acid batteries, the physical characteristics of zinc-silver oxide batteries, experimental tests and parameters necessary for simulation and validation of battery dynamics, and an environmental impact and techno-economic assessment of battery systems for different applications, such as electric vehicles and battery energy storage. The book contains introductory information, with most chapters requiring a solid background in engineering or applied science. Battery industrial companies who want to improve their industrial batteries will also find this book useful.

Low-voltage equipment is designed for handling low voltages at consumer-level. This includes computing and telecommunications systems, power distribution grids and PV systems, and EV charging facilities. Exposure to sudden high voltage surges, for example, from switching or lightning, can damage or destroy low-voltage equipment. Protection of low-voltage equipment and systems from such phenomena is thus vital for human safety as well as preventing damages, and so understanding the processes and protective countermeasures is of great importance. This book offers a systematic and thorough treatise of the topic for researchers in industry and universities as well as utility experts and advanced students and more generally for all people involved in electromagnetic compatibility or designing surge protection systems and lightning protection systems. The book aims to provide answers to all readers' questions from the simplest to the most complicated, including guidance on the application of surge protective devices (SPD) illustrated by many cases studies. Following an introduction, chapters cover lightning and surges, risk assessment, standard environment, surge protection (surge protective components and surge protective devices), and their applications, new trends and unsolved challenges.

Solar Cells and Light Management: Materials, Strategies and Sustainability provides an extensive review on the latest advances in PV materials, along with light management strategies for better exploiting the solar spectrum. Following a brief review of the current status of solar cells, the book discusses different concepts, principles and technologies for solar devices, starting with standard silicon cells and then covering organic-hybrid, DSSC, perovskite, quantum dots and nanostructured oxide solar cells. Other sections focus on light manipulation and spectral modification, materials for spectral conversion, and environmental and sustainably considerations. An emergy analysis, which is an extension of the Life Cycle Assessment methodology, is applied to the study of solar PV systems, thus allowing for effective integrated indicators.

Energy for Sustainable Development: Demand, Supply, Conversion and Management presents a comprehensive look at recent developments and provides guidance on energy demand, supply, analysis and forecasting of modern energy technologies for sustainable energy conversion. The book analyzes energy management techniques and the economic and environmental impact of energy usage and storage. Including modern theories and the latest technologies used in the conversion of energy for traditional fossil fuels and renewable energy sources, this book provides a valuable reference on recent innovations. Researchers, engineers and policymakers will find this book to be a comprehensive guide on modern theories and technologies for sustainable development.

Design and Operation of Solid Oxide Fuel Cells: The Systems Engineering Vision for Industrial Application presents a comprehensive, critical and accessible review of the latest research in the field of solid oxide fuel cells (SOFCs). As well as discussing the theoretical aspects of the field, the book explores a diverse range of power applications, such as hybrid power plants, polygeneration, distributed electricity generation, energy storage and waste management-all with a focus on modeling and computational skills. Dr. Sharifzadeh presents the associated risks and limitations throughout the discussion, providing a very complete and thorough analysis of SOFCs and their control and operation in power plants. The first of its kind, this book will be of particular interest to energy engineers, industry experts and academic researchers in the energy, power and transportation industries, as well as those working and researching in the chemical, environmental and material sectors.

Goal Oriented Methodology and Applications in Nuclear Power Plants: A Modern Systems Reliability Approach presents the latest data and research on the modern system reliability approach by GO methodology to improve the quality and reliability of nuclear power plants (NPP). Quality and reliability are two key factors which are critical to the economic success of NPPs, hence this book provides a comprehensive and systematic analysis of the latest data and research illustrated through the provision of examples and solutions, applications and problems to test comprehension. Authors Xiao-Jian, Jian and Hui-Na systematically illustrate reliability modeling, analysis, optimization allocation and assessment, and their applications in NPPs. This book, without assuming prior knowledge, presents all required information in an accessible and easily applied style. It will be particularly valuable to engineering and reliability professionals, nuclear engineering graduate students, reliability engineering specialists and nuclear energy researchers.

Inequality and Energy: How Extremes of Wealth and Poverty in High Income Countries Affect CO2 Emissions and Access to Energy challenges energy consumption researchers in developed countries to reorient their research frameworks to include the effects of economic inequality within the scope of their investigations, and calls for a new set of paradigms for energy consumption research. The book explores concrete examples of energy deprivation due to inequality, and provides conceptual tools to explore this in relation to other issues regarding energy consumption. It thereby urges that energy consumption approaches be updated for a world of increasing inequality. Extreme economic inequality has increased within developed countries over the past three decades. The effects of inequality are now seen increasingly in health, housing affordability, crime and social cohesion. There are signs it may even threaten democracy. Researchers are also exploring its effects on energy consumption. One of their key findings is that less privileged groups have lost consistent access to basic energy services like warm homes and affordable transport, leading to huge disparities of climate damaging emissions between rich and poor.

Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.

Precisely matched unit-by-unit to the 2010 specification, providing a no-nonsense approach to tackling the new specification. Full technical checks from JTL and an external technical reviewer on all text and diagrams, so that tutors and candidates can take top quality reliable content as a given. Knowledge checks at the end of each chapter including multiple choice questions get candidates to test what they've learned, to help them keep track of their progress, and retain their motivation.

Renewable energy is crucial to preserve the environment. This energy involves various systems that should be optimized and assessed to provide better performance. The goal of this book is to present the latest research works on nature-inspired computing approaches applied to the design and development of renewable energy systems. The design and development of renewable energy systems remain a challenge. This book focuses on nature-inspired computing approaches which are the most prevailing solutions. Therefore, the book provides new solutions to the renewable energy domain. It is an essential research book for researchers, students, engineers, and individuals working in the renewable energy industry.

Decision Making Applications in Modern Power Systems presents an enhanced decision-making framework for power systems. Designed as an introduction to enhanced electricity system analysis using decision-making tools, it provides an overview of the different elements, levels and actors involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems, strategies, alternatives, viewpoints and priorities in support of decision-making in the electric power sector, including discussions of energy storage and smart grids. As a practical training guide on theoretical developments and the application of advanced methods for practical electrical energy engineering problems, this reference is ideal for use in establishing medium-term and long-term strategic plans for the electric power and energy sectors.

For courses in Control Theory. Progressively develop students' problem-solving skills through an integrated design and analysis approach to real-world engineering problems Modern Control Systems presents the structure of feedback control theory and provides a sequence of exciting discoveries as students proceed through the text and problems. Written to be equally useful for all engineering disciplines, this text is organised around the concepts of control systems theory in the context of frequency and time domains. It provides coverage of both classical and modern methods of control engineering to give students a strong foundation in basic principles that they can utilise to explore advanced topics in later chapters. Emphasis is placed on real-world complex control systems and practical design applications as well as evolving design strategies like green engineering and human-centered design. Problem solving is strongly emphasised, with an abundance of problems of increasing complexity that help students learn to apply theory to computer-aided design and analysis concepts using MATLAB and LabVIEW MathScript. The 14th Edition incorporates over 20% new or updated problems, with a total of over 980 end-of-chapter exercises, problems, advanced problems, design problems, and computer problems.

Nonlinear Electronics 2: Flip-Flops, ADC, DAC and PLL deals with the appearance of nonlinear electronic circuits and their behavior. The book covers a number of circuits that interface between analog and digital electronics, such as astable, monostable, biostable, Schmitt trigger, analog-to-digital conversion and digital-to-analog conversion. In addition, the book deals with all aspects of these circuits, starting from discrete component and gradually going to the integrated circuit.

Mechanical Properties of Polycarbonate: Experiment and Modeling for Aeronautical and Aerospace Applications provides a detailed description on experimental characterization, material modeling and finite element simulation method for polycarbonate in aeronautical and aerospace applications. The book presents the experiment facilities and methods used in characterizing the mechanical properties of polycarbonate in a large range of strain rates and temperatures. The constitutive modeling of polycarbonate and the finite element simulation of polycarbonate products under impact loading are illustrated in detail. Finally, an optimization methodology is devised to optimize the injection molding process parameters for high mechanical performance of the product under impact loading.

Graphene-Based Nanotechnologies for Energy and Environmental Applications explores how graphene-based materials are being used to make more efficient, reliable products and devices for energy storage and harvesting and environmental monitoring and purification. The book outlines the major sustainable, recyclable, and eco-friendly methods for using a range of graphene-based materials in innovative ways. It represents an important information source for materials scientists and engineers who want to learn more about the use of graphene-based nanomaterials to create the next generation of products and devices in energy and environmental science. Graphene-based nanotechnologies are at the heart of some of the most exciting developments in the fields of energy and environmental research. Graphene has exceptional properties, which are being used to create more effective products for electronic systems, environmental sensing devices, energy storage, electrode materials, fuel cell, novel nano-sorbents, membrane and photocatalytic degradation of environmental pollutants especially in the field of water and wastewater treatment.

Time domain modeling is a fascinating world which brings together several complex phenomena and methods of essential interest to engineers. This book is a reference guide which discusses the most advanced time-domain modeling methods and applications in electromagnetics and electrical engineering. The book starts by clearly explaining why time-domain modeling may be worth doing; then, it provides guidelines about why some choices must be made among the principal modeling approaches and next guides the reader through the state of the art in time domain modeling, concerning either numerical and analytical methods, and applications. Finally, it highlights areas for future time-domain modeling research. The book is a collection of chapters written by leading research groups in the fields, following a logical development set out by the editor. Topics covered include finite element methods in time domain with applications to low-frequency problems; transient analysis of scattering from composite objects using late-time stable TDIEs; the transmission-line modeling method, partial element equivalent circuit method in time-domain; unconditionally stable time-domain methods; time-domain linear macromodeling, analytical techniques for transient analysis; the application of the finite-difference time-domain (FDTD) technique to lightning studies; modeling of lightning and its interaction with overhead conductors; transient behaviour of grounding systems; and statistics of electromagnetic reverberation chambers and their simulation through time domain modeling.

Well Productivity Handbook: Vertical, Fractured, Horizontal, Multilateral, Multi-fractured, and Radial-Fractured Wells, Second Edition delivers updated examples and solutions for oil and gas well management projects. Starting with the estimation of fluid and reservoir properties, the content then discusses the modeling of inflow performance in wells producing different types of fluids. In addition, it describes the principle of well productivity analysis to show how to predict productivity of wells with simple trajectories. Then advancing into more complex trajectories, this new edition demonstrates how to predict productivity for more challenging wells, such as multi-lateral, multi-fractured and radial-fractured. Rounding out with sample problems to solve and future references to pursue, this book continues to give reservoir and production engineers the tools needed to tackle the full spectrum of completion types.

Carbon Based Nanomaterials for Advanced Thermal and Electrochemical Energy Storage and Conversion presents a comprehensive overview of recent theoretical and experimental developments and prospects on carbon-based nanomaterials for thermal, solar and electrochemical energy conversion, along with their storage applications for both laboratory and industrial perspectives. Large growth in human populations has led to seminal growth in global energy consumption, hence fossil fuel usage has increased, as have unwanted greenhouse gases, including carbon dioxide, which results in critical environmental concerns. This book discusses this growing problem, aligning carbon nanomaterials as a solution because of their structural diversity and electronic, thermal and mechanical properties.

With the integration of more distributed or aggregated renewables, and the wide utilization of power electronic devices, modern power systems are facing new stability and security challenges, such as the weakly damped oscillation caused by wind farms connected through long distance transmission lines, the frequency stability problem induced by the reduction of inertia and the voltage stability issue resulting from the interactions between transmission systems and dynamic loads. Meanwhile, synchronized phasor measurement technology developed very fast in the last decade, and more phasor measurement units (PMUs) and wide area measurement systems (WAMSs) have been deployed. These provide more insights into the system dynamics and approaches to overcoming the new challenges. This book addresses the emerging concepts, methodologies and applications of wide area monitoring, control and protection in power systems with integrated large scale renewables. Chapters cover monitoring, modelling and validation, control, and data mining with an emphasis on synchrophasor technology, and experiences with real power grids.