Electrification: Accelerating the Energy Transition offers a widely applicable framework to delineate context-sensitive pathways by which this transition can be accelerated and lists the types of processes and structures that may hinder progress towards this goal. The framework draws insights from well-established literature, ranging from technological studies to socio-technical studies of energy transitions, on to strategic niche management approaches, (international) political economy approaches, and institutionalist literatures, while also adopting wider social theoretical ideas from structuration theory. Contributors discuss a multitude of case studies drawn from global examples of electrification projects. Brief case studies and text boxes help users further understand this domain and the technological, infrastructural and societal structures that may exercise significant powers.

Innovation Dynamics and Policy in the Energy Sector discusses the process and future of global innovation in the energy sector based on the innovation leadership example of Texas. The book proposes that the positive dynamics of Texas energy sector innovations arises from a confluence of factors, including supportive institutions, the management of technological change, competitive markets, astute public policy, intraindustrial collaboration, a cultural focus on change and risk-taking, and natural resource abundance. Heavily case-study focused chapters review the fundamental drivers of innovation, from key discoveries at Spindletop; the proliferation of oil production through major field development; through electric sector deregulation; and recent innovation in hydraulic fracking, renewable integration, and carbon capture. The work closes to argue that sustainable global innovation addressing the twin challenges of climate change and the energy transition must be driven by the promotion of competition and risk-taking which continually promotes the development of ideas, a process jointly funded by the public and private sectors and supported by collaborative and competitive institutions.

Physical Capital Development and Energy Transition in Latin America and the Caribbean introduces the reader to applied theory and potential solutions to manage the transition from fossil energies to renewables given the resource wealth and infrastructural limitations of Latin American and Caribbean (LAC) countries. The work presents consistent empirical approaches and relevant econometric approaches grounded in case studies that offer realistic portrayals of complex multidisciplinary phenomena. It provides policymakers with the knowledge needed for economic decision-making, especially regarding the energy transition and the physical capital development in the LAC (and similar developing regions). The work concludes by road mapping future LAC physical capital investment options to promote 21st-century sustainable energy development.

Large rural areas in some regions of the world are still grappling with the challenge of electrification. The optimal solution is to provide reliable energy without adding more fossil fuel plants by using distributed renewable generation. Microgrids are part of that solution; they are small networks of electricity users, with a local generator that is attached to a centralized larger grid, but which is also able to function independently. They need to be robust and resilient in order to provide reliable power, including in harsh climates. For remote areas microgrids have the advantage of offering an electricity supply even if there are problems with the larger power grid. This book focuses on the challenges of rural electrification, particularly in poorer regions. It covers low voltage DC distribution system for various applications including charging of electric vehicles (EV). Written by a large team of authors with a wide range of relevant experiences, the book addresses microgrid architectures, converters, energy storage, control, EV integration, business models and economic scheduling, and the role of blockchain technology. The authors have used case studies to provide illustrative examples of the technologies discussed and solutions proposed.

The Cost of Electricity is an essential tool for any researcher or practitioner seeking to establish the economic and environmental cost of power generation, and thereby to analyse the economic feasibility of power systems. Chapters cover capital cost, fuel cost, levelised cost, subsidies and tariffs, lifetime emission analysis, net energy analysis, traditional generation costs and renewable generation costs. The work is based on published analyses of generation costs and generation cost predictions from trusted organisations such as the US Energy Information Administration and the IEA. Chapters proceed in a logical manner through cost factors before concluding with the current and future cost of electricity generation.

Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for the condition monitoring of electrical equipment. With chapters discussing the fundamentals of machine learning and data analytics, the book is divided into two parts, including i) The application of intelligent data analytics in Solar PV fault diagnostics, transformer health monitoring and faults diagnostics, and induction motor faults and ii) Forecasting issues using data analytics which looks at global solar radiation forecasting, wind data forecasting, and more. This reference is useful for all engineers and researchers who need preliminary knowledge on data analytics fundamentals and the working methodologies and architecture of smart grid systems.

Energy Storage Devices for Renewable Energy-Based Systems: Rechargeable Batteries and Supercapacitors, Second Edition is a fully revised edition of this comprehensive overview of the concepts, principles and practical knowledge on energy storage devices. The book gives readers the opportunity to expand their knowledge of innovative supercapacitor applications, comparing them to other commonly used energy storage devices. With new application case studies and definitions, this resource will strengthen your understanding of energy storage from a practical, applications-based point-of-view without requiring detailed examination of underlying electrochemical equations. Users will learn about various design approaches and real-time applications of ESDs. Electronic engineering experts and system designers will find this book useful to deepen their understanding on the application of electronic storage devices, circuit topologies, and industrial device data sheets to develop new applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding the concepts of renewable energy sources and state-of-the-art ESDs.

Cyber-Physical Power System State Estimation updates classic state estimation tools to enable real-time operations and optimize reliability in modern electric power systems. The work introduces and contextualizes the core concepts and classic approaches to state estimation modeling. It builds on these classic approaches with a suite of data-driven models and non-synchronized measurement tools to reflect current measurement trends required by increasingly more sophisticated grids. Chapters outline core definitions, concepts and the network analysis procedures involved in the real-time operation of EPS. Specific sections introduce power flow problem in EPS, highlighting network component modeling and power flow equations for state estimation before addressing quasi static state estimation in electrical power systems using Weighted Least Squares (WLS) classical and alternatives formulations. Particularities of the state estimation process in distribution systems are also considered. Finally, the work goes on to address observability analysis, measurement redundancy and the processing of gross errors through the analysis of WLS static state estimator residuals.

Electric vehicles (EV), are being hailed as part of the solution to reducing urban air pollution and noise, and staving off climate change. Their success hinges on the availability and reliability of fast and efficient charging facilities, both stationary and in-motion. These in turn depend on appropriate integration with the grid, load and outage management, and on the mitigation of loads using renewable energy and storage. Charging management to preserve the battery will also play a key role. This book covers the latest in charging technology; stationary as well as wireless and in-motion. Grid integration, simulations, fast charging, and battery management are also addressed. The objective of this book is to provide readers with an in-depth knowledge about EV charging infrastructure, and grid integration issues and solutions. The book serves as a reference for researchers in academia and industry, covering almost every aspect of the charging and grid integration of EVs.