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This volume provides an overview of the political economy of coal in diverse country contexts.Coal is the largest source of greenhouse gas emissions globally, accounting for about 40 percent of energy-related CO2 emissions. Continued construction of coal-fired power plants could make the climate targets of the Paris Agreement infeasible to achieve. In spite of sharply declining costs for renewable energy sources, many countries still heavily rely on coal to meet their energy demand. The predominance of coal can only be adequately understood in light of the political factors that determine energy policy formulation. To this end, this edited volume assembles a wide variety of case studies exploring the political economy of coal for across the globe. These includes industrial and developing nations, coal importers and exporters as well as countries that are either substantial coal users, are just beginning to ramp up their capacities, or have already initiated a coal phase-out. Importantly, all case studies are structured along a unifying framework that focuses on the central actors driving energy policy formulation, their main objectives as well as the context that determines to what extent they can influence policy making. This large set of comparable studies will permit drawing conclusions regarding key similarities as well as differences driving coal use in different countries.This book will be of great interest to students and scholars of energy, climate change, resource management, and sustainable development. It will also appeal to practitioners and policymakers involved in sustainable development.The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution- Non Commercial- No Derivatives 4.0 license.
This book introduces Multi-objective design methods to solve Multi-objective optimization problems of linear/non-linear dynamic systems under intrinsic random fluctuation and external disturbance. All proposed design methods are based on rigorous theoretical results and their applications are focused on practical engineering design example.
The Internet of Energy (IoE), with the integration of advanced information and communication technologies (ICT), has led to a transformation of traditional networks to smart systems. Internet of Energy Handbook provides updated knowledge in the field of energy management with an Internet of Things (IoT) perspective. FeaturesExplains the technological developments for energy management leading to a reduction in energy consumption through topics like smart energy systems, smart sensors, communication, techniques, and utilizationIncludes dedicated sections covering varied aspects related to renewable sources of energy, power distribution, and generationIncorporates energy efficiency, optimization, and sensor technologies Covers multidisciplinary aspects in computational intelligence and IoTDiscusses building energy management aspects including temperature, humidity, the number of persons involved, and light intensityThis handbook is aimed at graduate students, researchers, and professionals interested in power systems, IoT, smart grids, electrical engineering, and transmission.
High penetration of renewable energy sources (RESs) imposes several techno-economic challenges to distribution system operators (DSOs) due to their variability in power generation and, hence, increases the need for additional operational flexibility. Operational flexibility aims at securely covering the possible variations at the minimum cost using emerging flexible alternatives or designing novel local market mechanisms to incentivize flexibility providers. In such a situation, the DSOs can use the potential of flexible options such as energy storages (ESs), demand response (DR), plug-in electric vehicles (PEVs), or on-site fast run generators. However, each of the mentioned flexible resources has its own specific characteristics and requirements that should be taken into account, and this raises the complexity. Optimal network reconfiguration schemes are the other solution for increasing power system flexibility at the distribution level. There is a great research gap related to renewable-based distribution network planning from a flexibility point of view. Therefore, this book aims to discuss the additional flexibility needs introduced by RESs and describe general approaches to analyze the need for and provision of additional flexibility in future distribution networks at both the planning and operational time frames. This book successfully suggests new solutions and techniques to increase the flexibility in distribution systems. It also highlights the needs for moving towards smart distribution grids in order to enhance the flexibility in modern and future power systems.
Today, there are various textbooks dealing with a broad range of topics in the power system area of electrical engineering. Some of them are considered to be classics.
This book deals with energy systems and soft-computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid connected solar PV systems for increased efficiency.
Das Buch geht auf ein sehr breites Spektrum von verschiedenen Technologien ein und erörtert ausführlich deren thermodynamische, betriebliche, wirtschaftliche und ökologische Grundlagen. Neben konventionellen Energietechniken zur Wärme- und Stromerzeugung werden in dieser Neuauflage vor allem innovative Technologien wie Brennstoffzellen, Wärmepumpen, Wasserstofftechnologien und die Nutzung und Speicherung regenerativer Energien beschrieben.
Explore the world of solar energy with this comprehensive beginner's guide. Learn about photovoltaic cells, energy conversion, system types, and more. Embrace sustainability and gain practical insights into system maintenance and troubleshooting.
This book covers modeling, control and stability aspects of hybrid AC/DC power networks. More specifically, this book provides an in-depth analysis of the stability and control aspects of hybrid AC/DC power grids, with comprehensive coverage of theoretical aspects of conventional stability issues (e.g., small-signal stability, voltage stability and frequency stability), emerging stability issues (e.g., converter associated stability) and control strategies applied in this emerging hybrid AC/DC power grids. This book takes a more pragmatic approach with a unique compilation of timely topics related to hybrid AC/DC networks compared with other books in this field. Therefore, this book provides the reader with comprehensive information on modeling, control and stability aspects which need to consider when modeling and analysis of hybrid AC/DC power grids for power system dynamics and stability studies. Each chapter provides fundamental stability theories, some worked examples and case studies to explain various modeling, analysis and control concepts introduced in the chapter. Therefore, postgraduate research students, power system researchers and power system engineers benefit from the materials presented in this book and assist them to model and device new control strategies to overcome the stability challenges of the emerging hybrid AC/DC power grid.
Transportation electrification, particularly using electric vehicles (EV), has been widely suggested to mitigate global warming and energy security issues due to their economic and environmental benefits. Environmentalists are advertising EV use, and governments are implementing financial incentives to expedite the transition from conventional vehicles to electric ones to achieve energy security and climate change mitigation goals. At the same time, EVs are becoming more affordable as their battery prices decrease. It has been predicted that EV sales will soon surpass gasoline and diesel vehicle sales. Therefore, EVs will be one of the significant electricity customers in the future. This fact hints that the uncontrolled charging and discharging of large numbers of EVs can put power systems at risk. Hence, optimal planning and operation of EVs is not only necessary but beneficial. This collection covers recent research advancements in the planning and operation of EVs in smart grids. Aglobal group of researchers and scholars present innovative approaches while covering the theoretical and experimental aspects.
This book examines different energy storage technologies, empowering the reader to make informed decisions on which system is best suited for their specific needs.Decarbonization is a crucial step towards a sustainable future, and renewable energy plays a vital role in making this transition possible. However, the intermittency of some sources such as wind and solar energy requires the use of energy storage systems. The book contains a detailed study of the fundamental principles of energy storage operation, a mathematical model for real-time state-of-charge analysis, and a technical analysis of the latest research trends, providing a comprehensive guide to energy storage systems.From battery storage systems to hydrogen storage systems, this book provides the tools to effectively manage energy and ensure that excess energy is utilized during times of deficit and signposts the likely future development and lines of research enquiry for each technology discussed. The book is of interest to researchers and professionals in energy, and engineers interested in the transition to more sustainable energy systems.
Transformers convert electric power from one voltage system to another. They are essential for electric power systems. This book covers key developments in high voltage transformer technology that are critical to adapting power systems to rising shares of renewables.
This book provides readers with expert knowledge on the design of fast charging infrastructures and their planning in smart cities and communities to support autonomous transportation. The recent development of fast charging infrastructures using hybrid energy systems is examined, along with aspects of connected and autonomous vehicles (CAV) and their integration within transportation networks and city infrastructures. The book looks at challenges and opportunities for autonomous transportation, including connected and autonomous vehicles, shuttles, and their technology development and deployment within smart communities. Intelligent control strategies, architectures, and systems are also covered, along with intelligent data centers that ensure effective transportation networks during normal and emergency situations. Planning strategies are presented to demonstrate the resilient transportation infrastructures, and optimized performance is discussed in view of performance indicators and requirements specifications, as well as regulations and standards.
This book mainly focuses on the multi-media energy prediction technology and optimization methods of iron and steel enterprises. The technical methods adopted include swarm intelligence algorithm, neural network, reinforcement learning, and so on. Energy saving and consumption reduction in iron and steel enterprises have always been a research hotspot in the field of process control. This book considers the multi-media energy balance problem from the perspective of system, studies the energy flow and material flow in iron and steel enterprises, and provides energy optimization methods that can be used for planning, prediction, and scheduling under different production scenes. The main audience of this book is scholars and graduate students in the fields of control theory, applied mathematics, energy optimization, etc.
Advances in Lithium-Ion Batteries for Electric Vehicles: Degradation Mechanism, Health Estimation, and Lifetime Prediction examines the electrochemical nature of lithium-ion batteries, including battery degradation mechanisms and how to manage the battery state of health (SOH) to meet the demand for sustainable development of electric vehicles. With extensive case studies, methods and applications, the book provides practical, step-by-step guidance on battery tests, degradation mechanisms, and modeling and management strategies. The book begins with an overview of Li-ion battery aging and battery aging tests before discussing battery degradation mechanisms and methods for analysis. Further methods are then presented for battery state of health estimation and battery lifetime prediction, providing a range of case studies and techniques. The book concludes with a thorough examination of lifetime management strategies for electric vehicles, making it an essential resource for students, researchers, and engineers needing a range of approaches to tackle battery degradation in electric vehicles.
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