Skip to main content
Elsevier

Books in Energy and power

Elsevier’s Energy and Power Collection offers the latest innovations in the energy transition with a focus on content that supports and advances the reduction of CO2 emissions. The collection includes content on solar, wind, geothermal, nuclear, biofuels and bioenergy, hydrogen and fuel cells, and addresses topics such as energy storage, efficiency, management, economics, and policy, among others.

  • Microgrid Technology and Microgrid Cluster Development

    • 1st Edition
    • Baseem Khan + 2 more
    • English
    Microgrid Technology and Microgrid Cluster Development is a comprehensive guide to microgrid systems fundamentals, optimization, control, protection, and energy management.The book explains microgrid architectures that might be combined to create a cluster of microgrids. This is a valuable resource for all those looking to gain a complete understanding of current microgrid and cluster technology, including students, researchers, faculty, R&D professionals, engineers, and other industry personnel with an interest in grid integration, power systems, and renewable energy.The microgrid is first defined as a standalone entity with potential interconnections with external grids. Then, the layout, line technology, and interface technology of potential microgrid cluster topologies are designed, with comparison and analysis of the various microgrid and cluster designs in terms of price, scalability, security, dependability, stability, communications, and business models. Key aspects are covered in detail, including optimization algorithms and the role of machine learning and artificial neural networks, control and protection techniques, and energy management and storage.

  • Internet of Things Cybersecurity in Critical Infrastructures

    Case Studies in Energy Systems
    • 1st Edition
    • Monika Freunek
    • English
    Internet-of-Things Cybersecurity in Critical Infrastructures: Case Studies in Energy Systems takes readers from the basic principles of cybersecurity in essential public infrastructure to the specific requirements of energy systems connected to the Internet-of-Things. This book provides a holistic approach to the challenges (legal, technological, and human) of AI and IOT integration for renewable, modern energy infrastructure. It outlines the fundamental challenges and technologies of cybersecurity for essential infrastructure and goes on to apply this specifically to energy grids and systems, in the light of the ML, AI, and IOT technologies required for renewable integration.Case studies are provided to ensure the reader is fully equipped to problem-solve and apply the knowledge in the development and planning of secure energy infrastructure. Packed with a wealth of practical experience and guidance, this book is a critical resource for energy system engineers looking for a primer on the cybersecurity needs of connected, renewable-integrated energy infrastructure.

  • Enhancing Resilience in Power Distribution Systems

    • 1st Edition
    • Fangxing Fran Li + 2 more
    • English
    Enhancing Resilience in Power Distribution Systems presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. The book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks.Packed with practical steps and tools for implementing the latest technologies, this book provides researchers and industry professionals with guidance on the resilient systems of the future.

  • Power Converters for Extraction and Conversion of Solar Photovoltaic Energy

    • 1st Edition
    • Sachin Jain + 2 more
    • English
    Renewable energy alternatives are fast becoming viable options to battle conventional fossil fuel shortcomings such as pollution, cost, and limited reserves. Understanding the requirements and source characteristics for successful power electronics and their application is pivotal to extracting power successfully.Power Converters for Extraction and Conversion of Solar Photovoltaic Energy provides a detailed analysis of the various power converter operations fed by solar PV energies. Practical aspects addressing the behavior of systems such as the operating point on source characteristics and when power converters buck or boost are considered as well, and are fundamental to effective use and applications of renewables.With computer simulation models for typical systems to give the reader a deeper insight and “feel” for the actual system, this book provides readers with a useable tool to develop and design their own systems and achieve successful power extraction.

  • Electrification and the Future of Decentralized Electricity Supply

    • 1st Edition
    • Fereidoon Sioshansi
    • English
    Electrification and the Future of Decentralized Electricity Supply addresses the role of electrification in the energy transition by examining what an electrified future entails, how it can be achieved, and the challenges that must be overcome to succeed. Starting with coverage of the energy transition and the future of electricity, this book examines how electrification, coupled with renewable energy, is the fastest and best path to a sustainable energy future. Including global case studies, this book covers everything from pricing innovations to the keys to affordable electrification, ratemaking solutions, electricity tariffs, and balancing services.Intended for researchers, professionals, academics, and students, this book is sure to be a welcomed reference for those working to advance the energy transition.

  • Reliable Non-Parametric Techniques for Energy System Operation and Control

    Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods
    • 1st Edition
    • Hongcai Zhang + 3 more
    • English
    Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods, a new Volume in the Advances in Intelligent Energy Systems, is a comprehensive guide to modern smart methods in energy system operation and control. This book covers fundamental concepts and applications in both deterministic and uncertain environments. It addresses the challenge of accuracy in imbalanced datasets and the limitations of measurements. The book delves into advanced topics such as safe reinforcement learning for energy system control, including training-efficient intrinsic-motivated reinforcement learning, and physical layer-based control, and more. Other chapters cover barrier function-based control and CVaR-based control for systems without hard operation constraints. Designed for graduate students, researchers, and engineers, this book stands out for its practical approach to advanced methods in energy system control, enabling sustainable developments in real-world conditions.

  • Energy Efficiency in Critical Times

    Security, Economics, and Transition
    • 1st Edition
    • Romanus Osabohien
    • English
    Energy Efficiency in Critical Times: Security, Economics, and Transition provides a holistic perspective on energy policy analysis and development from a global context, covering economic, security, and technological aspects. Sections focus on economic policy for energy systems, consider the impacts of policy for technological system advancement, such as vehicle electrification and renewable energy integration, demonstrate techniques for analysis of major events, including the huge ramifications of the COVID-19 pandemic and Russia’s 2022 invasion of Ukraine, and focus on energy trading across borders.Including cutting-edge analyses of recent crises and close assessment of needs specific to lower-income countries, this book provides researchers, policymakers, and students with an essential guide to energy policy for a secure and sustainable future.

  • Distribution System Modeling with Distributed Energy Resources

    Local Energy Markets, Aggregators, Grid Services, and Flexibility
    • 1st Edition
    • Salah Bahramara + 2 more
    • English
    Distribution System Modeling with Distributed Energy Resources: Local Energy Markets, Aggregators, Grid Services, and Flexibility utilizes a wide range of modeling approaches to support DER integration into the energy grid. The book opens by introducing basic principles and challenges of modern energy systems and the role of DERs in resolving issues, as well as regulatory considerations and frameworks across a variety of distributions. It goes on to demonstrate and evaluate mathematical modeling and optimizing methods, including robust and adaptive robust methods, the two-stage stochastic method, and bi-level optimization approaches.This theory is then applied to a range of test-cases which use the DER aggregator as either price-maker or price-taker, apply Karush-Kahn-Tucker condition, dual theory approaches, and bilateral contacts, TSO-DSO cooperation, and decision-making tools. With a practical, holistic approach, this book supports graduate students, researchers, and industry engineers in energy systems modeling to design sustainable power grids for the future.

  • Intelligent Data Analytics for Solar Energy Prediction and Forecasting

    Advances in Resource Assessment and PV Systems Optimization
    • 1st Edition
    • Amit Kumar Yadav + 2 more
    • English
    Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers. In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.

  • Photochemical Splitting of Water

    Fundamentals to Applications
    • 1st Edition
    • Soney C. George + 2 more
    • English
    Photochemical Splitting of Water: Fundamentals to Applications brings together information on photochemical water splitting for hydrogen production, covering basic concepts, mechanisms, instrumentation, experimental set-up, analysis, materials used as catalysts, innovative methods, and future opportunities. The book introduces the role of water splitting and hydrogen production in the current and future global energy mix and provides a basic understanding of the theories behind photochemical water splitting, instrumentation, experimental set-up, and the criteria for materials selection. Other sections offers thorough coverage of the use of specific cutting-edge active materials in photocatalytic and photoelectrocatalyti... water splitting processes, discussing recent advances and future opportunities.The final chapters of the book focus on challenges, emerging trends, and key opportunities for the future, including tandem approaches that combine a solar cell with a suitably formulated water splitting cell. A glossary of technical terms is also included, providing a clear explanation of the main concepts.

Related subjects