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A Flywheel Energy Storage System (FESS) can rapidly inject or absorb high amounts of active power in order to support the grid, following abrupt changes in the generation or in the demand, with no concern over its lifetime. The work presented in this book studies the grid integration of a high-speed FESS in low voltage distribution grids from several perspectives, including optimal allocation, sizing, modeling, real-time simulation, and Power Hardware-in-the-Loop testing.

Energy storage.

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Presents the table of contents of the proceedings.

Energy storage

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Power-to-Gas: Bridging the Electricity and Gas Networks introduces the concept of Power-to-Gas (P2G) technologies in the Whole Energy System framework and related Vector-Coupling Technologies (VCTs). The boo provides a comprehensive approach to the economic, technical and environmental evaluation of P2G technology to make more effective use of the surplus power of renewable units. It covers converting electricity to hydrogen or methane, and the challenges, analytical solutions and future trends of P2G applications. Moreover, the reference features technology overviews and literature reviews in each chapter, along with concepts, appropriate definitions, fundamentals and contexts in the energy systems. Finally, modeling issues and requirements for analysis Gas and Power Vector-Coupling Technologies are presented and supported by real-world case studies and experimental examples. By uniquely analyzing issues from the whole energy system perspective, this book plays a pivotal role in supporting researchers and academicians in electrical, mechanical and energy engineering in their long-term decarbonization strategies.

Energy storage. --- Hybrid power systems.

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Evidently, electrochemical sensing has revolutionized the electroanalytical detections in the world. Since the 19th century, a huge amount of growth has been visible on various fronts, such as biosensors, energy devices, semiconductor devices, communication, embedded systems, sensors etc. However, the major research gap lies in the fact that most of the reported literatures are bulk systems; hence there are limitations for practical applications. Research in these domains has been carried out by both academia and industry, whereby academics is the backbone whose intellectual outputs have been widely adopted by the industry and implemented for consumers at large. In order to impart portability to the electrochemical sensors for point-of-care application, the collaboration of electrochemistry, microfluidics, electronics and communication as an interdisciplinary forum is crucial. The miniaturization, automation, IoT enabling and integration are the requirements for building the mentioned research gap. The conversion of electrochemical sensing theoretical concepts to practical applications in real time via miniaturization and integration of microfluidics will enhance this domain. In this context, of lately, several research groups have developed miniaturized microdevices as electrochemical-sensing platforms. This has led to a demand of offering a reference book as a guideline for the PhD programs in electrochemistry, MEMS, electronics and communication. Undoubtedly, this will have a huge impact for R&D in industries, public-funded research institutes and academic institutions. The book will provide a single forum to understand the current research trends and future perspectives of various electrochemical sensors and their integration in microfluidic devices, automation and point-of-care testing. For students, the book will become a motivation for them to explore these areas for their career standpoints. For the professionals, the book will become a thought-provoking stage to manoeuvre the next-generation devices/processes for commercialization.

Energy storage --- Supercapacitors --- Electric batteries

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This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions. The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions. Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support more informed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage. This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal.

Electric power distribution --- Energy storage --- Automation.