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This book focuses on the economics of smart meters and is one of the first to present comprehensive evidence on the impacts, cost-benefits and risks associated with smart metering. Throughout this volume, Jacopo Torriti integrates his findings from institutional cost-benefit analyses and smart metering trials in a range of European countries with key economic and social concepts and policy insights derived from almost ten years of research in this area. He explores the extent to which the benefits of smart meters outweigh the cost, and poses key questions including: which energy savings can be expected from the roll out of smart meters in households? Is Cost-Benefit Analysis an appropriate economic tool for assessing the impacts of smart metering rollouts? Can smart meters play a significant role in research on people’s activities and the timing of energy demand? Torriti concludes by providing a much-needed survey of recent changes and expected future developments in this growing field. This book will be of great interest to students and scholars of energy policy and demand and smart metering infrastructure.
Taking into account the present day trends and the requirements, this Brief focuses on smart metering of electricity for next generation energy efficiency and conservation. The contents include discussions on the smart metering concepts and existing technologies and systems as well as design and implementation of smart metering schemes together with detailed examples.
This book describes how equipping buildings with smart meters is essential to improve the prediction of energy costs within smart grids and to help end-users optimize their energy consumption. The book reports on the results of the European Upper Rhine INTERREG project SMI (www.smi.uha.fr), which connects artificial intelligence and micro-societal analysis. It is multidisciplinary and addresses the following aspects: social, legal, environmental, and technical. One of the critical factors for the transition to clean energy is the flexibility of the power grid. A flexible grid requires a constant flow of data about the network and its demand, on the other hand, clients who produce electrical power can be an active part of the demand response if they are informed about the power needs of their appliances. “If you cannot measure it, you cannot improve it.” This common management saying also holds true for the area energy efficiency. Without a clear understanding of their energy usage, consumers are unable to take steps to reduce their consumption. A new intelligent tool is presented that is more efficient, safe, and acceptable to consumers. Thus, users of this intelligent tool will be able to collect and predict the consumption of their electrical appliances. At the same time, the consumption information is anonymized before being relayed to the energy supplier. In parallel, new techniques will be evaluated to improve the security level of the smart meter in a highly heterogeneous network.
Under European Directives, all member states are required to install 'intelligent metering systems' - smart meters - to at least 80% of domestic electricity consumers by 2020. The UK Government has opted for a more challenging programme, with plans for energy suppliers to install smart electricity and gas meters in all homes and smaller non-domestic premises in Great Britain by 2019. The Department estimates that the smart meters programme will cost some £11.7 billion. This large complex programme requires replacing around 53 million gas and electricity meters, with significant uncertainties over the estimated costs and benefits involved. Installation costs will be borne by consumers through their energy bills, but many of the benefits accrue in the first instance to energy suppliers. No transparent mechanism presently exists for ensuring savings to the supplier are passed on to consumers, and the track record of energy companies to date does not inspire confidence that this will happen. There remain significant uncertainties in a number of key areas in the programme and the Department needs to address these by conducting proper trials to identify and manage the risks associated with an IT project involving such a substantial amount of money which is financed by individuals as consumers. The Department needs to ensure that the vulnerable, those on low incomes and those who use prepayment meters also benefit from smart meters. It would be unacceptable if these consumers bore the costs of smart meters through higher charges without getting a share of the potential benefits.
There are major risks the Department of Energy and Climate Change must address to achieve value for money from its £11.3 billion national programme to install 'smart' electricity and gas meters in all homes and smaller non-domestic premises in Great Britain from 2014 to 2019. Smart meters provide consumers with detailed information on their energy use and can enable energy suppliers to provide a wider range of off-peak tariffs as well as allowing suppliers to collect meter readings remotely. The cost of installing smart meters in every home and smaller non-domestic premise and the associated communications technology will be borne by energy suppliers, passing on the costs and efficiency savings to their customers. Uncertainties remain over the cost of the programme, and the Department still has to develop a specification for the central data and communications system. The Department estimates the economic benefits at £18.6 billion between 2011 and 2030 (achieving a discounted net benefit of £7.3 billion). However, there is uncertainty about the extent to which smart meters will result in changed energy use by consumers over a sustained period. Other risks that the NAO has highlighted are that there is very little contingency time to address the risk that design approvals, procurement and testing take longer than planned; that the system will have to be flexible enough to minimize the risk of future obsolescence; and that the Department has more work to do on the security of the system.
Smart Metering: Infrastructure, Methodologies, Applications and Challenges combines the fundamentals of smart meters in smart grids with the latest advances and technologies in advanced smart infrastructure. With a strong focus on practical guidance and applications, this book examines the design and implementation of smart meters, as well as cyber security and data management challenges. Following an introduction to smart grid architecture, the book details design elements of smart meters to enable them for specific applications, such as recording the energy consumption of users, load forecasting, resilience enhancement and energy theft detection. A deep dive into smart meter data analytics is then presented, accompanied by load forecasting methods and their advantages and challenges. Subsequent chapters also discuss outage management, fault identification and other applications of smart meters, including power network connection verifications. This is a comprehensive resource on smart metering and a valuable read to students, researchers and engineers interested in power systems engineering, smart grids, and smart energy technologies. - Discusses advanced architecture in the context of establishing smart meters in smart grids for enhanced operation and data utilization - Provides detailed discussions on smart meter data analysis - Explores the design of smart meters and possible implementation of AI, ML, and other advanced methodologies to enhance the functions of power systems using smart meter data
This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.
Understanding the recent developments in renewable energy is crucial for a range of fields in today’s society. As environmental awareness and the need for a more sustainable future continues to grow, the uses of renewable energy, particularly in areas such as smart grid, must be considered and studied thoroughly to be implemented successfully and move society toward a more sustainable future. Optimal Planning of Smart Grid With Renewable Energy Resources offers a detailed guide to the new problems and opportunities for sustainable growth in engineering by focusing on modeling diverse problems occurring in science and engineering as well as novel effective theoretical methods and robust optimization theories, which can be used to analyze and solve multiple types of problems. Covering topics such as electric drives and energy systems, this publication is ideal for researchers, academicians, industry professionals, engineers, scholars, instructors, and students.
Smart grid (SG), also called intelligent grid, is a modern improvement of the traditional power grid that will revolutionize the way electricity is produced, delivered, and consumed. Studying key concepts such as advanced metering infrastructure, distribution management systems, and energy management systems will support the design of a cost-effective, reliable, and efficient supply system, and will create a real-time bidirectional communication means and information exchange between the consumer and the grid operator of electric power. Optimizing and Measuring Smart Grid Operation and Control is a critical reference source that presents recent research on the operation, control, and optimization of smart grids. Covering topics that include phase measurement units, smart metering, and synchrophasor technologies, this book examines all aspects of modern smart grid measurement and control. It is designed for engineers, researchers, academicians, and students.
This book discusses the use of smart metering technology (SMT) in diverse areas including electrical power grids, communications, transportation, and more. Chapters cover such topics as smart meters, off-grid electrification, standardized risk management procedures for mini-grids, and SMT in academics, among others.