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Demand-Side Peer-to-Peer Energy Trading

Author : Vahid Vahidinasab

Publisher : Springer Nature

Page : 222 pages

File Size : 20,73 MB

Release : 2023-08-01

Category : Business & Economics

ISBN : 3031352335

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Book Description

​Demand-Side Peer-to-Peer Energy Trading provides a comprehensive study of the latest developments in technology, protocols, implementation, and application of peer-to-peer and transactive energy concepts in energy systems and their role in worldwide energy evolution and decarbonization efforts. It presents practical aspects and approaches with evidence from applications to real-world energy systems through in-depth technical discussions, use cases, and examples. This multidisciplinary reference is suitable for researchers and industry stakeholders who focus on the field of energy systems and energy economics, as well as researchers and developers from different branches of engineering, energy, computer sciences, data, economic, and operation research fields.





Risk-Based Energy Management

Author : Sayyad Nojavan

Publisher : Academic Press

Page : 295 pages

File Size : 29,5 MB

Release : 2019-07-20

Category : Technology & Engineering

ISBN : 0128174927

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Book Description

Risk-Based Energy Management: DC, AC and Hybrid AC-DC Microgrids defines the problems and challenges of DC, AC and hybrid AC-DC microgrids and considers the right tactics and risk-based scheduling to tackle them. The book looks at the intermittent nature of renewable generation, demand and market price with the risk to DC, AC and hybrid AC-DC microgrids, which makes it relevant for anyone in renewable energy demand and supply. As utilization of distributed energy resources and the intermittent nature of renewable generations, demand and market price can put the operation of DC, AC and hybrid AC-DC microgrids at risk, this book presents a timely resource. - Discusses both the challenges and solutions surrounding DC, AC and hybrid AC-DC microgrids - Proposes robust scheduling of DC, AC and hybrid AC-DC microgrids under uncertain environments - Includes modeling upstream grid prices, renewable resources and intermittent load in the decision-making process of DC, AC and hybrid AC-DC microgrids



Smart Electricity Distribution Networks

Author : Chengshan Wang

Publisher : CRC Press

Page : 381 pages

File Size : 36,33 MB

Release : 2017-05-25

Category : Technology & Engineering

ISBN : 1315355930

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Book Description

Smart distribution networks are one of the key research topics of countries looking to modernise electric power networks. Smart Electricity Distributions Networks aims to provide a basic discussion of the smart distribution concept and new technologies related to it, including distributed energy resources (DERs), demand side integration, microgrids, CELL and virtual power plants. With writing from leading contributors in the field of smart distribution networks, this volume discusses different concepts within the field as well as the best methods to analyse smart distribution systems to provide a cohesive overview of issues relating to Smart Grid and related technologies. This book will be valuable to those with an interest in understanding the technologies and performance of smart distribution networks as well as engaging with the wider debate over the future Smart Grid.





Blockchain and Artificial Intelligence Technologies for Smart Energy Systems

Author : Hongjian Sun

Publisher : CRC Press

Page : 386 pages

File Size : 48,21 MB

Release : 2023-10-04

Category : Computers

ISBN : 1000965546

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Book Description

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis. At the same time, we are witnessing the sharp growth of energy data and a revolution of advanced technologies, with artificial intelligence (AI) and Blockchain emerging as two of the most transformative technologies of our time. The convergence of these two technologies has the potential to create a paradigm shift in the energy sector, enabling the development of smart energy systems that are more resilient, efficient, and sustainable. This book situates itself at the forefront of this paradigm shift, providing a timely and comprehensive guide to AI and Blockchain technologies in the energy system. Moving from an introduction to the basic concepts of smart energy systems, this book proceeds to examine the key challenges facing the energy system, and how AI and Blockchain can be used to address these challenges. Research examples are presented to showcase the role and impact of these new technologies, while the latest developed testbeds are summarised and explained to help researchers accelerate their development of these technologies. This book is an indispensable guide to the current changes in the energy system, being of particular use to industry professionals, from researchers to management, looking to stay ahead of technological developments.



Battery-Integrated Residential Energy Systems

Author : Asmae Berrada

Publisher : CRC Press

Page : 281 pages

File Size : 30,85 MB

Release : 2024-11-15

Category : Technology & Engineering

ISBN : 1040148123

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Book Description

Battery-Integrated Residential Energy Systems introduces battery energy storage systems (BESS) of residential systems and offers insight into modeling, managing, and controlling them. Apart from survey of different BESS applications, it explains electrochemical simulation models of BESS. It includes performance parameters, economic analysis, sizing, energy management, control, charging and discharging patterns, coordination of the storage system with other devices in the home, and policy-related matters. Features: Covers different aspects of smart residential energy systems with a battery as a key element Discusses increasing energy efficiency in residential units by optimal control and management of BESS Explores information related to the policy regarding the use of BESS Includes chapters on energy trading for implementation of optimal energy management of BESS Focuses on a variety of aspects of battery operation and control This book is aimed at senior undergraduate, graduate students, and researchers in Electrical Engineering, Battery Systems, Energy Engineering, and Sustainable and Renewable Technologies.



Local Electricity Markets

Author : Tiago Pinto

Publisher : Academic Press

Page : 474 pages

File Size : 24,87 MB

Release : 2021-07-03

Category : Business & Economics

ISBN : 0128226668

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Book Description

Local Electricity Markets introduces the fundamental characteristics, needs, and constraints shaping the design and implementation of local electricity markets. It addresses current proposed local market models and lessons from their limited practical implementation. The work discusses relevant decision and informatics tools considered important in the implementation of local electricity markets. It also includes a review on management and trading platforms, including commercially available tools. Aspects of local electricity market infrastructure are identified and discussed, including physical and software infrastructure. It discusses the current regulatory frameworks available for local electricity market development internationally. The work concludes with a discussion of barriers and opportunities for local electricity markets in the future. - Delineates key components shaping the design and implementation of local electricity market structure - Provides a coherent view on the enabling infrastructures and technologies that underpin local market expansion - Explores the current regulatory environment for local electricity markets drawn from a global panel of contributors - Exposes future paths toward widespread implementation of local electricity markets using an empirical review of barriers and opportunities - Reviews relevant local electricity market case studies, pilots and demonstrators already deployed and under implementation



Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems

Author : Yuekuan Zhou

Publisher : Elsevier

Page : 302 pages

File Size : 39,91 MB

Release : 2023-11-21

Category : Computers

ISBN : 0443131783

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Book Description

Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use. With a strong focus on AI and machine learning approaches, the book comprehensively discusses each part of the energy life cycle, considering source, grid, demand, storage, and usage. Opening with an introduction to smart buildings and intelligent transportation systems, the book presents the fundamentals of AI and its application in renewable energy sources, alongside the latest technological advances. Other topics presented include building occupants' behavior and vehicle driving schedule with demand prediction and analysis, hybrid energy storages in buildings with AI, smart grid with energy digitalization, and prosumer-based P2P energy trading. The book concludes with discussions on blockchain technologies, IoT in smart grid operation, and the application of big data and cloud computing in integrated smart building-transportation energy systems. A smart and flexible energy system is essential for reaching Net Zero whilst keeping energy bills affordable. This title provides critical information to students, researchers and engineers wanting to understand, design, and implement flexible energy systems to meet the rising demand in electricity. - Introduces spatiotemporal energy sharing with new energy vehicles and human-machine interactions - Discusses the potential for electrification and hydrogenation in integrated building-transportation systems for sustainable development - Highlights key topics related to traditional energy consumers, including peer-to-peer energy trading and cost-benefit business models



IoT for Smart Grids

Author : Kostas Siozios

Publisher : Springer

Page : 289 pages

File Size : 40,74 MB

Release : 2018-11-24

Category : Technology & Engineering

ISBN : 3030036405

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Book Description

This book explains the fundamentals of control theory for Internet of Things (IoT) systems and smart grids and its applications. It discusses the challenges imposed by large-scale systems, and describes the current and future trends and challenges in decision-making for IoT in detail, showing the ongoing industrial and academic research in the field of smart grid domain applications. It presents step-by-step design guidelines for the modeling, design, customisation and calibration of IoT systems applied to smart grids, in which the challenges increase with each system’s increasing complexity. It also provides solutions and detailed examples to demonstrate how to use the techniques to overcome these challenges, as well as other problems related to decision-making for successful implementation. Further, it anaylses the features of decision-making, such as low-complexity and fault-tolerance, and uses open-source and publicly available software tools to show readers how they can design, implement and customise their own system control instantiations. This book is a valuable resource for power engineers and researchers, as it addresses the analysis and design of flexible decision-making mechanisms for smart grids. It is also of interest to students on courses related to control of large-scale systems, since it covers the use of state-of-the-art technology with examples and solutions in every chapter. And last but not least, it offers practical advice for professionals working with smart grids.