IoT Enabled Multi-Energy Systems

IoT Enabled Multi-Energy Systems

From Isolated Energy Grids to Modern Interconnected Networks

1st Edition - January 17, 2023

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  • Editors: Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, Amjad Anvari-Moghaddam
  • Paperback ISBN: 9780323954211

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Description

IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. It discusses a panorama of modelling, planning and optimization considerations for IoT technologies and their applications across grid modernization and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process, and environmental engineers and highly relevant for researchers and postgraduate students who work on energy systems.Sections address core theoretical underpinnings, significant challenges and opportunities, and supporting IoT-based developed expert systems, working to identify how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. It also provides proven methodologies, establishes worked solutions, and develops a holistic framework for proposing IoT-based solutions for intelligently modernizing future multi-vector energy grids. Motivations and obstacles of deployment of advanced IoT technologies are discussed in detail.Contributors address artificial intelligence technology and its applications in developing IoT-based technologies; cloud-based intelligent energy management schemes; data science and multi-energy big data analysis; machine learning and deep learning techniques in multi-energy systems; cyber-physical multi-energy systems; blockchain technology; reliable and sustainable development of the modern energy networks; design, integration, and operation of a high/full level of renewable energy resources; optimal energy management systems; optimization of hybrid energy systems’ utilization; grid-edge technologies’ and hybrid energy components.

Key Features

  • Reviews core applications of IoT technologies in grid modernization of multi-energy networks
  • Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks
  • Analyzes the reliable integration, sustainable operation, and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources

Readership

Early career researchers at 1st year PhD level and above developing IoT-based solutions, senior division undergraduate and graduate students studying multi-vector energy grids as parts of energy and environmental sciences courses, Multi-vector energy, environmental and systems engineers, computer and data science engineers, energy economists, mechanical engineers, chemical and process engineers, artificial intelligence developers, policy makers, and energy service providers that concentrate on developing, modelling, simulating, designing, evaluating, and optimizing multi-energy systems for future modern multi-vector energy networks

Table of Contents

  • 1. Preface
    2. Overview of Modern Interconnected Energy Networks (MIENs)
    3. IoT Development Path for Future MIENs
    4. IoT Developments for Renewable Penetrated MIENs
    5. IoT-Based Multi-Energy Management of Clean MIENs
    6. Multi-Energy Economic Dispatch in a Cloud-Edge Computing Environment
    7. IoT-Enabled Energy Trading Technologies for cleaner multi-energy mix (CMEM)
    8. Artificial Intelligence-Enabled IoT Technologies in Revolution of Future Modern Energy Grids
    9. Data Science Leverage for IoT Energy Systems
    10. Big Data Analysis of IoT for CMEM
    11. Machine Learning and Deep Leverage for IoT Energy Systems
    12. IoT-Enabled Cooperative Cyber-Physical Systems for CMEM
    13. Edge of Things (EoT)-Enabled IoT technologies for CMEM
    14. Blockchain-Based IoT Systems for CMEM

Product details

  • No. of pages: 280
  • Language: English
  • Copyright: © Academic Press 2023
  • Published: January 17, 2023
  • Imprint: Academic Press
  • Paperback ISBN: 9780323954211

About the Editors

Mohammadreza Daneshvar

Mohammadreza Daneshvar is a Research Associate with the Smart Energy Systems Lab in the Department of Electrical and Computer Engineering at the University of Tabriz. He is the editor of more than 40 journal and conference papers in the field of multi-energy systems, grid modernization, transactive energy, and optimizing the multi-carrier energy grids. He is the author and editor of three books with Springer, Elsevier, and Wiley-IEEE. He serves as an active reviewer with IEEE, Elsevier, Springer, Wiley, Taylor & Francis, and IOS Press, and was ranked among the top 1% of reviewers in Engineering and Cross-Field based on Publons global reviewer database. His research interests include smart grids, transactive energy, energy management, renewable energy sources, multi-carrier energy systems, grid modernization, electrical energy storage systems, microgrids, energy hubs, machine learning and deep learning, blockchain technology, and optimization techniques.

Affiliations and Expertise

Research Assistant, Smart Energy Systems Lab in Electrical Power Systems Engineering at the University of Tabriz, Iran

Behnam Mohammadi-Ivatloo

Behnam Mohammadi-Ivatloo, Ph.D., SMIEEE, is currently full professor of electrical and computer engineering and a Senior Research Fellow at Aalborg University, Denmark. He is formerly a research associate at the Institute for Sustainable Energy, Environment and Economy at the University of Calgary. He obtained MSc and Ph.D. degrees in electrical engineering from the Sharif University of Technology. He is the author and editor of more than nineteen books that are published or in the publication process in the Springer, Elsevier, and Wiley-IEEE publishers. His main research interests are renewable energies, microgrid systems, and smart grids.

Affiliations and Expertise

Assistant Professor of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Kazem Zare

Kazem Zare PhD, SMIEEE received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include distribution networks operation and planning, power system economics, microgrid and energy management.

Affiliations and Expertise

Associate Professor, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Amjad Anvari-Moghaddam

Amjad Anvari-Moghaddam PhD, SMIEEE, received the Ph.D. degree (Hons.) in Power Systems Engineering from the University of Tehran, in 2015. He is currently an Associate Professor and the vice leader of PESYS and iGRIDS research groups at the Department of Energy (AAU Energy), Aalborg University, where he is also the coordinator for the Integrated Energy Systems Laboratory (IES-Lab). He has published more than 200 technical articles, 4 books, and 8 book chapters. His research interests include planning, control, and operation management of microgrids, renewable/hybrid power systems, and integrated energy systems with appropriate market mechanisms. He was a recipient of the 2020 DUO-India Fellowship Award, the DANIDA Research Fellowship grant from the Ministry of Foreign Affairs of Denmark, in 2018, the IEEE-CS Outstanding Leadership Award 2018 (Halifax, Nova Scotia, Canada), and the 2017 IEEE-CS Outstanding Service Award (Exeter-UK).

Affiliations and Expertise

Postdoctoral Researcher in Energy Technology, Aalborg University, Aalborg, Denmark

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