Emerging Transactive Energy Technology for Future Modern Energy Networks
- 1st Edition - November 17, 2022
- Authors: Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 1 3 3 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 8 3 7 - 6
Emerging Transactive Energy Technology for the Future Modern Energy Networks looks at the importance of transactive energy technology in modern multi-carrier energy networks,… Read more
Emerging Transactive Energy Technology for the Future Modern Energy Networks looks at the importance of transactive energy technology in modern multi-carrier energy networks, exploring modeling and optimization and analyzing the necessity of transactive energy technology for future modern energy networks. Along with energy technology, the book covers applications of transactive energy technology, strategies in optimal operation of the hybrid energy networks, reliable and sustainable development of the modern energy networks, and design, integration and operation of a full level of renewable energy resources.
This reference is intended for energy, power, mechanical and environmental engineers, researchers and postgraduate students who work in various types of energy systems.
- Discusses the application of transactive energy technology in modernizing future energy networks
- Investigates the optimal integration of 100% renewable energy resources in modern hybrid energy networks
- Provides a holistic, transactive energy-based framework for creating interoperability between multi-carrier energy networks
Researchers and system engineers focusing on advanced methods for deployment of state of art technologies in the modern structure of multi-carrier energy networks, Academia and students
1. Overview of the transactive energy technology and grid modernization
2. Analysis of the basic requirements for switching from current energy grids to future modern multi-carrier energy networks
3. Energy trading solution: The capable leverage for a renewable-dominant future
4. The role of peer-to-peer energy trading strategy in the future modern hybrid energy networks
5. Modernized P2P energy trading market model and platform for net-zero carbon energy networks
6. New emerging transactive energy technology in modernizing future hybrid networks
7 Applications of the transactive energy technology in the multi-carrier energy network modernization
8 Optimizing and modeling the transactive energy technology in modern multi-carrier energy networks
9 A case study in the hybrid energy network with 100% renewable energy resources and future directions
10An application of GAMS in simulating of the hybrid energy networks optimization problems
- Edition: 1
- Published: November 17, 2022
- Language: English
MD
Mohammadreza Daneshvar
Mohammadreza Daneshvar, PhD, is an Assistant Professor, founder and head of the Laboratory of Multi-Carrier Energy Networks Modernization at the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Prior to that, he was a postdoctoral research fellow in the field of modern multi-energy networks at the Smart Energy Systems Lab of the University of Tabriz for two years. He obtained his MSc and PhD degrees in Electrical Power Engineering from the University of Tabriz, all with honors. He has (co)authored more than 50 technical journal and conference articles, 10 books, 28 book chapters, and 10 national and international research projects in the field. Dr. Daneshvar is a member of the Editorial Board of the Energy and Built Environment Journal and the Early Career Editorial Board of the Sustainable Cities and Society Journal. He also served as the guest editor for the Sustainable Cities and Society, and Sustainable Energy Technologies and Assessments journals. Moreover, he serves as an active reviewer with more than 120 top journals, 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, Integrated Multi-Energy Systems, Grid Modernization, Electrical Energy Storage Systems, Sustainable Cities and Society, Microgrids, Energy Hubs, Machine Learning and Deep Learning, Digital Twin, and Optimization Techniques and AI.
Affiliations and expertise
Assistant Professor, Laboratory of Multi-Carrier Energy Networks Modernization, Faculty of Electrical and Computer Engineering, University of Tabriz, IranBM
Behnam Mohammadi-Ivatloo
Dr. Behnam Mohammadi-Ivatloo, PhD, is a Professor of sector coupling in energy systems at LUT University, Lappeenranta, Finland. He has a mix of high-level experience in research, teaching, administration and voluntary jobs at the national and international levels. He was PI or CO-PI in more than 20 externally funded research projects including grants from EU Horiozn and Business Finland. He is a Senior Member of IEEE since 2017 and a Member of the Governing Board of Iran Energy Association since 2013, where he was elected as President in 2019. He is Editor of IEEE Transactions on Power Systems and IEEE Transactions of Transportation Electrifications. His main areas of interest are integrated energy systems, sector coupling, renewable energies, energy storage systems, microgrids, and smart grids.
Affiliations and expertise
Professor, School of Energy Systems, LUT University, Lappeenranta, FinlandKZ
Kazem Zare
Dr. 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 a 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
Professor, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranRead Emerging Transactive Energy Technology for Future Modern Energy Networks on ScienceDirect