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Blockchain for future renewable energy
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. Department of Computer Science, Blekinge Institute of Technology, Karlskrona, Sweden. (Distribuerade realtidssystem (DRTS), Distributed Real-Time Systems)ORCID iD: 0000-0002-8927-0968
University of Skövde, School of Informatics.
2022 (English)In: Decentralized Frameworks for Future Power Systems: Operation, Planning and Control Perspectives / [ed] Mohsen Parsa Moghaddam; Reza Zamani; Hassan Haes Alhelou; Pierluigi Siano, Academic Press, 2022, p. 129-146Chapter in book (Refereed)
Abstract [en]

To better optimize and control the renewable energy system and its integration with traditional grid systems and other energy systems, corresponding technologies are needed to meet its growing practical application requirements: decentralized management and control, support for decentralized decision-making, fine-grained and timely data sharing, maintain data and business privacy, support fast and low-cost electricity market transactions, maintain the security and reliability of system operation data, and prevent malicious cyberattacks. Blockchain is based on core technologies such as distributed ledgers, asymmetric encryption, consensus mechanisms, and smart contracts and has some excellent features such as decentralization, openness, independence, security, and anonymity. These characteristics seem to meet the technical requirements of future renewable energy systems partially. This chapter will systematically review how blockchain technology can potentially solve the challenges with decentralized solutions for future renewable energy systems and show a guideline to implement blockchain-based corresponding applications for future renewable energy. 

Place, publisher, year, edition, pages
Academic Press, 2022. p. 129-146
Keywords [en]
Blockchain, Decentralized framework, Decentralized management, Renewable energy
National Category
Energy Systems Computer Systems
Research subject
Distributed Real-Time Systems
Identifiers
URN: urn:nbn:se:his:diva-21974DOI: 10.1016/B978-0-323-91698-1.00011-XScopus ID: 2-s2.0-85139682133ISBN: 978-0-323-91698-1 (print)ISBN: 978-0-323-98562-8 (print)OAI: oai:DiVA.org:his-21974DiVA, id: diva2:1704959
Note

Imprint: Academic Press

© 2022 Elsevier Inc. All rights reserved.

Available from: 2022-10-20 Created: 2022-10-20 Last updated: 2023-01-16Bibliographically approved

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Ding, Jianguo

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