SoK: How Blockchain and Tokenization Will Transform the Energy Sector

Olga Ilina, Ksenia Tagirova, Artem Barger, Vladimir Gorgadze

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Tokenization and blockchain technology might significantly improve the energy industry by making electricity production, transmission, and consumption more open, safe, and effective. Tokenization enables the establishment of digital assets that reflect ownership or access to energy resources and enables blockchain to trace the origin and flow of energy produced. By incorporating these elements, we can build a more distributed and egalitarian energy infrastructure and make it easier to use renewable energy. However, legal barriers, integration with current systems, and scalability remain obstacles to the widespread use of these technologies in the energy industry. Therefore, there is a need for more study and development before the energy industry can ultimately reap the benefits of blockchain and tokenization. Accordingly, in this work, we suggest a systematization of knowledge to capture recent development and summarize research in the blockchain domain and its application to the energy sector.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350346473
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023 - Berlin, Germany
Duration: 23 Jul 202325 Jul 2023

Publication series

Name2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023

Conference

Conference2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023
Country/TerritoryGermany
CityBerlin
Period23/07/2325/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Blockchain
  • DLT
  • Energy
  • Tokenization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Information Systems

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