Leveraging blockchain for energy transition in urban contexts
Author(s)
Type
Journal Article
Abstract
This article explores the potential of leveraging blockchain technology to facilitate energy transition within urban settings. It explores three innovative market models—peer-to-peer, community self-consumption, and transactive energy—which hold promise for a shift in (local) electricity trading due to decentralized and digital transactional characteristics. Utilizing a scenario building framework, this research scrutinizes these market models, their corresponding trading mechanisms, and the advantages and disadvantages of implementing blockchain technology. The results provide valuable insights into investment necessities, market democratization, service quality and reliability, urban governance, civic engagement and citizenry welfare. Consequently, this study offers a novel conceptualization of market models, laying the groundwork for a systematic understanding of blockchain’s potentiality in ecosystem governance in the context of energy transition.
Date Issued
2023-12
Date Acceptance
2023-07-06
Citation
Big Data & Society, 2023, 10 (2)
ISSN
2053-9517
Publisher
SAGE Publishing
Journal / Book Title
Big Data & Society
Volume
10
Issue
2
Copyright Statement
© The Author(s) 2023
Article reuse guidelines:
sagepub.com/journals-permissions. Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons AttributionNonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and
distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.
sagepub.com/en-us/nam/open-access-at-sage).
Article reuse guidelines:
sagepub.com/journals-permissions. Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons AttributionNonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and
distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.
sagepub.com/en-us/nam/open-access-at-sage).
License URL
Identifier
https://journals.sagepub.com/doi/10.1177/20539517231205503
Publication Status
Published
Date Publish Online
2023-11-28