Peer-to-Peer Energy Markets : Understanding the Values of Collective and Community Trading
- Submitting institution
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University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 243119884
- Type
- E - Conference contribution
- DOI
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10.1145/3313831.3376135
- Title of conference / published proceedings
- CHI'20 : Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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E - Bristol Interaction Group
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work presents peer-to-peer energy (p2p) trading as an instance of sharing economy. Through a qualitative study of 45 participants, the paper analyses the requirements and expectations the UK households with respect to p2p energy trading platforms. The analysis results in a set of new design characteristics for such platforms. Some characteristics discussed in this paper have informed implementation of a p2p energy trading platform which is currently trialled at EDF Energy [Dr. Maria Brucoli’s team] in their London Brixton pilot study. This paper received an Honourable Mention Award at CHI 2020.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -