Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb
Peer-to-peer (P2P) energy trading – where energy prosumers transact directly between each other – could help enable transition to a low-carbon energy system. If it is to be supported in policy and regulation, it is important to anticipate the distributional impacts (or how it might impact segments o...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | Cleaner and Responsible Consumption |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666784321000073 |
| _version_ | 1818740517578473472 |
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| author | Michael J. Fell |
| author_facet | Michael J. Fell |
| author_sort | Michael J. Fell |
| collection | DOAJ |
| description | Peer-to-peer (P2P) energy trading – where energy prosumers transact directly between each other – could help enable transition to a low-carbon energy system. If it is to be supported in policy and regulation, it is important to anticipate the distributional impacts (or how it might impact segments of society differently). However, real-world evidence on P2P energy trading is currently extremely limited. To address this challenge in the short- to medium-term, this study aimed to explore what might be learned from the extensive body of research on a comparable offering in the accommodation sector: Airbnb. A realist review approach was employed to maximise transferability of findings, focused on what mechanisms are thought to lead to what distributional outcomes, in what contexts. On the basis of the review, participation in P2P energy trading schemes would be expected to represent disproportionately those living in areas with network management challenges, who are younger and more highly educated. This is likely to be moderated by access to generation assets and the kinds of service it is possible to trade. The review also raised the prospect of discrimination on the basis of characteristics such as race and gender where there are high levels of individual choice over who to trade with. Recommendations include monitoring, incentivising diversity, anonymization, limiting some trading choices, and diversifying what can be traded. |
| first_indexed | 2024-12-18T01:41:59Z |
| format | Article |
| id | doaj.art-89fd4ed9a87f4f19aa8a85774d3434d6 |
| institution | Directory Open Access Journal |
| issn | 2666-7843 |
| language | English |
| last_indexed | 2024-12-18T01:41:59Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner and Responsible Consumption |
| spelling | doaj.art-89fd4ed9a87f4f19aa8a85774d3434d62022-12-21T21:25:17ZengElsevierCleaner and Responsible Consumption2666-78432021-06-012100013Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on AirbnbMichael J. Fell0UCL Energy Institute, University College London, Gower Street, London, UKPeer-to-peer (P2P) energy trading – where energy prosumers transact directly between each other – could help enable transition to a low-carbon energy system. If it is to be supported in policy and regulation, it is important to anticipate the distributional impacts (or how it might impact segments of society differently). However, real-world evidence on P2P energy trading is currently extremely limited. To address this challenge in the short- to medium-term, this study aimed to explore what might be learned from the extensive body of research on a comparable offering in the accommodation sector: Airbnb. A realist review approach was employed to maximise transferability of findings, focused on what mechanisms are thought to lead to what distributional outcomes, in what contexts. On the basis of the review, participation in P2P energy trading schemes would be expected to represent disproportionately those living in areas with network management challenges, who are younger and more highly educated. This is likely to be moderated by access to generation assets and the kinds of service it is possible to trade. The review also raised the prospect of discrimination on the basis of characteristics such as race and gender where there are high levels of individual choice over who to trade with. Recommendations include monitoring, incentivising diversity, anonymization, limiting some trading choices, and diversifying what can be traded.http://www.sciencedirect.com/science/article/pii/S2666784321000073Peer-to-peer energy tradingDistributional impactsRealist reviewAirbnbSharing economy |
| spellingShingle | Michael J. Fell Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb Cleaner and Responsible Consumption Peer-to-peer energy trading Distributional impacts Realist review Airbnb Sharing economy |
| title | Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb |
| title_full | Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb |
| title_fullStr | Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb |
| title_full_unstemmed | Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb |
| title_short | Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb |
| title_sort | anticipating distributional impacts of peer to peer energy trading inference from a realist review of evidence on airbnb |
| topic | Peer-to-peer energy trading Distributional impacts Realist review Airbnb Sharing economy |
| url | http://www.sciencedirect.com/science/article/pii/S2666784321000073 |
| work_keys_str_mv | AT michaeljfell anticipatingdistributionalimpactsofpeertopeerenergytradinginferencefromarealistreviewofevidenceonairbnb |