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Energy Policy
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Constructing practices of engagement with users and communities: Comparing emergent state-led smart local energy systems

Authors: Iain Soutar; Patrick Devine-Wright; Melanie Rohse; Chad Walker; Luke Gooding; Hannah Devine-Wright; Imogen Kay;

Constructing practices of engagement with users and communities: Comparing emergent state-led smart local energy systems

Abstract

Energy transitions require engagement with users, local communities and wider publics in order to be fair, acceptable and, ultimately, successful. Here we focus on the development of decentralised energy systems instigated by central government. Smart Local Energy Systems (SLES), involving low carbon generation, demand sources and smart technologies in a geographically-bounded location, are important but unexplored contexts for public engagement. Drawing on 23 interviews with partner organisations in 12 UK SLES projects, we investigate the targets, methods and rationales of engagement. Partners engage a range of user and community groups around multiple energy system components using a variety of methods, directly and via intermediary organisations. Project size is not a major influence on breadth and intensity of engagement. Project partners rationalise practices with reference to characterisations of users and engagement, and practices are conditioned by a range of factors (e.g. technological boundaries, place, partners involved, and the wider organisational context within which SLES projects take place). We highlight a need for future SLES policy to emphasise engagement as a key facet, institute systematic social learning between SLES projects, and consider how to engage publics beyond the boundaries of individual projects.

Country
United Kingdom
Keywords

690, 360, Engagement, Electric networks, Political Science, Participation, Public, Decentralisation, 620, 004, Energy transitions, Policy

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
Green
hybrid