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Energy communities in the transition to a low-carbon future: A taxonomical approach and some policy dilemmas

In calls for transition to a society in which energy production is based on renewable sources, a fundamental role is increasingly assigned to so-called 'energy communities'. The term 'energy communities' is, however, used to denote a range of different circumstances thus risking overly simplifying the phenomenon. The intention of this article is to discuss what these communities really are or could be. The article is structured into five sections. The first section introduces the main topic. The second section clarifies the use of the term community, and propose an energy community taxonomy (we consider two pairs of options which generate a four-cell matrix: a first distinction can be made between "place-based" and "non-place-based" communities on the basis of a potential correspondence between the community and a specific area; a further difference is that between communities which take shape solely for energy purposes and those with a range of objectives including goals encompassing shared management of energy systems - in this sense, we can distinguish between "single-purpose" and "multi-purpose" communities). The third section considers certain examples which test and exemplify this taxonomy. The fourth section discusses the most significant features which have emerged and considers the main implications (e.g. policy implications). The fifth section concludes by encouraging further critical debate.
Energy communities; Energy market; Energy policies; Renewable energy., Carbon, Policy
Energy communities; Energy market; Energy policies; Renewable energy., Carbon, Policy
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).124 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 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
