
Critical effects of global climate change urgently call for socio-technical transitions towards more efficient, flexible and cleaner energy systems. However, adequate regulatory frameworks and policy incentives are lagging behind. This paper focuses on the governance dynamics shaping technology-enabled transitions towards distributed energy systems. In particular, the expansion of variable renewable energy sources (VRES) within community-based energy (CBE) organizations is studied as a key element strengthening the institutional resilience of energy systems. The paper reviews: (1) the governance arrangements shaping distributed energy transitions, (2) the emergence of blockchain-based solutions in the energy sector (focusing on P2P energy trading platforms) and, (3) the role of the blockchain in overcoming the governance limitations of distributed energy transitions. The study addresses emerging but interrelated niches of academic study from an integral conceptualization and synthesis of the literature. Rather than extensively covering these fields of research, the purpose is to connect these areas of academic knowledge and expand the theoretical understanding stemming from this convergence. The findings show the potential of blockchain-based governance to overcome institutional barriers related to trust-building and enhance coordination for community-based energy transitions.
| selected citations These citations are derived from selected sources. 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). | 40 | |
| 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). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
