According to the early transposition of the EU directives by the Italian government, this paper presents some of the outcomes of the qualitative-led applied research titled Community Energy Map, aimed at identifying the main operational models and organisational frameworks put in place for the development of renewable energy communities (RECs). In this respect, the article discusses a threefold subdivision of organisational models to implement RECs: public lead, pluralist, and community energy builders’ model. Furthermore, the paper illustrates in detail three of the nine case studies dedicated to recently launched RECs, conducted through qualitative fieldworks, to investigate the social and local implications generated by these community-led initiatives. The article stresses the relevance of both the local scale and community-led initiatives in the pathway towards a fair and just energy transition, by discussing how RECs define new organisational models of distributed energy systems.

This research investigates the optimization potential of Renewable Energy Communities (RECs) through advanced demand-side management strategies. The study simulates a real distribution network and analyzes load profile optimization in a residential REC configuration, comparing two distinct approaches: Demand-Side Engagement (DSE) and Optimized Demand-Side Management (Opt-DSM). The methodology encompasses load-shifting strategies at the appliance level, progressing from spontaneous behavior patterns to algorithmic optimization. Starting from a baseline scenario of conventional consumption patterns, the research evaluates the effectiveness of both user-driven load shifting (DSE) and automated redistribution through genetic algorithms (Opt-DSM). The analysis framework addresses three key dimensions: economic efficiency through incentive optimization, social cohesion via collaborative engagement, and environmental sustainability through the optimal utilization of locally generated energy. Results demonstrate that enhanced generation-consumption synchronization through Opt-DSM yields superior outcomes for both distribution network performance and participant economics compared to DSE. However, successful implementation requires substantial technological infrastructure investment at individual and community levels, alongside significant modifications to established consumption patterns. This research contributes to the understanding of RECs as innovative socio-technical systems and provides figures to support the analysis related to the balance between technological optimization and user engagement in maximizing shared energy potential.