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Load Shifting and Demand-Side Management in Renewable Energy Communities: Simulations of Different Technological Configurations

Author

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  • Antonino Rollo

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

  • Paolo Serafini

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

  • Federico Aleotti

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

  • Debora Cilio

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

  • Enrico Morandini

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

  • Diana Moneta

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

  • Marco Rossi

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

  • Matteo Zulianello

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

  • Valerio Angelucci

    (Ricerca sul Sistema Energetico (RSE s.p.a.), Via Rubattino 54, 20134 Milano, Italy)

Abstract

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.

Suggested Citation

  • Antonino Rollo & Paolo Serafini & Federico Aleotti & Debora Cilio & Enrico Morandini & Diana Moneta & Marco Rossi & Matteo Zulianello & Valerio Angelucci, 2025. "Load Shifting and Demand-Side Management in Renewable Energy Communities: Simulations of Different Technological Configurations," Energies, MDPI, vol. 18(4), pages 1-34, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:872-:d:1589614
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    References listed on IDEAS

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    Cited by:

    1. Aleksandar Dimovski & Corrado Maria Caminiti & Giuliano Rancilio & Mattia Ricci & Biagio Di Pietra & Marco Merlo, 2025. "Assessment of Italian Distribution Grids and Implications for Energy Communities’ Integration: A Focus on Reverse Power Flow and Energy Balance," Energies, MDPI, vol. 18(5), pages 1-20, March.

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