Optimal Investment and Sharing Decisions in Renewable Energy Communities with Multiple Investing Members
The Renewable Energy Communities (RECs) and self-consumption frameworks defined in Directive (EU) 2023/2413 and Directive (EU) 2024/1711 are currently being integrated into national regulations across EU member states, adapting legislation to incorporate these new entities. These regulations establish key principles for individual and collective self-consumption, outlining operational rules such as proximity constraints, electricity sharing mechanisms, surplus electricity management, grid tariffs, and various organizational aspects, including asset sizing, licensing, metering, data exchange, and role definitions. This study introduces a model tailored to optimize investment and energy-sharing decisions within RECs, enabling multiple members to invest in solar photovoltaic (PV) and wind generation assets. The model determines the optimal generation capacity each REC member should install for each technology and calculates the energy shared between members in each period, considering site-specific constraints on renewable deployment. A case study with a four-member REC is used to showcase the model’s functionality, with simulation results underscoring the benefits of CSC over ISC.
Authors
- João Lagarto
- Inês Carvalho (ORCID: https://orcid.org/0000-0003-1372-1299)
- Filipe Barata (ORCID: https://orcid.org/0000-0003-1019-3646)
- Jorge Sousa (ORCID: https://orcid.org/0000-0002-1110-6586)
- José Villar (ORCID: https://orcid.org/0000-0001-6954-9833)
- Carla Viveiros (ORCID: https://orcid.org/0000-0001-5096-1633)
Institutions
- Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT)
- University of Lisbon (PT)
- Universidade Politécnica de Lisboa (PT)
- INESC TEC (PT)
Publication Details
- Journal
- Energies
- Published
- 2025-04-09
- DOI
- https://doi.org/10.3390/en18081920
- Citations
- 2
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 1.46