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Renewable energy communities optimal design supported by an optimization model for investment in PV/wind capacity and renewable electricity sharing

Author

Listed:
  • Sousa, Jorge
  • Lagarto, João
  • Camus, Cristina
  • Viveiros, Carla
  • Barata, Filipe
  • Silva, Pedro
  • Alegria, Ricardo
  • Paraíba, Orlando

Abstract

The EU Renewable Energy Directive 2018/2001 (RED II) has unlocked the participation of local citizens and authorities in collective renewable energy projects through the concept of Renewable Energy Communities (REC). In this context, the present study proposes an optimization model to support REC's investment decisions on the renewable generation portfolio and operational electricity sharing management.

Suggested Citation

  • Sousa, Jorge & Lagarto, João & Camus, Cristina & Viveiros, Carla & Barata, Filipe & Silva, Pedro & Alegria, Ricardo & Paraíba, Orlando, 2023. "Renewable energy communities optimal design supported by an optimization model for investment in PV/wind capacity and renewable electricity sharing," Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223018583
    DOI: 10.1016/j.energy.2023.128464
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    Cited by:

    1. Roldán-Blay, Carlos & Escrivá-Escrivá, Guillermo & Roldán-Porta, Carlos & Dasí-Crespo, Daniel, 2023. "Optimal sizing and design of renewable power plants in rural microgrids using multi-objective particle swarm optimization and branch and bound methods," Energy, Elsevier, vol. 284(C).

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