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Innovative power-sharing model for buildings and energy communities

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  • Di Lorenzo, Gianfranco
  • Rotondo, Sara
  • Araneo, Rodolfo
  • Petrone, Giovanni
  • Martirano, Luigi

Abstract

The paper proposes an innovative power-sharing model, i.e., a power-system architecture for aggregation of users able to share the power produced by common generators and energy services. The model is suitable for both multi-tenant buildings and groups of multiple buildings and it is applicable for both existing and new buildings. It is scalable for larger systems and suitable for an easier integration with storage systems. The novel principle of the model is that the energy produced by common generators can be shared among the end-users in a unidirectional way, so that each user remains passive towards the distributor, except a single active user that assumes the role of balance node. This key feature allows for easily implementing the model in all the residential and tertiary multi-units buildings in full compliance with national regulations, with the adoption of power sharing contracts as well. This paper discusses the feasibility of the model through a dynamic Matlab/Simulink model, which is used to show its effectiveness in several case studies. The significance of this work consists of approaching the energy sharing in buildings with a completely new strategy, based on an innovative system architecture that can be effectively implemented.

Suggested Citation

  • Di Lorenzo, Gianfranco & Rotondo, Sara & Araneo, Rodolfo & Petrone, Giovanni & Martirano, Luigi, 2021. "Innovative power-sharing model for buildings and energy communities," Renewable Energy, Elsevier, vol. 172(C), pages 1087-1102.
  • Handle: RePEc:eee:renene:v:172:y:2021:i:c:p:1087-1102
    DOI: 10.1016/j.renene.2021.03.063
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    5. Negri, Simone & Giani, Federico & Blasuttigh, Nicola & Massi Pavan, Alessandro & Mellit, Adel & Tironi, Enrico, 2022. "Combined model predictive control and ANN-based forecasters for jointly acting renewable self-consumers: An environmental and economical evaluation," Renewable Energy, Elsevier, vol. 198(C), pages 440-454.
    6. Negri, Simone & Tironi, Enrico & Superti-Furga, Gabrio & Carminati, Marco, 2021. "VSC-based LVDC distribution network with DERs: Equivalent circuits for leakage and ground fault currents evaluation," Renewable Energy, Elsevier, vol. 177(C), pages 1133-1146.
    7. Simoiu, Mircea Stefan & Fagarasan, Ioana & Ploix, Stéphane & Calofir, Vasile, 2022. "Modeling the energy community members’ willingness to change their behaviour with multi-agent systems: A stochastic approach," Renewable Energy, Elsevier, vol. 194(C), pages 1233-1246.
    8. Maarja Meitern, 2022. "Does Access to Regulative Exemption Reduce Barriers for Energy Communities? A Dutch Case Study," Sustainability, MDPI, vol. 14(9), pages 1-13, May.
    9. Tariq, Rasikh & Torres-Aguilar, C.E. & Sheikh, Nadeem Ahmed & Ahmad, Tanveer & Xamán, J. & Bassam, A., 2022. "Data engineering for digital twining and optimization of naturally ventilated solar façade with phase changing material under global projection scenarios," Renewable Energy, Elsevier, vol. 187(C), pages 1184-1203.
    10. Tomin, Nikita & Shakirov, Vladislav & Kurbatsky, Victor & Muzychuk, Roman & Popova, Ekaterina & Sidorov, Denis & Kozlov, Alexandr & Yang, Dechang, 2022. "A multi-criteria approach to designing and managing a renewable energy community," Renewable Energy, Elsevier, vol. 199(C), pages 1153-1175.
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