Published February 7, 2024 | Version 2
Dataset Open

Energy community AEV charging station and household data considering PV generation and battery integration

Authors/Creators

  • 1. Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD)

Contributors

  • 1. Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD)
  • 2. Univ. Lille, Arts et Metiers Institute of Technology, Centrale Lille
  • 3. BISITE Research Centre, University of Salamanca (US)

Description

Forest sur-Maque energy community data for 24 households with PV generation capabilities and batteries, and a charging station:

  • 15-minute data (96 periods)
  • EDFs flat, bi-hourly tariffs and feed-in tariff
  • Households with a 6kVA installed capacity
  • Load data considering a total of 9 appliances for each house
  • 3kWp PV installations in each household
  • Four different battery models distributed across the 24 houses
  • Slow-charging autonomous electric vehicles parking lot with a total of 5 charging points with 7.4 kW of maximum charging and discharging
  • MV/LV transformer and network cable data and coordinates

 

Other

This work was funded by the Interreg Atlantic Area Programme through the European Regional Development Fund (EAPA_0019/2022 - SAtComm). The authors also acknowledge the support provided by the Thematic Network 723RT0150 ‘‘Red para la integración a gran escala de energías renovables en sistemas eléctricos (RIBIERSE-CYTED)’’ financed by the call for Thematic Networks of the CYTED (Ibero American Program of Science and Technology for Development).

Files

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Additional details

Funding

Fundação para a Ciência e Tecnologia
José Almeida Ph.D. Grant 2022.09590.BD.
Fundação para a Ciência e Tecnologia
João Soares CEECIND/00420/2022
Fundação para a Ciência e Tecnologia
This work has received funding from FEDER Funds through COMPETE program and from National Funds through (FCT) UIDB/00760/2020

Dates

Submitted
2024-01-29