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HORIZON-CL5-2022-D3-01 – Grant agreement No 101096490
01/01/2023 – 31/07/2026
Web Oficial and Cordis
Joaquim Meléndez
+(34) 650507142
Currently, the energy sector is responsible for 72% of the EU’s GHG emissions, this situation calls for a rapid and effective decarbonisation of all sectors. Reaching the sustainability targets negotiated under the Green Deal requires facing the green transition towards clean energy by increasing the renewable share and efficient use of energy. Despite the impacts on the energy production, responsibility falls on citizens and governors. A more active role and direct participation of consumers (prosumers) in the value energy chain is needed; and this requires a collaborative and aggregated actuation. Moreover, the EU need to reduce its dependence of external energy resources (nowadays aggravated by geopolitical conflicts in UKR) implies a significant transformation to manage the flexibility required by an of increasing renewable sources.
RESCHOOL aims to lever energy communities as formal way to aggregate active consumers and prosumers and empower them as relevant energy stakeholders. RESCHOOL aims to facilitate their interaction with the grid as flexibility providers and their participation in electricity markets. This will only be possible when enough citizens are engaged on these communities and enough flexibility can be aggregated. This requires efforts on training and engagement campaigns supported by effective results demonstrated in the real life. RESCHOOL will provide solutions to reinforce these engagement efforts based on co-creation/co-design participative strategies as well as tools designed to support energy and flexibility management and interaction of both based on collaborative and gamification strategies. These tools and methods will be validated in 4 different pilots across EU, including ES, NL, SE, and GR. Results from studies, developments and validations will serve to elaborate realistic guidelines and business models to support the effective creation, growing and development of energy communities in the EU, including policy recommendations.
Funded by the European Union (grant agreement N°101096490). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
Increasing hosting capacity of low-voltage distribution network using smart charging based on local and dynamic capacity limits.
Cañigueral, M., Wolbertus, R., & Meléndez, J. (2025). Increasing hosting capacity of low-voltage distribution network using smart charging based on local and dynamic capacity limits. Sustainable Energy Grids and Networks, 101626. https://doi.org/10.1016/j.segan.2025.101626
Enabling high penetration of electric vehicles using smart charging based on local and dynamic capacity limits.
Cañigueral, M., Meléndez, J., & Wolbertus, R. (2024). Enabling high penetration of electric vehicles using smart charging based on local and dynamic capacity limits. SSRN. | DOI: https://doi.org/10.2139/ssrn.4756944
Transició energètica: electrificació de la demanda i gestió de la flexibilitat.
Meléndez i Frigola, J. (2024). Transició energètica: electrificació de la demanda i gestió de la flexibilitat. Revista de tecnologia, 2024, núm. 12, p. 56-68. DOI 10.2436/20.2004.01.53
Optimal scheduler for energy consumption reduction in multi-vector energy management systems: A case study at the Port of Borg.
Massana, J., Burgas, L., Colomer, J., Sumper, A., & Herraiz, S. (2024). Optimal scheduler for energy consumption reduction in multi-vector energy management systems: A case study at the Port of Borg. Heliyon, 10(10), e31419–e31419. https://doi.org/10.1016/j.heliyon.2024.e31419
Assessment of electric vehicle charging hub based on stochastic models of user profiles
Cañigueral, M; Burgas, L; Massana, J; Meléndez, J.; & Colomer, J. (2023). Assessment of electric vehicle charging hub based on stochastic models of user profiles. Expert Systems with Applications. 227. 120318. JCR: Q1 | Citations: 5 WoS | DOI: 10.1016/j.eswa.2023.120318

