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dc.contributor.authorLópez Ropero, Iraide
dc.contributor.authorGómez Cornejo, Julen
dc.contributor.authorAranzabal Santamaria, Itxaso
dc.contributor.authorGarcía, Luis Emilio
dc.contributor.authorMazón Sainz-Maza, Angel Javier ORCID
dc.date.accessioned2023-06-20T14:55:09Z
dc.date.available2023-06-20T14:55:09Z
dc.date.issued2023-05-09
dc.identifier.citationEnergies 16(10) : (2023) // Article ID 4000es_ES
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10810/61495
dc.description.abstractEnergy communities (ECs) can become a potential alternative to promote the fight against climate change. Technological progress and price reductions in recent years have made renewable energy-generation systems increasingly affordable and have generated economic benefits by reducing the value of electricity bills for community members, as well as reducing the growing environmental impact. In this context, the authors have taken Tolosa as a case study and conducted a technical and economic analysis of different possible structures of ECs (physical, virtual, with or without storage, participants with different types of consumption, etc.) by comparing them with each other. The generation capacity of the community and the optimal energy-management algorithms have been illustrated, from which the economic benefits for each member are extracted. A dynamic distribution factor is established as the basis of the algorithms, making the benefits fairer. The results obtained from this work, in addition to illustrating the economic benefits that each type of participant can receive, help to define the most appropriate community structure for each participant while highlighting the social and climate benefits that ECs can provide.es_ES
dc.description.sponsorshipThis work is financially supported by the Basque Government under Grant IT1647-22 (ELEKTRIKER research group), and by the Ministerio de Ciencia e Innovación, the Agencia Estatal de Investigación. and the European Union under Grant TED2021-129930A-I00 funded by MCIN/AEI/10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/TED2021-129930A-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectenergy communityes_ES
dc.subjectsolar energyes_ES
dc.subjectbattery storagees_ES
dc.subjectenergy-management strategyes_ES
dc.subjectenergy aggregatores_ES
dc.titlePhotovoltaic Local Energy Communities—Design of New Energy Exchange Modalities—Case Study: Tolosaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-05-26T13:21:03Z
dc.rights.holder© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/16/10/4000es_ES
dc.identifier.doi10.3390/en16104000
dc.departamentoesIngeniería eléctrica
dc.departamentoeuIngeniaritza elektrikoa


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).