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dc.contributor.authorHoz Casas, Jordi de la
dc.contributor.authorAlonso Travesset, Alexandre
dc.contributor.authorCoronas Herrero, Sergio
dc.contributor.authorMartín Cañadas, María Elena
dc.contributor.authorMatas Alcalá, José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Elèctrica
dc.date.accessioned2021-03-04T13:43:17Z
dc.date.available2021-03-04T13:43:17Z
dc.date.issued2020-06-01
dc.identifier.citationDe La Hoz, J. [et al.]. Impact of different regulatory structures on the management of energy communities. "Energies", 1 Juny 2020, vol. 13, núm. 11, p. 2892:1-2892:26.
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/2117/341011
dc.description.abstractThe following paper aims to prove the importance of embedding the regulatory framework when analyzing the distributed generation activity of an energy community. At present, most of the scientific literature has focused on distributed energy, and energy communities address the issue of regulatory frameworks qualitatively. In this paper, the most representative regulatory frameworks devoted to the promotion of energy communities were analyzed and synthesized, namely, feed-in tariffs, net metering, and the self-consumption scheme. As a result, an algebraic model able to represent the essence of the regulatory structures related to those remuneration mechanisms was obtained. Next, this model was embedded into a physical model, based on real data, previously created. The resulting Mixed Integer Linear Program (MILP) was used to identify the implications of these frameworks. The results demonstrate the impact of regulatory schemes on energy management and economic results of an energy community. Indeed, profitability changes drastically depending on which remuneration scheme is applied to an energy community.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshMicrogrids (Xarxes elèctriques intel·ligents)
dc.subject.lcshEnergy conservation
dc.subject.lcshRenewable energy sources
dc.subject.lcshMathematical optimization
dc.subject.otherEnergy communities
dc.subject.otherRegulatory framework
dc.subject.otherMathematical optimization
dc.subject.otherDistributed generation
dc.subject.otherRenewable energy
dc.subject.otherMicrogrids
dc.subject.otherEnergy management
dc.titleImpact of different regulatory structures on the management of energy communities
dc.typeArticle
dc.subject.lemacMicroxarxes (Xarxes elèctriques intel·ligents)
dc.subject.lemacEnergia -- Estalvi
dc.subject.lemacEnergies renovables
dc.subject.lemacOptimització matemàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. SEPIC - Sistemes Electrònics de Potència i de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. EPIC - Energy Processing and Integrated Circuits
dc.identifier.doi10.3390/en13112892
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/13/11/2892
dc.rights.accessOpen Access
local.identifier.drac28894617
dc.description.versionPostprint (published version)
local.citation.authorDe La Hoz, J.; Alonso, A.; Coronas, S.; Martín, H.; Matas, J.
local.citation.publicationNameEnergies
local.citation.volume13
local.citation.number11
local.citation.startingPage2892:1
local.citation.endingPage2892:26


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain