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dc.creatorVillalonga Palou, Joan Tomáses
dc.creatorSerrano González, Javieres
dc.creatorRiquelme Santos, Jesús Manueles
dc.date.accessioned2024-06-03T08:19:15Z
dc.date.available2024-06-03T08:19:15Z
dc.date.issued2024
dc.identifier.citationVillalonga Palou, J.T., Serrano González, J. y Riquelme Santos, J.M. (2024). Estimation of Energy Distribution Coefficients in Collective Self-Consumption Using Meta-Heuristic Optimization Techniques. Sustainability, 16 (7), 2741. https://doi.org/10.3390/ su16072741.
dc.identifier.issn2071-1050es
dc.identifier.urihttps://hdl.handle.net/11441/159582
dc.description© 2024 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 // (This article belongs to the Special Issue Energy Transition in the Urban Environment)es
dc.description.abstractThe expansion of collective self-consumption is set to be a fundamental pillar for the devel- opment of energy-positive communities. In Spain, the regulation establishes an allocation scheme of self-consumed and surplus energy among the participants, based on distribution coefficients. This implies that the members of the self-consumption community must decide (or otherwise are assigned by default, according to the criteria established in the regulation) the distribution coefficients assigned to each of the consumers for the allocation of the distribution of the energy generated by the self-consumption system, as well as for the allocation of the surpluses. In this paper, the behavior of several algorithms based on heuristic techniques will be analyzed, with the aim of achieving an adequate economic optimization focused on obtaining the distribution coefficients that maximize the net present value (NPV) of the collective installation (according to the annual savings from the imple- mentation of the self-consumption facility, compared to conventional consumption). The modeling of the problem is performed under fully realistic conditions, considering hourly consumption data, electricity prices for domestic consumers and irradiation and photovoltaic production. The results obtained show a clear improvement in the economic performance of the plant by optimizing the distribution coefficients, compared to the standard approach corresponding to the default coefficients established in the regulatory framework.es
dc.formatapplication/pdfes
dc.format.extent19 p.es
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofSustainability, 16 (7), 2741.
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCollective self-consumptiones
dc.subjectDistribution coefficientses
dc.subjectEnergy communityes
dc.subjectEnergy transitiones
dc.subjectResidential buildingses
dc.titleEstimation of Energy Distribution Coefficients in Collective Self-Consumption Using Meta-Heuristic Optimization Techniqueses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Eléctricaes
dc.relation.projectIDPID2021-127550OA-I00es
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/16/7/2741es
dc.identifier.doi10.3390/ su16072741es
dc.contributor.groupUniversidad de Sevilla. TEP-196: Sistemas de Energía Eléctricaes
dc.journaltitleSustainabilityes
dc.publication.volumen16es
dc.publication.issue7es
dc.publication.initialPage2741es
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes

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