Mostrar el registro sencillo del ítem

dc.contributor.authorGonzalez-Asenjo, David
dc.contributor.authorIzquierdo Millán, Luis Rodrigo 
dc.contributor.authorSedano, Javier
dc.date.accessioned2023-07-31T12:20:42Z
dc.date.available2023-07-31T12:20:42Z
dc.date.issued2023
dc.identifier.issn2013-8423
dc.identifier.urihttp://hdl.handle.net/10259/7775
dc.description.abstractPurpose: Define a simple and efficient method to allocate costs and benefits in energy communities, and characterize some of its key properties. Design/methodology/approach: The approach is theoretical. We define an algorithm to allocate costs and benefits in energy communities, and derive some of its formal properties using mathematical reasoning. We also compare the proposed algorithm with several alternatives. Findings: The proposed algorithm is simple and it ensures that the resulting distribution of costs and benefits is (i) beneficial for every member of the community, (ii) efficient, (iii) fair (in a formally defined sense), (iv) smooth (small changes in the consumption or in the generation of energy cannot lead to big changes in the allocation of costs and benefits), and (v) environmentally friendly in the sense that the individual allocated cost is a strictly increasing function of individual consumption. Research limitations/implications: The properties of the proposed algorithm are satisfied for a specific type of energy community that is defined in the paper. Practical implications: The algorithm is easy to implement in any energy community. Social implications: The algorithm is highly relevant for any community of prosumers who are willing to exchange energy internally. It guarantees a number of desirable properties that are formally defined in the paper. Originality/value: We prove that a simple algorithm to allocate costs and benefits in energy communities guarantees the fulfilment of several desirable properties.en
dc.description.sponsorshipThis research has been founded by the CDTI (Centro para el Desarrollo Tecnológico Industrial) under projects CER-20211022, MIG-20211008 and MIG-20211033, by the ICE (Junta de Castilla y León) under projects CCTT3/20/BU/0002, by the Artificial Intelligence R&D Missions Program of the State Secretariat for Digitalization and Artificial Intelligence (SEDIA) of the Ministry of Economic Affairs and Digital Transformation (MIA.2021.M01.0004) corresponding to the funds of the Recovery, Resilience and Transformation Plan, by the Spanish State Research Agency (PID2020-118906GB-I00/AEI/ 10.13039/501100011033), and by the Ministry of Science and Innovation (TED2021-131388B-I00).en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherOmniaSciencees
dc.relation.ispartofJournal of Industrial Engineering and Management. 2023, V. 16, n. 2, p. 398-424.es
dc.rightsAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectEnergy communityen
dc.subjectProsumeren
dc.subjectAllocationen
dc.subjectCostsen
dc.subjectFairnessen
dc.subjectEfficiencyen
dc.subject.otherIngenieríaes
dc.subject.otherEngineeringen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleA simple and efficient method to allocate costs and benefits in energy communitiesen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3926/jiem.5514es
dc.identifier.doi10.3926/jiem.5514
dc.relation.projectIDinfo:eu-repo/grantAgreement/CDTI//CER-20211022/ES/Consorcio cErvera para el Liderazgo de la I+D+I en Inteligencia Artificial Aplicada/CEL.IA/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/CDTI//MIG-20211008/ES/INVESTIGACIÓN EN TECNOLOGÍAS INMERSIVAS Y SENSORIALES PARA ENTORNOS COLABORATIVOS INDUSTRIALES DE INSPECCIÓN ROBÓTICA/INMERBOT/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/CDTI//MIG-20211033/ES/Investigación experimental en tecnologías innovadoras para una comunidad energética eficiente y sostenible/BrainEn/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Castilla y León//CCTT3%2F20%2FBU%2F0002/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MIA.2021.M01.0004/ES/INTELIGENCIA ARTIFICIAL APLICADA A LA CADENA DE VALOR DE LA PRODUCCIÓN AGRARIA 2050/AGRARIA/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118906GB-I00/ES/INTERACCIONES DINAMICAS DISTRIBUIDAS: PROTOCOLOS BEST EXPERIENCED PAYOFF Y SEPARACION ENDOGENA/es
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-131388B-I00/ES/Servicios ecosistémicos del pastoreo tradicional: biodiversidad, huella de carbono y sostenibilidad socio-económica/ECOSPAS/es
dc.identifier.essn2013-0953
dc.journal.titleJournal of Industrial Engineering and Managementen
dc.volume.number16es
dc.issue.number2es
dc.page.initial398es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


Ficheros en este ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem