2026-04-29T01:05:51Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/77752023-08-28T10:48:29Zcom_10259_3830com_10259_5086com_10259_2604col_10259_3832
Gonzalez-Asenjo, David
607681ed-1ced-4176-9e88-d221591d4bf8
500
Izquierdo Millán, Luis Rodrigo
299
600
0000-0003-1057-4465
Sedano, Javier
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600
2023-07-31T12:20:42Z
2023-07-31T12:20:42Z
2023
2013-8423
http://hdl.handle.net/10259/7775
10.3926/jiem.5514
2013-0953
Purpose: 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.
This 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).
application/pdf
eng
OmniaScience
Journal of Industrial Engineering and Management. 2023, V. 16, n. 2, p. 398-424.
https://doi.org/10.3926/jiem.5514
info:eu-repo/grantAgreement/CDTI//CER-20211022/ES/Consorcio cErvera para el Liderazgo de la I+D+I en Inteligencia Artificial Aplicada/CEL.IA/
info:eu-repo/grantAgreement/CDTI//MIG-20211008/ES/INVESTIGACIÓN EN TECNOLOGÍAS INMERSIVAS Y SENSORIALES PARA ENTORNOS COLABORATIVOS INDUSTRIALES DE INSPECCIÓN ROBÓTICA/INMERBOT/
info:eu-repo/grantAgreement/CDTI//MIG-20211033/ES/Investigación experimental en tecnologías innovadoras para una comunidad energética eficiente y sostenible/BrainEn/
info:eu-repo/grantAgreement/Junta de Castilla y León//CCTT3%2F20%2FBU%2F0002/
info:eu-repo/grantAgreement/MINECO//MIA.2021.M01.0004/ES/INTELIGENCIA ARTIFICIAL APLICADA A LA CADENA DE VALOR DE LA PRODUCCIÓN AGRARIA 2050/AGRARIA/
info: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/
info: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/
Atribución-NoComercial 4.0 Internacional
http://creativecommons.org/licenses/by-nc/4.0/
info:eu-repo/semantics/openAccess
Energy community
Prosumer
Allocation
Costs
Fairness
Efficiency
Ingeniería
Informática
Engineering
Computer science
A simple and efficient method to allocate costs and benefits in energy communities
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Journal of Industrial Engineering and Management
16
2
398
THUMBNAIL
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oai:riubu.ubu.es:10259/7775
2023-08-28 12:48:29.875
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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