Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/43627
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorMateo Domingo, Carloses-ES
dc.contributor.authorFrías Marín, Pabloes-ES
dc.contributor.authorTapia Ahumada, Karenes-ES
dc.date.accessioned2019-11-27T04:21:01Z-
dc.date.available2019-11-27T04:21:01Z-
dc.date.issued2020-02-01es_ES
dc.identifier.issn0360-5442es_ES
dc.identifier.urihttps:doi.org10.1016j.energy.2019.116523es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractThis paper combines three models:, an energy simulator (eQuest), the Distributed Energy Resources Customer Adoption Model (DER-CAM), and a Reference Network Model (RNM), to quantify the impact of natural gas-fueled distributed generation (NGDG) in electricity distribution networks. First, eQuest is used to determine the energy profile of each type of building. Then, DER-CAM determines the optimal planning and operation of distributed energy resources. Finally, the hourly profiles of all buildings are processed by RNM to assess the impact of NGDG integration in electricity distribution networks. The reason behind this multi-level approach is that prosumers manage distributed energy resources to maximize their benefits, and later these decisions have an impact upon the electricity distribution networks. We assess this impact. The RNM evaluates power flows to size the network components, and determines the new components required, quantifying the corresponding investments in terms of low and medium voltage network and medium to low voltage transformers. We use this methodology to analyze the sensitivity of network reinforcements to NGDG penetration. Six European networks for urban and semi-urban distribution areas in Germany, Italy, and France have been studied. The results show clear differences in the expected impact in each of these countries. They depend greatly on the level of NGDG penetration and selected network, with network costs ranging up to 150€ and savings of 900€ per building. Energy losses decrease for low NGDG penetration levels and can double at 100 NGDG penetration levels.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: Energy, Periodo: 1, Volumen: online, Número: , Página inicial: 116523-1, Página final: 116523-10es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleA comprehensive techno-economic assessment of the impact of natural gas-fueled distributed generation in European electricity distribution networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsNatural gas, distributed, generation, electricity, distribution, network, planning, reference network model, impact, assessment, model.en-GB
dc.identifier.doi10.1016/j.energy.2019.116523es_ES
Aparece en las colecciones: Artículos

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
IIT-19-115A.pdf1,68 MBAdobe PDFVisualizar/Abrir     Request a copy


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.