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dc.creatorGarcía Martín, Javieres
dc.creatorMaestre Torreblanca, José Maríaes
dc.creatorCamacho, Eduardo F.es
dc.date.accessioned2021-05-12T13:26:17Z
dc.date.available2021-05-12T13:26:17Z
dc.date.issued2021
dc.identifier.citationGarcía Martín, J., Maestre Torreblanca, J.M. y Fernández Camacho, E. (2021). Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network. Solar Energy, 15, 735-744.
dc.identifier.issn0038-092Xes
dc.identifier.urihttps://hdl.handle.net/11441/108944
dc.description.abstractAn algorithm for mapping Direct Normal Irradiance (DNI) in thermosolar power plants using a Mobile Robotic Sensor Network (RSN) is presented. The algorithm selects measurement spots and allocates the RSN accordingly to carry out the dynamic estimation of DNI. A generic thermosolar power plant with a fleet of vehicles is used as a simulated case study to assess the performance of the algorithm. The results show that the proposed method allows us to obtain a spatial estimation of the DNI that could improve the performance of the plant, and that outperforms estimations based on a single pyrheliometer.es
dc.description.sponsorshipUnión Europea 789051es
dc.formatapplication/pdfes
dc.format.extent10 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofSolar Energy, 15, 735-744.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMulti-Robot Systemses
dc.subjectTask planninges
dc.subjectSensor networkses
dc.titleSpatial irradiance estimation in a thermosolar power plant by a mobile robot sensor networkes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería de Sistemas y Automáticaes
dc.relation.projectID789051es
dc.date.embargoEndDate2023-05-15
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0038092X21002267#!es
dc.identifier.doi10.1016/j.solener.2021.03.038es
dc.journaltitleSolar Energyes
dc.publication.volumen15es
dc.publication.initialPage735es
dc.publication.endPage744es

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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