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dc.creatorD’Ambrosio, D.es_ES
dc.creatorSchoukens, Johanes_ES
dc.creatorTroyer, T. Dees_ES
dc.creatorZivanovic, Miroslaves_ES
dc.creatorRunacres, Markes_ES
dc.date.accessioned2021-06-25T12:34:23Z
dc.date.available2021-06-25T12:34:23Z
dc.date.issued2020
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/2454/40055
dc.descriptionTrabajo presentado a Science of Making Torque from Wind 2020, TORQUE 2020es_ES
dc.description.abstractSynthetic wind-speed generators can provide a detailed characterisation of the wind variability at different time scales. A keen interest in the availability of synthetic wind speeds has recently risen in wind power modelling applications. In particular, a proper simulation of the diurnal and annual variability of the wind speed is sought that can lead to a more efficient grid integration of this renewable source. This paper proposes a statistical model for generating synthetic wind speeds consistent with both the probability density function and the spectral density function of a measured wind-speed dataset and that simulates accurately its average diurnal variation. To test the proposed methodology, multiple synthetic time series are generated using three long-term wind-speed time series recorded at a meteorological site in the Netherlands. The accuracy in terms of the statistical descriptors of the generated time series and their average diurnal variation is assessed with respect to the target data. We show that the average diurnal cycles present in all the three measured time series are always reproduced accurately, and that the statistical descriptors of the target dataset are constantly matched with high accuracy. Possible advantages of the present approach in terms of power system modelling are discussed.en
dc.format.extent11 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherIOP Publishingen
dc.relation.ispartofJournal of Physics: Conference Series, 1618 (2020) 062019en
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)en
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectSynthetic wind-speed generatorsen
dc.subjectDiurnal cyclesen
dc.subjectVariabilityen
dc.titleSynthetic wind speed generation for the simulation of realistic diurnal cyclesen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko, Elektroniko eta Telekomunikazio Sailaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1088/1742-6596/1618/6/062019
dc.relation.publisherversionhttps://doi.org/10.1088/1742-6596/1618/6/062019
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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Creative Commons Attribution 3.0 Unported (CC BY 3.0)
Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported (CC BY 3.0)