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Towards a high-resolution offshore wind Atlas : the Portuguese case

2019Journal article Open access
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dc.contributor.authorCouto, António
dc.contributor.authorSilva, João M. Henriques da
dc.contributor.authorCosta, Paula Silva
dc.contributor.authorSantos, D.
dc.contributor.authorSimões, Teresa
dc.contributor.authorEstanqueiro, Ana
dc.date.accessioned2020-03-27T12:42:04Z
dc.date.available2020-03-27T12:42:04Z
dc.date.issued2019
dc.description.abstractABSTRACT: An accurate offshore wind resource assessment is a key tool for planning marine wind renewable exploitation. To achieve this goal, without resort to an extensive and costly network of anemometric stations or buoys, it becomes necessary to use the so-called atmospheric mesoscale models. This work presents a high spatial resolution (1x1 km) offshore wind resource Atlas for Portugal and the model calibration steps. During the calibration steps, the most adequate: i) atmospheric parameterizations - physics options, ii) initial and boundary conditions (IBC) meteorological datasets, and iii) data assimilation scheme were achieved through sensitivity tests using the common statistical metrics and hourly simulated/observational data. Results show that the most significant improvements are associated with the IBC dataset and the data assimilation scheme used. Thus, the results show that the assimilation procedures coupled with the new ERA-5 reanalysis dataset reduce significantly the errors of the wind speed and direction, especially the normalized mean square error. This reduction, depending on the different calibration setup, can be above 50%. The new Atlas confirms the previous indicators, Portugal presents a high wind power potential, especially for deep offshore regions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCouto, A... [et.al.] - Towards a high-resolution offshore wind Atlas : the Portuguese case. In: Journal of Physics: Conference Series, Vol. 1356, article nº 012029pt_PT
dc.identifier.doi10.1088/1742-6596/1356/1/012029pt_PT
dc.identifier.issn1742-6588
dc.identifier.urihttp://hdl.handle.net/10400.9/3207
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIOP Publishingpt_PT
dc.relationNorsewind project - grant number: 219048pt_PT
dc.relationDEMOWFloat - grant number: 296050)pt_PT
dc.relationOffshorePlan Project - POSEUR - 01-1001-FC-000007pt_PT
dc.relationMETHODOLOGY FOR THE DYNAMIC LINE RATING ANALYSIS AND OPTIMAL MANAGEMENT OF POWER NETWORKS
dc.relation.publisherversionhttps://doi.org/10.1088/1742-6596/1356/1/012029pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRenewable energy sourcespt_PT
dc.subjectWind energypt_PT
dc.subjectOffshore wind atlaspt_PT
dc.subjectPortugalpt_PT
dc.titleTowards a high-resolution offshore wind Atlas : the Portuguese casept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMETHODOLOGY FOR THE DYNAMIC LINE RATING ANALYSIS AND OPTIMAL MANAGEMENT OF POWER NETWORKS
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-EEE%2F31711%2F2017/PT
oaire.citation.titleJournal of Physics: Conference Seriespt_PT
oaire.citation.volume1356pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameCouto
person.familyNameSimões
person.familyNameEstanqueiro
person.givenNameAntónio
person.givenNameTeresa
person.givenNameAna
person.identifier.ciencia-id2619-80A1-A8AC
person.identifier.ciencia-idF21A-5706-0C78
person.identifier.ciencia-id7F11-A24D-EE81
person.identifier.orcid0000-0002-7368-8817
person.identifier.orcid0000-0003-3325-4085
person.identifier.orcid0000-0002-0476-2526
person.identifier.ridH-7821-2018
person.identifier.ridJ-9752-2012
person.identifier.scopus-author-id34882158000
person.identifier.scopus-author-id19336967700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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