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dc.contributor.authorSanz Rodrigo, Javier
dc.contributor.authorSantos, Pedro
dc.contributor.authorChávez Arroyo, R
dc.contributor.authorAvila, Matias
dc.contributor.authorCavar, Dalibor
dc.contributor.authorLehmkuhl Barba, Oriol
dc.contributor.authorOwen, Herbert
dc.contributor.authorLi, R
dc.contributor.authorTromeur, Eric
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2021-09-01T16:26:28Z
dc.date.available2021-09-01T16:26:28Z
dc.date.issued2021
dc.identifier.citationSanz Rodrigo, J. [et al.]. The ALEX17 diurnal cycles in complex terrain benchmark. "Journal of Physics: Conference Series", 2021,
dc.identifier.issn1742-6588
dc.identifier.issn1742-6596
dc.identifier.urihttp://hdl.handle.net/2117/350619
dc.description.abstractThe NEWA ALEX17 experiment was conducted with the objective of characterizing the wind conditions upstream of the Alaiz Test Site for the validation of flow models. From the intensive operational period, a case study has been selected for a Wakebench benchmark consisting of four consecutive days with relatively persistent winds from the North. The validation is centered around a 118-m mast at the Alaiz site and six additional masts located along the valley and at the lee side of a ridge delimiting a 8-km long area of interest. The benchmark is a follow-up of the GABLS3 diurnal cycle benchmark in flat terrain to test mesoscale-to-microscale transient and steady-state modeling methodologies in the assessment of stability-dependent bin-averaged wind conditions. Meso-micro methodologies reduce the wind speed mean bias from 32%, at 3-km mesoscale, to ±5%. Beyond mean bias mitigation, these initial results demonstrate the added value of meso-micro coupling at reproducing non conventional wind conditions at the test site like high-shear low-level jets in stable conditions and negative wind shear in unstable conditions. The benchmark also discusses the challenges of each meso-micro methodology going forward.
dc.description.sponsorshipThis work was carried out under the umbrella of the International Energy Agency IEA-Wind TCP Task 31 Wakebench, with the support from: MARINE2 (EU grant agreement number 731084) UPWARDS (EU grant agreement number 763990), EoCoE-II (EU grant agreements number 824158 and 828947) and the Mexican Department of Energy, CONACYT-SENER Hidrocarburos grant agreement number B-S-69926
dc.format.extent13 p.
dc.language.isoeng
dc.publisherIOP Publishing
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshWind power
dc.subject.lcshComputational fluid dynamics
dc.subject.otherWind conditions
dc.subject.otherFlow models
dc.subject.otherMeso-micro methodologies
dc.titleThe ALEX17 diurnal cycles in complex terrain benchmark
dc.typeArticle
dc.subject.lemacEnergia eòlica
dc.identifier.doi10.1088/1742-6596/1934/1/012002
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://iopscience.iop.org/article/10.1088/1742-6596/1934/1/012002
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/824158/EU/Energy Oriented Center of Excellence : toward exascale for energy/EoCoE-II
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/828947/EU/Supercomputing and Energy for Mexico/ENERXICO
local.citation.publicationNameJournal of Physics: Conference Series


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