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dc.contributor.authorAvila, Matias
dc.contributor.authorGargallo-Peiró, Abel
dc.contributor.authorFolch, Arnau
dc.contributor.otherBarcelona Supercomputing Center
dc.identifier.citationAvila, M.; Gargallo-Peiró, A.; Folch, A. A CFD framework for offshore and onshore wind farm simulation. "Journal of Physics: Conference Series", 2017, vol. 854, núm. 1.
dc.description.abstractWe present a wind simulation framework for offshore and onshore wind farms. The simulation framework involves an automatic hybrid high-quality mesh generation process, a pre-processing to impose initial and boundary conditions, and a solver for the Reynolds Averaged Navier-Stokes (RANS) equations with two different turbulence models, a modified standard k-epsilon model and a realizable k-epsilon model in which we included the Coriolis effects. Wind turbines are modeled as actuator discs. The wind farm simulation framework has been implemented in Alya, an in-house High Performance Computing (HPC) multi-physics finite element parallel solver. An application example is shown for an onshore wind farm composed of 165 turbines.
dc.description.sponsorshipThis work has been supported by the EU H2020 projects New European Wind Atlas ERA-NET PLUS (NEWA), High Performance Computing for Energy (HPC4E, grant agreement 689772), and the Energy oriented Centre of Excellence (EoCoE, grant agreement 676629). We also thank two anonymous reviewers for their constructive comments on the first version of the manuscript.
dc.format.extent10 p.
dc.publisherIOP Publishing
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshWind energy
dc.subject.lcshForecasting--Computer simulation
dc.subject.otherReynolds Averaged Navier-Stokes (RANS)
dc.subject.otherHigh Performance Computing (HPC)
dc.subject.otherWind simulation framework
dc.titleA CFD framework for offshore and onshore wind farm simulation
dc.subject.lemacSimulació per ordinador
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/689772/EU/HPC for Energy/HPC4E
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/676629/EU/Energy oriented Centre of Excellence for computer applications/EoCoE
local.citation.publicationNameJournal of Physics: Conference Series

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