Coupling of Mesoscale Weather Research and Forecasting Model to a High Fidelity Large Eddy Simulation

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dc.contributor.ORCID0000-0002-0990-8133 (Iungo, GV)
dc.contributor.ORCID0000-0002-9809-7191 (Leonardi, S)
dc.contributor.authorSantoni-Ortiz, Christian
dc.contributor.authorGarcia-Cartagena, Edgardo Javier
dc.contributor.authorCiri, Umberto
dc.contributor.authorIungo, Giacomo V.
dc.contributor.authorLeonardi, Stefano
dc.contributor.utdAuthorSantoni-Ortiz, Christian
dc.contributor.utdAuthorGarcia-Cartagena, Edgardo Javier
dc.contributor.utdAuthorCiri, Umberto
dc.contributor.utdAuthorIungo, Giacomo V.
dc.contributor.utdAuthorLeonardi, Stefano
dc.date.accessioned2019-07-12T20:33:33Z
dc.date.available2019-07-12T20:33:33Z
dc.date.created2018-06
dc.description.abstractNumerical simulations of the flow in a wind farm in north Texas have been performed with WRF (Weather Research and Forecasting model) and our in-house LES code. Five nested domains are solved with WRF to model the meso-scale variability while retaining a resolution of 50 meters in the wind farm region. The computational domain of our in-house LES code is nested into the inner most domain of the WRF simulation from where we get the inlet boundary conditions. The outlet boundary conditions are radiative and at this stage the coupling between the two codes is one-way. The turbines in WRF are mimicked using a modified Fitch approach, while in our in-house LES we have used a rotating actuator disk combined with immersed boundaries for tower and nacelle. Numerical results agree well with meteorological data from the met tower. The power production obtained numerically on each turbine compares well with SCADA data with an index of agreement ranging between 80% to 90%. The power production from the numerical results of our in-house LES code is slightly closer to SCADA data than that of WRF.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.description.sponsorshipNational Science Foundation grant no.1243482 (the WINDINSPIRE project).
dc.identifier.bibliographicCitationSantoni, C., E. J. Garcia-Cartagena, U. Ciri, G. V. Iungo, et al. 2018. "Coupling of mesoscale weather research and forecasting model to a high fidelity large eddy simulation." Journal of Physics: Conference Series 1037, doi:10.1088/1742-6596/1037/6/062010
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/10735.1/6698
dc.identifier.volume1037
dc.language.isoen
dc.publisherInstitute of Physics Publishing
dc.relation.isPartOfJournal of Physics: Conference Series 7th, 2018
dc.relation.urihttp://dx.doi.org/10.1088/1742-6596/1037/6/062010
dc.rightsCC BY 3.0 (Attribution)
dc.rights©2018 The Authors. Published under licence by IOP Publishing Ltd.
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectActuators
dc.subjectBoundary value problems
dc.subjectComputational fluid dynamics
dc.subjectElectric utilities
dc.subjectMeteorology
dc.subjectTorque
dc.subjectWind turbines
dc.subjectWind power
dc.subjectElectric power production
dc.subjectWeather forecasting--Mathematical models
dc.titleCoupling of Mesoscale Weather Research and Forecasting Model to a High Fidelity Large Eddy Simulation
dc.type.genrearticle

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Leonardi, Stefano
Iungo, Giacomo V.