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dc.contributor.authorUlazia, Alain
dc.contributor.authorSáenz, Jon
dc.contributor.authorIbarra-Berastegi, Gabriel
dc.contributor.authorGonzález-Rojí, Santos J.
dc.contributor.authorCarreno-Madinabeitia, Sheila
dc.date.accessioned2019-09-16T10:21:01Z
dc.date.available2019-09-16T10:21:01Z
dc.date.issued2019-11-15
dc.identifier.citationUlazia, Alain, Jon Sáenz, Gabriel Ibarra-Berastegi, Santos J. González-Rojí, and Sheila Carreno-Madinabeitia. “Global Estimations of Wind Energy Potential Considering Seasonal Air Density Changes.” Energy 187 (November 2019): 115938. doi:10.1016/j.energy.2019.115938.en
dc.identifier.issn0360-5442en
dc.identifier.urihttp://hdl.handle.net/11556/759
dc.description.abstractThe literature typically considers constant annual average air density when computing the wind energy potential of a given location. In this work, the recent reanalysis ERA5 is used to obtain global seasonal estimates of wind energy production that include seasonally varying air density. Thus, errors due to the use of a constant air density are quantified. First, seasonal air density changes are studied at the global scale. Then, wind power density errors due to seasonal air density changes are computed. Finally, winter and summer energy production errors due to neglecting the changes in air density are computed by implementing the power curve of the National Renewable Energy Laboratorys 5 MW turbine. Results show relevant deviations for three variables (air density, wind power density, and energy production), mainly in the middle-high latitudes (Hudson Bay, Siberia, Patagonia, Australia, etc.). Locations with variations from −6% to 6% are identified from summers to winters in the Northern Hemisphere. Additionally, simulations with the aeroelastic code FAST for the studied turbine show that instantaneous power production can be affected by greater than 20% below the rated wind speed if a day with realistically high or low air density values is compared for the same turbulent wind speed.en
dc.description.sponsorshipThis work was funded by the Spanish Government's MINECO project CGL2016-76561-R (AEI/FEDER EU) and the University of the Basque Country (UPV/EHU-funded project GIU17/02). The ECMWFERA-5 data used in this study were obtained from the Copernicus Climate Data Store. All the calculations were carried out in the framework of R Core Team (2016). More can be learnt about R, alanguage and an environment for statistical computing, at the website of the R Foundation for Statistical Computing, Vienna,Austria (https://www.R-project.org/).en
dc.language.isoengen
dc.publisherElsevier Ltden
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleGlobal estimations of wind energy potential considering seasonal air density changesen
dc.typearticleen
dc.identifier.doi10.1016/j.energy.2019.115938en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsWind energy potentialen
dc.subject.keywordsAir densityen
dc.subject.keywordsERA5en
dc.subject.keywordsFluid mechanicsen
dc.identifier.essn1873-6785en
dc.journal.titleEnergyen
dc.page.initial115938en
dc.volume.number187en


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