FAST.Farm load validation for single wake situations at alpha ventus

dc.contributor.authorKretschmer, Matthias
dc.contributor.authorJonkman, Jason
dc.contributor.authorPettas, Vasilis
dc.contributor.authorCheng, Po Wen
dc.date.accessioned2021-10-07T14:51:45Z
dc.date.available2021-10-07T14:51:45Z
dc.date.issued2021de
dc.description.abstractThe main objective of the presented work is the validation of the simulation tool FAST.Farm for the calculation of power and structural loads in single wake situations; the basis for the validation is the measurement database of the operating offshore wind farm alpha ventus. The approach is described in detail and covers the calibration of the aeroelastic turbine model, transfer of environmental conditions to simulations, and comparison between simulations and adequately filtered measurements. It is shown that FAST.Farm accurately predicts power and structural load distributions over wind direction with discrepancies of less than 10 % for most of the cases compared to the measurements. Additionally, the frequency response of the structure is investigated, and it is calculated by FAST.Farm in good agreement with the measurements. In general, the calculation of fatigue loads is improved with a wake-added turbulence model added to FAST.Farm in the course of this study.de
dc.identifier.issn2366-7451
dc.identifier.issn2366-7443
dc.identifier.other1772788732
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-117291de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/11729
dc.identifier.urihttp://dx.doi.org/10.18419/opus-11712
dc.language.isoende
dc.relation.uridoi:10.5194/wes-6-1247-2021de
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.ddc620de
dc.titleFAST.Farm load validation for single wake situations at alpha ventusde
dc.typearticlede
ubs.fakultaetLuft- und Raumfahrttechnik und Geodäsiede
ubs.fakultaetFakultätsübergreifend / Sonstige Einrichtungde
ubs.institutInstitut für Flugzeugbaude
ubs.institutFakultätsübergreifend / Sonstige Einrichtungde
ubs.publikation.seiten1247-1262de
ubs.publikation.sourceWind energy science 6 (2021), pp. 1247-1262de
ubs.publikation.typZeitschriftenartikelde

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