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dc.contributor.authorGöcmen, Tuhfe
dc.contributor.authorKölle, Konstanze
dc.contributor.authorAndersen, Søren Juhl
dc.contributor.authorEguinoa, Irene
dc.contributor.authorDuc, Thomas
dc.contributor.authorCampagnolo, Filippo
dc.contributor.authorIribas-Latour, Mikel
dc.contributor.authorAstrain, David
dc.contributor.authorBottasso, Carlo
dc.contributor.authorMeyers, Johan
dc.contributor.authorvan Wingerden, Jan Willem
dc.contributor.authorGiebel, Gregor
dc.date.accessioned2020-11-12T14:00:12Z
dc.date.available2020-11-12T14:00:12Z
dc.date.created2020-10-26T20:43:38Z
dc.date.issued2020
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/11250/2687649
dc.description.abstractCareful validation of the modelling and control actions is of vital importance to build confidence in the value of coordinated wind farm control (WFC). The efficiency of flow models applied to WFC should be evaluated to provide reliable assessment of the performance of WFC. In order to achieve that, FarmConners launches a common benchmark for code comparison to demonstrate the potential benefits of WFC, such as increased power production and mitigation of loads. The benchmark builds on available data sets from previous and ongoing campaigns: synthetic data from high-fidelity simulations, measurements from wind tunnel experiments, and field data from a real wind farm. The participating WFC models are first to be calibrated or trained using normal operation periods. For the blind test, both the axial induction and wake steering control approaches are included in the dataset and to be evaluated through the designed test cases. Three main test cases are specified, addressing the impact of WFC on single full wake, single partial wake, and multiple wake. The WFC model outcomes will be compared during the blind test phase, through power gain and wake loss reduction as well as alleviation of wake-added turbulence intensity and structural loads. The probabilistic validation will be based on the median and quartiles of the observations and WFC model predictions. Every benchmark participant will be involved in the final publication, where the comparison of different tools will be performed using the defined test cases. Instructions on how to participate are also provided on farmconners.readthedocs.io.en_US
dc.language.isoengen_US
dc.publisherIoPen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleLaunch of the FarmConners Wind Farm Control benchmark for code comparisonen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe Authorsen_US
dc.source.volume1618en_US
dc.source.journalJournal of Physics: Conference Seriesen_US
dc.identifier.doi10.1088/1742-6596/1618/2/022040
dc.identifier.cristin1842452
dc.relation.projectEC/H2020/727477en_US
dc.relation.projectEC/H2020/727680en_US
dc.relation.projectEC/H2020/857844en_US
dc.source.articlenumber022040en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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