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http://dx.doi.org/10.18419/opus-9839
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DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Raach, Steffen | - |
dc.contributor.author | Schlipf, David | - |
dc.contributor.author | Cheng, Po Wen | - |
dc.date.accessioned | 2018-06-05T13:54:29Z | - |
dc.date.available | 2018-06-05T13:54:29Z | - |
dc.date.issued | 2017 | de |
dc.identifier.issn | 2366-7451 | - |
dc.identifier.issn | 2366-7443 | - |
dc.identifier.other | 506031012 | - |
dc.identifier.uri | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-98561 | de |
dc.identifier.uri | http://elib.uni-stuttgart.de/handle/11682/9856 | - |
dc.identifier.uri | http://dx.doi.org/10.18419/opus-9839 | - |
dc.description.abstract | This work presents two advancements towards closed-loop wake redirection of a wind turbine. First, a model-based wake-tracking approach is presented, which uses a nacelle-based lidar system facing downwind to obtain information about the wake. The method uses a reduced-order wake model to track the wake. The wake tracking is demonstrated with lidar measurement data from an offshore campaign and with simulated lidar data from a simulation with the Simulator fOr Wind Farm Applications (SOWFA). Second, a controller for closed-loop wake steering is presented. It uses the wake-tracking information to set the yaw actuator of the wind turbine to redirect the wake to a desired position. Altogether, the two approaches enable a closed-loop wake redirection. | en |
dc.language.iso | en | de |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/727477 | de |
dc.relation.uri | doi:10.5194/wes-2-257-2017 | de |
dc.rights | info:eu-repo/semantics/openAccess | de |
dc.subject.ddc | 620 | de |
dc.title | Lidar-based wake tracking for closed-loop wind farm control | en |
dc.type | article | de |
ubs.fakultaet | Luft- und Raumfahrttechnik und Geodäsie | de |
ubs.institut | Institut für Flugzeugbau | de |
ubs.publikation.seiten | 257-267 | de |
ubs.publikation.source | Wind energy science 2 (2017), pp. 257-267 | de |
ubs.publikation.typ | Zeitschriftenartikel | de |
Enthalten in den Sammlungen: | 06 Fakultät Luft- und Raumfahrttechnik und Geodäsie |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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wes-2-257-2017.pdf | 7,96 MB | Adobe PDF | Öffnen/Anzeigen |
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