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dc.date.accessioned2017-02-08T10:54:35Z
dc.date.available2017-02-08T10:54:35Z
dc.date.issued2017-02-08
dc.identifier.uriurn:nbn:de:hebis:34-2017020852024
dc.identifier.urihttp://hdl.handle.net/123456789/2017020852024
dc.language.isoger
dc.subjectwind power simulationeng
dc.subjecttime series generationeng
dc.subjectwind power modelingeng
dc.subjectwind power curveeng
dc.subjectwind energy scenarioeng
dc.subjectfluctuationeng
dc.subjectintermittencyeng
dc.subjectdensity functioneng
dc.subjectwake effecteng
dc.subjectnumerical weather modeleng
dc.subject.ddc620
dc.titleModellierung von raum-zeitlichen Eigenschaften der Windenergieeinspeisung für wetterdatenbasierte Windleistungssimulationenger
dc.typeDissertation
dcterms.abstractThis thesis describes statistical and mathematical models for the quantification of today’s and the representation of future characteristics of the wind power generation in time and space. These models serve particularly for the quantification of the spatial distribution of installed wind power capacities, the calculation of the average hub heights of wind farms, the development of wind energy scenarios, the inserting of wind speed fluctuations into given wind speed time series, the modeling of the intermittent probability density functions of wind power increments, the processing of the power curves of wind turbines, the generation of power curves of wind farms and the modeling of wake effects between wind turbines within wind farms. The models are combined to create wind power simulation procedures for the generation of time series of the wind power generation based on weather data.eng
dcterms.accessRightsopen access
dcterms.creatorKnorr, Kaspar
dc.contributor.corporatenameKassel, Universität Kassel, Fachbereich Elektrotechnik / Informatik
dc.contributor.refereeZacharias, Peter (Prof. Dr.-Ing. habil.)
dc.contributor.refereeHoffmann, Clemens (Prof. Dr. rer. nat.)
dc.subject.ccsG.3
dc.subject.ccsI.6.5
dc.subject.ccsI.6.7
dc.subject.ccsPROBABILITY AND STATISTICS
dc.subject.ccsModel Development
dc.subject.jelC63ger
dc.subject.jelQ42ger
dc.subject.jelComputational Techniques • Simulation Modelingeng
dc.subject.jelAlternative Energy Sourceseng
dc.subject.msc62P35ger
dc.subject.msc62P12ger
dc.subject.msc62H30ger
dc.subject.mscStatisticseng
dc.subject.mscApplications to environmental and related topicseng
dc.subject.mscApplications to physicseng
dc.subject.mscClassification and discrimination; cluster analysiseng
dc.subject.mscSimulation Support Systemseng
dc.subject.pacsWind energyeng
dc.subject.pacs88.50.gjger
dc.subject.pacs88.50.J-ger
dc.subject.pacs88.50.G-ger
dc.subject.pacs88.50.Mpger
dc.subject.pacs92.60.Gnger
dc.subject.pacsWinds and their effectseng
dc.subject.pacs92.60.Aager
dc.subject.pacsModeling and model calibrationeng
dc.subject.pacs02.70.-cger
dc.subject.pacsComputational techniques; simulationseng
dc.subject.swdWindenergieger
dc.subject.swdSimulationger
dc.date.examination2016-09-05


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