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2016-03-07Buch DOI: 10.18452/4623
Neighborhood Effects in Wind Farm Performance
dc.contributor.authorRitter, Matthias
dc.contributor.authorPieralli, Simone
dc.contributor.authorOdening, Martin
dc.date.accessioned2017-06-16T01:23:45Z
dc.date.available2017-06-16T01:23:45Z
dc.date.created2017-02-03
dc.date.issued2016-03-07
dc.date.submitted2016-03-07
dc.identifier.issn1860-5664
dc.identifier.urihttp://edoc.hu-berlin.de/18452/5275
dc.description.abstractThe optimization of turbine density in wind farms entails a trade-off between the usage of scarce, expensive land and power losses through turbine wake effects. A quantification and prediction of the wake effect, however, is challenging because of the complex aerodynamic nature of the interdependencies of turbines. In this paper, we propose a parsimonious data driven econometric wake model that can be used to predict production losses of existing and potential wind parks. Motivated by simple engineering wake models, the predicting variables are wind speed, turbine alignment angle, and distance. By utilizing data from two wind parks in Germany, a significantly better prediction of wake effect losses is attained compared to the standard Jensen model. A scenario analysis reveals that a distance between turbines can be reduced up to three times the rotor size without entailing substantial production losses. In contrast, a suboptimal configuration of turbines with respect to the main wind direction can result in production losses that are five times higher.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
dc.subjectWind energyeng
dc.subjectdual-self modeleng
dc.subjectdrift–diffusion modeleng
dc.subjectresponse timeseng
dc.subjectwake modelingeng
dc.subjectwind farm designmultiplesystem approacheng
dc.subject.ddc310 Statistik
dc.subject.ddc330 Wirtschaft
dc.titleNeighborhood Effects in Wind Farm Performance
dc.typebook
dc.subtitleAn Econometric Approach
dc.identifier.urnurn:nbn:de:kobv:11-100243448
dc.identifier.doihttp://dx.doi.org/10.18452/4623
local.edoc.container-titleSonderforschungsbereich 649: Ökonomisches Risiko
local.edoc.pages18
local.edoc.type-nameBuch
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
local.edoc.container-volume2016
local.edoc.container-issue12
local.edoc.container-year2016
local.edoc.container-erstkatid2195055-6

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