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Modelling and measuring flow and wind turbine wakes in large wind farms offshore

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dc.contributor.author Barthelmie, RJ en
dc.contributor.author Hansen, K en
dc.contributor.author Frandsen, ST en
dc.contributor.author Rathmann, O en
dc.contributor.author Schepers, JG en
dc.contributor.author Schlez, W en
dc.contributor.author Phillips, J en
dc.contributor.author Rados, K en
dc.contributor.author Zervos, A en
dc.contributor.author Politis, ES en
dc.contributor.author Chaviaropoulos, PK en
dc.date.accessioned 2014-03-01T01:31:14Z
dc.date.available 2014-03-01T01:31:14Z
dc.date.issued 2009 en
dc.identifier.issn 1095-4244 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/19754
dc.subject Measurements en
dc.subject Modelling en
dc.subject Offshore en
dc.subject Wakes en
dc.subject Wind turbine en
dc.subject.classification Energy & Fuels en
dc.subject.classification Engineering, Mechanical en
dc.subject.other Average power en
dc.subject.other CFD models en
dc.subject.other Flow modelling en
dc.subject.other Modelling en
dc.subject.other Offshore en
dc.subject.other Offshore wind farms en
dc.subject.other Power-losses en
dc.subject.other Reduced cost en
dc.subject.other State of the art en
dc.subject.other Total power en
dc.subject.other Wind energy en
dc.subject.other Wind farm en
dc.subject.other Wind turbine wakes en
dc.subject.other Computational fluid dynamics en
dc.subject.other Electric utilities en
dc.subject.other Engines en
dc.subject.other Farms en
dc.subject.other Offshore power plants en
dc.subject.other Wakes en
dc.subject.other Wind turbines en
dc.subject.other Wind power en
dc.subject.other computational fluid dynamics en
dc.subject.other cost en
dc.subject.other energy market en
dc.subject.other flow measurement en
dc.subject.other measurement method en
dc.subject.other wake en
dc.subject.other wind farm en
dc.subject.other wind turbine en
dc.title Modelling and measuring flow and wind turbine wakes in large wind farms offshore en
heal.type journalArticle en
heal.identifier.primary 10.1002/we.348 en
heal.identifier.secondary http://dx.doi.org/10.1002/we.348 en
heal.language English en
heal.publicationDate 2009 en
heal.abstract Average power losses due to wind turbine wakes are of the order of 10 to 20% of total power output in large offshore wind farms. Accurately quantifying power losses due to wakes is, therefore, an important part of overall wind farm economics. The focus of this research is to compare different types of models from computational fluid dynamics (CFD) to wind form models in terms of how accurately they represent wake losses when compared with measurements from offshore wind forms. The ultimate objective is to improve modelling of flow for large wind forms in order to optimize wind form layouts to reduce power losses due to wakes and loads. The research presented is part of the EC-funded UpWind project, which aims to radically improve wind turbine and wind farm models in order to continue to improve the costs of wind energy. Reducing wake losses, or even reduce uncertainties in predicting power losses from wakes, contributes to the overall goal of reduced costs. Here, we assess the state of the art in wake and flow modelling for offshore wind forms, the focus so for has been cases at the Horns Rev wind form, which indicate that wind form models require modification to reduce under-prediction of wake losses while CFD models typically over-predict wake losses. Further investigation is underway to determine the causes of these discrepancies. Copyright (C) 2009 John Wiley & Sons, Ltd. en
heal.publisher JOHN WILEY & SONS LTD en
heal.journalName Wind Energy en
dc.identifier.doi 10.1002/we.348 en
dc.identifier.isi ISI:000268518400002 en
dc.identifier.volume 12 en
dc.identifier.issue 5 en
dc.identifier.spage 431 en
dc.identifier.epage 444 en


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