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contributor authorBarthelmie, R. J.
contributor authorPryor, S. C.
contributor authorFrandsen, S. T.
contributor authorHansen, K. S.
contributor authorSchepers, J. G.
contributor authorRados, K.
contributor authorSchlez, W.
contributor authorNeubert, A.
contributor authorJensen, L. E.
contributor authorNeckelmann, S.
date accessioned2017-06-09T16:37:14Z
date available2017-06-09T16:37:14Z
date copyright2010/08/01
date issued2010
identifier issn0739-0572
identifier otherams-71071.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212922
description abstractThere is an urgent need to develop and optimize tools for designing large wind farm arrays for deployment offshore. This research is focused on improving the understanding of, and modeling of, wind turbine wakes in order to make more accurate power output predictions for large offshore wind farms. Detailed data ensembles of power losses due to wakes at the large wind farms at Nysted and Horns Rev are presented and analyzed. Differences in turbine spacing (10.5 versus 7 rotor diameters) are not differentiable in wake-related power losses from the two wind farms. This is partly due to the high variability in the data despite careful data screening. A number of ensemble averages are simulated with a range of wind farm and computational fluid dynamics models and compared to observed wake losses. All models were able to capture wake width to some degree, and some models also captured the decrease of power output moving through the wind farm. Root-mean-square errors indicate a generally better model performance for higher wind speeds (10 rather than 6 m s?1) and for direct down the row flow than for oblique angles. Despite this progress, wake modeling of large wind farms is still subject to an unacceptably high degree of uncertainty.
publisherAmerican Meteorological Society
titleQuantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms
typeJournal Paper
journal volume27
journal issue8
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/2010JTECHA1398.1
journal fristpage1302
journal lastpage1317
treeJournal of Atmospheric and Oceanic Technology:;2010:;volume( 027 ):;issue: 008
contenttypeFulltext


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