2008
DOI: 10.1002/we.314
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Model‐based analysis of wake‐flow data in the Nysted offshore wind farm

Abstract: Wake-flow data of the Nysted offshore wind farm is analysed with the engineering wake model of Jensen. Two-parameter fits referring to wake-decay parameter and wind direction are made to each individual 10 min-averaged recording of turbine powers. The fitted wind direction neither agrees with the measurements at the meteorological masts nor the turbine orientations, but is in agreement with the power deficit ratios between second-and first-row turbines. The fitted wake-decay parameter varies roughly between k … Show more

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Cited by 44 publications
(24 citation statements)
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“…(1), the change of wind speed with height in the surface layer depends not only on the prevailing atmospheric stability but also the surface roughness. The latter varies with wind speed offshore (Charnock, 1955), but due to the very low values for the roughness length even under high wind conditions, variations in z 0 have a negligible impact on the average vertical profile of wind speeds (Barthelmie, 2001;Frank et al, 2000). Many other physical mechanisms influence wind speed profiles, particularly in the near-coastal zone.…”
Section: Monin-obukhov Similarity Theorymentioning
confidence: 99%
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“…(1), the change of wind speed with height in the surface layer depends not only on the prevailing atmospheric stability but also the surface roughness. The latter varies with wind speed offshore (Charnock, 1955), but due to the very low values for the roughness length even under high wind conditions, variations in z 0 have a negligible impact on the average vertical profile of wind speeds (Barthelmie, 2001;Frank et al, 2000). Many other physical mechanisms influence wind speed profiles, particularly in the near-coastal zone.…”
Section: Monin-obukhov Similarity Theorymentioning
confidence: 99%
“…The generalizability of inferences drawn from the Anholt experiment are evaluated using meteorological data collected from Nysted offshore wind farm (Cleve et al, 2009). The data were analyzed to assess how frequently the conditions likely to be associated with substantial impact of humidity fluxes on the wind speed profile are observed, and to assess the degree to which inclusion of L q in computing L improves the fit between the predicted and observed wind speed profiles.…”
Section: Data From the Nysted Wind Farmmentioning
confidence: 99%
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