1991
DOI: 10.1007/bf00119335
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Methodology for bulk approximation of the wind profile power-law exponent under stable stratification

Abstract: The variation of the wind profile power-law exponent (p) with respect to changes in atmospheric stability is depicted using the formulation of Ku et al. (1987) for specifying the MoninObukhov scaling length (L) under stable atmospheric conditions. The theoretical estimates for the bulk approximation of p as a function of L under stable conditions compare well with power-law exponent data from various sources and the theoretical analysis from Irwin (1979).

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Cited by 22 publications
(13 citation statements)
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“…ratio of the standard deviation to the mean) for both the shape and scale parameters were approximately 0.25. Because we are interested in the impact of NAO on wind turbine power generation we re-scaled the data from 10 metre height to 60 metres using a wind shear prole (Zoumakis and Kelessis, 1991), as show in equation 2:…”
Section: Methodsmentioning
confidence: 99%
“…ratio of the standard deviation to the mean) for both the shape and scale parameters were approximately 0.25. Because we are interested in the impact of NAO on wind turbine power generation we re-scaled the data from 10 metre height to 60 metres using a wind shear prole (Zoumakis and Kelessis, 1991), as show in equation 2:…”
Section: Methodsmentioning
confidence: 99%
“…ratio of the standard deviation to the mean) for both the shape and scale parameters were approximately 0.25. Because we are interested in the impact of NAO on wind turbine power generation we re-scaled the data from 10 metre height to 60 metres using a wind shear prole (Zoumakis and Kelessis, 1991) where V refers to wind speed and ω to roughness length for which we use the European Wind Atlas roughness class 1.5 (ω = 0.055 metres), dened as agricultural land with some houses and 8 metre tall sheltering hedgerows with a distance of approximately 1250 metres (Troen and Petersen, 1989). While newly installed wind turbines can be in excess of 100 metres, rescaling to 60 metres height allows for the fact that many installed wind turbines are substantially smaller.…”
Section: Methodsmentioning
confidence: 99%
“…The histogram (bar-graph in Figure 3) presents the diurnal variation of the percentage of central heating fuel consumed hourly in Thessaloniki during the cold part of the year. During the morning hours the increase of the SO 2 emission sources, in conjunction with the shallow mixing height and the stable stratification of the atmosphere result in higher SO 2 columnar values (12,28,29). During midday and until the early afternoon, columnar SO 2 is declining due to the decreasing of local sources and increasing of intensity of mixing and wind speed into the mixing layer (9,30).…”
Section: Instrumentationmentioning
confidence: 96%