6th AIAA Theoretical Fluid Mechanics Conference 2011
DOI: 10.2514/6.2011-3612
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Turbulence and the Isolated Wind Turbine

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Cited by 10 publications
(12 citation statements)
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“…Wind turbines operate in the atmospheric boundary layer (ABL) where atmospheric turbulence arises from velocity shear (velocity change with height) and directional shear (wind direction change with height), thermal stratification, low-level moisture, as well as from the interaction of the airflow with vegetation, buildings or terrain (Naughton et al, 2011;Emeis, 2013Emeis, , 2014.…”
Section: Introductionmentioning
confidence: 99%
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“…Wind turbines operate in the atmospheric boundary layer (ABL) where atmospheric turbulence arises from velocity shear (velocity change with height) and directional shear (wind direction change with height), thermal stratification, low-level moisture, as well as from the interaction of the airflow with vegetation, buildings or terrain (Naughton et al, 2011;Emeis, 2013Emeis, , 2014.…”
Section: Introductionmentioning
confidence: 99%
“…The resulting three-dimensional turbulence field is compact and provides turbulence spectra as expected in an ABL. This method, however, is not based on a physical model and only offers a synthetic turbulence field (Naughton et al, 2011). An alternative approach is to couple meteorological data (e.g.…”
Section: Introductionmentioning
confidence: 99%
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“…The interaction of the ABL turbulence with wind turbine wakes is only poorly understood due to the complexity of the ABL (Naughton et al (2011), Emeis (2013), Emeis (2014)). This paper can be considered as an investigation to prepare LESs of wind turbine wakes subject towards realistic 65 ABL regimes.…”
mentioning
confidence: 99%
“…In most of the numerical simulations of an individual wind turbine, however, an NBL is assumed (e.g. Wu and Porté-Agel (2011), Porté-Agel 80 et al (Chapel Hill, 2010), Naughton et al (2011), Englberger and Dörnbrack (2015)). There are approaches considering the SBL ) or the CBL ) in a one-way nested Weather Research and Forecasting (WRF)-LES simulation.…”
mentioning
confidence: 99%