2007
DOI: 10.1088/1742-6596/75/1/012049
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Modelling and measurements of wakes in large wind farms

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Cited by 112 publications
(94 citation statements)
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“…Subsequently we discuss how the CWBL model can be applied to more general configurations and arbitrary wind inflow directions. In sections 3 and 4 the CWBL model results are compared with field measurement data for Horns Rev and Nysted [46,47], see figure 2, and LES results for Horns Rev [2]. The general conclusions are presented in section 5.…”
Section: Introductionmentioning
confidence: 98%
“…Subsequently we discuss how the CWBL model can be applied to more general configurations and arbitrary wind inflow directions. In sections 3 and 4 the CWBL model results are compared with field measurement data for Horns Rev and Nysted [46,47], see figure 2, and LES results for Horns Rev [2]. The general conclusions are presented in section 5.…”
Section: Introductionmentioning
confidence: 98%
“…It is now well understood that when several wind turbines are clustered together forming a wind farm, the net harvested power is less than what theoretically would be extracted by an equal number of isolated turbines (Barthelmie et al 2010). Several works have analyzed the effects of wind-turbine arrangement and wake superposition on the resultant harvested power (Barthelmie et al 2007(Barthelmie et al , 2009; Barthelemie and Jensen 2010;Porté-Agel et al 2013;Stevens et al 2014) as well as wake interactions and the wake-recovery processes (Frandsen 1992;Emeis and Frandsen 1993;Frandsen et al 2006;Cal et al 2010;Markfort et al 2012). Analytical wake models for wind farms developed decades ago (Lissaman 1979;Jensen 1983;Katic et al 1986) continue to serve as the bedrock of various engineering software packages used for wind-farm design such as the Wind Atlas Analysis and Application Program (WAsP).…”
Section: Introductionmentioning
confidence: 99%
“…For field data, data have to be filtered for the naturally arising levels of stability. A recent extensive collection of field data, as well as assessment of wake prediction methods, are to be found in the UpWind project (Barthelmie et al, 2011). That study shows, for example, that the airflow at the Horns Rev wind farm during the one year of the data collection was in neutral or near-neutral conditions for only 30% of the time, 25% in stable and 45% in unstable or very unstable conditions.…”
Section: Introductionmentioning
confidence: 99%