2016
DOI: 10.1063/1.4942785
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Evaluation of the lifting line vortex model approximation for estimating the local blade flow fields in horizontal-axis wind turbines

Abstract: Lifting line vortex models have been widely used to predict flow fields around wind turbine rotors. Such models are known to be deficient in modelling flow fields close to the blades due to the assumption that blade vorticity is concentrated on a line and consequently the influences of blade geometry are not well captured. The present study thoroughly assessed the errors arising from this approximation by prescribing the bound circulation as a boundary condition on the flow using a lifting line free-wake vorte… Show more

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Cited by 8 publications
(7 citation statements)
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“…The LineAve method also provides reasonable results, even with a low number of circle nodes and small radii. Significantly lower r c i r c than recommended by Sant et al seem to be possible since |Δ α | a v e is generally low. This might be connected to the averaging procedure.…”
Section: Resultsmentioning
confidence: 99%
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“…The LineAve method also provides reasonable results, even with a low number of circle nodes and small radii. Significantly lower r c i r c than recommended by Sant et al seem to be possible since |Δ α | a v e is generally low. This might be connected to the averaging procedure.…”
Section: Resultsmentioning
confidence: 99%
“…Similar to the SHS1 method, a minimum radius has to be kept regarding the point vortex modeling. Sant et al recently determined the error in the flow field of a lifting‐line code compared with PIV measurements and a panel model. They recommend distances in the order of 2.2 c for an error below 10% regarding the PIV measurements.…”
Section: Line Average Methods (Lineave)mentioning
confidence: 99%
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“…These two phenomena cause convergence problems. To avoid these numerical problems, some vortex core models based on the Lamb-Oseen vortex model [26], Ramasamy and Leishman vortex model [27], Vatistas vortex model [28] and β-Vatistas vortex model [29,30] have been applied in a FVW model. In our recent work, we compared the effects of the β-Vatistas model and Lamb-Oseen model in the FVW model [29] and further studied the application [30] of the β-Vatistas model.…”
Section: Velocity Induced By the Near Wakementioning
confidence: 99%