35th Wind Energy Symposium 2017
DOI: 10.2514/6.2017-0916
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Characterization of the carborundum used in rough airfoil surface tests and modelling with CFD

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Cited by 2 publications
(3 citation statements)
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“…It is important to remark that for all roughness states, no correlation is used in this study between the emulated roughness height and a roughness height found in a real wind turbine. The scientific community is researching this correlation [25], [23], [24]. The relatively higher value of k s /c of the 30% thick airfoil, is combined with larger chords at the mid-span region of the blade.…”
Section: Roughness Emulation 30% Thick Airfoilmentioning
confidence: 99%
“…It is important to remark that for all roughness states, no correlation is used in this study between the emulated roughness height and a roughness height found in a real wind turbine. The scientific community is researching this correlation [25], [23], [24]. The relatively higher value of k s /c of the 30% thick airfoil, is combined with larger chords at the mid-span region of the blade.…”
Section: Roughness Emulation 30% Thick Airfoilmentioning
confidence: 99%
“…WMB is an in-house compressible code developed and validated by CENER and the University of Liverpool for 2D and 3D aerodynamics analysis of WTs. This code has been used to characterize the effect of distributed roughness located in the aerofoil surface on aerofoil performance [2][3][4][5][6]. The code is capable of analysing compressible, RANS or URANS equations.…”
Section: Numerical Set-upmentioning
confidence: 99%
“…The aerodynamic profile of a blade of a wind turbine (WT) can be altered because of erosion or dirt, which can lead to losses in the annual energy production (AEP) [1][2][3][4][5]. Some studies estimated that such losses can be up to 4% for erosion and 24% for dirt [6][7][8]. Erosion has been identified as one of the largest WT problems globally and several projects, which involve blade manufacturers (OEM), research centres, material suppliers and WT operators, are focused on understanding erosion mechanism, prediction of the lifetime of coatings, development of new materials/systems for leading edge protection (LEP), erosion detection/monitoring, and reduction of erosion impact on the operational performance [9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%