Experimental and numerical investigation of the influence of roughness and turbulence on LUT airfoil performance

Li, Shoutu; Li, Ye; Yang, Congxin; Zheng, Xing; Wang, Qing; Wang, Yin; Li, Deshun; Hu, Wenrong

doi:10.1007/s10409-019-00898-3

Cited by 7 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…in Ref. [41]. The impact of inflow turbulence and/or surface roughness is well represented by means of the CFD results available in same figure as computed in Ref.…”

Section: Extension To Large Wind Turbine Rotor-blade Scenariosmentioning

confidence: 84%

On the calibration of rotational augmentation models for wind turbine load estimation by means of CFD simulations

et al. 2020

View full text Add to dashboard Cite

In this work the improved version of an engineering model which accounts for rotational augmentation effects by means of computational fluid dynamics (CFD) calibration is explored and discussed. Based on an analysis of the NREL Phase VI wind turbine, the novel modeling is presented, which uses as base line the formulation proposed by Chaviaropoulos and Hansen. The model is calibrated based on CFD simulations using OpenFOAM. The corresponding correction of the two dimensional polars is straightforward implemented within MoWiT, an in-house software for load calculation. The novel formulation results in improved lift and drag coefficients prediction in all considered cases, reducing the deviation with respect to the rotating CFD cases down to few percent. The optimal configuration including the correction for tip effects of Shen shows better agreements at the very tip of the blade. Furthermore the range of applicability for large wind turbine rotor blades based on a virtual 10 MW rotor model is discussed.

show abstract

“…in Ref. [41]. The impact of inflow turbulence and/or surface roughness is well represented by means of the CFD results available in same figure as computed in Ref.…”

Section: Extension To Large Wind Turbine Rotor-blade Scenariosmentioning

confidence: 84%