The experimental characterisation of dynamic stall of the FFA-W3-211 wind turbine airfoil
Abstract. In this work, an experimental campaign was carried out to determine for the first time both the static and dynamic aerodynamic properties of the FFA-W3-211 airfoil. This airfoil is widely used in the wind energy community as part of IEA reference wind turbine designs but is lacking experimental data for design, simulation tool validation and dynamic stall modelling purposes. The airfoil model was designed and manufactured to be tested in the Low Speed, Low Turbulence wind tunnel of the TU Delft. The airfoil was tested statically for Reynolds numbers from Rec = 5 x 105 to Rec = 3.5 x 106 and dynamically for up to Rec = 2 x 106, covering the steady, unsteady and highly unsteady aerodynamic behaviour. Data were acquired through pressure measurements at the surface of the airfoil and in the wake, as well as by the use of thermal cameras. The static results highlight a strong dependence of the lift and drag polars on the Reynolds number and indicate the presence of laminar separation bubbles for the lowest static Reynolds number regimes. Therefore, two distinct regimes can be identified for the static data between which a fundamental change in flow behaviour is observed. The dynamic behaviour was studied for the positive, negative and linear regions of the polar. The positive region is governed by the lack of a leading-edge vortex. This is in contrast to the negative region of the polars where the effects of a vortex close to the leading edge dominate. The sensitivity of results to reduced frequency, amplitude, and Reynolds number is discussed.
This paper is describing a new experimental dynamic stall dataset obtained for a commonly used airfoil in IEA 15 and 22MW reference wind turbines and other studies. Experiments are in good quality, the data covers a wide operational range assessing Reynolds number, reduced frequency, oscillating frequency and amplitude effects for negative, linear and positive lift regions. This dataset helps improving the understanding of wind turbine airfoils' dynamic stall behavior and has potential to be a new source for calibrating dynamic stall models used in wind turbine design or validating numerical models. The structure of the paper is good, motivation is well described and valid. Experimental setup and execution is also described well. However, there are a number of points which require significant improvements. These are namely:
Due to the importance and the quality of the dataset, this paper could be given an opportunity to improve these aspects.
More detailed review and specific questions can be found in the document enclosed.