Numerical and Experimental Investigation of Trailing Edge Flap Performance on a Model Wind Turbine

Marten, David; Bartholomay, Sirko; Pechlivanoglou, George; Nayeri, Christian Navid; Paschereit, Christian Oliver; Fischer, Annette; Lutz, Thorsten

doi:10.2514/6.2018-1246

Cited by 7 publications

(7 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the AoA from the 3-hole probes method capture a drop near the zone of azimuth angle φ ≈ 100 • and several more with different intensities along with azimuth angle variations. This behavior has been seen in previous results of Klein et al (2018); Bartholomay et al (2018b); Marten et al (2018) and is related to small mounting errors and vibrations of the probes. Although the AoA over the azimuthal variation is not constant, both methods estimate a similar AoA range.…”

Section: Pressure Distributionsupporting

confidence: 85%

“…The Technical University of Berlin has developed a scaled wind turbine model, the Berlin Research Turbine (BeRT), equipped with 3-hole probes and pressure taps on one of its blades (Vey et al, 2015). The present focuses on determining the AoA over the BeRT blades and complements previous investigations on BeRT, such as inflow modifications (Bartholomay et al, 2017), bending moment crosstalk effects (Bartholomay et al, 2018a), load alleviation with flaps (Bartholomay et al, 2018b), wind tunnel modeling (Klein et al, 2018) and wind turbine wakes (Marten et al, 2018(Marten et al, , 2019. The results presented here are the first on-blade pressure measurements from the BeRT blade and can be used to validate numerical solvers and to develop control strategies.…”

mentioning

confidence: 92%

See 1 more Smart Citation

Determination of the Angle of Attack on a Research Wind Turbine Rotor Blade Using Surface Pressure Measurements

Soto‐Valle¹,

Bartholomay²,

Alber³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. In this paper, a method to determine the angle of attack on a wind turbine rotor blade using a chordwise pressure distribution measurement was applied. The approach uses a reduced number of pressure taps data located close to the blade leading edge. The results were compared with three 3-hole probes located at different radial positions and analytical calculations. The experimental approaches are based on the 2-D flow assumption; the pressure tap method is an application of the thin airfoil theory and the 3-hole probe method uses external probe measurements and applies geometrical and induction corrections. The experiments were conducted in the wind tunnel at the Hermann Föttinger Institut of the Technische Unversität Berlin. The research turbine is a three-bladed upwind horizontal axis wind turbine model with a rotor diameter of 3 m. The measurements were carried out at rated condition with a tip speed ratio of 4.35 and different yaw and pitch angles were tested in order to compare both methods over a wide range of conditions. Results show that the pressure taps method is suitable with a similar angle of attack results as the 3-hole probes for the aligned case. When a yaw misalignment was introduced the method captures the same trend and feature of the analytical estimations. Nevertheless, it is not able to capture the tower influence. Regarding the influence of pitching the blades, a linear relationship between the angle of attack and pitch angle was found.

show abstract

Section: Pressure Distributionsupporting

confidence: 85%

mentioning

confidence: 92%

Determination of the Angle of Attack on a Research Wind Turbine Rotor Blade Using Surface Pressure Measurements

Soto‐Valle¹,

Bartholomay²,

Alber³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, the AoA from the three-hole-probe method captures a drop near the zone of azimuth angles φ ≈ 90 • and φ ≈ 290 • . This behavior has been seen in previous results of Klein et al (2018), Bartholomay et al (2018) and Marten et al (2018).…”

Section: Pressure Distributionsupporting

confidence: 89%

“…On previous work by Klein et al (2018) and Marten et al (2018) the AoA estimations made with far-field considerations showed an offset of α off = 2.3 • with respect to the three-hole probes. The smaller difference between experimental and analytical estimations in the current work supports the fact that the blockage model is well implemented.…”

Section: Pressure Distributionmentioning

confidence: 68%

Determination of the angle of attack on a research wind turbine rotor blade using surface pressure measurements

et al. 2020

Self Cite

View full text Add to dashboard Cite

Abstract. In this paper, a method to determine the angle of attack on a wind turbine rotor blade using a chordwise pressure distribution measurement was applied. The approach used a reduced number of pressure tap data located close to the blade leading edge. The results were compared with the measurements from three external probes mounted on the blade at different radial positions and with analytical calculations. Both experimental approaches used in this study are based on the 2-D flow assumption; the pressure tap method is an application of the thin airfoil theory, while the probe method applies geometrical and induction corrections to the measurement data. The experiments were conducted in the wind tunnel at the Hermann Föttinger Institut of the Technische Universität Berlin. The research turbine is a three-bladed upwind horizontal axis wind turbine model with a rotor diameter of 3 m. The measurements were carried out at rated conditions with a tip speed ratio of 4.35, and different yaw and pitch angles were tested in order to compare the approaches over a wide range of conditions. Results show that the pressure tap method is suitable and provides a similar angle of attack to the external probe measurements as well as the analytical calculations. This is a significant step for the experimental determination of the local angle of attack, as it eliminates the need for external probes, which affect the flow over the blade and require additional calibration.

show abstract

“…Pechlivanoglou (2013) conducted experimental and numerical studies to determine the most promising set-up of passive and active local flow control solutions for wind turbine blades, and he concluded that a controllable flexible trailing edge flap close to the blade tip has the most potential to mitigate the dynamic blade loads. The individual trailing edge flap control (TEFC) has been shown to be an effective means of reducing dynamic blade loads in numerical studies (Bergami and Poulsen, 2015;He et al, 2018;Ungurán and Kühn, 2016;Zhang et al, 2018), wind tunnel tests (Barlas et al, 2013;Marten et al, 2018;van Wingerden et al, 2011), and field tests (Berg et al, 2014;Castaignet et al, 2014). Castaignet et al (2014) performed a full-scale test on a Vestas V27 wind turbine, reporting a load reduction of 14 % at the flap-wise blade root bending moment, providing proof of the control concept and the capabilities of the trailing edge flap for dynamic blade load mitigation.…”

Section: Introductionmentioning

confidence: 97%

Uncertainty identification of blade-mounted lidar-based inflow wind speed measurements for robust feedback–feedforward control synthesis

et al. 2019

View full text Add to dashboard Cite

Abstract. The current trend toward larger wind turbine rotors leads to high periodic loads across the components due to the non-uniformity of inflow across the rotor. To address this, we introduce a blade-mounted lidar on each blade to provide a preview of inflow wind speed that can be used as a feedforward control input for the mitigation of such periodic blade loads. We present a method to easily determine blade-mounted lidar parameters, such as focus distance, telescope position, and orientation on the blade. However, such a method is accompanied by uncertainties in the inflow wind speed measurement, which may also be due to the induction zone, wind evolution, “cyclops dilemma”, unidentified misalignment in the telescope orientation, and the blade segment orientation sensor. Identification of these uncertainties allows their inclusion in the feedback–feedforward controller development for load mitigation. We perform large-eddy simulations, in which we simulate the blade-mounted lidar including the dynamic behaviour and the induction zone of one reference wind turbine for one above-rated inflow wind speed. Our calculation approach provides a good trade-off between a fast and simple determination of the telescope parameters and an accurate inflow wind speed measurement. We identify and model the uncertainties, which can then be directly included in the feedback–feedforward controller design and analysis. The rotor induction effect increases the preview time, which needs to be considered in the controller development and implementation.

show abstract

Numerical and Experimental Investigation of Trailing Edge Flap Performance on a Model Wind Turbine

Cited by 7 publications

References 10 publications

Determination of the Angle of Attack on a Research Wind Turbine Rotor Blade Using Surface Pressure Measurements

Determination of the Angle of Attack on a Research Wind Turbine Rotor Blade Using Surface Pressure Measurements

Determination of the angle of attack on a research wind turbine rotor blade using surface pressure measurements

Uncertainty identification of blade-mounted lidar-based inflow wind speed measurements for robust feedback–feedforward control synthesis

Contact Info

Product

Resources

About