Wind tunnel performance data for the Darrieus wind turbine with NACA 0012 blades

Blackwell, B.F.; Sheldahl, Robert E.; Feltz, L.V.

doi:10.2172/7269797

Cited by 73 publications

(37 citation statements)

References 1 publication

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“…[18] the chord Reynolds number ranges from 1 Â 10 5 to 3 Â 10 5 ), nor to a different solidity (which, again, is here comparable to the one in Ref. [18]). On the other hand, such difference could be connected with higher stall characteristics of the DU-06-W200 airfoil (characterized by a thickness to chord ratio of 0.18) with respect to the NACA 0012 one (adopted in Ref.…”

Section: Normalized Powersupporting

confidence: 76%

“…12, it can be argued that the negative C Paero band at low TSR eq s could be very small. In other words, extrapolating the proposed measurements to low TSR eq values, the C Paero could be not so small as that obtained during Sandia tests on small VAWTs [18]. Moreover, comparing the C Paero -TSR eq curve at 200 rpm (chord Reynolds number of 1.4 Â 10 5 ) to the one at 300 rpm (chord Reynolds number of 2.5 Â 10 5 ), it clearly appears that the local (i.e.…”

Section: Normalized Powermentioning

confidence: 52%

“…experienced by each blade section) Reynolds number strongly promotes the energy extraction (see also [52e54]), even at low TSR eq s. The different behaviour of the hereby tested rotor is not to be ascribed to a higher chord Reynolds number (in Ref. [18] the chord Reynolds number ranges from 1 Â 10 5 to 3 Â 10 5 ), nor to a different solidity (which, again, is here comparable to the one in Ref. [18]).…”

Section: Normalized Powermentioning

confidence: 52%

See 2 more Smart Citations

Wind tunnel testing of the DeepWind demonstrator in design and tilted operating conditions

Battisti

Benini

Brighenti

et al. 2016

Energy

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Section: Normalized Powersupporting

confidence: 76%

Section: Normalized Powermentioning

confidence: 52%

Section: Normalized Powermentioning

confidence: 52%

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Wind tunnel testing of the DeepWind demonstrator in design and tilted operating conditions

Battisti

Benini

Brighenti

et al. 2016

Energy

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“…Rigorous and exhaustive experimental data from both wind tunnel and field measurements for different sizes of VAWTs were collected by these institutes in the 1970s and 1980s [3][4][5][6][7][8]. These experiments and other wind tunnel and field measurements, which were done during those years [9][10][11][12][13][14], mainly focused on overall rotor performance (e.g., power and torque) and loading on the blades.…”

Section: Introductionmentioning

confidence: 99%

Large Eddy Simulation of Vertical Axis Wind Turbine Wakes

2014

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In this study, large eddy simulation (LES) is combined with a turbine model to investigate the wake behind a vertical-axis wind turbine (VAWT) in a three-dimensional turbulent flow. Two methods are used to model the subgrid-scale (SGS) stresses: (a) the Smagorinsky model; and (b) the modulated gradient model. To parameterize the effects of the VAWT on the flow, two VAWT models are developed: (a) the actuator swept-surface model (ASSM), in which the time-averaged turbine-induced forces are distributed on a surface swept by the turbine blades, i.e., the actuator swept surface; and (b) the actuator line model (ALM), in which the instantaneous blade forces are only spatially distributed on lines representing the blades, i.e., the actuator lines. This is the first time that LES has been applied and validated for the simulation of VAWT wakes by using either the ASSM or the ALM techniques. In both models, blade-element theory is used to calculate the lift and drag forces on the blades. The results are compared with flow measurements in the wake of a model straight-bladed VAWT, carried out in the Institute de Méchanique et Statistique de la Turbulence (IMST) water channel. Different combinations of SGS models with VAWT models are studied, and a fairly good overall agreement between simulation results and measurement data is observed. In general, the ALM is found to better capture the unsteady-periodic nature of the wake and shows a better agreement with the experimental data compared with the ASSM. The modulated gradient model is also found to be a more reliable SGS stress modeling technique, compared with the Smagorinsky model, and it yields reasonable predictions of the mean flow and turbulence characteristics of a VAWT wake using its theoretically-determined model coefficient.Energies 2014, 7 891

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“…These results can be used to design low-noise Savonius wind turbines. (1) . Fujisawa는 유동가시화 실험 및 날개 위에서의 압력 측정 실험을 통해 사보 니우스 풍력발전기의 토크 생성 메커니즘을 실험적 으로 밝혀내었다 (2) .…”

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Numerical Analysis on the Flow Noise Characteristics of Savonius Wind Turbines

Kim¹,

Cheong²

2013

Transactions of the Korean Society for Noise and Vibration Engi

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Noise performance of small wind turbines is critical since these are generally installed near the community. In this study, flow noise characteristics of Savonius wind turbines are numerically investigated. Flow field around the turbine are computed by solving unsteady RANS equation using CFD techniques and the radiated noise are predicted by applying acoustic analogy to the computed flow data. Parametric study is then carried out to investigate the effects of operating conditions and geometric design factors of the Savonius wind turbine. Tonal noise components with higher harmonic frequency than the BPF are identified in the predicted noise spectra from a Savonius wind turbine.The end-plates and helical blades are shown to reduce overall noise levels. These results can be used to design low-noise Savonius wind turbines.

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Wind tunnel performance data for the Darrieus wind turbine with NACA 0012 blades

Cited by 73 publications

References 1 publication

Wind tunnel testing of the DeepWind demonstrator in design and tilted operating conditions

Wind tunnel testing of the DeepWind demonstrator in design and tilted operating conditions

Large Eddy Simulation of Vertical Axis Wind Turbine Wakes

Numerical Analysis on the Flow Noise Characteristics of Savonius Wind Turbines

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