Spectrum of wind speed fluctuations encountered by a rotating blade of a wind energy conversion system: observations and theory

Connell, J.R.

doi:10.2172/5348174

Cited by 13 publications

(10 citation statements)

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“…The spectra are similar to the rotating spectra of U observed with a a laser anemometer (Connell 1981) and previous measurements with the present facility . The spanwise, ur, and tangential, ut, velocity spectra shown have not been previously reported.…”

Section: Spectral Evaluationsupporting

confidence: 88%

“…It has been shown by Connell (1981) that the spectrum of turbulence experienced by a rotating system is markedly different than the spectrum observed at a fixed point. Less turbulent energy is observed at frequencies below the rotation frequency and more energy appears in the higher frequencies associated with the harmonics of the rotation.…”

Section: Introductionmentioning

confidence: 99%

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Measurement of turbulent wind velocities using a rotating boom apparatus

Sandborn¹,

Connell²

1984

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Section: Spectral Evaluationsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Measurement of turbulent wind velocities using a rotating boom apparatus

Sandborn¹,

Connell²

1984

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“…In Section 3 a computational scheme for the simulation of rotational sampling is applied to a sample of the tower data to provide some insight into the wind experienced by a rotating blade in a time-varying shear flow. A more complete treatment of the effect of wind speed fluctuations encountered by a rotating blade is provided by Connell (1981). Section 4 of the report provides a climatological summary of the diurnal (night versus day), seasonal and annual frequencies of a variety of shear conditions for three wind turbines.…”

Section: -1mentioning

confidence: 99%

“…The measurements used to generate the wind traces in Figure 2-1 were made on a circular array of anemometers mounted in a vertical plane (shown in Figure 2-2) for an experimental analysis described by Connell (1981). The thrust of that analysis was to show the drastic difference between the spectral content of the wind fluctuations measured by a single anemometer and the wind fluctuations that would be seen by a rotating blade element.…”

Section: -2 20 Wind Shear and A Rotating Bladementioning

confidence: 99%

Wind shear climatology for large wind turbine generators

Elliott¹,

Wendell²,

Heflick³

1982

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“…Wind turbines are becoming a feasible and attractive means of producing electricity (Hacıefendioğlu, ). Turbulence experienced by a rotating wind turbine rotor is highly different from those experienced by the stationary points (Connell, ). The simulation of turbulent wind field is fundamental for aerodynamic and structural analyses of wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Wind field simulation of large horizontal‐axis wind turbine system under different operating conditions

Chen

Yang

2015

Structural Design Tall Build

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SUMMARYThis paper proposes a technique of generating turbulent wind velocities on large horizontal-axis wind turbine systems under different operating conditions. The rotational sampling effect, vertical wind shear and coherence between wind velocities at blades and on the tower were taken into account. Coordinate system of wind time series at certain discrete sampling points on the vertical plane of the wind turbine is generated by the hybrid weighted amplitude wave superposition and proper orthogonal decomposition (POD) methods. The POD eigenmodes on the blades after updating locations were calculated subsequently using B-spline surface interpolation method, and the rotationally sampled wind velocities are reconstructed by taking advantage of POD method again. Examples are subsequently presented to validate this proposed technique and demonstrate the generation of wind velocities under different operating conditions. The results show that the simulated spectrum of turbulent wind velocities at blades corresponds well to the measured data and that on the tower agrees well with the fixed point Kaimal spectrum. The reasonable sampling points spacing is suggested to be about 10 m for the wind field simulation of wind turbine system. The proposed method is of great advantage in accuracy and efficiency, which is greatly significant for the fine analysis of multi-megawatt wind turbines.

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Spectrum of wind speed fluctuations encountered by a rotating blade of a wind energy conversion system: observations and theory

Cited by 13 publications

References 0 publications

Measurement of turbulent wind velocities using a rotating boom apparatus

Measurement of turbulent wind velocities using a rotating boom apparatus

Wind shear climatology for large wind turbine generators

Wind field simulation of large horizontal‐axis wind turbine system under different operating conditions

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