Numerical study of the effects of wind shear coefficients on the flow characteristics of the near wake of a wind turbine blade

Wang, Haipeng; Zhang, Bo; Q, Qiu

doi:10.1177/0957650915617855

Cited by 6 publications

(9 citation statements)

References 21 publications

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“…Formula (25) indicates that different wind speed model result in different wind farm power. Formulas (5) and (13) in section 2 show that the average wind speed of both WS model and TS model are less than uniform wind speed, and that means both WS and TS will result in wind farm power loss compared with power output in the case of uniform wind speed according to (25). This item of power loss is defined as wind farm loss.…”

Section: Power Lossmentioning

confidence: 99%

“…Some researchers studied WS and TS from the aspect of the wake of a wind turbine. Wang et al [13] studied the effects of WS and WS coefficients on the near wake of wind turbine and indicated that the torque of the blade as well as the characteristic of the blade near wake varied periodically due to WS. The axis, tangential, and radial velocities and the turbulence intensity were significantly affected by WS at the region of the blade near wake.…”

Section: Introductionmentioning

confidence: 99%

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Power fluctuation and power loss of wind turbines due to wind shear and tower shadow

Wen

Wei

Wei³

et al. 2017

Front. Mech. Eng.

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The magnitude and stability of the power output are two important indices for wind turbines. To estimate the capacity and quality of the power generated by a wind turbine, the relationships between power output and wind shear (WS) and tower shadow (TS) are discussed in this paper from the aspects of power fluctuation and power loss. WS and TS are described at first with a modification made to the TS model considering the cone-shaped tower of modern largescaled wind turbines. The power output of NREL 5MW reference wind turbine is calculated based on the modified Blade Element Momentum (BEM) Theory. Power fluctuation and power loss due to WS and TS are analyzed by theoretical calculation and case analysis, and the results indicate that TS is the main cause of power fluctuation while WS dominates in power loss. Power loss can be divided into wind farm loss and rotor loss, where wind farm loss is a constant while rotor loss is closely related to wind turbine control strategies. The results of this research can serve as a reference in accurate power estimation and strategies development to mitigate the fluctuation of aerodynamic loads and power output due to WS and TS.

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Section: Power Lossmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power fluctuation and power loss of wind turbines due to wind shear and tower shadow

Wen

Wei

Wei³

et al. 2017

Front. Mech. Eng.

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“…The computational domain used the structured hexahedral grid. The details of the computational domain for the Phase VI blade and the WindPACT blade, as shown in Figure 2, can be seen Wang et al 44,45 The total number of grid nodes was approximately 4.35 Â 10 6 (the Phase VI blade) and 5.15 Â 10 6 (the WindPACT blade). For the Phase VI blade, the chordwise and spanwise directions were meshed 200 and 129 nodes, respectively.…”

Section: Methodsmentioning

confidence: 99%

Numerical optimization of horizontal-axis wind turbine blades with surrogate model

Wang

Jiang

Chao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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Wind energy is a widely used and developed the renewable energy, which has developed rapidly. At present, the design of the horizontal axis wind turbine blade mainly used Blade Element Momentum theory. In this paper, an optimization method of the wind turbine blade was proposed for improving the output power. The local twist angles of the blade were optimized. This method combined the surrogate model and the numerical simulation methods. The kriging surrogate model was selected and the next calibration point was chosen by the efficient global optimization algorithm. In this paper, the aerodynamic performances of the optimized blades were discussed in detail and obtained by the numerical simulation method. It was shown that the wind power coefficients and the output powers of the optimized blades were increased. The wind power coefficients of two optimized blades were increased by 4.83% and 3.44%, respectively. The optimized blades were able to capture more kinetic energy from the wind, but the optimized blades were subjected to a greater structural load. The thrust and torque coefficients maintained an increasing tendency for the optimized blades.

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“…Thus, the wind turbine drive torque, the pitch bending moment, and the yaw moment, and so on, will change accordingly. The wind speed spatiotemporal distribution characteristics directly affect the aerodynamic load resulting in load fluctuation of the WT [2][3][4]. Besides, it will also affect the power output of the wind turbine generator system (WTGS) [1,[5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Research on the Fault Characteristic of Wind Turbine Generator System Considering the Spatiotemporal Distribution of the Actual Wind Speed

et al. 2020

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A reliable fault monitoring system is one of the conditions that must be considered in the design of large wind farms today. The most important factor for the fault monitoring should be the accurate diagnosis criteria with sensitive fault characteristics. Most of the current fault diagnosis criteria are obtained based on the average wind speed at the center of the hub which is not in accord with the actual wind condition in nature. So, this paper utilizes an equivalent wind speed (EWS), which can describe the actual wind speed spatiotemporal distribution on the rotor disk area considering the effects of wind shear and tower shadow, to analyze the common mechanical and electrical faults again. Firstly, the EWS model applicable to the 3-blade wind turbines is introduced; then the new fault characteristics of the wind turbine rotor aerodynamic imbalance and the stator winding asymmetry are theoretically analyzed based on the EWS model; finally, the simulation platform is built in Matlab/Simulink for comparison and the simulation result is well consistent with the theory analysis. The aim of this research is to find more accurate fault characteristics and help promoting the healthy development of wind power industry.

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Numerical study of the effects of wind shear coefficients on the flow characteristics of the near wake of a wind turbine blade

Cited by 6 publications

References 21 publications

Power fluctuation and power loss of wind turbines due to wind shear and tower shadow

Power fluctuation and power loss of wind turbines due to wind shear and tower shadow

Numerical optimization of horizontal-axis wind turbine blades with surrogate model

Research on the Fault Characteristic of Wind Turbine Generator System Considering the Spatiotemporal Distribution of the Actual Wind Speed

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