Modeling of yawing and furling behavior of small wind turbines

Eggers, A. J.; Chaney, K.; Holley, W. E.; Ashley, Holt; Green, H.; Sencenbaugh, Jim

doi:10.2514/6.2000-20

Cited by 20 publications

(22 citation statements)

References 2 publications

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“…If there is an angle between the rotor axis and the wind direction, the aerodynamic force on the rotor can be divided into two components: the thrust force which acts in the direction of the rotor axis normal to the rotor plane ( cos V ); the side-force which acts in the direction of the component of the wind velocity vector in rotor plane ( ) [7]. sin V…”

Section: B Aerodynamic Force and Moment On Rotormentioning

confidence: 99%

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Analysis of the passive yaw mechanism of small horizontal-axis wind turbines

Wen-zhuan

Liu

et al. 2009

2009 World Non-Grid-Connected Wind Power and Energy Conference

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This paper analyzes passive yaw mechanisms for small, fixed-pitch, variable-speed wind turbines. There are several mechanisms which can provide passive yaw-control. This paper compares different passive yaw-control mechanisms by considering both their technical viabilities and costs. It is demonstrated that small wind turbines with a tilting tail hinge and an offset pivot axis are simpler and more economical than other passive yaw-control small wind turbines. Finally, the paper summarizes the working principles of the passive-yaw mechanisms for both wind direction tracking and over-speed protection under high winds, and presents the mathematical calculation of the back-position-torque, aerodynamic moment which indicates the torque balance throughout the working wind speed range.

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Section: B Aerodynamic Force and Moment On Rotormentioning

confidence: 99%

“…Much of the model that follows is a contextual summary of analytical modeling techniques evident in the literature [7][8][9].…”

Section: Analysis and Calculationmentioning

confidence: 99%

Analysis of the passive yaw mechanism of small horizontal-axis wind turbines

Wen-zhuan

Liu

et al. 2009

2009 World Non-Grid-Connected Wind Power and Energy Conference

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“…Statistical analysis showed that the 2 R value of the model was 99.8% and goodness of fit was less than 0.0001, which shows that the predicted model for p C with the fitted coefficients is acceptable. The resulting equation was found to be: The curve between wind speed and furling angle was derived from published data [6,7]. An approximate model was used to determine the relation between wind speed and furling angle and found that a fifth order model is sufficient to represent the relationship.…”

Section: Figure 1 Block Diagram Of the Wind Turbine Emulator Systemmentioning

confidence: 99%

“…Where, the ρ is air density; A is the rotor rotational area's is the power coefficient．The formula (7) shows that the rated power and rated wind speed is proportional to 3 times, it also related to the local density of the air, the wind area and power coefficient…”

Section: The Relationship Between the Rated Speed And Rated Powermentioning

confidence: 99%

Maximum Power Point Tracking from a Wind Turbine Emulator Using a DC-DC Converter Controlled

Yu¹,

Li²,

Cai³

2014

IJCA

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“…The curve between wind speed and furling angle is also derived from published data [22,23]. An approximate model is used to determine the relationship between wind speed and furling angle.…”

Section: Wind Turbine Modelmentioning

confidence: 99%

Development of an Isolated Small Wind Turbine Emulator

Arifujjaman¹

2011

TOREJ

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An isolated small wind turbine emulator based on a separately excited DC motor is developed to evaluate the performance of small wind turbine control strategies. The test rig consists of a 3HP separately excited DC motor coupled to a synchronous generator. A dump load is connected to the generator through a buck-boost converter controlled by a microcontroller. Wind turbine rotor and furling dynamics are incorporated in the emulator with the use of a PC based wind turbine model. Emulation of the wind turbine is achieved by running the DC motor to track the theoretical rotational speed of the wind turbine rotor. A dynamic maximum power controller is implemented and tested. The controller uses the wind speed and rotor speed information to control the duty cycle of the buck-boost converter in order to operate the wind turbine at the optimum tip speed ratio. Test results indicate that the proposed system accurately emulates the behavior of a small wind turbine system.

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Modeling of yawing and furling behavior of small wind turbines

Cited by 20 publications

References 2 publications

Analysis of the passive yaw mechanism of small horizontal-axis wind turbines

Analysis of the passive yaw mechanism of small horizontal-axis wind turbines

Maximum Power Point Tracking from a Wind Turbine Emulator Using a DC-DC Converter Controlled

Development of an Isolated Small Wind Turbine Emulator

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