An Assessment of Approximate Modeling of Aerodynamic Loads on the UAE Rotor

Eggers, A. J.; Chaney, K.; Digumarthi, R.

doi:10.2514/6.2003-868

Cited by 21 publications

(29 citation statements)

References 3 publications

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“…According the SWT-2.3-93 product brochure, 2 NACA63 series and FFA airfoils are used in the actual blade. We used members of those airfoil families in our turbine model, and the twodimensional lift and drag data were obtained from Bertagnolio et al 28 Using the National Renewable Energy Laboratory's (NREL) AirfoilPrep code, 29 the two-dimensional lift and drag data corresponding to stalled conditions were corrected for the fact that stall may be delayed on rotating blades using the methods of Du and Selig 30 and Eggers et al 31 AirfoilPrep was also used to apply Viterna and Janetzke's method 32 to extrapolate the data to a wider range of angles of attack. We also designed a simple torque controller similar to that of the NREL 5MW reference turbine model 33 that contains different control strategies for Regions 1, 1-1/2, 2, and 2-1/2.…”

Section: B Wind Plant Simulationmentioning

confidence: 99%

A Large-Eddy Simulation of Wind-Plant Aerodynamics

Churchfield

Lee

Moriarty

et al. 2012

50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

231

272

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In this work, we present results of a large-eddy simulation of the 48 multi-megawatt turbines composing the Lillgrund wind plant. Turbulent inflow wind is created by performing an atmospheric boundary layer precursor simulation, and turbines are modeled using a rotating, variable-speed actuator line representation. The motivation for this work is that few others have done large-eddy simulations of wind plants with a substantial number of turbines, and the methods for carrying out the simulations are varied. We wish to draw upon the strengths of the existing simulations and our growing atmospheric large-eddy simulation capability to create a sound methodology for performing this type of simulation. We used the OpenFOAM CFD toolbox to create our solver.The simulated time-averaged power production of the turbines in the plant agrees well with field observations, except with the sixth turbine and beyond in each wind-aligned. The power produced by each of those turbines is overpredicted by 25-40%. A direct comparison between simulated and field data is difficult because we simulate one wind direction with a speed and turbulence intensity characteristic of Lillgrund, but the field observations were taken over a year of varying conditions. The simulation shows the significant 60-70% decrease in the performance of the turbines behind the front row in this plant that has a spacing of 4.3 rotor diameters in this direction. The overall plant efficiency is well predicted. This work shows the importance of using local grid refinement to simultaneously capture the meter-scale details of the turbine wake and the kilometer-scale turbulent atmospheric structures. Although this work illustrates the power of large-eddy simulation in producing a time-accurate solution, it required about one million processor-hours, showing the significant cost of large-eddy simulation.

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Section: B Wind Plant Simulationmentioning

confidence: 99%

A Large-Eddy Simulation of Wind-Plant Aerodynamics

Churchfield

Lee

Moriarty

et al. 2012

50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

231

272

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“…50 To do this analysis, we use the airfoil design code RFOIL. 51,52 Then, the methods of Du and Selig 53 and Eggers et al 54 are used for the rotational stall delay. The drag coefficient is corrected using the method of Viterna and Janetzke.…”

Section: Aerodynamics and Structural Design Definitionmentioning

confidence: 99%

Aeroservoelastic design definition of a 20 MW common research wind turbine model

et al. 2016

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Wind turbine upscaling is motivated by the fact that larger machines can achieve lower levelized cost of energy. However, there are several fundamental issues with the design of such turbines, and there is little public data available for large wind turbine studies. To address this need, we develop a 20 MW common research wind turbine design that is available to the public. Multidisciplinary design optimization is used to define the aeroservoelastic design of the rotor and tower subject to the following constraints: blade‐tower clearance, structural stresses, modal frequencies, tip‐speed and fatigue damage at several sections of the tower and blade. For the blade, the design variables include blade length, twist and chord distribution, structural thicknesses distribution and rotor speed at the rated. The tower design variables are the height, and the diameter distribution in the vertical direction. For the other components, mass models are employed to capture their dynamic interactions. The associated cost of these components is obtained by using cost models. The design objective is to minimize the levelized cost of energy. The results of this research show the feasibility of a 20 MW wind turbine and provide a model with the corresponding data for wind energy researchers to use in the investigation of different aspects of wind turbine design and upscaling. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Researchers have also found through the use of parked blade data that the blade geometry has an impact on 3D aerodynamic effects. 2,12,13,[27][28][29] Ronsten 30 compared rotating and non-rotating blade data and found pronounced increases in the lift coefficient at inboard blade sections for both operating states. Gonzalez and Munduate 13 examined parked and rotating blade data for the NREL Phase VI rotor 31 and observed that the parked blade showed leading-edge separation at inboard locations, which delayed the onset of stall but did not contribute to an increase in lift force.…”

Section: Blade Rotational Effectsmentioning

confidence: 99%

“…Some models have been developed empirically from experimental data, [34][35][36] while others are rooted in theoretical analyses. 7,17,18,27,[37][38][39][40][41] Most contemporary stall delay models share a similar methodology for the correction of the 2D lift and drag coefficients described as…”

Section: Contemporary Stall Delay Modelsmentioning

confidence: 99%

A Solution-Based Stall Delay Model for Horizontal-Axis Wind Turbines

Dowler

Schmitz

2013

51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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This work proposes a new solution-based stall delay model to predict rotational effects on horizontal-axis wind turbines. In contrast to conventional stall delay models that correct sectional airfoil data prior to the solution to account for threedimensional and rotational effects, a novel approach is proposed that corrects sectional airfoil data during a blade element momentum solution algorithm by investigating solution-dependent parameters such as the spanwise circulation distribution and the local flow velocity acting at a section of blade. An iterative process is employed that successively modifies sectional lift and drag data until the blade circulation distribution is converged.

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An Assessment of Approximate Modeling of Aerodynamic Loads on the UAE Rotor

Cited by 21 publications

References 3 publications

A Large-Eddy Simulation of Wind-Plant Aerodynamics

A Large-Eddy Simulation of Wind-Plant Aerodynamics

Aeroservoelastic design definition of a 20 MW common research wind turbine model

A Solution-Based Stall Delay Model for Horizontal-Axis Wind Turbines

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