Unsteady Aerodynamics Experiment Phase V: Test Configuration and Available Data Campaigns

Hand, M.; Simms, D.; Fingersh, Lee; Jäger, D.; Cotrell, Jason

doi:10.2172/787980

Cited by 23 publications

(17 citation statements)

References 7 publications

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“…The availability of the test data on this geometry from the NASA Ames 80 × 120 ft wind tunnel (NASA Ames Research Center, Moffet Field, CA.) made this the ideal geometry to perform this study. This is a stall‐regulated, two‐bladed turbine, with 5.53 m radius and hub height of 12.2 m. We reproduce in our simulations the operating conditions at 7 m s − 1 free stream velocity, with an ambient turbulence intensity of 2% and a rotational speed for the blades of 72 rpm.…”

Section: Numerical Model Setup and Boundary Conditionsmentioning

confidence: 99%

Wind turbine performance in shear flow and in the wake of another turbine through high fidelity numerical simulations with moving mesh technique

Seydel

Aliseda

2012

Wind Energy

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We present numerical simulations of two horizontal axis wind turbines, one operating under the wake of the other, under an incoming sheared velocity profile. We use a moving mesh technique to represent the rotation of the turbine blades and solve the unsteady Reynolds averaged Navier-Stokes equations with a shear stress transport k ! turbulence model. Temporal evolution of the lift and drag coefficients of the front turbine show a phase shift in the periodic cycle due to the non-uniform incoming free stream velocity. Comparisons of the lift and drag coefficients for the back turbine with the unperturbed behaviour of the front demonstrate the complex non-linear interactions of the blades with the wake, with a significant decrease in overall performance and two peaks at specific points in the cycle associated with local angle of attack modification in the wake. The vorticity field in the near wake shows tilting of the vortex lines in the wake due to the shear and a faster diffusion of the tip vortical signature compared with the uniform free stream velocity case. Observations of the wake-wake interaction show good agreement with recent studies that use different methodologies.

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Section: Numerical Model Setup and Boundary Conditionsmentioning

confidence: 99%

Wind turbine performance in shear flow and in the wake of another turbine through high fidelity numerical simulations with moving mesh technique

Seydel

Aliseda

2012

Wind Energy

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“…Prandtl's tip loss correction is simple and efficient and also improves the accuracy in the predictions of induced velocity distribution. Based on the NavierStokes solutions, Xu and Sankar [9] proposed a correction of the Prandtl model, showing good agreement with the experimental data of the NREL Phase VI rotor [10].…”

Section: Tip Lossmentioning

confidence: 77%

State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling

Wang

Liu

Kolios

2016

Renewable and Sustainable Energy Reviews

157

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With the continuous increasing size and flexibility of large wind turbine blades, aeroelasticity has been becoming a significant subject for wind turbine blade design. There have been some examples of commercially developed wind turbines experiencing aeroelastic instability problems in the last decade, which spokes for the necessity of aeroelastic modelling of wind turbine blades.This paper presents the state-of-the-art aeroelastic modelling of wind turbine blades, provides a comprehensive review on the available models for aerodynamic, structural and cross-sectional analysis, discusses the advantages and disadvantages of these models, and outlines the current implementations in this field. This paper is written for both researchers new to this research field by summarising underlying theory whilst presenting a comprehensive review on the latest studies, and experts in this research field by providing a comprehensive list of relevant references in which the details of modelling approaches can be obtained.

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“…Data sets from field measurements on the Unsteady Aerodynamics Experiment (UAE) [1] Phase V test turbine were collected and organized according to the type of measurements taken, the turbine configuration, and the inflow conditions during measurement. The field measurements were then compared to measurements from the UAE NASA Ames dataset [2] conducted in the wind tunnel using similar mean wind speeds and the same turbine operating parameters.…”

Section: Methodsmentioning

confidence: 99%

Comparison Between Field Data and NASA Ames Wind Tunnel Data

Corbus¹

2005

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Unsteady Aerodynamics Experiment Phase V: Test Configuration and Available Data Campaigns

Cited by 23 publications

References 7 publications

Wind turbine performance in shear flow and in the wake of another turbine through high fidelity numerical simulations with moving mesh technique

Wind turbine performance in shear flow and in the wake of another turbine through high fidelity numerical simulations with moving mesh technique

State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling

Comparison Between Field Data and NASA Ames Wind Tunnel Data

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