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Texas Tech Building Wake Field Experiment, Reese Technology Center / Averaged Data

**Overview** This dataset contains sonic anemometer measurements around a building the size of a typical suburb home located at Texas Tech's Reese Technology Center. These data are intended to validate computer models. **Data Details** Stations 1-22 are sonic anemometers at a h...

Nelson, M. and Pol, S. Wind Energy Technologies Office (WETO)

May 06, 2021
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Reviewed Data

**Overview** Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data. **Data Details** T/RH events history is available in the attached Excel file: *PS01-TRH-3m *PS01-TRH-10m *PS02...

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Reviewed Data

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Reviewed Data

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Reviewed Data

Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements

The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...

Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)

May 04, 2021
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Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets

This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...

Ramos, D. et al National Renewable Energy Laboratory

Feb 12, 2021
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Texas Tech Building Wake Field Experiment, Reese Technology Center / Averaged Data

Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Reviewed Data

Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Reviewed Data

Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Reviewed Data

Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Reviewed Data

INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements

Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets