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UAE6 Wind Tunnel Tests Data UAE6 Sequence E Raw Data

**Overview** Sequence E: Yaw Releases (P) This test sequence used a downwind, rigid turbine with a 3.4° cone angle. The wind speeds ranged from 7 m/s to 17 m/s. Initial yaw angles of ±90° were achieved. The blade tip pitch was 3°. The rotor rotated at 72 RPM. Blade and probe...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 27, 2018
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UAE6 Wind Tunnel Tests Data UAE6 Sequence R Raw Data

**Overview** Sequence R: Step AOA, No Probes (P) This sequence was designed to quantify the effect of the five-hole probes on the 3-D blade static angle-of-attack response in the presence of rotational influences by repeating Sequence K without five-hole probes. This test sequen...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
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Wind Turbine / Reviewed Data

**Overview** The SUMR-D CART2 turbine data are recorded by the CART2 wind turbine's supervisory control and data acquisition (SCADA) system for the Advanced Research Projects Agency–Energy (ARPA-E) SUMR-D project located at the National Renewable Energy Laboratory (NREL) Flatir...

Scholbrock, A. Wind Energy Technologies Office (WETO)

Oct 04, 2019
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Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...

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

Apr 19, 2023
7 Resources
2 Stars
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Gearbox Reliability Collaborative Phase 3 Gearbox 3 Test

The GRC uses a combined gearbox testing, modeling, and analysis approach disseminating data and results to the industry and facilitating improvement of gearbox reliability. This test data describes the tests of GRC gearbox 3 in the National Wind Technology Center dynamometer and d...

Keller and WallenNational Renewable Energy Laboratory

Dec 21, 2016
18 Resources
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Develop and verify soil/structure interaction for pile/foundation interaction

**Overview** Phase II of the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) project was used to verify the implementation of a new soil-structure interaction (SSI) model for use within offshore wind turbine modeling software. The REDWIN...

Robertson, A. Wind Energy Technologies Office (WETO)

Jun 02, 2022
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Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data

This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183 These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the...

Gagnon. . et al National Renewable Energy Laboratory

Aug 12, 2021
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Visual Impact Assessment of the Existing Land-based Wind Turbine Fleet of the Contiguous United States

This data submission contains GIS raster datasets mapping the visual impacts of the land-based wind turbine fleet in the Contiguous United States (CONUS). Two datasets are included, each presenting a different quantification of visual impacts: 1. Cumulative visual magnitude, meas...

Gleason, M. et al National Renewable Energy Lab

Mar 19, 2024
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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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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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