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Wind Energy×

Camera / Raw 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)
Sep 10, 2019
1 Resources
0 Stars
Publicly accessible

Observation-Based Wind Dataset with Copula-based Bias Correction and Multi-Model Fusion at 23 U.S. Locations

The Observation-Based Wind Dataset provides hourly wind speed data from 2015-2020 at 23 geographically diverse locations across the United States. The dataset includes original physics-based model outputs, bias-corrected model outputs, and an integrated probabilistic wind product ...
Zhang, W. et al National Laboratory of the Rockies (NLR)
Jun 15, 2026
23 Resources
0 Stars
In progress

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
1 Resources
0 Stars
Publicly accessible

WEC-Sim Wave Energy Converter Simulator

WEC-Sim (Wave Energy Converter SIMulator) is an open-source wave energy converter (WEC) simulation tool. The code is developed in MATLAB/SIMULINK using the multi-body dynamics solver SimMechanics. WEC-Sim has the ability to model devices that are comprised of rigid bodies, powe...
Lawson, M. et al National Renewable Energy Laboratory
Mar 15, 2016
1 Resources
0 Stars
Publicly accessible

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
8 Resources
0 Stars
Publicly accessible
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