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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
1 Resources
0 Stars
Publicly accessible
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
23 Resources
0 Stars
In progress
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis NLR Historical Wind
The U.S. Department of Energy and the National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis from variable sources, hydrogen compression and storage, and hydrogen fuel cell power production using megawatt-scale equipment at NLR’s Flatirons Campus as par...
Abel, R. et al National Laboratory of the Rockies
Mar 23, 2026
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis – Simulated Wind
The U.S. Department of Energy and the National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis, hydrogen compression and storage, and variable hydrogen fuel cell power production using megawatt-scale equipment at NLR’s Flatirons Campus as part of the Advanced R...
Abel, R. et al National Laboratory of the Rockies
Dec 12, 2025
15 Resources
0 Stars
Publicly accessible
15 Resources
0 Stars
Publicly accessible
Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets
Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibrat...
Sheng, S. National Renewable Energy Laboratory
Mar 28, 2014
5 Resources
2 Stars
Publicly accessible
5 Resources
2 Stars
Publicly accessible