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OC6 Phase Ia Nonlinear hydrodynamic loading validation dataset
**Overview**
Two validation campaigns were examined within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) Phase 1 project to examine the modeling tools' underprediction of loads and motion of a floating wind semisubmersible (semi) at...
Robertson, A. Wind Energy Technologies Office (WETO)
Aug 08, 2021
1 Resources
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Publicly accessible
1 Resources
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Publicly accessible
Additional Data Focused on Phase 1 Geared Toward Computational Fluid Dynamics (CFD) validation
**Overview**
A new validation campaign was developed within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) to better understand the complex interactions between components of a floating wind system (e.g., columns, pontoons, etc.) in ...
Robertson, A. Wind Energy Technologies Office (WETO)
Apr 08, 2021
1 Resources
0 Stars
Publicly accessible
1 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
1 Resources
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Publicly accessible
1 Resources
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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
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Publicly accessible
Lidar LMCT WTX WindTracer, Gordon Ridge Raw Data
**Overview**
Long-range scanning Doppler lidar located on Gordon Ridge. The WindTracer provides high-resolution, long-range lidar data for use in the WFIP2 program.
**Data Details**
The system is configured to take data in three different modes. All three modes take 15 minutes ...
Barr, K. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence F Raw Data
**Overview**
Sequence F: Downwind High Cone (F)
This test sequence used a downwind, rigid turbine with an 18° cone angle. The wind speed
ranged from 10 m/s to 20 m/s. Excessive inertial loading due to the high cone angle prevented
operation at lower wind speeds. Yaw angles of Â...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 27, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy
The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
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
0 Stars
Curated
5 Resources
0 Stars
Curated
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
8 Resources
0 Stars
Publicly accessible