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Office of Science (Department of Energy) User Facilities

The Office of Science national scientific user facilities provide researchers with the most advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and...

Honey, K. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
2 Resources
0 Stars
In curation

EERE Energy Analysis Data and Tools

On this website, energy analysts and policymakers can access energy analysis products, including published analyses, energy data and maps, and analysis tools from EERE and the broader DOE-supported energy analysis community. While the website provides links to important energy ana...

Ma, S. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
1 Resources
0 Stars
In curation

NWTC Ceilometer (1) Pre-campaign / Derived Data

**Overview** This instrument will be testing the data transfer process before deploying the campaign. The netCDF L3 data file has level 3 (L3) data that have gone through the calculation service and contains all the data from the algorithms, including mixing layer height values ...

Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)

Sep 20, 2018
1 Resources
0 Stars
Publicly accessible

Federal Energy and Manufacturing Workforce Training Programs

The National Science Foundation, the Department of Labor and the Department of Energy have programs that support training for jobs in energy and manufacturing related workforce training programs. This dataset provides a searchable list of the training programs in these areas showi...

Silverman, L. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
2 Resources
0 Stars
In curation

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

Wind Turbine / Reviewed Data

Scholbrock, A. Wind Energy Technologies Office (WETO)

Oct 04, 2019
1 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Airfoil Computational Fluid Dynamics 9k shapes, 2 AoA's

This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 8,996 airfoil shapes, computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes ...

Ramos, D. et al National Renewable Energy Laboratory (NREL)

Feb 10, 2023
3 Resources
0 Stars
Publicly accessible

Airfoil Computational Fluid Dynamics 2k shapes, 25 AoA's, 3 Re numbers

This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 1,830 airfoil shapes computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes w...

Ramos, D. et al National Renewable Energy Laboratory (NREL)

Feb 10, 2023
3 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