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Texas Tech Building Wake Field Experiment, Reese Technology Center / Averaged Data

**Overview** This dataset contains sonic anemometer measurements around a building the size of a typical suburb home located at Texas Tech's Reese Technology Center. These data are intended to validate computer models. **Data Details** Stations 1-22 are sonic anemometers at a h...

Nelson, M. and Pol, S. Wind Energy Technologies Office (WETO)

May 06, 2021
1 Resources
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Radar TTU Ka-band, ka1 Raw Data

**Overview** The metadata for each TTUKa1 deployment can be found in the attached spreadsheet.

Gunter, S. Wind Energy Technologies Office (WETO)

Mar 03, 2015
1 Resources
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Radar TTU Ka-band, ka2 Raw Data

**Overview** The metadata for the TTUKa2 XPIA deployments are included in the attached text file.

Gunter, S. Wind Energy Technologies Office (WETO)

Mar 03, 2015
1 Resources
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Radar TTU radar Raw Data

**Overview** This dataset coincides with a selected atmospheric case from the 200-m meteorological tower data. **Data Details** These data have been provided by Texas Tech University, from their boundary layer radar profiler. **Data Quality** These data have been acquired in ...

Ennis, B. Wind Energy Technologies Office (WETO)

Nov 07, 2013
1 Resources
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Tower TTU (SWiFT) Tower, All levels Raw Data

**Overview** This dataset includes a diurnal cycle with a consistent Convective-Neutral-Stable overnight transition after a frontal passage. **Data Details** These data have been provided by Texas Tech University from their 200-m meteorological tower. **Data Quality** See rep...

Ennis, B. Wind Energy Technologies Office (WETO)

Nov 07, 2013
1 Resources
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United States Mid-Atlantic Regional High Resolution Wind Resource

Annual average wind resource potential of the mid-Atlantic United States at a 50 meter height. States included are: Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia and the District of Columbia. This data set has been validated by NREL a...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
In curation

United States Renewable Energy Technical Potential

Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints. The primary benefit of assessing technical potential...

Lopez, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

Energy Innovation Portal

About the Energy Innovation Portal. The Energy Innovation Portal is a one-stop resource for Department of Energy (DOE) Energy Efficiency and Renewable Energy (EERE) technologies. This application enables users to locate technologies developed with DOE funding and available for lic...

Webmaster, . and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

Irradiation Data from NREL'S MDIC Stations

The Measurement and Instrumentation Data Center (MIDC) provides Irradiance and Meteorological Data from these stations: NREL Solar Radiation Research Lab, BSRN Prototype Station, Atmospheric Optical Calibration System, TSR-1, RSR Version 2, RSR Version 1, National Wind Technology...

Afshin, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

U.S. Wind Siting Regulation and Zoning Ordinances

A collection of documented wind siting ordinances at the state, county, township, and local level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (https://windexchange.energy.gov/policies-incentives), Nati...

Lopez, A. et al National Renewable Energy Laboratory (NREL)

Sep 25, 2019
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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
8 Resources
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