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Site A4 PNNL Surface Met Station / Reviewed Data

**Overview** Low-speed weather information and high-speed sonic anemometer data at AWAKEN Site A4
Goldberger, L. Wind Energy Technologies Office (WETO)
Nov 23, 2021
1 Resources
0 Stars
Publicly accessible

PNNL MET #1 pre-campaign / Raw Data

**Overview** This dataset tests the data transfer and processing for a surface flux station, which includes low-speed weather information and high-speed sonic anemometer data.
Goldberger, L. Wind Energy Technologies Office (WETO)
Sep 22, 2015
1 Resources
0 Stars
Publicly accessible

DOE User Facilities and RD Equipment

This dataset contains information about hundreds of designated user-facilities and R&D equipment funded by the U.S. Department of Energy and accessible to the private sector. These facilities reside at DOE's
Honey, K. and (DOE), U. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

Lidar NOAA WindCube 200S Doppler Lidar (Dalek1) Raw Data

**Data Details** Dalek 1 (NOAA) Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150302 20150309 Erie High School: lat(40.047) lon(-105), alt(1582), 20150309 20150426 Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150426 20150601
Brewer, A. Wind Energy Technologies Office (WETO)
Jan 13, 2015
1 Resources
0 Stars
Publicly accessible

Sounding System UMBC Soundings Raw Data

**Overview** Sounding data from Watertank (site of NOAA's High Resolution Doppler Lidar) for comparison with microwave profilers. **Data Quality** Data quality based on RS92 Vaisala quality controls. Data wasa collected with a MW31 Vaisala DigiCORA Sounding System.
St.Pe, A. Wind Energy Technologies Office (WETO)
Apr 14, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek1) Derived Data

**Data Details** Dalek 1 (NOAA) Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150302 20150309 Erie High School: lat(40.047) lon(-105), alt(1582), 20150309 20150426 Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150426 20150601
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek1) Processed Data

**Data Details** Dalek 1 (NOAA) Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150302 20150309 Erie High School: lat(40.047) lon(-105), alt(1582), 20150309 20150426 Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150426 20150601
Brewer, A. Wind Energy Technologies Office (WETO)
Jan 13, 2015
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence H Raw Data

**Overview** Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind High Pitch (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of –30 to 180° were achieved at low wind speeds,...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence I Raw Data

**Overview** Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind High Pitch (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of –30° to 180° were achieved at low wind speed...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence J Raw Data

**Overview** Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind High Pitch (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of –30° to 180° were achieved at low wind speed...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

NREL GIS Data: Texas High Resolution Wind Resource

Annual average wind resource development potential for the state of Texas. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile is in a UTM zone 19,...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

North and South Dakota High Resolution 50m Wind Resource

Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Curated

Bouira University Digital Space

Description archive of our university and/or Remarks: The University of Bouira offers visitors from Bouira University Digital Space a free downloadable files (memories doctoral, master, master, courses in different technological and literary disciplines, proceedings of scientif...
Chettabi, . National Renewable Energy Laboratory
Jan 08, 2000
1 Resources
0 Stars
In curation

NREL Global Offshore Wind GIS Data

GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ). Wind resource based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation

United States New England Regional High Resolution Wind Resource

Annual average wind resource potential for the New England Region at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was gen...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

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 Pacific Northwest Regional High Resolution Wind Resource

Annual average wind resource potential of the northwestern United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Sup3rWind Data (CONUS)

This data contains paired European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5) and the Wind Integration National Dataset Toolkit (WTK) images for 2007 and 2010 over two regions in the US, with domain sizes ~800x800 (latitudes from 25.89 to 41.58, and long...
Sinha, S. et al National Renewable Energy Lab NREL
Jul 16, 2024
6 Resources
0 Stars
Curated

ARPA-E PERFORM datasets

Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021....
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Aug 18, 2022
3 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence G Raw Data

**Overview** Sequence G: Upwind Teetered (F) Test sequence G used an upwind, teetered turbine with a 0° cone angle. The wind speeds ranged from 5 m/s to 25 m/s. Yaw angles of ±180° were achieved at low wind speeds and angles of ±10° were achieved at the high wind speeds. Th...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

Buoy California Wind Sentinel (130), Morro Bay Processed Data

**Overview** The purpose of the dataset is to provide preliminary filtered, averaged buoy data and standardize the data format of various data streams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted o...
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Jan 04, 1980
1 Resources
0 Stars
Publicly accessible

U.S. Gulf of Mexico Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation

U.S. Hawaii Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation

U.S. Pacific Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible
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