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"ESRL Wind Profiler with RASS Troutdale"×

Utah High Resolution Wind Resource

Annual average wind resource potential for the state of Utah, 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 shapefi...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Vermont High Resolution Wind Resource

Annual average wind resource potential for the state of Vermont 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 was gener...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

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

New York High Resolution Wind Resource

Annual average wind resource potential for New York 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 was generated from a...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Wind Integration National Dataset (WIND) Toolkit

Wind resource data for North America was produced using the Weather Research and Forecasting Model (WRF). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km. Thre...
Maclaurin, G. et al National Renewable Energy Laboratory
Sep 26, 2014
6 Resources
1 Stars
Publicly accessible

Bias Corrected HRRR Wind Resource Data for Grid Integration Applications

Many weather years of high-quality wind data are widely accepted in the grid integration community to be important for studying wind energy technical potential, energy system operations, and grid resilience. NREL makes high-quality wind and solar resource data available. NREL's G...
Pinchuk, P. et al The National Renewable Energy Lab (NREL)
Oct 15, 2024
5 Resources
0 Stars
In progress

UAE6 Wind Tunnel Tests Data UAE6 Sequence 5 Raw Data

**Overview** Sequence 5: Sweep Wind Speed (F,P) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed was ramped from 5 m/s to 25 m/s by the wind tunnel operator. This was repeated with a decreasing ramp. The yaw angle was maintained at 0°. The ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 11, 2018
1 Resources
0 Stars
Publicly accessible

Sodar PNNL Scintec MFAS, Oregon Raceway Park Reviewed Data

**Overview** These data provide measurements of wind speed and direction up to 400 m above ground level (AGL) (max). The data are stored in two forms: ASCII and raw (binary). ASCII files contain averaged data (currently: 15 min time step and 10 m range gate). Raw files can be rep...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Oct 07, 2015
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

NREL GIS Data: California Wind High Resolution

Abstract: Annual average wind resource potential of California at a 50 meter height.

Purpose: Provide information on the wind resource development potential within California.

Supplemental_Information: This data set was produced by Tru...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

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

NREL GIS Data: Connecticut Wind High Resolution

Abstract: Annual average wind resource potential for the state of Connecticut at a 50 meter height.

Purpose: Provide information on the wind resource development potential within the state of Connecticut.

Supplemental_Information: This...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 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

UAE6 Wind Tunnel Tests Data UAE6 Sequence 3 Raw Data

**Overview** Sequence 3: Tower Wake Measure (P) Sequence 3 used a downwind, rigid turbine with a 3.4° cone angle. The wind speeds for this sequence corresponded to subcritical [7 m/s], transitional [15 m/s], and supercritical [20 m/s] Reynolds number regimes for the circular cr...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

Wind Energy Resource Data

NREL's Geographic Information System (GIS) team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and i...
Webmaster, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

United States Land-based Wind Supply Curves 2023

This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE...
GDS, N. National Renewable Energy Laboratory
Jun 30, 2023
13 Resources
0 Stars
Curated

U.S. Wind Siting Regulation and Zoning Ordinances

A machine readable collection of documented wind siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled from several sources including, DOE's Wind Exchange Ordinance Database (Linked in the submission), National...
Lopez, A. et al National Renewable Energy Laboratory
Jun 30, 2022
5 Resources
1 Stars
Curated

NREL GIS Data: Maine High Resolution Wind Resource

Abstract: Annual average wind resource potential for the state of Maine at a 50 meter height.

Purpose: Provide information on the wind resource development potential within the state of Maine.

Supplemental_Information: This data set ha...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

wfip2.model/retro.hrrr.01.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.hrrr.01.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.hrrr.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.hrrr.02.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.rap.01.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.rap.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible
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