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"Machine Learning for in-situ stress"×
Wind Energy×

Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D01)

**Overview** The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 19, 2016
1 Resources
0 Stars
Publicly accessible

Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D02)

**Overview** The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 19, 2016
1 Resources
0 Stars
Publicly accessible

Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D01)

**Overview** The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 15, 2016
1 Resources
0 Stars
Publicly accessible

Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D02)

**Overview** The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...
Liu, Y. Wind Energy Technologies Office (WETO)
Aug 15, 2016
1 Resources
0 Stars
Publicly accessible

Next Generation Weather Radar (NEXRAD) Radar Line-of-Sight

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents a line-of-sight for each radar station. Radar line-of-...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Publicly accessible

Renewable Electricity Futures Study Volume One

This is part of a series of four volumes describing exploring a high-penetration renewable electricity future for the United States of America. This dataset is provides data for the entire volume one document and includes all data for the charts and graphs included in the document.
Hand, M. et al National Renewable Energy Laboratory
Jan 19, 2016
3 Resources
0 Stars
Publicly accessible

Distributed Generation Market Demand (dGen) model

The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...
Stanley, T. et al National Renewable Energy Laboratory (NREL)
Oct 16, 2020
4 Resources
1 Stars
Publicly accessible

Lidar ND Halo Scanning Doppler, Boardman Raw Data

**Overview** The University of Notre Dame (ND) scanning lidar dataset used for the WFIP2 Campaign is provided. The raw dataset contains the radial velocity and backscatter measurements along with the beam location and other lidar parameters in the header. **Data Details** 1) ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
Publicly accessible

Wind Turbine Sound Setbacks: Ordinances (2024) and Extrapolated Trends, 115 Hub Height, 170 Rotor Diameter

This dataset provides a comprehensive assessment of wind turbine sound setbacks for all residential structures across the contiguous United States (CONUS). A sound setback is defined as the minimum distance required between a residential structure and a hypothetical turbine instal...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Sep 09, 2025
4 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence S Raw Data

**Overview** Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F); Upwind 4° 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 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence T Raw Data

**Overview** Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F); Upwind 4° 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 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence U Raw Data

**Overview** Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F); Upwind 4° 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 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

Next Generation Weather Radar (NEXRAD) Setback (4-km)

The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents 4-kilometer setback requirements typically applied to ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Publicly accessible

Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies

This dataset provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions...
Macknick, J. et al National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible

Sodar St. James, MN Processed Data

**Overview** This dataset was produced from the raw sodar .wtb files from the St. James, MN site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind reso...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 27, 2011
1 Resources
0 Stars
Publicly accessible

Ridgelines: Department of Interior Definition

This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Publicly accessible

Ceilometer ND Ceilometer, Wasco Airport Raw Data

**Overview** Measurements of cloud base height and vertical visibility using pulsed infrared (910 nm) diode laser LIDAR technology. The instrument can detect up to three cloud layers simultaneously. **Data Details** Measurements taken in the standard measuring mode, where the C...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Jan 14, 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

2016 Annual Technology Baseline

Current and future cost and performance data for electricity generating technologies, including both renewable and conventional technologies.
Hand, M. et al National Renewable Energy Laboratory
Sep 12, 2016
3 Resources
0 Stars
Publicly accessible

Future Wind Energy Resources and Cost Uncertainties Across the United States

This dataset contains results estimating projections of change of annual capacity factors and levelized cost of energy for several turbine technologies in the 2024 Annual Technology Baseline (ATB). Projections of change are based on downscaled earth system model (ESM) data from Su...
Buster, G. et al National Renewable Energy Lab (NREL)
Nov 03, 2025
8 Resources
0 Stars
Publicly accessible

Reference Site Condition Datasets for Floating Wind Arrays in the United States

Floating offshore wind farm design is highly site-specific, requiring detailed information about the specific conditions of a project area for realistic design studies. Unfortunately, publicly available site condition data for potential floating offshore wind project sites in the ...
Biglu, M. et al National Renewable Energy Laboratory
Aug 02, 2024
4 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON1 Raw Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 07, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON6 Raw Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...
Stoelinga, M. Wind Energy Technologies Office (WETO)
Sep 07, 2015
1 Resources
0 Stars
Publicly accessible
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