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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
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3 Resources
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SWERA: Solar and Wind Energy Resource Assessment
The Solar and Wind Energy Resource Assessment (SWERA) Programme was a collaboration of worldwide partners with a mission to provide information on renewable energy resources for countries and regions around the world. Funding and support for the SWERA Programme concluded in 2011, ...
Langle, N. National Renewable Energy Laboratory
Dec 21, 2017
2 Resources
0 Stars
In curation
2 Resources
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In curation
UAE6 Wind Tunnel Tests Data UAE6 Sequence V Raw Data
**Overview**
Sequence V: Tip Plate (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, and the yaw angle was held at 0°. The blade pitch angle was 3°. The rotor
rotated at 72 RPM. Blade pressure measurements w...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence W Raw Data
**Overview**
Sequence W: Extended Blade (F)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 21 m/s, and the yaw angle was held at 0°. The blade pitch angle was 3°. The rotor
rotated at 72 RPM. Blade pressure measureme...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 11, 2018
1 Resources
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1 Resources
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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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1 Resources
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OC6 Phase Ia Nonlinear hydrodynamic loading validation dataset
**Overview**
Two validation campaigns were examined within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) Phase 1 project to examine the modeling tools' underprediction of loads and motion of a floating wind semisubmersible (semi) at...
Robertson, A. Wind Energy Technologies Office (WETO)
Aug 08, 2021
1 Resources
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1 Resources
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Renewable Electricity Futures Study Volume One
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 data set is provides data for the entire volume one document and includes all data f...
Hand. . et al National Renewable Energy Laboratory
Jan 19, 2016
3 Resources
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3 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Raw Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Reviewed Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Derived Data
**Overview**
This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging).
**Data Details**
Each meteorological station had one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (w...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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1 Resources
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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
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1 Resources
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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
1 Resources
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In curation
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
1 Resources
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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
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1 Resources
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dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents
Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.
Stanley. . et al National Renewable Energy Laboratory
Aug 10, 2021
1 Resources
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1 Resources
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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
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1 Resources
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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
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1 Resources
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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
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1 Resources
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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
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1 Resources
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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
1 Resources
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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
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1 Resources
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University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy
The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
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5 Resources
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Tower TTU (SWiFT) Tower, All levels Processed Data
**Overview**
This dataset includes processed sonic anemometer measurements at the 200-m SWIFT tower near Lubbock, Texas on July 4, 2012. Observations are of a canonical convective atmospheric boundary layer. Subgrid stresses and fluxes are computed by subtracting 15-min running a...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
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1 Resources
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G2Aero Database of Airfoils Curated Airfoils
This dataset contains a curated set of 19,164 airfoil shapes from various applications and the data-driven design space of separable shape tensors (PGA space), which can be used as a parameter space for machine-learning applications focused on airfoil shapes.
We constructed the a...
Doronina, O. et al National Renewable Energy Lab NREL
Sep 24, 2024
3 Resources
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3 Resources
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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
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4 Resources
1 Stars
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