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Alaska's RE Grant Recommendation Program (2008): Location and General Information
In 2008, the Alaska legislature established the Renewable Energy (RE) Grant Recommendation Program. The Alaska Energy Authority (AEA) solicited for competitive applications between September and November 2008 from qualified applicants for the purpose of recommending grants for RE ...
Hallett, K. and AEDI, A. National Renewable Energy Laboratory
Dec 31, 2009
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Lidar ESRL WindCube 200s, Arlington Airport Reviewed Data
**Overview**
The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files.
For those with any further questions about the data and its interpretation, contact either Alan Brewer (
Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)
Aug 31, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar ESRL WindCube 200s, Wasco Airport Reviewed Data
**Overview**
The available "Readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files.
For those with any further questions about the data and its interpretation, contact either Alan Brewer (
Baidar, S. and Brewer, A. Wind Energy Technologies Office (WETO)
Aug 31, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NWTC Ceilometer (1) Pre-campaign / Derived Data
**Overview**
This instrument will be testing the data transfer process before deploying the campaign.
The netCDF L3 data file has level 3 (L3) data that have gone through the calculation service and contains all the data from the algorithms, including mixing layer height values ...
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
2020 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
Starting in 2015 NREL has presented the Annual Technology Baseline (ATB) in an Excel workbook that contains detailed cost and performance data, both current and projected, for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This up...
Akar. . et al National Renewable Energy Laboratory
Jul 28, 2020
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Reviewed Data
**Overview**
These data provide vertical mean profiles of wind and direction (30 min time step and 10 m range gate).
**Data Details**
Data averaged over an interval of 30 minutes.
Wind Direction is from Geographic North.
Time stamp is included in each data file.
Location: Jo...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Wind Resources by Class and Country At 50m
These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (Unite...
Heimiller, D. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Lidar ND Halo Scanning Doppler, Boardman Derived Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
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Publicly accessible
1 Resources
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Publicly accessible
Lidar ND Halo Scanning Doppler, Boardman Processed Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
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1 Resources
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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
2 Stars
Publicly accessible
5 Resources
2 Stars
Publicly accessible
Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind)
The Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind) data is a collection of high-resolution historical wind, temperature, humidity, and pressure fields. Sup3rWind data is produced by downscaling ECMWF Reanalysis Version 5 data (ERA5) to 2-...
Benton, B. et al National Renewable Energy Lab (NREL)
Mar 11, 2024
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Lidar ND Halo Scanning Doppler, Boardman Reviewed Data
**Overview**
The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR.
**It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 12, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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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
6 Resources
1 Stars
Publicly accessible
6 Resources
1 Stars
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Additional Data Focused on Phase 1 Geared Toward Computational Fluid Dynamics (CFD) validation
**Overview**
A new validation campaign was developed within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) to better understand the complex interactions between components of a floating wind system (e.g., columns, pontoons, etc.) in ...
Robertson, A. Wind Energy Technologies Office (WETO)
Apr 08, 2021
1 Resources
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1 Resources
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Land of Opportunity: Geothermal, Land-based Wind, and Solar PV Potential on Federal Lands
This data packet contains supply curves and a composite siting exclusion TIFF for geothermal, land-based wind, and solar PV across the contiguous United States with specific consideration on federal lands. The supply curves offer comprehensive metrics such as capacity (MW) for eac...
Geospatial, N. National Renewable Energy Laboratory
Jan 01, 2025
28 Resources
0 Stars
Publicly accessible
28 Resources
0 Stars
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Event-correlated Outage Dataset in America
This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report ...
She, B. et al Pacific Northwest National Laboratory
Oct 01, 2024
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Raw Data
**Overview**
The data provide vertical mean profiles of wind and temperature.
**Data Details**
* Data averaged over an interval of 30 minutes.
* Time stamp is included in each data file.
* Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751).
* Site Elevat...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
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1 Resources
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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
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3 Resources
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California Quality-controlled Reanalysis and Observational Data for Buoy (120), Humboldt / Derived Data
**Overview**
This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate ...
Sheridan, L. Wind Energy Technologies Office (WETO)
Sep 30, 2020
1 Resources
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1 Resources
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California Quality-Controlled Reanalysis and Observational Data for Buoy (130), Morro Bay / Derived Data
**Overview**
This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate ...
Sheridan, L. Wind Energy Technologies Office (WETO)
Sep 30, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
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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
1 Resources
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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
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
1 Resources
0 Stars
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UAE6 Wind Tunnel Tests Data UAE6 Sequence M Raw Data
**Overview**
Sequence M: Transition Fixed (P)
Test sequence M used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from
5 m/s to 15 m/s. Yaw angles ranged from 0° to 90°. The blade tip pitch was 3°. The rotor rotated
at 72 RPM. Blade pressure measurement...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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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
0 Stars
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