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Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
This dataset contains turbine and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs were computed using the Gaussian wake model in NREL's FLOw Redirection and Induction in ...
Ramos, D. et al National Renewable Energy Laboratory
Feb 12, 2021
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
NREL National Wind Technology Center (NWTC): M2 Tower; Boulder, Colorado (Data)
The National Wind Technology Center (NWTC), located at the foot of the Rocky Mountains near Boulder, Colorado, is a world-class research facility managed by NREL for the U.S. Department of Energy. NWTC researchers work with members of the wind energy industry to advance wind power...
Jager and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence N Raw Data
**Overview**
Sequence N: Sin AOA, Rotating (P)
This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the
presence of rotational influences by varying blade pitch angle. Test sequence N used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
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
Publicly accessible
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
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
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
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
1 Resources
0 Stars
Publicly accessible
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
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
1 Resources
0 Stars
Publicly accessible
County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly ...
Cole, W. et al National Renewable Energy Laboratory (NREL)
Aug 01, 2023
5 Resources
2 Stars
Publicly accessible
5 Resources
2 Stars
Publicly accessible
Wind Resources in Alaska
Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...
AEDI, A. National Renewable Energy Laboratory
Dec 31, 2006
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
Log Project Event Log & Common Case Study Set Raw Data
**Overview**
This is the WFIP2 event log covering all sites and instruments for the entire project duration.
Final Event Log and Common Case Study Set
Additional details may be added here.
Sharp, J. et al Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence O Raw Data
**Overview**
Sequence O: Sin AOA, Parked (P)
This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the
absence of rotational influences by varying blade pitch angle. This test sequence used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 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
0 Stars
Publicly accessible
Radar ESRL Wind Profiler with RASS, Prineville Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Aug 09, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ESRL Wind Profiler with RASS, Condon Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 29, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ESRL Wind Profiler with RASS, Troutdale Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 21, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ESRL Wind Profiler with RASS, Wasco Airport Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 30, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler with RASS, Yakima Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Mar 17, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler, Walla Walla Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Apr 05, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ARL Wind Profilerwith RASS, Boardman Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Sep 29, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Radar ANL Wind Profiler with RASS, Goldendale Reviewed Data
**Overview**
Wind Profiler with Radio Acoustic Sounding System (RASS) data.
**Data Quality**
Automatic quality control (QC) followed by visual manual QC.
Wilczak, J. Wind Energy Technologies Office (WETO)
Jul 11, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible