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Wind Turbine Road Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from roads based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from a road that an energy project may be developed, and these varied widely across the counties in which they exis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Wind Turbine Structure Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from structures based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from a structure that an energy project may be developed, and these varied widely across the counties in which...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Wind Turbine Transmission Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from transmission based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from transmission infrastructure that an energy project may be developed, and these varied widely across the...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 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
Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Reviewed Data
**Overview**
Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.
**Data Details**
T/RH events history is available in the attached Excel file:
*PS01-TRH-3m
*PS01-TRH-10m
*PS02...
Otarola-Bustos, S. and Fernando, J. Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Buoy California Wind Sentinel (130), Morro Bay Processed Data
**Overview**
The purpose of the dataset is to provide preliminary filtered, averaged buoy data and standardize the data format of various data streams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted o...
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Jan 04, 1980
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Annual Average Modeled Wind Speed for Puerto Rico and the Virgin Islands at a 100 Meter Hub Height
This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Annual Average Modeled Wind Speed (m/s) for Puerto Rico and the Virgin Islands at a 70 Meter Hub Height.
This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Lidar Massachusetts Leosphere Windcube 866 (120) Raw Data
**Overview**
This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020.
The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below.
**Data Deta...
Newsom, R. et al Wind Energy Technologies Office (WETO)
Dec 01, 2019
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar Massachusetts Leosphere Windcube 866 (130) Raw Data
**Overview**
This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020.
The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below.
**Data Deta...
Newsom, R. et al Wind Energy Technologies Office (WETO)
Dec 10, 2019
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence 6 Raw Data
**Overview**
Sequence 6: Shroud Wake Measure (P)
This test sequence 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 ci...
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 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
1 Resources
0 Stars
Publicly accessible
Sodar Cleburne, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .dat files from the Cleburne, TX 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 resour...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 17, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Ozona, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .dat files from the Ozona, TX 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 resource ...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 17, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sodar Reagan, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .dat files from the Reagan, TX 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 resource...
Sheridan, L. Wind Energy Technologies Office (WETO)
Aug 03, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar HilFlowS LLNL ZephIR300 MOP Processed Data
**Overview**
The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar HilFlowS LLNL ZephIR300 WOP Processed Data
**Overview**
The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
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
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.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