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"The measurement of depth of water in oceans seas or lakes"×
Wind Energy×

Utah High Resolution Wind Resource

Annual average wind resource potential for the state of Utah, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefi...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Rhode Island High Resolution Wind Resource

Annual average wind resource potential for the state of Rhode Island at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Vermont High Resolution Wind Resource

Annual average wind resource potential for the state of Vermont at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gener...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Ohio High Resolution Wind Resource

Annual average wind resource potential for the state of Ohio at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was generat...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Oklahoma High Resolution Wind Resource

Annual average wind resource potential for the state of Oklahoma at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gene...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

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

U.S. Voluntary Green Power Market Data 2018

This data book provides certain data behind figures and tables found in the NREL presentation Status and Trends in the U.S. Voluntary Green Power Market 2018 Data. These data reflect estimates based on the best available data.
Heeter and O'ShaughnessyNational Renewable Energy Laboratory
Oct 03, 2019
1 Resources
0 Stars
Publicly accessible

U.S. Voluntary Green Power Market Data 2017

This data book provides certain data behind figures and tables found in the NREL report Status and Trends in the U.S. Voluntary Green Power Market 2017 Data. These data reflect estimates based on the best available data.
O'Shaughnessy. . et al National Renewable Energy Laboratory
Oct 01, 2018
1 Resources
0 Stars
Publicly accessible

Lidar DTU SpinnerLidar Reviewed Data

**Overview** Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m). **...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
0 Stars
Publicly accessible

Wind Turbine SWiFT southeast WTGa1 Reviewed Data

**Overview** Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m). **...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
0 Stars
Publicly accessible

Surface Meteorological Station SWiFT southwest METa1 Reviewed Data

**Overview** Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m). **...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
0 Stars
Publicly accessible

Buoy Massachusetts Wind Sentinel (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. Data collected from buoy instruments are contained in two files labeled “primary” and secondary.” Header information for t...
Pekour, M. and Gorton, A. Wind Energy Technologies Office (WETO)
Nov 30, 2019
1 Resources
0 Stars
Publicly accessible

Buoy Massachusetts Wind Sentinel (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. Data collected from buoy instruments are contained in two files labeled “primary” and secondary.” Header information for t...
Pekour, M. and Gorton, A. Wind Energy Technologies Office (WETO)
Dec 10, 2019
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

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

Radar TTU Ka-band, ka2 Raw Data

**Overview** The metadata for the TTUKa2 XPIA deployments are included in the attached text file.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
0 Stars
Publicly accessible

Radar TTU Ka-band, ka1 Raw Data

**Overview** The metadata for each TTUKa1 deployment can be found in the attached spreadsheet.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
0 Stars
Publicly accessible

TURKEY’S ENERGY FUTURE A LEAP SIMULATION AND ANALYSIS

A LEAP based analysis of the current energy system of Turkey, as well as four future scenarios, including evaluation and comparison of the effects of different policies on energy security, prices and emissions
Boudier, V. National Renewable Energy Laboratory
Jan 09, 2017
1 Resources
0 Stars
In curation

Equitable Energy Investment Prioritization Data Set

This data set compiles metrics related to energy justice, environmental justice, and renewable energy (RE) deployment potential. The metrics, including energy burden, sociodemographic characteristics, environmental hazard exposure, and the technical generation potential and leveli...
Day and RossNational Renewable Energy Laboratory
Oct 15, 2021
4 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence 3 Raw Data

**Overview** Sequence 3: Tower Wake Measure (P) Sequence 3 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 circular cr...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

Buoy California Wind Sentinel (120), Humboldt Processed Data

**Overview** The purpose of the dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various datastreams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted on...
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Jan 04, 1980
1 Resources
0 Stars
Publicly accessible

Radar TTU radar Raw Data

**Overview** This dataset coincides with a selected atmospheric case from the 200-m meteorological tower data. **Data Details** These data have been provided by Texas Tech University, from their boundary layer radar profiler. **Data Quality** These data have been acquired in ...
Ennis, B. Wind Energy Technologies Office (WETO)
Nov 07, 2013
1 Resources
0 Stars
Publicly accessible

EERE Energy Analysis Data and Tools

On this website, energy analysts and policymakers can access energy analysis products, including published analyses, energy data and maps, and analysis tools from EERE and the broader DOE-supported energy analysis community. While the website provides links to important energy ana...
Ma, S. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
0 Stars
In curation

Lidar California Leosphere Windcube 866 (120), Humboldt Processed Data

**Overview** The purpose of this dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various datastreams from the buoy into NetCDF. **Data Quality** Standard filtering thresholds on the averaged data were applied and several data f...
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Oct 07, 2020
1 Resources
0 Stars
Publicly accessible

A Digital Surface Model (DSM) for United States

The dataset represents a digital surface models (DSM) representing surface heights on the Earth. The dataset covers the majority of the United States and is a derivative of USGS Lidar data collected mostly over the last decade. To the best of our knowledge it represents the only h...
Zisman, S. et al NREL
Jun 28, 2024
0 Resources
0 Stars
In progress
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