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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
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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
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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
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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
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In curation

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL's Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...

Heimiller, D. et al National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
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PR100: Puerto Rico Grid Resilience and Transition to 100% Renewable Energy

The Puerto Rico Grid Resilience and Transitions to 100% Renewable Energy Study (PR100) comprehensively analyzes possible pathways for Puerto Rico to achieve its renewable energy goals while incorporating stakeholder perspectives and advancing energy resilience for all Puerto Rican...

Sky, H. et al National Renewable Energy Laboratory (NREL)

Jul 01, 2022
17 Resources
1 Stars
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Sodar Vaisala Triton Wind Profiler, AON1 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON3 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 14, 2016
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
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United States Offshore Wind Supply Curves 2024

This data packet contains supply curves, hourly generation profiles, and composite siting exclusion TIFFs for offshore wind (OSW) in the waters of the EEZ off the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), level...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
15 Resources
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Renewable Energy Finance Tracking Initiative 2009-2010

This dataset highlights key financing terms for U.S. renewable energy projects that closed financing between Q3 2009 and Q3 2010. Information tracked includes debt interest rates, equity returns, financial structure applied, PPA duration, and other information. This dataset comes...

Kreycik, C. National Renewable Energy Laboratory

Nov 25, 2014
7 Resources
0 Stars
In curation

Wind for Schools Wind Turbine Data

This dataset is a series of wind turbine data collected for the Wind for Schools project. The U.S. Department of Energy funded the Wind for Schools project, which helped develop a future wind energy workforce by encouraging students at higher education institutions to join Wind Ap...

Summerville, B. et al National Renewable Energy Laboratory (NREL)

Jan 01, 2012
4 Resources
0 Stars
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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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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
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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
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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
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Camera / Raw Data

**Overview** The SUMR-D CART2 turbine data are recorded by the CART2 wind turbine's supervisory control and data acquisition (SCADA) system for the Advanced Research Projects Agency–Energy (ARPA-E) SUMR-D project located at the National Renewable Energy Laboratory (NREL) Flatir...

Scholbrock, A. Wind Energy Technologies Office (WETO)

Sep 10, 2019
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Wind Turbine / Reviewed Data

**Overview** The SUMR-D CART2 turbine data are recorded by the CART2 wind turbine's supervisory control and data acquisition (SCADA) system for the Advanced Research Projects Agency–Energy (ARPA-E) SUMR-D project located at the National Renewable Energy Laboratory (NREL) Flatir...

Scholbrock, A. Wind Energy Technologies Office (WETO)

Oct 04, 2019
1 Resources
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Analysis of a fixed-bottom cylinder in a wave basin

**Overview** The Offshore Code Comparison, Collaboration, Continued, with Correlation (OC5) is an international research project run under the International Energy Agency (IEA) Wind Task 30. The project is focused on validating the tools used design offshore wind systems. OC5 con...

Robertson, A. Wind Energy Technologies Office (WETO)

Jul 22, 2019
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