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Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...

Sullivan, P. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Raw Data

**Overview** The data included features wind, temperature, and turbulence measurements. **Data Details** Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...

Fernando, J. et al Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Raw Data

Fernando, J. et al Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Raw Data

Fernando, J. et al Wind Energy Technologies Office (WETO)

Feb 13, 2016
1 Resources
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Raw Data

Fernando, J. et al Wind Energy Technologies Office (WETO)

Feb 14, 2016
1 Resources
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Microwave Radiometer UND Radiometrics MWR, Rufus Reviewed Data

**Overview** Reviewed dataset that also includes post-reprocessed level1 and level2 data files from November 2015 to May 2016 (refer to "Additional Information"). Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) u...

Leo, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
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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
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Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...

Zhang, X. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2021
3 Resources
0 Stars
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2014 Wind Turbine Gearbox Damage Distribution based on the NREL Gearbox Reliability Database

Despite the improvements in wind turbine gearbox design and manufacturing practices, the wind industry is still challenged by premature wind turbine gearbox failures. To help address this industry-wide challenge, a consortium called the Gearbox Reliability Collaborative (GRC) was ...

Sheng, S. National Renewable Energy Laboratory

Feb 09, 2015
2 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

ARPA-E PERFORM datasets

Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021....

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

Aug 18, 2022
3 Resources
2 Stars
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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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Sodar NREL Scintex SFAS Wind Profiler, Condon Raw Data

**Overview** The dataset includes 15-minute average wind speed and direction records from 10 m to 250 m above ground level (AGL) in 5-m range gates. Data were collected by a Scintec SFAS wind profiler installed at the Condon State Airport in Oregon, about 1.8 km northeast of the ...

Scott, G. and Jager, D. Wind Energy Technologies Office (WETO)

Nov 19, 2015
1 Resources
0 Stars
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Sodar NREL Scintex SFAS Wind Profiler, Condon Reviewed Data

Scott, G. and Jager, D. Wind Energy Technologies Office (WETO)

Nov 19, 2015
1 Resources
0 Stars
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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)