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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
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Federal Energy and Manufacturing Workforce Training Programs
The National Science Foundation, the Department of Labor and the Department of Energy have programs that support training for jobs in energy and manufacturing related workforce training programs. This dataset provides a searchable list of the training programs in these areas showi...
Silverman, L. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
1 Resources
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Publicly accessible
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
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
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
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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
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Publicly accessible
California Quality-Controlled Reanalysis and Observational Data for Buoy (130), Morro Bay / Derived Data
**Overview**
This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate ...
Sheridan, L. Wind Energy Technologies Office (WETO)
Sep 30, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Sodar St. James, MN Processed Data
**Overview**
This dataset was produced from the raw sodar .wtb files from the St. James, MN 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 reso...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 27, 2011
1 Resources
0 Stars
Publicly accessible
1 Resources
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California Quality-controlled Reanalysis and Observational Data for Buoy (120), Humboldt / Derived Data
**Overview**
This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate ...
Sheridan, L. Wind Energy Technologies Office (WETO)
Sep 30, 2020
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
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
Curated
17 Resources
1 Stars
Curated
Miller & Keith (2018) Wind Plant Data
Information on the 430 wind power plants used in 'Observation-based solar and wind power capacity factors and power densities’ by Miller & Keith (2018, Environ. Res. Lett. 13 104008), initially based on the Wind Power Plant locations released by the US Energy Information Adminis...
Miller, L. Harvard University
Nov 22, 2018
2 Resources
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In curation
2 Resources
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In curation
California Energy Commission List of Power Plants in California
This dataset contains a list of power plants in California from the California Energy Commission. Contains data on the fuel types, technology, status and more for each power plant.
### License Info
http://www.energyalmanac.ca.gov/conditions.html
Wong, T. and Commission, C. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation
2 Resources
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In curation
Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 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 13, 2016
1 Resources
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1 Resources
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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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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
**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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Publicly accessible
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
**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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Publicly accessible
1 Resources
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Afghanistan Wind Power Density at 50-m Above Ground Level GIS Data
This dataset was developed by the National Renewable Energy Laboratory (NREL) for the [U.S. Agency for International Development'](http://www.usaid.gov/)s (USAID) [South Asia Regional Initiative for Energy Cooperation](http://www.sari-energy.org/) (SARI/E). The dataset contains Wi...
Langle, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible
3 Resources
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Combined Heat and Power Installation Database
The Combined Heat & Power (CHP) Installation Database contains information about all the known CHP installations across the country. This data is compiled through a variety of sources and is the only known data set of its kind. DOE, in partnership with the Oak Ridge National Labor...
Hampson, A. and Laboratory, O. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
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In curation
Summary World Wind Energy Data (from World on the Edge)
This dataset presents summary information related to world wind energy. It is part of a supporting dataset for the book World On the Edge: How to Prevent Environmental and Economic Collapse by Lester R. Brown, available from the [Earth Policy Institute](http://www.earth-policy.org...
Hallett, K. and Institute, E. National Renewable Energy Laboratory
Jan 11, 2011
2 Resources
0 Stars
In curation
2 Resources
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In curation
Wind Energy Resource Data
NREL's Geographic Information System (GIS) team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and i...
Webmaster, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 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
Curated
4 Resources
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Curated
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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3 Resources
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Publicly accessible
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
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Publicly accessible
5 Resources
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Pakistan Wind Resources
GIS data for Pakistan's wind resources in graphical files of seasonal and diurnal data from surface weather stations, graphical files of seasonal and diurnal data from Pakistan Meteorological Department (PMD), and Wind Power Density at 50-m AGL (above ground level) GIS data. The g...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
In curation
5 Resources
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In curation
United States Land-based Wind Supply Curves 2023
This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE...
GDS, N. National Renewable Energy Laboratory
Jun 30, 2023
13 Resources
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13 Resources
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Curated