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Workplace Charging Data
A data set gathered and maintained by NREL that tracks over 300 vehicles during the course of a 4-year period and how they behave in a workplace charging capacity. The data is further enriched by examining the effect of free charging versus paid charging. There is also a distincti...
Neuman, . et al National Renewable Energy Laboratory
Jan 04, 2022
2 Resources
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2 Resources
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SWERA: Solar and Wind Energy Resource Assessment
The Solar and Wind Energy Resource Assessment (SWERA) Programme was a collaboration of worldwide partners with a mission to provide information on renewable energy resources for countries and regions around the world. Funding and support for the SWERA Programme concluded in 2011, ...
Langle, N. National Renewable Energy Laboratory
Dec 21, 2017
2 Resources
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In curation
2 Resources
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In curation
UAE6 Wind Tunnel Tests Data UAE6 Sequence H Raw Data
**Overview**
Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind
High Pitch (F)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of –30 to 180° were achieved at low wind speeds,...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence I Raw Data
**Overview**
Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind
High Pitch (F)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of –30° to 180° were achieved at low wind speed...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence J Raw Data
**Overview**
Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind
High Pitch (F)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Yaw angles of –30° to 180° were achieved at low wind speed...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030
Output data from an NREL report entitled "An Assessment of the Economic Potential of Offshore Wind in the United States from 2015 to 2030" (NREL/TP-6A20-67675), which analyzes the spatial variation of levelized cost of energy (LCOE) and levelized avoided cost of energy (LACE) to ...
Beiter, . et al National Renewable Energy Laboratory
May 17, 2017
1 Resources
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1 Resources
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Form EIA-860 Annual Electric Generator Report
The Form EIA-860 is a generator-level
survey that collects specific information about existing and planned
generators and associated environmental equipment at electric power
plants with 1 megawatt or greater of combined nameplate capacity. The
survey data is summarized in...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report
Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
McLing, T. et al Idaho National Laboratory
May 31, 2019
11 Resources
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11 Resources
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Hybrid machine learning model to predict 3D in-situ permeability evolution
Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...
Elsworth, D. and Marone, C. Pennsylvania State University
Nov 22, 2022
4 Resources
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4 Resources
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
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4 Resources
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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
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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
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Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Reviewed Data
**Overview**
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
**Data Details**
* X (column 1) is a component of wind cm/s plus toward north.
* Y (column 2) is a component of wind cm/s plus toward east.
* Z (column 3) is...
Cook, D. Wind Energy Technologies Office (WETO)
Jul 14, 2016
1 Resources
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Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Reviewed Data
**Overview**
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
**Data Details**
* X (column 1) is a component of wind cm/s plus toward north.
* Y (column 2) is a component of wind cm/s plus toward east.
* Z (column 3) is...
Cook, D. Wind Energy Technologies Office (WETO)
Jul 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Reviewed Data
**Overview**
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
**Data Details**
* X (column 1) is a component of wind cm/s plus toward north.
* Y (column 2) is a component of wind cm/s plus toward east.
* Z (column 3) is...
Cook, D. Wind Energy Technologies Office (WETO)
Jul 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Reviewed Data
**Overview**
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
**Data Details**
* X (column 1) is a component of wind cm/s plus toward north.
* Y (column 2) is a component of wind cm/s plus toward east.
* Z (column 3) is...
Cook, D. Wind Energy Technologies Office (WETO)
Jul 14, 2016
1 Resources
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1 Resources
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San Clemente Island Data: San Clemente Island, California (Data)
Wind data from January 1, 2000 to July 17, 2005
McKenna and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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Raw Data from National Wind Technology Center M2 Tower (1996 2001)
This raw data reflects readings from instruments mounted on or near a 82 meter meteorological tower located at the [National Wind Technology Center (NWTC)](http://www.nrel.gov/wind/ "NWTC website"), approximately 5 miles south of Boulder, CO (specifically: 39.9107 N, 105.2348 W, d...
Hallett, K. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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Radar ANL Wind Profiler with RASS, Goldendale Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Mar 13, 2016
1 Resources
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Radar ANL Wind Profiler with RASS, Yakima Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Mar 14, 2016
1 Resources
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1 Resources
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Radar ANL Wind Profiler, Walla Walla Raw Data
**Overview**
**Winds**
A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...
Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)
Mar 13, 2016
1 Resources
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Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Reviewed Data
**Overview**
These data provide vertical mean profiles of wind and direction (30 min time step and 10 m range gate).
**Data Details**
Data averaged over an interval of 30 minutes.
Wind Direction is from Geographic North.
Time stamp is included in each data file.
Location: Jo...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
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Grande Prairie Wind Purpose and Need Example
This is an example of how a purpose and need statement is put together for the Grande Prairie Wind Project.
Wiedmeyer, S. National Renewable Energy Laboratory
Apr 21, 2015
1 Resources
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1 Resources
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Sodar NREL Scintec MFAS Wind Profiler, Decker Ranch Airstrip Raw Data
**Overview**
The dataset includes 15-minute average wind speed and direction records from 30 m to 330 m above ground level (AGL) in 10-m range gates. Data were collected by a Scintec MFAS wind profiler installed at the Decker Ranch in Oregon, about 4.4 km southeast of Kent, Ore.,...
Jager, D. and Scott, G. Wind Energy Technologies Office (WETO)
Oct 27, 2015
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Sodar NREL Scintec MFAS Wind Profiler, Decker Ranch Airstrip Reviewed Data
**Overview**
The dataset includes 15-minute average wind speed and direction records from 30 m to 330 m above ground level (AGL) in 10-m range gates. Data were collected by a Scintec MFAS wind profiler installed at the Decker Ranch in Oregon, about 4.4 km southeast of Kent, Ore.,...
Jager, D. and Scott, G. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
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