Search OEDI Data
Showing results 101 - 125 of 390.
Show
results per page.
Order by:
Available Now:
Research Areas
Accessibility
Data Type
Organization
Source
Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Reviewed Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Derived Data
**Overview**
This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging).
**Data Details**
Each meteorological station had one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (w...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Raw Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Reviewed Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Derived Data
**Overview**
This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging).
**Data Details**
Each meteorological station had one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (w...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Apr 01, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Raw Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Reviewed Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data
This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183
These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the r...
Gagnon, . et al Energy Systems Integration
Aug 12, 2021
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
The measurement of depth of water in oceans, seas, or lakes GEBCO bathymetry gridded data for North Sea / Baltic Sea Derived Data
**Overview**
This dataset contains global bathymetry, or water depth, measurements from the General Bathymetric Chart of the Oceans (GEBCO), converted into the format needed for WRF's Pre-processing System (WPS). The data are read in for the use of a depth-dependent water surface...
Hawbecker, P. Wind Energy Technologies Office (WETO)
Dec 31, 2019
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Wind Resources in Alaska
Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2006
2 Resources
0 Stars
In curation
2 Resources
0 Stars
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Additional Data Focused on Phase 1 Geared Toward Computational Fluid Dynamics (CFD) validation
**Overview**
A new validation campaign was developed within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) to better understand the complex interactions between components of a floating wind system (e.g., columns, pontoons, etc.) in ...
Robertson, A. Wind Energy Technologies Office (WETO)
Apr 08, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
2016 Annual Technology Baseline
Current and future cost and performance data for electricity generating technologies, including both renewable and conventional technologies.
Hand, . et al National Renewable Energy Laboratory
Sep 12, 2016
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Open Energy Information (OpenEI.org)
Open Energy Information (OpenEI) is a knowledge-sharing online community dedicated to connecting people with the latest information and data on energy resources from around the world. Created in partnership with the United States Department of Energy and federal laboratories acros...
Brodt-Giles, D. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
UAE6 Wind Tunnel Tests Data UAE6 Sequence N Raw Data
**Overview**
Sequence N: Sin AOA, Rotating (P)
This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the
presence of rotational influences by varying blade pitch angle. Test sequence N used an upwind,
rigid turbine with a 0° cone angle. The wind ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence P Raw Data
**Overview**
Sequence P: Wake Flow Visualization, Upwind (P)
This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged
from 5 m/s to 15 m/s. Yaw angles of 0° to –60° were achieved. The blade tip pitch was 3°. The rotor rotated at 72 RPM. ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw 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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw 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
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible