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UAE6 Wind Tunnel Tests Data UAE6 Sequence M Raw Data
**Overview**
Sequence M: Transition Fixed (P)
Test sequence M used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from
5 m/s to 15 m/s. Yaw angles ranged from 0° to 90°. The blade tip pitch was 3°. The rotor rotated
at 72 RPM. Blade pressure measurement...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Long-Run Marginal Emission Rates for Electricity Workbooks for 2022 Cambium Data
These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how the change could ...
Gagnon, . et al National Renewable Energy Laboratory
Jan 15, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
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
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence S Raw Data
**Overview**
Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F);
Upwind 4° 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 0° to 180° were achieved for Sequence S, but ...
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 Q Raw Data
**Overview**
Sequence Q: Dynamic Inflow (P)
This sequence was designed to characterize the dynamic inflow variation using the five-hole
probes that extend upwind of the leading edge of the blade. This test sequence used an upwind,
rigid turbine with a 0° cone angle. The wind sp...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 11, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence T Raw Data
**Overview**
Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F);
Upwind 4° 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 0° to 180° were achieved for Sequence S, but ...
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 U Raw Data
**Overview**
Sequences S, T, and U: Upwind, No Probes (F); Upwind 2° Pitch (F);
Upwind 4° 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 0° to 180° were achieved for Sequence S, but ...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar NOAA High Resolution Doppler Lidar (HRDL) Raw Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
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...
Gagnon, . et al National Renewable Energy Laboratory
Aug 12, 2021
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
Lidar NOAA High Resolution Doppler Lidar (HRDL) Derived Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Lidar NOAA High Resolution Doppler Lidar (HRDL) Processed Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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National Hydropower Asset Assessment Program
The Oak Ridge National Laboratory (ORNL) National Hydropower Asset Assessment Program (NHAAP) is an integrated energy, water, and ecosystem research and geospatial data integration effort for efficient,
Webmaster, . and Laboratory, O. Oak Ridge National Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
Distributed Generation Market Demand (dGen) model
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...
Stanley, T. et al National Renewable Energy Laboratory (NREL)
Oct 16, 2020
4 Resources
1 Stars
Publicly accessible
4 Resources
1 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
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Publicly accessible
Lidar UMBC WindCube 200S Doppler Lidar Processed Data
**Data Details**
UMBC Lidar:
Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416
NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428
Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
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Publicly accessible
1 Resources
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Lidar UMBC WindCube 200S Doppler Lidar Derived Data
**Data Details**
UMBC Lidar:
Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416
NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428
Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar UMBC WindCube 200S Doppler Lidar Raw Data
**Data Details**
UMBC Lidar:
Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416
NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428
Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
Publicly accessible
2 Resources
1 Stars
Publicly accessible
North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V1 Profiler, Troutdale Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V1 Profiler, Wasco Airport Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Feb 22, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V2 Profiler, Gordons Ridge Raw Data
**Overview**
Wind and lidar turbulence profiles from 40 m to 220 m above the surface.
**Data Quality**
These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the 22 dB CNR quality control threshold.
**Uncertainty**
Line-of-sight measuremen...
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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United States Renewable Energy Technical Potential
Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints.
The primary benefit of assessing technical potential...
Lopez, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
U.S. State Wind Resource Potential
Estimates for each of the 50 states and the entire United States showing the windy land area with a gross capacity factor (without losses) of 30% and greater at 80-m height above ground and the wind energy potential from development of the “available” windy land area after exc...
Wood, J. and America, W. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Surface Meteorological Station BAO West of Tower, Surface Processed Data
**Overview**
Proving basic surface meteorology, soil hydrology and temperature, and fluxes of energy (radiation and turbulent fluxes) and water (precipitation, evaporation, and soil moisture).
**Data Details**
Contact **David Noone**.
**Data Quality**
This dataset is prelimi...
Noone, D. Wind Energy Technologies Office (WETO)
Feb 28, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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