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"recovery from sorbent"×

Lidar CU WindCube V2 Profiler, Gordons Ridge Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible

Tower TTU (SWiFT) Tower, All levels Raw Data

**Overview** This dataset includes a diurnal cycle with a consistent Convective-Neutral-Stable overnight transition after a frontal passage. **Data Details** These data have been provided by Texas Tech University from their 200-m meteorological tower. **Data Quality** See rep...
Ennis, B. Wind Energy Technologies Office (WETO)
Nov 07, 2013
1 Resources
0 Stars
Publicly accessible

West Flank Coso Downhole Temperature Data

Downhole temperature data for the three wells inside the West Flank FORGE footprint; 83-11, TCH 74-2 and TCH 48-11. TCH 74-2 and TCH 48-11 were both collected before 1990 and 83-11 was collected in 2009. The are compiled into one spreadsheet for ease of visualization. Plot of data...
Blankenship, D. Sandia National Laboratories
Mar 01, 2008
1 Resources
0 Stars
Publicly accessible

Initial 3D Gravity Results at Newberry

Initial 3D gravity results from Zonge Int'l recorded for the 4D EGS Monitoring project at Newberry, during stimulation of Well 55-29 by AltaRock Energy
Rose, K. National Energy Technology Laboratory
Jul 31, 2015
2 Resources
0 Stars
Publicly accessible

Wave Tank Characterization Data

This data set was collected from a 16k gallon single paddle type wave tank after adjustments were made to the transfer function in the control software. The file names describe the commanded wave height and period which can then be compared with the actual measured height and peri...
Candon, C. et al National Renewable Energy Laboratory
Jul 14, 2023
1 Resources
0 Stars
Publicly accessible

Glass Buttes Well 52-33 Core Log

Core log from Glass Buttes Well 52-33, drilled by Geodrill Rig 6 in 2014 to a depth of 3000 feet. Logged at 500 ft intervals.
Akerley, J. Ormat Nevada Inc
Oct 26, 2014
1 Resources
0 Stars
Publicly accessible

Municipal Franchise Agreements and Energy Objectives

This data set includes franchise agreement-related information from 3,538 municipalities nationwide including data on franchise length, fees, agreement language, and energy objectives.
Cook and GrunwaldNational Renewable Energy Laboratory
Dec 04, 2019
1 Resources
0 Stars
Publicly accessible

A Digital Surface Model (DSM) for United States

The dataset represents a digital surface models (DSM) representing surface heights on the Earth. The dataset covers the majority of the United States and is a derivative of USGS Lidar data collected mostly over the last decade. To the best of our knowledge it represents the only h...
Zisman, S. et al NREL
Jun 28, 2024
0 Resources
0 Stars
In progress

NREL GIS Data: Alaska Low Resolution Wind Resource

Annual average wind resource potential for the United States (low resolution) ### License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory (?NREL?), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Depa...
Twong, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

United States New England Regional High Resolution Wind Resource

A shapefile of annual average wind resource potential for the New England Region at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shap...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Puerto Rico and Virgin Islands High Resolution Wind Resource

A shapefile of annual average wind resource potential for Puerto Rico and the Virgin Islands at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development project...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Publicly accessible

Utah High Resolution Wind Resource

A shapefile of annual average wind resource potential for Utah, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefi...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence O Raw Data

**Overview** Sequence O: Sin AOA, Parked (P) This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the absence of rotational influences by varying blade pitch angle. This test sequence 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

NREL GIS Data: Continental United States Low Resolution Wind Resource

Annual average wind resource potential for the United States (low resolution) ### License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory (?NREL?), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Depa...
Twong, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Rhode Island High Resolution Wind Resource

A shapefile of annual average wind resource potential for Rhode Island, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Tennessee High Resolution Wind Resource

A shapefile of annual average wind resource potential for Tennessee, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This sh...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible

Utility Outage Information

Data about power company service areas and their announcements about outages are critical for the effective coordination of resources after disasters, and also for building community and neighborhood resilience. As part of the 2015 White House Mapathon, the Department of Energy's...
Weers, J. and Laboratory, N. National Renewable Energy Laboratory
Aug 28, 2015
4 Resources
0 Stars
In curation

Vermont High Resolution Wind Resource

A shapefile of annual average wind resource potential for Vermont at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was genera...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Jul 01, 2005
5 Resources
0 Stars
Publicly accessible

wfip2.model/realtime.hrrr_esrl.graphics.01

**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)
Dec 14, 2015
1 Resources
0 Stars
Publicly accessible

wfip2.model/refcst.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)
Jan 31, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/refcstext.02.fcst.01

**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)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/refcstext.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)
Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

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

UAE6 Wind Tunnel Tests Data UAE6 Sequence L Raw Data

**Overview** Sequence L: Step AOA, Parked (P) This sequence was designed to quantify the 3-D blade static angle-of-attack response in the absence of rotational influences by varying the blade pitch angle. This test sequence used an upwind, rigid turbine with a 0° cone angle. Wi...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible

wfip2.model/realtime.hrrr_wfip2.icbc.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)
Dec 01, 2015
1 Resources
0 Stars
Publicly accessible
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