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Utah FORGE: Neubrex Well 16B(78)-32 DAS Data April 2024
This dataset comprises Distributed Acoustic Sensing (DAS) data collected from the Utah FORGE monitoring well 16B(78)-32 (the producer well) during hydraulic fracture stimulation operations conducted in April 2024. The data were acquired continuously over the stimulation period at ...
Jurick, D. et al Neubrex Energy Services (US), LLC
Oct 01, 2024
4 Resources
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4 Resources
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Raw Data from National Wind Technology Center M2 Tower (2001 2011)
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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In curation
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In curation
Wind Resources by Class and Country At 50m
These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (Unite...
Heimiller, D. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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In curation
4 Resources
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In curation
Geothermal Geodatabase for Routt Hot Springs, Routt County, Colorado
This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs and wells in the Routt Hot Spring and Steamboat ...
Zehner, R. Flint Geothermal, LLC
Nov 01, 2012
1 Resources
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Geothermal Geodatabase for Wagon Wheel Hot Springs, Mineral County, Colorado
This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs at Wagon Wheel Gap have geochemistry and geother...
Zehner, R. Flint Geothermal, LLC
Nov 01, 2012
1 Resources
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Alternative Geothermal Power Production Scenarios
The information given in this file pertains to Argonne life-cycle analyses (LCAs) of the plant cycle stage for a set of ten new geothermal scenario pairs, each comprised of a reference and improved case. These analyses were conducted to compare environmental performances among the...
Sullivan, J. Argonne National Laboratory
Mar 14, 2014
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3D Model of the San Emidio Geothermal Area
The San Emidio geothermal system is characterized by a left-step in a west-dipping normal fault system that bounds the western side of the Lake Range. The 3D geologic model consists of 5 geologic units and 55 faults. Overlying Jurrassic-Triassic metasedimentary basement is a ~500 ...
E., J. University of Nevada
Dec 31, 2013
1 Resources
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1 Resources
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West Flank Coso FORGE: Magnetotelluric Inversion
The Coso Magnetotelluric (MT) dataset of which the West Flank FORGE MT data is a subset, was collected by Schlumberger / WesternGeco and initially processed by the WesternGeco GeoSolutions Integrated EM Center of Excellence in Milan, Italy. The 2011 data was based on 99 soundings ...
Blankenship, D. Sandia National Laboratories
May 16, 2016
1 Resources
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Lidar Massachusetts Leosphere Windcube 866 (120) Raw Data
**Overview**
This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020.
The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below.
**Data Deta...
Newsom, R. et al Wind Energy Technologies Office (WETO)
Dec 01, 2019
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Lidar Massachusetts Leosphere Windcube 866 (130) Raw Data
**Overview**
This is the data collected during the validation period. The buoy is scheduled to be deployed near Martha's Vinyard in mid-January 2020.
The Leosphere Windcube 866 lidar systems output 5 different compressed data files. Compression is explained below.
**Data Deta...
Newsom, R. et al Wind Energy Technologies Office (WETO)
Dec 10, 2019
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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Sodar Cleburne, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .dat files from the Cleburne, TX 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 resour...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 17, 2011
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Sodar Ozona, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .dat files from the Ozona, TX 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 resource ...
Sheridan, L. Wind Energy Technologies Office (WETO)
Jul 17, 2011
1 Resources
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Sodar Reagan, TX Processed Data
**Overview**
This dataset was produced from the raw sodar .dat files from the Reagan, TX 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 resource...
Sheridan, L. Wind Energy Technologies Office (WETO)
Aug 03, 2011
1 Resources
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1 Resources
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wfip2.model/retro.hrrr.01.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
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wfip2.model/retro.hrrr.01.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
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wfip2.model/retro.hrrr.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
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wfip2.model/retro.hrrr.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
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wfip2.model/retro.rap.01.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
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wfip2.model/retro.rap.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
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Deep Sedimentary Basin EGS Development
Stratigraphic reservoirs with high permeability and temperature at economically accessible depths are attractive for power generation because of their large areal extent (> 100 km2) compared to the fault controlled hydrothermal reservoirs (< 10 km2) found throughout much of the we...
Allis, R. and Moore, J. University of Utah
Jan 24, 2013
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NorthernStar Zero Energy Ready Homes
This is a repository for all NorthernSTAR Zero Energy Ready certified homes.
Amaris Homes Model Home St. Paul, MN 55110
Description: Model home completed September 2013
The DOE Zero Energy Ready Home Case Study looks to study and eventually design zero net energy homes in cold we...
Huelman, P. University of Minnesota NorthernSTAR Building America Partnership
Apr 27, 2016
20 Resources
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20 Resources
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Directional Cooling-Induced Fracturing: Directional Cooling Data Under True-Triaxial Stress State
Data includes Directional Cooling-Induced Fracturing (DCIF) testing data using westerly granite blocks. This submission includes data from two samples of westerly granite, lab sample 7 and 8. Files contain stress, temperature and acoustic emission data acquired during polyaxial, l...
Trzeciak, M. University of Wisconsin-Madison
Jul 01, 2022
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8 Resources
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Triton Field Trials (TFiT) underwater noise University of New Hampshire Living Bridge turbine Processed Data
In July 2021, a commercial-off-the-shelf hydrophone was deployed in a free-drifting configuration to measure underwater acoustic emissions and characterize a 25 kW-rated tidal turbine at the University of New Hampshire's Living Bridge Project in Portsmouth, New Hampshire. Sampling...
Haxel, J. et al Pacific Northwest National Laboratory
Jul 21, 2021
6 Resources
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6 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
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