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Utah FORGE: InSAR Data from 2022
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Nov 30, 2022
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Desert Peak Geodatabase for Geothermal Exploration Artificial Intelligence
These files contain the geodatabases related to the Desert Peak Geothermal Field. It includes all input and output files used in the project. The files include data categories of raw data, pre-processed data, and analysis (post-processed data). In each of these categories there ar...
Moraga, J. et al Colorado School of Mines
Apr 27, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Utah FORGE: InSAR Data from 2021
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Nov 30, 2021
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Utah FORGE: InSAR Data from 2020
Interferometric Synthetic Aperture Radar data from the TerraSAR-X and the TanDEM-X satellite missions operated by the German Space Agency (DLR). Interferometric pairs (interferograms) were created using generic mapping tool GMT-SAR processing software (see link in Resources). Data...
Batzli, S. and Feigl, K. University of Wisconsin
Dec 24, 2020
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Radar TTU radar Raw Data
**Overview**
This dataset coincides with a selected atmospheric case from the 200-m meteorological tower data.
**Data Details**
These data have been provided by Texas Tech University, from their boundary layer radar profiler.
**Data Quality**
These data have been acquired in ...
Ennis, B. Wind Energy Technologies Office (WETO)
Nov 07, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
PNNL LIDAR Halo Streamline XR+ (1) pre-campaign / Raw Data
**Overview**
This is a pre-campaign instrument deployment. With it, we aim to upload data and test/verify the ingest pipeline.
**Data Quality**
Adding signal-to-noise ratio can exclude data based on this value.
Newsom, R. Wind Energy Technologies Office (WETO)
Feb 23, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
LLNL LIDAR Halo Streamline XR+ pre-campaign / Proc Data
**Overview**
This is a pre-campaign instrument deployment. With it, we aim to upload data and test/verify the ingest pipeline.
**Data Quality**
Adding signal-to-noise ratio can exclude data based on this value.
Newsom, R. Wind Energy Technologies Office (WETO)
Jan 02, 2022
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
SWA_Challenges_MF_ESMFNC_ZERH
This study completed by Steven Winter Associates documents the challenge that exist for existing multi family buildings to achieve Energy Star for new homes or Zero Energy Ready Home Certification.
Cindrich. . et al National Renewable Energy Laboratory
Jul 28, 2023
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
West Flank Coso, CA FORGE Test Area
A map with the Coso West Flank FORGE test area outlined, along with regional seismicity, the aeromagnetic data set and the area currently being utilized for the creation of the 3D model.
Blankenship, D. Sandia National Laboratories
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
Dec 01, 2022
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
PoroTomo: BRAD, BRD1, and BRDY GPS Station RINEX Files April 26, 2016
This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of April 26, 2016. The data is formatted as compressed GNSS RINEX observation files, accessible through formatted CSV files, as well as in links to the complete daily time series data. ...
Kreemer, C. University of Nevada
Apr 26, 2016
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Photovoltaic Module Current-Voltage and Electroluminescence Image Data (PV-IV-EL)
This dataset consists of 613 sets of corresponding current-voltage trace (IV) flash test data and electroluminescence (EL) image data for commercial PV modules from the Photovoltaic Systems Evaluation Laboratory at Sandia National Laboratories. PV modules are from fielded systems ...
Byford, B. et al Sandia National Laboratories
Dec 15, 2015
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NREL GIS Data: United States Hydrogen Potential From Renewable Resources
Estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county for the United States. This study was conducted to estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar p...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Utah FORGE: Heat Flow Contours and Well Data
This submission contains a shapefile of heat flow contour lines around the FORGE site located in Milford, Utah. The model was interpolated from data points in the Milford_wells shapefile. This heat flow model was interpolated from 66 data points using the kriging method in Geostat...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 09, 2016
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
UAE6 Wind Tunnel Tests Data UAE6 Sequence 6 Raw Data
**Overview**
Sequence 6: Shroud Wake Measure (P)
This test sequence 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 ci...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
SubTER Final Magnetotelluric (MT) Data: Mineral Mountains, Utah
Subsurface Science, Technology and Engineering Research, and Development (SubTER) Crosscut is a collaboration across the Department of Energy offices involved in research activities in energy production/extraction, subsurface storage, and environmental remediation. This submission...
Wannamaker, P. Energy and Geoscience Institute at the University of Utah
Oct 13, 2021
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Performance and Costs of Ductless Heat Pumps in Marine-Climate High-Performance Homes Habitat for Humanity The Woods
The Washington State University (WSU) Energy Program's Building America (BA) team conducted a case study of a high-performance affordable housing community: The Woods (Figure 1). This BA effort is part of a larger-scale study of 30 homes funded from 2013-2016 by Tacoma Public Util...
Lubliner, M. et al Washington State University
Apr 27, 2016
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V1 Profiler, Troutdale 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 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Lidar CU WindCube V1 Profiler, Wasco Airport 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)
Feb 22, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
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
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
1 Resources
0 Stars
Publicly accessible