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Structural and Tectonic Controls of Geothermal Activity in the Basin and Range Province

We are conducting an inventory of structural settings of geothermal systems (>400 total) in the extensional to transtensional Great Basin region of the western USA. A system of NW-striking dextral faults known as the Walker Lane accommodates ~20% of the North American-Pacific plat...

Faulds, J. et al University of Nevada

Nov 30, 2012
1 Resources
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Radar 449MHz Astoria, OR (AST) Reviewed 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...

Gottas, D. Wind Energy Technologies Office (WETO)

Sep 02, 2015
1 Resources
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Radar 449MHz Forks, WA (FKS) Reviewed Data

Gottas, D. Wind Energy Technologies Office (WETO)

Jul 23, 2015
1 Resources
0 Stars
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Radar 449MHz North Bend, OR (OTH) Raw Data

Gottas, D. Wind Energy Technologies Office (WETO)

Oct 14, 2015
1 Resources
0 Stars
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Radar 449MHz North Bend, OR (OTH) Reviewed Data

Gottas, D. Wind Energy Technologies Office (WETO)

Oct 14, 2015
1 Resources
0 Stars
Publicly accessible

CO2 Push-Pull Single Fault Injection Simulations

ASCII text files containing grid-block name, X-Y-Z location, and multiple parameters from TOUGH2 simulation output of CO2 injection into an idealized single fault representing a dipping normal fault at the Desert Peak geothermal field (readable by GMS). The fault is composed of a ...

Borgia, A. et al Lawrence Berkeley National Laboratory

Sep 21, 2017
5 Resources
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Nevada Great Basin Play Fairway Analysis Reports & Appendices

This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. ...

Faulds, J. et al Nevada Bureau of Mines and Geology

Oct 28, 2015
3 Resources
0 Stars
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BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...

Tripp, C. et al National Renewable Energy Laboratory

Dec 30, 2022
9 Resources
1 Stars
Curated

NREL Wave Energy Assessment for the United States and Puerto Rico

This dataset estimates the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Envi...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
9 Resources
0 Stars
In curation

Closed Loop Pumped Storage Hydropower Resource Assessment of the United States

The data includes a geospatial and spreadsheet representation of a resource analysis for closed loop pumped storage systems across the Continental United States, Alaska, Hawaii, and Puerto Rico. The data includes energy storage potential, water volume, distance from source to stor...

Rosenlieb, E. National Renewable Energy Laboratory

Jan 05, 2022
3 Resources
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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
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University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy

The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...

Phillipes, C. et al National Renewable Energy Laboratory

Sep 30, 2015
5 Resources
0 Stars
Curated

Microbarograph ESRL Hi-Res Microbarograph, Boardman Raw Data

**Overview** High-precision barometers (Paroscientific 6000-16B-IS) are combined with Nishiyama-Bedard Quad Disk pressure probes, measuring pressure (mb) at the surface, nominally 2 m above ground level. Data are sampled at 20 Hz for potential studies of turbulence. The sensors' ...

McCaffrey, K. Wind Energy Technologies Office (WETO)

Jul 20, 2016
1 Resources
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