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Utah FORGE: Geochemical Data for Cold Groundwaters and Produced Geothermal Fluids

Geochemical data for cold groundwaters and produced geothermal fluids around the Utah FORGE site. The data is compiled into four tables in the attached Excel File. Table 1 is a compilation of compositions (anions, cations, weak acids, oxygen, hydrogen, and carbon isotopes) for c...

Simmons, S. and Kirby, S. Energy and Geoscience Institute at the University of Utah

Aug 16, 2024
2 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Data Used for Geothermal Resource Conceptual Modeling and Power Capacity Estimates

This data submission includes several data components that were used to develop a conceptual model and power capacity-estimates of two low-temperature geothermal resources that define geothermal prospect A at Hawthorne, Nevada. Data are sourced from a combination of legacy publicl...

Ayling, B. and Hinz, N. Great Basin Center for Geothermal Energy

Apr 05, 2020
7 Resources
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Comparative Analysis of Alternative Means for Removing Noncondensable Gases from Flashed-Steam Geothermal Power Plants:April 1999 March 2000

This dataset corresponds to the final report on a screening study to compare six methods of removing noncondensable gases from direct-use geo-thermal steam power plants. This report defines the study methodologies and compares the performance and economics of selected gas-removal ...

Hallett, K. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
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In curation

Geothermal Exploration Cost and Time

The Department of Energy's Geothermal Technology Office (GTO) provides RD&D funding for geothermal exploration technologies with the goal of lowering the risks and costs of geothermal development and exploration. The National Renewable Energy Laboratory (NREL) was tasked with deve...

JenneNational Renewable Energy Laboratory

Dec 21, 2014
2 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...

Beckers, K. et al National Renewable Energy Laboratory

Oct 20, 2021
6 Resources
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Utah FORGE 2439: Well 16B(78)-32 Field-Test Data from Mini-Frac Tests

This submittal includes the field-test data collected during stress tests conducted in the Utah FORGE 16B(78)-32 wellbore to measure/characterize the stresses in the geothermal reservoir. The type of stress test performed is referred to as a mini-frac test or a micro-frac test. Th...

Kelley, M. et al Battelle Memorial Institute

Jul 02, 2023
4 Resources
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PV Rooftop Database

The National Renewable Energy Laboratory's (NREL) Photovoltaic (PV) Rooftop Database (PVRDB) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for 128 metropolitan regions in the United States. The PVRDB data are organized...

Mooney, M. National Renewable Energy Laboratory (NREL)

Jan 01, 2016
5 Resources
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Fish Detection AI, sonar image-trained detection, counting, tracking models

The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...

Gutstein, S. et al Water Power Technology Office

Aug 25, 2024
6 Resources
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Tanana River Transects August 2010

As part of the initial site investigation for the Tanana River near Nenana, Alaska, a set of transects was completed on August 10th, 2010. This data was collected with a Rio Grande 1200 Teledyne ADCP the same year the initial bathymetry was collected. This set of transects includ...

DUVOY, P. University of Alaska Fairbanks

Aug 10, 2010
5 Resources
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HERO WEC V1.0 WEC-Sim Model (July 2024)

**This submission supersedes submission MHKDR-483** This submission file contains the files that are needed to simulate NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter). This requires the user to have already installed WEC-Sim. In addition to the sta...

Panzarella, J. et al National Renewable Energy Laboratory

Jul 01, 2024
2 Resources
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Physical and Numerical Modeling Open Source Files and Datasets for 1:6 Scale Reference Model 2 (RM2) Cross-Flow Turbine

This submission includes Github links to open source files and data sets, including the numerical model, CACTUS, input files, source code and output files, CAD files of the 1:6 scale model DOE's RM2 cross-flow turbine, power performance data and wake flow measurements from the 1:6...

Neary, V. Sandia National Laboratories

Jun 30, 2015
3 Resources
0 Stars
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2024 Standard Scenarios: A U.S. Electricity Sector Outlook

This data corresponds to the 2024 Standard Scenarios report, which contains a suite of forward-looking scenarios of the possible evolution of the U.S. electricity sector through 2050. These files contain modeled projections of the future. Although we strive to capture relevant p...

Gagnon, P. et al National Renewable Energy Laboratory (NREL)

Dec 30, 2024
7 Resources
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Rooftop Energy Potential of Low Income Communities in America REPLICA

The Rooftop Energy Potential of Low Income Communities in America REPLICA data set provides estimates of residential rooftop solar technical potential at the tract-level with emphasis on estimates for Low and Moderate Income LMI populations. In addition to technical potential REPL...

Mooney and SigrinNational Renewable Energy Laboratory

Apr 03, 2018
27 Resources
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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
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Reverse Osmosis Simulation Data

This dataset consists of computational fluid dynamics (CFD) output for various spacer configurations in a feed-water channel in reverse osmosis (RO) applications. Feed-water channels transport brine solution to the RO membrane surfaces. The spacers embedded in the channels help im...

Nadakkal Appukuttan, S. et al National Renewable Energy Lab NREL

Apr 22, 2024
2 Resources
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Energy Appliance Data 2009-2010

Datasets for residential appliances energy usage/efficiency. The Federal Trade Commission (FTC) collects manufacturer data about the energy use and efficiency of appliances. All of the data was submitted by manufacturers under the FTC's Appliance Labeling Rule (see "FTC Appliance ...

Trade Commission, F. National Renewable Energy Laboratory

Jul 29, 2014
19 Resources
0 Stars
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US Municipal Desalination Plants

This submission presents results and observations from a series of surveys of US municipal desalination plants conducted during the last 20 years. The surveys were conducted to determine the number, characteristics, and concentrate disposal practices of US desalination plants. Eac...

Mickley, M. Mickley and Associates LLC

Aug 31, 2018
3 Resources
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Geologic Framework of Thermal Springs, Black Canyon, Nevada and Arizona

This report presents the geologic framework critical in understanding spring discharge and the hydrogeology in Black Canyon directly south of Lake Mead below Hoover Dam, Nevada and Arizona. Most of the springs are thermal 2 Geologic Framework of Thermal Springs, Black Canyon, Neva...

Beard, L. et al United States Geological Survey

Aug 13, 2014
1 Resources
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Reference Model 1 Scaled Geometry (RM1: Tidal Current Turbine)

Contains the Reference Model 1 (RM1) scaled scale geometry files of the Tidal Current Turbine, developed by the Reference Model Project (RMP). These scaled geometry files are saved as SolidWorks assembly, IGS, and STEP files, and require a CAD program to view. The scaled RM1 devic...

Neary, V. and Hill, C. Sandia National Laboratories

Sep 30, 2014
8 Resources
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DEEPEN 3D PFA Weights for Exploration Datasets in Magmatic Environments

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...

Taverna, N. et al National Renewable Energy Laboratory

Jun 30, 2023
3 Resources
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Ocean Sentinel Mooring and Environmental Data 2013

Load cell data of Ocean Sentinel (OS) mooring, OS locations data and environmental conditions data (wave, wind, current) measured in the 2013 field test.

C., S. Oregon State University

Jul 29, 2013
6 Resources
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...

Mustafa, A. et al Battelle Memorial Institute

Sep 28, 2023
3 Resources
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Catalyst Design in Nitrate Removal

Based on the volcano plot developed by Dr. Goldsmith group (Report linked in submission), we utilized DFT (density functional theory) calculations to search for bimetallic materials in the application of catalysts in aqueous nitrate removal. The calculations are conducted via the ...

Wang, D. and Jain, A. Lawrence Berkeley National Laboratory

Dec 01, 2021
7 Resources
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Brady's Geothermal Field Analysis of Pressure Data

*This submission provides corrections to GDR Submissions 844 and 845* Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology. The 3 *csv files containing pressure data are the corrected versions of the pressure dataset found in Submission 844. The ...

Lim, D. University of Wisconsin

Mar 17, 2017
6 Resources
0 Stars
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BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...

Tripp, C. et al National Renewable Energy Laboratory

May 20, 2022
4 Resources
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