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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
0 Stars
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6 Resources
0 Stars
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Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
Mordensky, S. et al United States Geological Survey
Feb 07, 2023
7 Resources
0 Stars
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7 Resources
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Altona Field Lab Inverse Model WRR 2020
Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53...
Tester, J. Cornell University
Jan 01, 2015
3 Resources
0 Stars
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3 Resources
0 Stars
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EGS Collab Experiment 1: 4850L Downhole Camera Surveys During Injection
This package includes data and footage from two rounds of downhole camera surveys performed at the Sanford Underground Research Facility (SURF) on the 4850 level. The exercise was performed once on 25 May 2018 and once on 21 December 2018. On May 25th, the first round was done dur...
Schwering, P. et al Sandia National Laboratories
May 25, 2018
9 Resources
0 Stars
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9 Resources
0 Stars
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SMP Preparation, Programming, and Characterization
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Salehi, S. et al University of Oklahoma
Oct 01, 2021
4 Resources
0 Stars
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4 Resources
0 Stars
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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
0 Stars
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7 Resources
0 Stars
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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
0 Stars
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5 Resources
0 Stars
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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
0 Stars
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6 Resources
0 Stars
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Reference Model 3 Scaled Geometry (RM3: Wave Point Absorber)
Contains the Reference Model 3 (RM3) scaled scale geometry files of the Wave Point Absorber, 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 RM3 device ...
Neary, V. et al Sandia National Laboratories
Sep 30, 2014
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
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TEAMER: MADWEC Techno-Economic Analysis
The objective of this project was for the facility to conduct a techno-economic assessment (TEA) of the Maximal Asymmetric Drag Wave Energy Converter (MADWEC), developed by the University of Massachusetts Dartmouth (UMass Dartmouth). MADWEC is used for powering remote monitoring a...
Ortega, T. and Baca, E. National Renewable Energy Laboratory
Mar 08, 2024
2 Resources
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2 Resources
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Big Box Retail Grocery Store and Electric Vehicle Station Load Profiles
This dataset includes yearlong, one-minute resolution time series profiles for the big box retail grocery stores stores simulated in Phoenix, Houston, Denver, and Minneapolis, as well as electric vehicle charging time series profiles for the various ports, charging levels, and sta...
Gilleran. . et al National Renewable Energy Laboratory
Oct 22, 2021
3 Resources
0 Stars
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3 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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19 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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7 Resources
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StingRAY Structural Optimization Final Technical Report
The overall project objective is to materially decrease the leveled cost of energy (LCOE) of the Columbia Power (CPower) StingRAY utility-scale wave energy converter (WEC). This will be achieved by reducing structural material and manufacturing costs and increasing energy output. ...
Lenee-Bluhm, P. Columbia Power Technologies, Inc.
Aug 05, 2020
2 Resources
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2 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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2 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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27 Resources
0 Stars
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Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)
This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...
E., T. Cornell University
Sep 30, 2015
191 Resources
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191 Resources
0 Stars
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Guelph, ON Canada DTS Metadata
Metadata for active distributed temperature survey (DTS) experiments at Guelph, Ontario Canada. This data that this metadata refers to was taken as part of the PoroTomo project. The metadata includes information about status, location, elevation, units, and other metadata.
Coleman, T. University of Wisconsin
Dec 15, 2014
3 Resources
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3 Resources
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Siler, D. et al United States Geological Survey
Oct 01, 2021
6 Resources
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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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5 Resources
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Newberry EGS Demonstration: Initial Project Report and Induced Seismicity Mitigation Plan, 2011
This is the first project report and induced seismicity mitigation plan for the Newberry Enhanced Geothermal Systems (EGS) Demonstration project. The primary objectives of this first phase were to obtain necessary permits and comply with all regulations, including NEPA, communica...
Cladouhos, T. et al AltaRock Energy Inc
May 05, 2024
4 Resources
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4 Resources
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TEAMER: AquaHarmonics High Fidelity WEC Sim PTO and Control Model Validation, Sim Model
Collaborative effort between AquaHarmonics, Sandia National Laboratories (SNL), and the National Renewable Energy Laboratory (NREL) to revise and validate Aquaharmonics' full wave to wire model, allowing for reduced uncertainty and increased understanding of design requirements of...
Tom, N. and Leon, J. AquaHarmonics, Inc.
Dec 31, 2021
6 Resources
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6 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
0 Stars
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3 Resources
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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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4 Resources
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DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release
DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickl...
Stanley. . et al National Renewable Energy Laboratory
Apr 01, 2020
10 Resources
0 Stars
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10 Resources
0 Stars
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