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Reactive Transport Modeling of Aquifer Thermal Energy Storage System at Stockton, NJ
This is the modeling data (input/output files of TOUGHREACT 4.10) used to simulate the reactive transport processes of the Aquifer Thermal Energy Storage (ATES) operations at Stockton University, NJ. Readme.txt lists all the files. TOUGHREACT 4.10 requires to reproduce the modelin...
Kumar, R. et al Lawrence Berkeley National Laboratory
Oct 20, 2021
4 Resources
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4 Resources
0 Stars
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Passive Seismic Emission Tomography Results at San Emidio Nevada
The utility of passive seismic emission tomography for mapping geothermal permeability has been tested at San Emidio in Nevada. The San Emidio study area overlaps a geothermal field in production since 1987 and another resource to the south of the production field. Passive seismic...
Warren, I. et al Ormat Technologies, Inc.
Dec 01, 2016
2 Resources
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2 Resources
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End Use Load Profile (EULP) of US Building Sector resulting from mass GHP retrofits
This collection of datasets describes the change (difference) in hourly energy consumption of the U.S. residential and commercial building stock while replacing existing HVAC systems with ground source heat pumps for all the balancing areas in the US, for all buildings eligible fo...
Liu, X. et al Oak Ridge National Laboratory
Apr 15, 2023
2 Resources
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2 Resources
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Utah FORGE Project 2439: Machine Learning for Well 16A(78)-32 Stress Predictions
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Kelley, M. et al Battelle Memorial Institute
Jun 19, 2023
1 Resources
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1 Resources
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Simulation Tools for Modeling Thermal Spallation Drilling on Multiple Scales
Widespread adoption of geothermal energy will require access to deeply buried resources in granitic basement rocks at high temperatures and pressures. Exploiting these resources necessitates novel methods for drilling, stimulation, and maintenance, under operating conditions that ...
Walsh, S. et al Lawrence Livermore National Laboratory
Jan 01, 2012
1 Resources
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1 Resources
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MASK3 for Advanced WEC Dynamics and Controls
This report outlines the "MASK3" wave tank test within the Advanced WEC Dynamics and Controls (AWDC) project. This test represents the final test in the AWDC project. The focus of the MASK3 test was to consider coordinated 3-degree-of-freedom (3DOF) control of a WEC in a realistic...
Coe, R. et al Sandia National Laboratories
May 01, 2019
4 Resources
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4 Resources
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Shallow EGS Regional Resource Potential and Map Snake River Plain
SMU Geothermal Lab developed a methodology to estimate shallow (1 km to 4 km) Enhanced Geothermal Systems (EGS) resource potential using an approach that utilizes recent geology and geophysical research along with new well data to improve the thermal conductivity model, mitigate i...
Batir, J. et al Southern Methodist University Huffington Department of Earth Sciences
Oct 30, 2020
2 Resources
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2 Resources
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CalWave Tank Testing Lir Deep Ocean Basin
Experimental tank testing report for CalWave's 1:20 & 1:30 scale prototype testing at the Lir National Ocean Test Facility in Ireland. Testing was completed in January 2018. Test report includes description of the scaled prototype, primary testing objectives, instrumentation and b...
Boerner, T. CalWave Power Technologies Inc.
Jan 15, 2018
1 Resources
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1 Resources
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Wave Classification Statistical Data for US Waters
Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.
Haas, K. Georgia Tech Research Corporation
Sep 21, 2016
1 Resources
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1 Resources
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Utah FORGE Project 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation
Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and after the stimulation. In geothermal production it is important to understand the existing stress field and the cha...
Vasco, D. et al Lawrence Berkeley National Laboratory
Apr 29, 2022
4 Resources
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4 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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1 Resources
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Original HANNA Mono-Radial Turbine Post Access Report
Final report on a TEAMER study undertaken by Alden Research Laboratory for the Mono-radial turbine invented by John Clark Hanna DBA: Hanna Wave Energy Primary Drives. The study is a predictive numerical and CFD (computational fluid dynamics) report of the mentioned Hanna Mono-Radi...
Hanna, J. Hanna Wave Energy Primary Drives
Mar 10, 2022
1 Resources
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1 Resources
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Magnetotelluric Data from Mountain Home, ID
This dataset includes magnetotelluric transfer functions in the form of EDI files for 16 stations collected by the USGS and 40 stations collected by Quantec Geoscience for Lawerence Berkeley National Lab around the Mountain Home area in Idaho. A 3D electrical resistivity model is ...
Peacock, J. and Gasperikova, E. US Geological Survey
Sep 18, 2020
2 Resources
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2 Resources
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Modeled Hourly Tidal Current Velocities, Directions, and Heights from May 1 September 1, 2005 at Two Points Near East Forelands and Tyonek in Cook Inlet, Alaska
This dataset includes modeled tidal current velocities, direction and depth at two locations in East and North Forelands (60.716, 151.434 and 61.024, 151.157) near Nikiski and Tyonek, respectively, in Cook Inlet, Alaska. Data from two grid cells were provided by the Pacific Northw...
Bond, B. et al University of Alaska Fairbanks
Oct 05, 2022
3 Resources
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3 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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3 Resources
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Understanding Constraints on Geothermal Sustainability Through Reservoir Characterization at Brady Geothermal Field, Nevada
The vast supply of geothermal energy stored throughout the Earth and the exceedingly long time required to dissipate that energy makes the world's geothermal energy supply nearly limitless. As such, this resource holds the potential to provide a large supply of the world's energy ...
Patterson, J. University of Wisconsin
Jul 11, 2018
1 Resources
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1 Resources
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Development of 3D Geological Model of Tuscarora Sandstone for Feasibility of Deep Direct-Use Geothermal at West Virginia University Main Campus
The subsurface uncertainty at West Virginia University Main Campus is dominated by the uncertainty in the projections of geofluid flowrate in the target formation, the Tuscarora Sandstone. In this paper, three cores from the heterogeneous reservoir, available through West Virginia...
Moore, J. et al West Virginia University
Oct 23, 2018
5 Resources
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5 Resources
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Utah FORGE: Seismic Reflection Data
This is 2D and 3D seismic reflection data from Utah FORGE reprocessed during Phase 2c. The readme file containing an explanation of the data including data formats, software that can be used, processing, and projection and datum used. The Reprocessing document gives the rationale ...
Miller, J. Energy and Geoscience Institute at the University of Utah
Jun 19, 2019
4 Resources
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4 Resources
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GEO2D Two-Dimensional Computer Model of a Ground Source Heat Pump System
This file contains a zipped file that contains many files required to run GEO2D. GEO2D is a computer code for simulating ground source heat pump (GSHP) systems in two-dimensions. GEO2D performs a detailed finite difference simulation of the heat transfer occurring within the worki...
Menart, J. Wright State University
Jun 07, 2013
3 Resources
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3 Resources
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EGS Collab Experiment 1: Earth Model Input Files
The EGS Collab is conducting experiments in hydraulic fracturing at a depth of 1.5 km in the Sanford Underground Research Facility (SURF) on the 4850 Level. A total of eight ~60m-long subhorizontal boreholes were drilled at that depth on the western rib of the West Access Drift. S...
Neupane, G. and Sigma-V, T. Idaho National Laboratory
Dec 19, 2019
6 Resources
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6 Resources
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NREL GIS Data: Continental United States Global Horizontal Solar Resource 10km Resolution (1998 2005)
This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. This data was developed using the State University of New York/Albany satellite radiation model. This...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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In curation
NREL GIS Data: Hawaii Photovoltaic (Tilt = Latitude) 10km Resolution (1998 2005)
This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. This data was developed using the State University of New York/Albany satellite radiation model. Thi...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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In curation
2 Resources
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In curation
2023 National Offshore Wind data set (NOW-23)
The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published about a decade ago and is curre...
Bodini, N. et al National Renewable Energy Laboratory
Jan 01, 2020
21 Resources
1 Stars
Curated
21 Resources
1 Stars
Curated
GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
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3 Resources
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Grain-Scale Failure in Thermal Spallation Drilling
Geothermal power promises clean, renewable, reliable and potentially widely-available energy, but is limited by high initial capital costs. New drilling technologies are required to make geothermal power financially competitive with other energy sources. One potential solution is ...
Walsh, S. et al Lawrence Livermore National Laboratory
Jan 01, 2012
1 Resources
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1 Resources
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