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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...

Buster, G. et al Upflow

Jun 30, 2021
11 Resources
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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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Northwest National Marine Renewable Energy Center, OR Final Technical Report & Appendices

In 2008, the US Department of Energy (DOE) Wind and Water Power Program issued a funding opportunity announcement to establish university-led National Marine Renewable Energy Centers. Oregon State University and the University of Washington combined their capabilities in wave and ...

Hellin, D. Northwest National Marine Renewable Energy Center

Jun 30, 2016
2 Resources
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Transient Cold-Climate Building Foundation Hygrothermal Experimental Data

The data consist of two years of continuous transient experimental measurements on the hygrothermal performance of concrete masonry block walls in a full basement in a cold climate (US DOE climate zone 7). The walls were insulated in compliance with the thermal requirements of the...

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

Jun 30, 2015
4 Resources
0 Stars
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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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Two-Phase Flow of Ferrofluids in Porous Media: Plateau-Rayleigh-like Instability and Suppression of Fingering

Includes six mp4 and one PDF files. The mp4 files show the percolation of ferrofluid in porous media under a magnetic field. The names of the authors are available in the PDF file. The data are from an experimental study performed at the Michigan Technological University. The expe...

Askari, R. and Khurana, M. Michigan Tech

Feb 27, 2021
8 Resources
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Magnetotelluric Data Collected in 2016 over the San Emidio Geothermal Field in Nevada

This data set includes the magnetotelluric (MT) data collected from October 21 to November 9, 2016 over the San Emidio geothermal field in Nevada by Quantec Geoscience USA Inc. on behalf of US Geothermal Inc. as part of a project entitled "A Novel Approach to Map Permeability Usi...

Folsom, M. et al Ormat Technologies, Inc.

Nov 09, 2016
11 Resources
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Development of a Downhole Tool Measuring Real-Time Concentration of Ionic Tracers and pH in Geothermal Reservoirs

For enhanced or Engineered Geothermal Systems (EGS) geothermal brine is pumped to the surface via the production wells, the heat extracted to turn a turbine to generate electricity, and the spent brine re-injected via injection wells back underground. If designed properly, the sub...

Hess, R. et al Sandia National Laboratories

Mar 31, 2014
1 Resources
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Seismic Survey 2016 Metadata at San Emidio, Nevada

1301 Vertical Component seismic instruments were deployed at San Emidio Geothermal field in Nevada in December 2016. The first record starts at 2016-12-05T02:00:00.000000Z (UTC) and the last record ends at 2016-12-11T14:00:59.998000Z (UTC). Data are stored in individual files in o...

Lord, N. et al University of Wisconsin

Dec 05, 2016
10 Resources
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Hybrid machine learning model to predict 3D in-situ permeability evolution

Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...

Elsworth, D. and Marone, C. Pennsylvania State University

Nov 22, 2022
4 Resources
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WHOLESCALE: Seismic Survey Data from San Emidio Nevada 2021

This dataset includes raw and processed seismic data from the 2021 seismic survey at the San Emidio geothermal field in Nevada. In April and May 2021, 37 tri-axial short period seismographs were deployed in a 1.8km diameter cluster centered on 40.367278 N, 119.409019 W. The first...

Lord, N. et al University of Wisconsin-Madison

Apr 06, 2021
6 Resources
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Snake River Plain FORGE: Site Characterization Data

The site characterization data used to develop the conceptual geologic model for the Snake River Plain site in Idaho, as part of phase 1 of the Frontier Observatory for Research in Geothermal Energy (FORGE) initiative. This collection includes data on seismic events, groundwater,...

Moos, D. and Barton, C. Idaho National Laboratory

Apr 18, 2016
49 Resources
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End-Use Load Profiles for the U.S. Building Stock

The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One way to achieve grid flexibility is to shed or shift demand to align with changing grid needs. To facilitate this, i...

Wilson, E. et al National Renewable Energy Laboratory (NREL)

Oct 14, 2021
8 Resources
1 Stars
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WHOLESCALE: Seismic Survey Metadata from San Emidio Nevada 2021

This is a collection of metadata from the 2021 seismic survey at the San Emidio geothermal field in Nevada. In April and May 2021, 37 tri-axial short period seismographs were deployed in a 1.8km diameter cluster centered on 40.367278 deg N, 119.409019 deg W. The first data record...

Lord, N. et al Department of Geoscience University of Wisconsin-Madison

Apr 06, 2021
10 Resources
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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