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Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...

Duzgun, H. et al Colorado School of Mines

Jan 08, 2021
12 Resources
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Python Codebase and Jupyter Notebooks Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, a...

Brown, S. and Smith, C. Nevada Bureau of Mines and Geology

Jun 30, 2022
4 Resources
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Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data

This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar. Three different household-level surveys were...

Sigrin. . et al National Renewable Energy Laboratory

May 22, 2017
13 Resources
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Hydrothermal mineral alterations in the Brady and Desert Peak geothermal fields

Results of the analysis of HyMap's spectra against know hydrothermally altered minerals in the Brady-Desert Peak Geothermal Areas. The analysis was performed using ENVI's Target Detection process against USGS library spectra for Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite...

Moraga, J. Colorado School of Mines

Oct 01, 2021
4 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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Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

*These files add to and replace same-named files found within Submission 559 (hover over file display names to see actual file names in bottom-left corner of screen)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-st...

Camp, E. Cornell University

Aug 18, 2016
16 Resources
0 Stars
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2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provid...

Sergi, B. et al National Renewable Energy Laboratory (NREL)

Mar 25, 2025
8 Resources
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Utah FORGE: GIS Well Temperature Data

This is a GIS point feature shapefile representing wells, and their temperatures, that are located in the general Utah FORGE area near Milford, Utah. There are also fields that represent interpolated temperature values at depths of 200 m, 1000 m, 2000 m, 3000 m, and 4000 m. in deg...

Gwynn, M. et al Energy and Geoscience Institute at the University of Utah

Feb 28, 2018
1 Resources
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Tularosa Basin Play Fairway: Weights of Evidence Models

These models are related to weights of evidence play fairway anlaysis of the Tularosa Basin, New Mexico and Texas. They were created through Spatial Data Modeler: ArcMAP 9.3 geoprocessing tools for spatial data modeling using weights of evidence, logistic regression, fuzzy logic a...

Brandt, A. University of Utah

Dec 01, 2015
2 Resources
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TEAMER: Numerical Model of IProTech PIP WEC Device

iProTech PIP wave energy converter (WEC) is a slack moored, single hull device with no moving parts in the water, joints or bearings. This submission includes data of the simulation, reports, and code for the iProTech PIP (WEC) project. The organization of the data included in the...

Ogden, D. et al IProTech

Nov 02, 2021
2 Resources
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TEAMER: DAISY Variant and Tether Tests, Admirality Inlet, WA

Acoustic data and metadata from Drifting Acoustic Instrumentation SYstem (DAISY) testing in Admiralty Inlet (connecting Puget Sound to the Strait of San Juan de Fuca) in July 2022. Tests focused on occurrences of flow noise for three hydrophone package variants and on the potentia...

Crisp, C. et al University of Washington

Jul 14, 2022
6 Resources
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Tularosa Basin Play Fairway Analysis: Partial Basin and Range Heat and Zones of Critical Stress Maps

Interpolated maps of heat flow, temperature gradient, and quartz geothermometers are included as TIF files. Zones of critical stress map is also included as a TIF file. The zones are given a 5km diameter buffer. The study area is only a part of the Basin and Range, but it does inc...

Brandt, A. University of Utah

Nov 15, 2015
4 Resources
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TEAMER: Numerical Modeling of WECs to Support OES Task 10

This submission contains the files for reproducing the waves only and sphere test article simulations for the experimental setup (three different wave conditions) associated with the Teamer Request for Technical Support 9 (RFTS 9) fluid dynamics simulations to support the Ocean En...

Meuris, B. et al Sandia National Laboratories

Sep 23, 2024
1 Resources
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ASTER Thermal Anomalies in Western Colorado

This layer contains the areas identified as areas of anomalous surface temperature from ASTER satellite imagery. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. Areas that had temperature greater than 2o, and ar...

E., R. Flint Geothermal, LLC

Jan 01, 2013
1 Resources
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Structural Orientations Adjacent to Some Colorado Geothermal Systems

Structural orientations (fractures, joints, faults, lineaments, bedding orientations, etc.) were collected with a standard Brunton compass during routine field examinations of geothermal phenomena in Colorado. Often multiple orientations were taken from one outcrop. Care was taken...

, R. Flint Geothermal, LLC

Feb 01, 2012
1 Resources
0 Stars
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Planning for the Evolution of the Electric Grid with a Long-Run Marginal Emission Rate Data and Code

Data and code generated for the paper "Planning for the evolution of the electric grid with a long-run marginal emission rate," Pieter Gagnon and Wesley Cole, 2022.

Gagnon and ColeNational Renewable Energy Laboratory

Feb 02, 2022
5 Resources
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Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value

Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...

Seel, J. et al Lawrence Berkeley National Lab

Sep 30, 2020
5 Resources
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Competing Use Analysis for Offshore Renewables and Subsea Cables

Demand for abundant and diverse resources in the oceans is growing, necessitating marine spatial planning. To inform development of Marine Hydrokinetic (MHK) and Offshore Wind (OSW) resources, the Department of Energy (DOE) has asked NREL to identify the competing uses areas betwe...

Best, B. and Kilcher, L. National Renewable Energy Laboratory

Aug 29, 2019
3 Resources
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DEEPEN 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. Part of the DEEPEN project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical...

Taverna, N. et al National Renewable Energy Laboratory

Jun 30, 2023
27 Resources
0 Stars
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EGS Collab Experiment 1: TOUGH2-CSM Simulation of Embedded Natural Fractures and Chemical Tracer Transport and Sorption

The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scal...

Johnston, B. et al National Renewable Energy Laboratory

Jun 07, 2019
4 Resources
0 Stars
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Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data

This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183 These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the...

Gagnon. . et al National Renewable Energy Laboratory

Aug 12, 2021
12 Resources
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Alaska's Coal Resources: Special Report SR 37 (1986)

This GIS data contains the location of coal resources within the Sate of Alaska and was created in cooperation with the Alaska Coal Association. Total hypothetical coal resources in Alaska exceed 5.5 trillion short tons, equal to about half the estimated coal resources of the Unit...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Nov 29, 2007
2 Resources
0 Stars
In curation

Estimated Proved and Unproved Oil and Gas Reserves, Gulf of Mexico: 2006

The US Department of Interior's (DOI) Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) publishes oil and gas reserve data corresponding to the report published in 2009 by the DOI entitled, "Outer Continental Shelf Estimated Oil and Gas Reserves Gulf of Mexico...

Hallett, K. and (BOEMRE), U. National Renewable Energy Laboratory

Nov 30, 2009
5 Resources
0 Stars
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Alaska Energy Infrastructure: Pipelines and Electrical Lines

Energy-related infrastructure information from the Alaska Department of Natural Resources (ADNR). Specifically, the data included depicts pipeline locations and electrical power line locations in Alaska as digitized primarily form 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles...