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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
0 Stars
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Vermont High Resolution Wind Resource

A shapefile of annual average wind resource potential for Vermont at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was genera...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory

Jul 01, 2005
5 Resources
0 Stars
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Illinois High Resolution Wind Resource

A shapefile of annual average wind resource potential for Illinois, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This sha...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
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Salton Sea Geodatabase for Geothermal Exploration Artificial Intelligence

These files contain the geodatabases related to Salton Sea Geothermal Field. It includes all input and output files used with the Geothermal Exploration Artificial Intelligence. Input and output files are sorted into three categories: raw data, pre-processed data, and analysis (po...

Moraga, J. et al Colorado School of Mines

Apr 27, 2021
3 Resources
0 Stars
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Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...

Zhang, X. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2021
3 Resources
0 Stars
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Fort Bliss Geothermal Area Data: Temperature Profile, Logs, Schematic Model and Cross Section

This dataset contains a variety of data about the Fort Bliss geothermal area, part of the southern portion of the Tularosa Basin, New Mexico. The dataset contains schematic models for the McGregor Geothermal System, a shallow temperature survey of the Fort Bliss geothermal area. ...

Brandt, A. University of Utah

Nov 15, 2015
14 Resources
0 Stars
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Screening Tool for Equitable Adoption and Deployment of Solar (STEADy Solar)

The Screening Tool for Equitable Adoption and DeploYment of Solar (STEADy Solar) is a database and mapping tool designed to promoting clean energy investments for low-income communities across the United States. The tool indicates locations that may be eligible for the Investment ...

Ferrall-Wolf and McLarenNational Renewable Energy Laboratory

May 24, 2024
4 Resources
0 Stars
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Curated Test Fault Data Set

The curated fault experiment data set consists of tagged and fully described time series representing measured faults from the AFDD test building (ORNLs Flexible Research Platform [FRP]), including baseline performance and faulty performance. A total of 10 different faults are tes...

Kim, J. et al National Renewable Energy Laboratory

Sep 24, 2019
3 Resources
0 Stars
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Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value for 2012-2020

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

Oct 01, 2021
4 Resources
1 Stars
Publicly accessible

Annual Average Modeled Wind Speed for Puerto Rico and the Virgin Islands

Shapefiles of annual average modeled wind speed for Puerto Rico and the Virgin Islands at 70 and 100 m hub heights. These shapefiles were generated from a raster dataset with a 200 m resolution, in a UTM zone 19, datum WGS 84 projection system. This is supplemental data to the 50 ...

Heimiller, D. National Renewable Energy Laboratory

Nov 25, 2014
6 Resources
0 Stars
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HERO WEC V1.0 WEC-Sim Detailed Simulation Runs and Summary Data

Data sets from simulation runs include 144 wave cases that were run based on the WEC-Sim model (https://mhkdr.openei.org/submissions/483). The 144 wave cases represent waves with the following wave height and wave period ranges: Significant Wave Height: 0.25 4.0m in 0.25m incre...

Jenne, S. National Renewable Energy Laboratory

Aug 12, 2022
9 Resources
0 Stars
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Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value

Seel, J. et al Lawrence Berkeley National Lab

Sep 30, 2020
5 Resources
0 Stars
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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
0 Stars
Publicly accessible

Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT

This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...

Jogineedi, R. et al GTI Energy

Aug 30, 2024
56 Resources
0 Stars
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Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. Th...

Smith, J. and Beckers, K. Cornell University

Oct 29, 2019
10 Resources
0 Stars
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WaterTAP-REFLO Simulations of Solar Energy Integrated Desalination Systems for KBHDP and Permian Basin Case Studies

This submission includes model simulations for several solar-integrated desalination water treatment systems. The simulations revolve around two different case studies: Kay Bailey Hutchinson Desalination Plant (KBHDP) and Permian Basin Produced Water (Permian) There is one folder...

Sitterley, K. et al National Renewable Energy Laboratory

Aug 01, 2025
5 Resources
0 Stars
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Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage

Geothermal growth is limited by a lack of geographically dispersed high-temperature thermal resources and high initial upfront investment in characterization and well construction. This project intended to address the challenges of energy supply intermittency and enhance grid resi...

Malkewicz, N. et al University of Illinois

May 05, 2021
8 Resources
0 Stars
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Small Scale WEC Performance Modeling Data

Small Scale WEC Performance Modeling Data is performance data from downscaled models of common WEC devices and their calculated performance outputs. This data is used by the Small WEC interactive modeling tool hosted by PRIMRE. The devices include a point absorber, a two-body poin...

King, T. et al National Renewable Energy Laboratory

Nov 08, 2021
68 Resources
0 Stars
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Fine Scale Stress Test Modelling

Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, fo...

Smith, J. et al Lawrence Berkeley National Laboratory

Feb 22, 2021
14 Resources
0 Stars
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Utah FORGE: Composite 3D Seismic Velocity Model

This is a composite 3D seismic velocity that was constructed from compiled information from several local studies regarding seismic velocities and structural information. This seismic velocity model is provided in NonLinLoc format (slow_len), which is readily usable in NonLinLoc ...

Finger, C. et al University of Utah Seismograph Stations

Feb 09, 2024
1 Resources
0 Stars
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Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...

Smith, J. Cornell University

Oct 29, 2019
6 Resources
0 Stars
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Reference Site Condition Datasets for Floating Wind Arrays in the United States

Floating offshore wind farm design is highly site-specific, requiring detailed information about the specific conditions of a project area for realistic design studies. Unfortunately, publicly available site condition data for potential floating offshore wind project sites in the ...

Biglu. . et al National Renewable Energy Laboratory

Aug 02, 2024
4 Resources
0 Stars
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Washington Geothermal Play Fairway Analysis Heat, Permeability, and Fracture Model Data

This submission contains raster and vector data for the entire state of Washington, with specific emphasis on the three geothermal play fairway sites: Mount St. Helens seismic zone (MSHSZ), Wind River valley (WRV), and Mount Baker (MB). Data are provided for 3 major geothermal mo...

Steely, A. et al Washington Geological Survey

Dec 07, 2017
9 Resources
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Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: brady_som_output.gri, brady_som_output.grd, brady_som_output.* desert_som_output.gri, desert_som_output.grd, desert_som_outpu...