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Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report

The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...
Johnston, H. et al National Renewable Energy Laboratory
Jul 01, 2020
1 Resources
0 Stars
Publicly accessible

Low-Temperature Hydrothermal Resource Potential Estimate

Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessible...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
3 Resources
0 Stars
Publicly accessible

Sedimentary Geothermal Feasibility Colorado Well Database

Well data were mined from Geothermal Prospector (GTP), Southern Methodist University (SMU), the Colorado Oil and Gas Conservation Commission (COGCC), and the Colorado Geological Survey (CGS). The well data gathered was then used to assess sedimentary geothermal feasibility in the ...
Taverna, N. National Renewable Energy Laboratory
Oct 31, 2019
4 Resources
0 Stars
Publicly accessible

Low-Temperature Hydrothermal Resource Potential Estimate

Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessibl...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
4 Resources
0 Stars
Publicly accessible

Sedimentary Geothermal Feasibility in Eastern Nevada and Millard County, Utah Well Databases

In order to gather data to assess sedimentary geothermal feasibility in Nevada and Utah, state oil and gas and geothermal databases were serached for well files and well logs. Well data from the Nevada Bureau of Mines and Geology oil and gas and geothermal databases was mined for ...
Taverna, N. National Renewable Energy Laboratory
Nov 30, 2019
12 Resources
0 Stars
Publicly accessible

GEOPHIRES files for DDU techno-economic simulations

During 2017-2019, the U.S. Department of Energy funded six geothermal deep direct-use (DDU) projects to investigate feasibility of DDU for heating, cooling and thermal storage in the United States. In a follow-on study conducted at the National Renewable Energy Laboratory (NREL), ...
Beckers, K. and Kolker, A. National Renewable Energy Laboratory
Mar 31, 2021
1 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results

This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Geothermal Technologies Office, U. National Renewable Energy Laboratory
Sep 30, 2019
16 Resources
0 Stars
Publicly accessible

BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Curated

GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...
Beckers, K. National Renewable Energy Laboratory
Jun 30, 2020
1 Resources
0 Stars
Publicly accessible

GIS Data from the 2008 Carbon Sequestration Atlas of the United States and Canada: Deep Saline Formations

Shapefile for deep saline formations identified in the 2008 Carbon Sequestration Atlas of the United States and Canada.
Wood, J. and (NETL), N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL Geothermal GIS Data

This dataset is a qualitative assessment of geothermal potential for the U.S. using Enhanced Geothermal Systems (EGS) and based on the levelized cost of electricity with CLASS 1 being most favorable and CLASS 5 being least favorable. This dataset does not include shallow EGS resou...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Jan 16, 2015
1 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Plant Spacing Estimates

This shapefile represents estimated plant spacing distances. The estimates shown here were obtained considering the availability of cold water at a particular location based on two criteria, the deep-water velocities from HYCOM and a layer-depth constraint estimated from the gl...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Net Power (Summer Average)

This shapefile represents seasonal summer average net power estimates. The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep se...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Net Power (Winter Average)

This shapefile represents seasonal winter average net power estimates. The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep se...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

The BuildingsBench datasets consist of: Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock. 7 real residential and com...
Emami, P. and Graf, P. National Renewable Energy Laboratory
Dec 31, 2018
6 Resources
0 Stars
Publicly accessible

Ocean Thermal Energy Conversion (OTEC) Net Power (Annual Average)

This shapefile represents annual average net power estimates. The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep sea water t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

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

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Pauling, H. et al National Renewable Energy Laboratory
Jun 30, 2023
22 Resources
0 Stars
Publicly accessible

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
Publicly accessible