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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
Publicly accessible
6 Resources
0 Stars
Publicly accessible
2017 Western Passage Tidal Energy Resource Characterization Measurements
These data are from tidal resource characterization measurements collected between April and July 2017 in Western Passage near Eastport, Maine, USA.
The dataset contains the following four sub-datasets, each of which is described in more detail in the README.pdf.
1. A bottom-mou...
Kilcher, L. et al National Renewable Energy Laboratory
Jul 31, 2017
33 Resources
0 Stars
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33 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
12 Resources
0 Stars
Publicly accessible
Tidal Energy Resource Characterization, Bottom Lander Measurements, Cook Inlet, AK, 2021
These datasets are from tidal resource characterization measurements collected on the Terrasond High Energy Oceanographic Mooring (THEOM) from 1 July 2021 to 30 August 2021 (60 days) in Cook Inlet, Alaska. The lander was deployed at 60.7207031 N, 151.4294998 W in ~50 m of water.
...
Kilcher, L. and McVey, J. National Renewable Energy Laboratory
Jul 01, 2021
25 Resources
0 Stars
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25 Resources
0 Stars
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
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
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22 Resources
0 Stars
Publicly accessible