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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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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This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183 These workbooks contain modeled estimates of long-run marginal CO2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 r...

Gagnon, . et al Energy Systems Integration

Aug 12, 2021
12 Resources
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Wave Energy Prize 1/20th Testing SEWEC Attenuator

Data from the 1/20th scale testing data completed on the Wave Energy Prize for the SEWEC team, including the 1/20th scale test plan, raw test data, video, photos, and data analysis results. The top level objective of the 1/20th scale device testing is to obtain the necessary meas...

Scharmen, W. Ricardo Detroit Technical Center

Oct 07, 2016
33 Resources
0 Stars
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TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report

This project evaluated how high-resolution, spatially distributed field data can be used to refine and validate site-scale hydrodynamic simulations of tidal channels. Use of such spatially-distributed field observations or site-scale hydrodynamic simulations will be needed for pro...

Harrison, T. et al University of Washington (NNMREC) Applied Physics Lab

Aug 20, 2020
20 Resources
0 Stars
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Wave Energy Prize 1/20th Testing Waveswing America Submerged Pressure Differential WEC

Data from the 1/20th scale testing data completed on the Wave Energy Prize for the Waveswing America team, including the 1/20th scale test plan, raw test data, video, photos, and data analysis results. The top level objective of the 1/20th scale device testing is to obtain the ne...

Scharmen, W. Ricardo Detroit Technical Center

Aug 19, 2016
43 Resources
0 Stars
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Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems

Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...

Hu, J. et al Lawrence Berkeley National Laboratory

Jan 31, 2022
10 Resources
0 Stars
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UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary

This data was collected between October 12 and December 15 of 2021 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). This data set includes over 29 days of grid connected turbine operation during this 65 day time f...

Wosnik, M. et al National Renewable Energy Laboratory

Dec 21, 2021
30 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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Cape EGS: Frisco 2-P Well Stimulation Microseismic Data

This dataset contains microseismic data acquired during the Frisco 2-P well stimulation project led by Fervo Energy, conducted between June 1 and June 11, 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed ...

Dadi, S. and Titov, A. Fervo Energy

Sep 19, 2024
26 Resources
0 Stars
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Utah FORGE: Discrete Fracture Network (DFN) Data

The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...

Finnila, A. and Podgorney, R. Golder Associates Inc.

Jun 24, 2020
66 Resources
0 Stars
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