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Geochemistry and paleo-geothermal features Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project. A submission linking the full GitHub repository for our machine learning Jupyter Notebooks...

Faulds, J. and Ayling, B. Nevada Bureau of Mines and Geology

Nov 01, 2020
2 Resources
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal energy production. Phase 1 includes reservoir analyses to determine injector/producer well schemes that balance the generation of economically useful flow rates at the ...

A., T. Lawrence Livermore National Laboratory

Jan 01, 2012
9 Resources
0 Stars
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Renewable Electricity Futures Study Volume One

Renewable Electricity Futures Study Volume One. This is part of a series of four volumes describing exploring a high-penetration renewable electricity future for the United States of America. This data set is provides data for the entire volume one document and includes all data f...

Hand, . et al National Renewable Energy Laboratory

Jan 19, 2016
3 Resources
0 Stars
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Advanced Control Systems for Wave Energy Converters

This submission contains several papers, a final report, descriptions of a theoretical framework for two types of control systems, and descriptions of eight real-time flap load control policies with the objective of assessing the potential improvement of annual average capture eff...

Scruggs, J. et al Resolute Marine Energy, Inc.

Jan 30, 2017
4 Resources
0 Stars
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Radar ARL Wind Profilerwith RASS, Boardman Raw Data

**Overview** **Winds** A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Oct 28, 2015
1 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Condon Raw Data

**Overview** **Winds** A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Oct 28, 2015
1 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Prineville Raw Data

**Overview** **Winds** A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Oct 28, 2015
1 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Troutdale Raw Data

**Overview** **Winds** A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Dec 01, 2015
1 Resources
0 Stars
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Radar ESRL Wind Profiler with RASS, Wasco Airport Raw Data

**Overview** **Winds** A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Oct 28, 2015
1 Resources
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Practices Maintain Straight Hole in Crooked Hole Conditions, While Also Enabling Significant Gains in Drill Rate

Bottom hole assembly (BHA) designs were assessed in field trials for their ability to achieve critical low inclination requirements, while simultaneously enabling high drill rates. Because angle has historically been controlled by reducing weight on bit (WOB), these are often com...

Knudsen, S. et al Sandia National Laboratories

Apr 30, 2014
2 Resources
0 Stars
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Finite Element Analysis (FEA) for Water-Foam Fracturing of Granite Rock

In addition to the foam data that were obtained from literature and that were collected from the current study, simulation data was also generated from finite element analysis (FEA) conducted in this study using COMSOL Multiphysics software. The FEA models were built to simulate t...

Thakor, V. et al Temple University

May 04, 2021
1 Resources
0 Stars
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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...

Buster, G. et al Upflow

Jun 30, 2021
11 Resources
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Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)

This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...

Johnston, H. and Young, D. National Renewable Energy Laboratory

May 23, 2019
8 Resources
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Measure Guideline: Deep Energy Enclosure Retrofit for Interior Insulation of Masonry Walls and Flat Roofs

Measure Guideline: Deep Energy Enclosure Retrofit for Zero Energy Ready House Flat Roofs BSC TO5 Task 7.4 Deep Energy Enclosure Retrofit (DEER) for Interior Insulation of Masonry Walls Lawrence, MA 01840 This Measure Guideline describes a deep energy enclosure retrofit solution ...

Musunuru, S. et al Building Science Corporation

Apr 27, 2016
5 Resources
0 Stars
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2024 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

These data provide the 2024 update of the Electricity Annual Technology Baseline (ATB). Starting in 2015 NREL has presented the ATB, consisting of detailed cost and performance data, both current and projected, for electricity generation and storage technologies. The ATB products ...

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

Jun 24, 2024
11 Resources
1 Stars
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Utah FORGE: Milford Site Location, Seismometer Locations, Basin Depth Models, and Potentiometric Contours

This submission includes the geographic extent shapefile of the Milford FORGE site located in Utah, along with a shapefile of seismometer positions throughout the area, and models of basin depth and potentiometric contours.

Moore, J. Energy and Geoscience Institute at the University of Utah

Mar 09, 2016
4 Resources
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Final Report Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus

The purpose of this document is to describe the contents contained within Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) that serves as the final report for the project "Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy...

Tester, J. et al Cornell University

Oct 27, 2019
6 Resources
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Finite Volume Based Computer Program for Ground Source Heat Pump System Final Scientific Report

The goal of this project was to develop a detailed computer simulation tool for GSHP (ground source heat pump) heating and cooling systems. Two such tools were developed as part of this DOE (Department of Energy) grant; the first is a two-dimensional computer program called GEO2D ...

Menart, J. and Frederick, J. Wright State University

Jul 31, 2013
3 Resources
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Utah FORGE: Drilling Data for Student Competition

Diagnostic drilling data (Pason log files) from Well 58-32 (previously labeled MU-ESW1), which was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. This dataset includes both ...

Podgorney, R. et al Idaho National Laboratory

Dec 07, 2018
2 Resources
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HERO WEC V1 Upgrades SolidWorks Models (WEC, RO System, and Submersible Pump Housing)

The attached zip files include SolidWorks pack-and-go assemblies of NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter), the reverse osmosis (RO) assembly, and the submersible pump assembly that is used to provide flow to the RO assembly in the electric ...

Jenne, S. and Panzarella, J. National Renewable Energy Laboratory

Jan 08, 2024
4 Resources
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EGS Collab Experiment 1: Common Discrete Fracture Network

This package includes data and models that support hydraulic fracture stimulation and fluid circulation experiments in the Sanford Underground Research Facility (SURF). A paper by Schwering et al. (2020) describes the deterministic basis for developing a "common" discrete fracture...

Schwering, P. et al Sandia National Laboratories

Sep 18, 2019
4 Resources
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wfip2.model/retro.hrrr.01.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
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wfip2.model/retro.hrrr.01.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
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wfip2.model/retro.hrrr.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
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wfip2.model/retro.hrrr.02.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
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