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Utah FORGE: Well 16B(78)-32 Drilling Data

This drilling data for Utah FORGE well 16B(78)-32 include a well survey, core summary, mud and mud temperature logs, daily reports of the drilling process, and additional data from the Pason oil and gas company. Well 16B(78)-32 serves as the production well for reservoir creation...

McLennan, J. et al Energy and Geoscience Institute at the University of Utah

Jul 03, 2023
9 Resources
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Geologic Map and Cross Sections of the McGinness Hills Geothermal Area GIS Data

Geologic map data in shapefile format that includes faults, unit contacts, unit polygons, attitudes of strata and faults, and surficial geothermal features. 5 cross-sections in Adobe Illustrator format. Comprehensive catalogue of drill-hole data in spreadsheet, shapefile, and Ge...

E., J. University of Nevada

Dec 31, 2013
1 Resources
0 Stars
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Control of an AUV with deployable energy-harvesting kite

This paper examines the control of an autonomous underwater vehicle (AUV) with a deployable energy-harvesting kite for oceanographic observation and surveillance. The proposed design and control strategies specifically address objectives of achieving high-payload, long-endurance A...

Reed, J. et al North Carolina State University

Sep 02, 2019
1 Resources
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Cone Penetration Tests at the PacWave South Test Site

This ZIP archive contains cone penetration test data from the PacWave South Test Site. The data were collected in September 2023 aboard the ship Seacor Lee operating out of the Port of Newport, OR. The tests were performed by ConeTec using an AP van den Berg ROSON-100. The cone it...

Evans, M. Pacific Marine Energy Center (PMEC)

Sep 07, 2023
6 Resources
0 Stars
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Dynamically Downscaled Hourly Future Weather Data with 12-km Resolution Covering Most of North America

This is an hourly future weather dataset for energy modeling applications. The dataset is primarily based on the output of a regional climate model (RCM), i.e., the Weather Research and Forecasting (WRF) model version 3.3.1. The WRF simulations are driven by the output of a genera...

Zeng, Z. et al Argonne National Laboratory

Oct 03, 2023
9 Resources
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Observation-based solar and wind power capacity factors and power densities Wind Plant Data

Information on the 430 wind power plants used in the publication "Observation-based solar and wind power capacity factors and power densities", initially based on the Wind Power Plant locations released by the US Energy Information Administration and the individual wind turbine lo...

Miller, L. Harvard University

Nov 23, 2018
3 Resources
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Innovative Technologies to Overcome Interface Challenges for Wall Retrofit Systems

In this project, we will develop a system of computer-assisted, automated workflows to specify, manufacture, and install panelized retrofit systems, focusing particularly on panel joints and interface detailing between the panels and facade openings. The proposed system will subst...

Harris, C. et al National Renewable Energy Laboratory (NREL)

Dec 13, 2021
3 Resources
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Paisley Oregon Geothermal Plant Operated by Surprise Valley Electrification 2016 Operational Information

This submission includes an Electricity Generation Summary, Maintenance Logs, Detailed Operations Data, Operating Cost Summary, and an Operations overview at the Paisley Oregon Geothermal Plant. Data uploaded for SVEC by Tom Williams, NREL

Culp, E. Surprise Valley Electrification Corp. (SVEC)

Jan 01, 2017
5 Resources
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Conductance Steamflow Relationship

These histograms represent our calibration of conductance of a volcanic geothermal field (with a clay cap) and the observed steam flow rates. Darajat is a vapor geothermal field located in West Java, Indonesia. First production from the field was started in 1994 and additional cap...

Trainor-Guitton, W. Lawrence Livermore National Laboratory

Apr 01, 2015
2 Resources
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Fallon FORGE: Seismic Reflection Profiles

Newly reprocessed Naval Air Station Fallon (1994) seismic lines: pre-stack depth migrations, with interpretations to support the Fallon FORGE (Phase 2B) 3D Geologic model. Data along seven profiles (>100 km of total profile length) through and adjacent to the Fallon site were re-...

Blankenship, D. et al Sandia National Laboratories

Feb 01, 2018
3 Resources
0 Stars
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...

Kelley, M. et al Battelle Memorial Institute

Jun 19, 2023
1 Resources
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G-Function Library for Modeling Vertical Bore Ground Heat Exchanger

This library contains g-functions (thermal response functions) for standard, regularly spaced vertical borehole ground heat exchangers. In total, it contains 34, 321 configurations. To permit interpolation, each configuration has g-functions for heights of 24, 48, 96, 192, and 384...

Spitler, J. et al Oak Ridge National Laboratory

Jun 30, 2021
10 Resources
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Low Temperature Geothermal Resource Assessment for Desalination in United States

This data is a compilation of well observations from the Southern Methodist University (SMU) and Association of American State Geologists (AASG), location of identified low temperature geothermal systems from United States Geological Survey (USGS), and low temperature geothermal w...

Akar, S. and Turchi, C. National Renewable Energy Laboratory

Sep 30, 2016
6 Resources
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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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Stanford Thermal Earth Model for the Conterminous United States

Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....

Aljubran, M. and Horne, R. Stanford University

Mar 14, 2024
9 Resources
0 Stars
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Demand Response Across the Continental US for 2006

This project estimates hourly demand response availability across the continental U.S. for the year 2006. The resulting data set is disaggregated by balancing authority area, end use, and grid application. End uses include 14 categories across residential, commercial, industrial a...

Ma, S. Office of Energy Efficiency and Renewable Energy

Sep 12, 2016
6 Resources
0 Stars
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Wind for Schools Wind Turbine Data

This dataset is a series of wind turbine data collected for the Wind for Schools project. The U.S. Department of Energy funded the Wind for Schools project, which helped develop a future wind energy workforce by encouraging students at higher education institutions to join Wind Ap...

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

Jan 01, 2012
4 Resources
0 Stars
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Techno-Economic Assessment for Integrating Biosorption into Rare Earth Recovery Process

The current uncertainty in the global supply of rare earth elements (REEs) necessitates the development of novel extraction technologies that utilize a variety of REE source materials. Herein, we examined the techno-economic performance of integrating a biosorption approach into ...

Jiao, Y. et al Lawrence Livermore National Laboratory

Jul 01, 2017
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON1 Raw Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 07, 2015
1 Resources
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