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Conductance Steamflow Relationship at Darajat Geothermal Field

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
0 Stars
Publicly accessible

Utah FORGE: Milford Triaxial Test Data and Summary from EGI labs

Six samples were evaluated in unconfined and triaxial compression, their data are included in separate excel spreadsheets, and summarized in the word document. Three samples were plugged along the axis of the core (presumed to be nominally vertical) and three samples were plugged ...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 01, 2016
8 Resources
0 Stars
Publicly accessible

INGENIOUS Thermal Conductivity Measurement Source Categorization

Thermal conductivity (TC) data taken for different wells at a specified drill depth. This is an abridged version of the complete SMU heat flow database, downloaded from the SMU node of the NGDS at the beginning of INGENIOUS (approximately April 2021), and filtered to the INGENIOUS...
Batir, J. and Gentry, E. University of Nevada, Reno
Jun 01, 2021
1 Resources
0 Stars
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Model and experimental validation of ocean kite dynamics and controls

This submission includes two peer-reviewed papers from researchers at North Carolina State University presenting the modeling and lab-scale experimentation of the dynamics and control of a tethered tidal ocean kite. Below are the abstracts of each file included in the submission. ...
Vermillion, C. et al North Carolina State University
Mar 01, 2020
2 Resources
0 Stars
Publicly accessible

Future Wind Energy Resources and Cost Uncertainties Across the United States

This dataset contains results estimating projections of change of annual capacity factors and levelized cost of energy for several turbine technologies in the 2024 Annual Technology Baseline (ATB). Projections of change are based on downscaled earth system model (ESM) data from Su...
Buster, G. et al National Renewable Energy Lab (NREL)
Nov 03, 2025
7 Resources
0 Stars
Publicly accessible

Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems

This is a final technical report for the project: Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems (EGS). The goal is to demonstrate the feasibility of foam fracturing in EGS applications. The project, led by Oak Ridge National Laboratory (ORNL), wa...
Wang, H. et al Oak Ridge National Laboratory
May 17, 2022
3 Resources
0 Stars
Publicly accessible

Lidar CU WindCube V1 Profiler, Troutdale Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 19, 2015
1 Resources
0 Stars
Publicly accessible

Lidar CU WindCube V1 Profiler, Wasco Airport Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Feb 22, 2016
1 Resources
0 Stars
Publicly accessible

Lidar CU WindCube V2 Profiler, Gordons Ridge Reviewed Data

**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR 22 dB are included in these 2-min averaged files.
Lundquist, J. Wind Energy Technologies Office (WETO)
Nov 15, 2015
1 Resources
0 Stars
Publicly accessible

Conducting a 3D Converted Shear Wave Project to reduce exploration risk at Wister, CA: Geothermal Technologies Program 2011 Peer Review

2011 Peer Review of the 'Conducting a 3D Converted Shear Wave' Project to reduce exploration risk at Wister, CA.
Matlick, S. Ormat Nevada Inc
Jun 01, 2011
1 Resources
0 Stars
Publicly accessible

Glass Buttes Well 52-33 Core Log

Core log from Glass Buttes Well 52-33, drilled by Geodrill Rig 6 in 2014 to a depth of 3000 feet. Logged at 500 ft intervals.
Akerley, J. Ormat Nevada Inc
Oct 26, 2014
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence D Raw Data

**Overview** Sequences B, C, and D: Downwind Baseline (F), Downwind Low Pitch (F), Downwind High Pitch (F) This test sequence used a downwind, teetered turbine with a 3.4° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of ±180° were achieved at low wind sp...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 14, 2018
1 Resources
0 Stars
Publicly accessible

Penrose Well Temperatures

Penrose Well Temperatures Geothermal waters have been encountered in several wells near Penrose in Fremont County, Colorado. Most of the wells were drilled for oil and gas exploration and, in a few cases, production. This ESRI point shapefile utilizes data from 95 wells in and a...
Christopherson, K. Flint Geothermal, LLC
Mar 15, 2013
1 Resources
0 Stars
Publicly accessible

Tularosa Basin Play Fairway Analysis: Methodology Flow Charts

These images show the comprehensive methodology used for creation of a Play Fairway Analysis to explore the geothermal resource potential of the Tularosa Basin, New Mexico. The deterministic methodology was originated by the petroleum industry, but was custom-modified to function ...
Brandt, A. University of Utah
Nov 15, 2015
3 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence B Raw Data

**Overview** Sequences B, C, and D: Downwind Baseline (F), Downwind Low Pitch (F), Downwind High Pitch (F) This test sequence used a downwind, teetered turbine with a 3.4° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of ±180° were achieved at low wind sp...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 14, 2018
1 Resources
0 Stars
Publicly accessible

UAE6 Wind Tunnel Tests Data UAE6 Sequence C Raw Data

**Overview** Sequences B, C, and D: Downwind Baseline (F), Downwind Low Pitch (F), Downwind High Pitch (F) This test sequence used a downwind, teetered turbine with a 3.4° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of ±180° were achieved at low wind sp...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 14, 2018
1 Resources
0 Stars
Publicly accessible

Installation of an Agrivoltaic System Influences Microclimatic Conditions and Leaf Gas Exchange in Cranberry

Cranberry production is vital to the economy of Massachusetts and in 2018 the Massachusetts Department of Energy Resources launched the Solar Massachusetts Renewable Target (SMART) program to create financial incentives for agrivoltaic systems. Agrivoltaic systems utilize the same...
Mupambi, G. et al University of Massachusetts Amherst
Jun 23, 2022
1 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2535: Report on Borehole EM Data Collection and Imaging with the VEMP Field System

This report outlines electromagnetic field measurements that were made after stimulation at Utah FORGE in May of 2024. The measurements involved lowering an electrode to ~3500' in well 16A to energize the steel casing as part of the electric source, with the return electrode locat...
Alumbaugh, D. et al Lawrence Berkeley National Laboratory
Sep 05, 2024
1 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Great Salt Lake Composition and Rare Earth Speciation Analysis

We have conducted aqueous speciation analyses of the Great Salt Lake (GSL) brine sample (Table 1) and a mock geo sample (Table 2) spiked with 1 ppb Tb and 100 ppb Tb. The GSL speciation (Figure 1) aligns with our basic speciation expectations that strong carbonate complexes would ...
Jiao, Y. et al Lawrence Livermore National Laboratory
Apr 19, 2017
1 Resources
0 Stars
Publicly accessible

Utah FORGE 3-2514: Strain Sensing Array for Deformation Characterization 2024 Annual Workshop Presentation

This is a presentation on the Strain Sensing Array to characterize deformation at the FORGE site project by Clemson University, presented by Lawrence Murdoch. The project's objective was to evaluate the feasibility of measuring and interpreting tensor strain data to improve the pe...
Murdoch, L. et al Energy and Geoscience Institute at the University of Utah
Aug 13, 2024
1 Resources
0 Stars
Publicly accessible

wfip2.model/realtime.hrrr_esrl.graphics.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)
Dec 14, 2015
1 Resources
0 Stars
Publicly accessible

wfip2.model/refcst.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)
Jan 31, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/refcstext.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
Publicly accessible

wfip2.model/refcstext.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
Publicly accessible
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