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Sodar Vaisala Triton Wind Profiler, AON3 Reviewed 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 30, 2015
1 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Nov 14, 2016
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

Stoelinga, M. Wind Energy Technologies Office (WETO)

Sep 30, 2015
1 Resources
0 Stars
Publicly accessible

Unified Field Study 1 (UFS-1)

The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the UFS-1 experiment, performed October to December 201...

Wolfrum, E. et al National Renewable Energy Laboratory

Sep 27, 2016
16 Resources
0 Stars
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GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results

This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...

Geothermal Technologies Office, U. National Renewable Energy Laboratory

Sep 30, 2019
16 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 2

The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...

Elbert, S. et al Pacific Northwest National Laboratory

Sep 20, 2024
29 Resources
0 Stars
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Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance

This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the efficient assessment of PV system and wind turbine performance for over 2,000 locations across the U.S. TSYs and TWYs are single synthetic years generated from the National Aeronautics and Spac...

Zeng, Z. et al Argonne National Laboratory

Jul 14, 2024
7 Resources
0 Stars
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Phased Retrofits in Existing Homes in Florida Phase I: Shallow and Deep Retrofits

The U.S. Department of Energy's Building America research team Building America Partnership for Improved Residential Construction is collaborating with Florida Power & Light (FPL) to conduct a phased residential energy-efficiency retrofit program. This research seeks to establish ...

Beal, D. et al University of Central Florida Florida Solar Energy Center

Apr 27, 2016
10 Resources
0 Stars
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Analysis of Existing Data from a Distributed Acoustic Sensing Experiment at Garner Valley, California

In September 2013, an experiment using Distributed Acoustic Sensing (DAS) was conducted at Garner Valley, a test site of the University of California Santa Barbara (Lancelle et al., 2014). This submission includes noise cross-correlation functions (NCF) . Each file includes a NCF ...

Zeng, X. University of Wisconsin

Mar 26, 2015
37 Resources
0 Stars
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M3 Wave DMP/APEX WEC Final Technical Report

This project successfully developed methods for numerical modeling of sediment transport phenomena around rigid objects resting on or near the ocean floor. These techniques were validated with physical testing using actual sediment in a large wave tank. These methods can be applie...

Morrow, M. et al M3 Wave

May 31, 2018
1 Resources
0 Stars
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DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period

This submission contains slow strain rates summed to radians over 30 second intervals [rad/s] derived from horizontal distributed acoustic sensing measurements (DASH) of Brady geothermal field during PoroTomo deployment (2016-Mar-14 to 2016-Mar-26). There is one file correspondin...

Reinisch, E. et al University of Wisconsin

Jun 27, 2018
20 Resources
0 Stars
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Geothermal Exploration Cost and Time

This paper describes the methodology used to define the baseline exploration suite of techniques (baseline), as well as the approach that was used to create the cost and time data set that populates the baseline. The resulting product, an online tool for measuring impact, and the ...

Jenne, S. National Renewable Energy Laboratory

Feb 13, 2013
1 Resources
0 Stars
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Geothermal Exploration Cost and Time Metric

The National Renewable Energy Laboratory (NREL) was tasked with developing a metric in 2012 to measure the impacts of RD&D funding on the cost and time required for geothermal exploration activities. The development of this cost and time metric included collecting cost and time da...

Jenne, S. et al National Renewable Energy Laboratory

Jan 01, 2013
1 Resources
0 Stars
Publicly accessible

Brady's Field GPS Time-Series Data

Daily position time-series for GPS station BRAD and BRDY in the NA12 reference frame.

Kreemer, C. University of Nevada

Dec 20, 2014
1 Resources
0 Stars
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Geothermal Exploration Cost and Time

The Department of Energy's Geothermal Technology Office (GTO) provides RD&D funding for geothermal exploration technologies with the goal of lowering the risks and costs of geothermal development and exploration. The National Renewable Energy Laboratory (NREL) was tasked with deve...

JenneNational Renewable Energy Laboratory

Dec 21, 2014
2 Resources
0 Stars
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Levelized Cost of Charging Electric Vehicles

This data set includes the levelized cost of charging (LCOC) and lifetime fuel cost savings (LFCS) values as reported in "Levelized Cost of Charging of Electric Vehicles in the United States." Values are reported at the state and national levels for battery electric vehicles (BEVs...

Borlaug. . et al National Renewable Energy Laboratory

Sep 18, 2020
2 Resources
0 Stars
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Fracture Sustainability Pressure, Temperature, Differential Pressure, and Aperture Closure Data

In these data sets, the experiment time, actual date and time, room temperature, sample temperature, upstream and downstream pressures (measured independently), corrected differential pressure (measured independently and corrected for offset and room temperature) indication of ape...

Kneafsey, T. Lawrence Berkeley National Laboratory

Sep 30, 2016
5 Resources
0 Stars
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Microhole Test Data

Drilling results from the microhole project at the Sandia High Operating Temperature test facility. The project is seeking to help reduce the cost of exploration and monitoring of geothermal wells and formations by drilling smaller holes. The tests were part of a control algorith...

Su, J. Sandia National Laboratories

May 23, 2016
5 Resources
0 Stars
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Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations

This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the April 2024 stimulation experiments at the Utah FORGE site. DAS data were acquired from well 16B(78)-32 by Neubrex and processed by GeoEnergie Suisse (GES), covering the period ...

Dyer, B. et al Energy and Geoscience Institute at the University of Utah

Apr 01, 2024
5 Resources
0 Stars
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GPS Station RINEX Files and Position Time-Series

Links to URL's with latest position time-series of GPS stations SEMN, SEMS, and GARL at the San Emidio Desert Geothermal Area as well as URL with links to archived RINEX files. The data is being taken as part of the WHOLESCALE project for the purpose of developing a protocol for s...

Feigl, K. University of Wisconsin

Oct 14, 2021
6 Resources
0 Stars
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Sodar Vaisala Triton Wind Profiler, AON3 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON5 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON9 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON2 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON4 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON6 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON7 Reviewed Data

Sodar Vaisala Triton Wind Profiler, AON8 Reviewed Data

Unified Field Study 1 (UFS-1)

GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results

ARPA-E Grid Optimization (GO) Competition Challenge 2

Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance

Phased Retrofits in Existing Homes in Florida Phase I: Shallow and Deep Retrofits

Analysis of Existing Data from a Distributed Acoustic Sensing Experiment at Garner Valley, California

M3 Wave DMP/APEX WEC Final Technical Report

DASH Slow Strain Rates from Brady Hot Springs Geothermal Field during PoroTomo Deployment Period

Geothermal Exploration Cost and Time

Geothermal Exploration Cost and Time Metric

Brady's Field GPS Time-Series Data

Geothermal Exploration Cost and Time

Levelized Cost of Charging Electric Vehicles

Fracture Sustainability Pressure, Temperature, Differential Pressure, and Aperture Closure Data

Microhole Test Data

Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations

GPS Station RINEX Files and Position Time-Series