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Distributed Generation Market Demand (dGen) model
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...
Stanley, T. et al National Renewable Energy Laboratory (NREL)
Oct 16, 2020
4 Resources
0 Stars
Curated
4 Resources
0 Stars
Curated
Wind Turbine / Reviewed Data
**Overview**
The SUMR-D CART2 turbine data are recorded by the CART2 wind turbine's supervisory control and data acquisition (SCADA) system for the Advanced Research Projects Agency–Energy (ARPA-E) SUMR-D project located at the National Renewable Energy Laboratory (NREL) Flatir...
Scholbrock, A. Wind Energy Technologies Office (WETO)
Oct 04, 2019
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence E Raw Data
**Overview**
Sequence E: Yaw Releases (P)
This test sequence used a downwind, rigid turbine with a 3.4° cone angle. The wind speeds
ranged from 7 m/s to 17 m/s. Initial yaw angles of ±90° were achieved. The blade tip pitch was
3°. The rotor rotated at 72 RPM. Blade and probe...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 27, 2018
1 Resources
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1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence R Raw Data
**Overview**
Sequence R: Step AOA, No Probes (P)
This sequence was designed to quantify the effect of the five-hole probes on the 3-D blade static
angle-of-attack response in the presence of rotational influences by repeating Sequence K without
five-hole probes. This test sequen...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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Publicly accessible
1 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (Feb 2011)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Sodar Vaisala Triton Wind Profiler, AON1 Processed 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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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON2 Processed 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
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Publicly accessible
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON3 Processed 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
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Publicly accessible
1 Resources
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Sodar Vaisala Triton Wind Profiler, AON4 Processed 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
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON5 Processed 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
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON6 Processed 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
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON7 Processed 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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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON8 Processed 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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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON9 Processed 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)
Nov 14, 2016
1 Resources
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1 Resources
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Repetitive Regeneration of Media #1 in a Dynamic Column Extraction using Brine #1
This data is from a regeneration study from a dynamic column extraction experiment where we ran a solution of REE's through a column of media #1 then stripped the REE's off the media using 2M HNO3 solution. We then re-equilibrated the media and repeated the process of running a RE...
Garland, G. Tusaar Corp.
Oct 14, 2015
4 Resources
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Publicly accessible
4 Resources
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2014)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Dec 01, 2015
7 Resources
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Publicly accessible
7 Resources
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DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Pauling, H. et al National Renewable Energy Laboratory
Jun 30, 2023
21 Resources
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21 Resources
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2023 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies
These data provide the 2023 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 09, 2023
13 Resources
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Curated
13 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Marone, C. et al Pennsylvania State University
May 14, 2021
3 Resources
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3 Resources
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Ground Source Heat Pump Computational Results
This data submission includes simulation results for ground loop heat pump systems located in 6 different cities across the United States. The cities are Boston, MA, Dayton, OH, Omaha, NE, Orlando, FL, Sacramento, CA, and St. Paul, MN. These results were obtained from the two-dime...
Menart, J. Wright State University
Jul 31, 2013
6 Resources
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Publicly accessible
6 Resources
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Sample IEEE123 Bus system for OEDI SI
Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder...
Elgindy, T. and Balasubramaniam, K. National Renewable Energy Laboratory
Sep 01, 2022
4 Resources
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4 Resources
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Utah FORGE: Phase 1a Tensor Strainmeter Data for the April, 2022 Stimulation of Well 16A(78)-32
Data from two Tensor Optical Fiber Strainmeters that were operational during Stages 1, 2, and 3 of the April, 2022 stimulation of well 16A(78)-32. Each csv file contains data from each stimulation stage (stage1, stage2, stage3) for both Phase 1a strainmeter installations (FS01, f...
DeWolf, S. and Murdoch, L. Clemson University
Sep 15, 2022
8 Resources
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8 Resources
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Snake River Plain FORGE: Well Data for WO-2
Well data for the WO-2 well located in eastern Snake River Plain, Idaho. This data collection includes lithology reports, borehole logs, temperature at depth data, neutron density and gamma data, and rock strength parameters for the WO-2 well.
This collection of data has been ass...
Podgorney, R. Idaho National Laboratory
Jul 29, 1991
9 Resources
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9 Resources
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Develop and verify soil/structure interaction for pile/foundation interaction
**Overview**
Phase II of the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) project was used to verify the implementation of a new soil-structure interaction (SSI) model for use within offshore wind turbine modeling software. The REDWIN...
Robertson, A. Wind Energy Technologies Office (WETO)
Jun 02, 2022
1 Resources
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1 Resources
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GEO2D Two-Dimensional Computer Model of a Ground Source Heat Pump System
This file contains a zipped file that contains many files required to run GEO2D. GEO2D is a computer code for simulating ground source heat pump (GSHP) systems in two-dimensions. GEO2D performs a detailed finite difference simulation of the heat transfer occurring within the worki...
Menart, J. Wright State University
Jun 07, 2013
3 Resources
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3 Resources
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