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Utah FORGE: Well 16A(78)-32 Core-Flooding Experiment Results
This dataset contains core-flood experimental results from the Utah FORGE project, generated through laboratory tests at Lawrence Livermore National Laboratory. The experiments were conducted at temperatures of 100C and 200C using core samples from the 16A(78)-32 well. The primary...
Smith, M. et al Lawrence Livermore National Laboratory
Apr 04, 2024
1 Resources
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1 Resources
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University of Louisiana at Lafayette
A partnership with the University of Louisiana and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance t...
Andreas and RitterNational Renewable Energy Laboratory
Feb 13, 2024
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University of Florida
A partnership with the University of Florida and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance to ...
Andreas and ScheffeNational Renewable Energy Laboratory
Feb 13, 2024
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1 Resources
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NWEI AZURA Data for February 2018 Measured by MOIS (NREL)
Performance data (motion, power, mooring loads, position, heading, MOIS status) for the AZURA WEC operating at the Hawaii Wave Energy Test Site (WETS). Measured by Modular Ocean Instrumentation System (MOIS). These data are for the month of February 2018. Note that the WEC was dep...
Driscoll, R. National Renewable Energy Laboratory
Sep 30, 2018
6 Resources
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6 Resources
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ARPA-E PERFORM datasets
Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021....
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Aug 18, 2022
3 Resources
1 Stars
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3 Resources
1 Stars
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Wave Energy Prize 1/50th Testing Principle Power Oscillating Water Column
This submission of data includes all the 1/50th scale testing data completed on the Wave Energy Prize for the Principle Power team, and includes:
1/50th test data (raw & processed)
1/50th test data video and pictures
1/50th Test plans and testing documents
SSTF_Submission (sum...
Scharmen, W. Ricardo Detroit Technical Center
Jan 08, 2016
12 Resources
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12 Resources
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Alaskas Rural Power Systems Upgrade Program Project Locations
This data contains locations of the projects maintained by the Rural Power Systems Upgrade Program. Over 350 locations are included in the dataset, including those projects in remote villages and communities throughout the state of Alaska. The location data provides a means by whi...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2009
2 Resources
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In curation
2 Resources
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In curation
LCOE Baseline for RME Surge WEC Device
This submission includes all the data to support an LCOE baseline assessment for the Resolute Marine Energy (RME) Surge WEC device.
Previsic, M. et al Re Vision Consulting
Jul 19, 2017
4 Resources
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4 Resources
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Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data
**Overview**
The WindCube v2 was co-located with Site 300’s 52-m-tall meteorological tower so that measurements below 40 m could also be observed. The meteorological tower has three measurement levels: 10 m, 23 m, and 52 m. Wind speed was measured with a cup anemometer; wind di...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Chaffee County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Dolores County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Garfield County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Routt County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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Analyzed Boise Data for Oscillatory Hydraulic Tomography
Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...
Lim, D. University of Wisconsin
Jul 01, 2015
8 Resources
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8 Resources
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Areas of Weakly Anomalous to Anomalous Surface Temperature in Archuleta County, Colorado, as Identified from ASTER Thermal Data
Note: This "Weakly Anomalous to Anomalous Surface Temperature" dataset differs from the "Anomalous Surface Temperature" dataset for this county (another remotely sensed CIRES product) by showing areas of modeled temperatures between 1o and 2o above the mean, as opposed to the grea...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Fremont County, Colorado
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 7 Raw Data
**Overview**
Sequence 7: Shroud Operating (P)
This test sequence used a downwind, rigid turbine with a 3.4° cone angle. The wind speed ranged
from 5 m/s to 25 m/s. Turntable angles from 0° to 30° were achieved, but the yaw error angle was
maintained at 0° by adjusting the na...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Routt County, Colorado
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, San Miguel County, Colorado
This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
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Utah FORGE: Well 16B(78)-32 Extended Dual Well Circulation Testing Fiber Optic Monitoring Report August 2024
This report documents the post-hydraulic fracturing extended circulation test between Utah FORGE wells 16A and 16B conducted in August 2024. In well 16B, fiber optic measurements of Rayleigh frequency shift distributed strain sensing (RFS-DSS) and distributed temperature sensing ...
Jurick, D. et al Neubrex Energy Services (US), LLC
Aug 30, 2024
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System Advisor Model (SAM)
The System Advisor Model (SAM) is a performance and financial model designed to facilitate decision making for people involved in the renewable energy industry. SAM makes performance predictions and cost of energy estimates for grid-connected power projects based on installation a...
Blair, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
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ORNL NILMS Project Yarnell Station Research House
DOE funded research for NILMS and fault detection for small and medium commercial buildings. This contains notes, documentation, and data from testing at the Yarnell Station research house. The data can be used to study non-intrusive load monitoring approaches.
Fugate, D. and Laboratory, O. Oak Ridge National Laboratory
Mar 22, 2017
3 Resources
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3 Resources
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HERO WEC V1.0 SolidWorks Model
The attached zip file includes a SolidWorks pack-and-go assembly of NREL's HERO WEC (hydraulic and electric reverse osmosis wave energy converter) V1.0. This model does not include all aspects of the design (i.e. RO (reverse osmosis) system, electrical enclosure, hose, cable) it o...
Jenne, S. National Renewable Energy Laboratory
Aug 12, 2022
2 Resources
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2 Resources
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Fish Detection AI, sonar image-trained detection, counting, tracking models
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...
Gutstein, S. et al Water Power Technology Office
Aug 25, 2024
6 Resources
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6 Resources
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