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TEAMER: Wave and Current Energy Converter Modeling Workshop Materials
This dataset contains the full set of training materials used in a marine hydrokinetic (MHK) modeling workshop conducted by Sandia National Laboratories for the University of Alaska Fairbanks, funded through the U.S. Department of Energy's TEAMER program. The workshop focused on t...
McWilliams, S. et al Sandia National Laboratories
Apr 18, 2025
7 Resources
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7 Resources
0 Stars
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Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage
Geothermal growth is limited by a lack of geographically dispersed high-temperature thermal resources and high initial upfront investment in characterization and well construction. This project intended to address the challenges of energy supply intermittency and enhance grid resi...
Malkewicz, N. et al University of Illinois
May 05, 2021
8 Resources
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8 Resources
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Lidar California Leosphere Windcube 866 (130), Morro Bay Processed Data
**Overview**
The purpose of this dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various data streams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted...
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Sep 28, 2020
1 Resources
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1 Resources
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TEAMER: OpenFAST Modeling and Simulation of the Aquantis AQ10 Marine Hydrokinetic Turbine
This dataset was developed under TEAMER technical support (CRD-21-17763-0) to model the Aquantis AQ10, a spar buoy-based marine hydrokinetic turbine, using the OpenFAST simulation framework. The project transitioned modeling from the proprietary Tidal Bladed tool to OpenFAST to en...
Swales, H. and Tran, T. Aquantis, Inc.
Jul 31, 2025
3 Resources
0 Stars
Publicly accessible
3 Resources
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Publicly accessible
Utah FORGE 3-2417: Meteorological Data During 2024 Stimulation
This preliminary data archive includes meteorological data recorded at the Utah FORGE facility over the period of time including the 16A/16B stimulation activities, largely March/April/May of 2024. This information may prove useful for understanding seismic and other instrumentati...
Ajo-Franklin, J. Rice University
May 09, 2024
5 Resources
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5 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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Spatial Analysis of CIRES ASTER and LANDSAT thermal infrared anomalies
CIRES provided polygon shapefiles showing areas of anomalously warm ground, derived from ASTER and LANDSAT remotely sensed thermal infrared imagery. Partly from these anomalies, and partly through other evidence layers, CIRES came up with 'polygons' representing areas prospective ...
Zehner, R. Flint Geothermal, LLC
May 26, 2011
1 Resources
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1 Resources
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National Renewable Energy Laboratory/Habitat for Humanity Zero Energy Home: A Cold Climate Case Study for Affordable Zero Energy Homes
The design of this 1,280-square-foot, three-bedroom Habitat for Humanity of Metro Denver zero energy home carefully combines envelope efficiency, efficient equipment, appliances and lighting, and passive and active solar features to reach the zero energy goal. The home was designe...
Norton, P. et al National Renewable Energy Laboratory
Jul 21, 2016
4 Resources
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4 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Reviewed Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-10 Raw Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Raw Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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Publicly accessible
1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-4 Reviewed Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Raw Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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Publicly accessible
1 Resources
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Surface Meteorological Station PNNL 10m Sonic, Physics site-5 Reviewed Data
**Overview**
This dataset provides fast response wind and virtual sonic temperature data.
**Data Details**
Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been veri...
Pekour, M. and Berg, L. Wind Energy Technologies Office (WETO)
Mar 31, 2016
1 Resources
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1 Resources
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NWTC Ceilometer (1) Pre-campaign / Derived Data
**Overview**
This instrument will be testing the data transfer process before deploying the campaign.
The netCDF L3 data file has level 3 (L3) data that have gone through the calculation service and contains all the data from the algorithms, including mixing layer height values ...
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
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1 Resources
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Programs and Code for Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Moraga, J. Colorado School of Mines
Apr 27, 2021
11 Resources
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11 Resources
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Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw Data
**Overview**
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
**Data Details**
* X (column 1) is a component of wind cm/s plus toward north.
* Y (column 2) is a component of wind cm/s plus toward east.
* Z (column 3) is...
Cook, D. Wind Energy Technologies Office (WETO)
Jul 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station ANL 50m, Sonic, Physics site-12 Raw Data
**Overview**
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
**Data Details**
* X (column 1) is a component of wind cm/s plus toward north.
* Y (column 2) is a component of wind cm/s plus toward east.
* Z (column 3) is...
Cook, D. Wind Energy Technologies Office (WETO)
Jul 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Raw Data
**Overview**
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
**Data Details**
* X (column 1) is a component of wind cm/s plus toward north.
* Y (column 2) is a component of wind cm/s plus toward east.
* Z (column 3) is...
Cook, D. Wind Energy Technologies Office (WETO)
Jul 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station ANL 80m, Sonic, Physics site-12 Raw Data
**Overview**
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
**Data Details**
* X (column 1) is a component of wind cm/s plus toward north.
* Y (column 2) is a component of wind cm/s plus toward east.
* Z (column 3) is...
Cook, D. Wind Energy Technologies Office (WETO)
Jul 14, 2016
1 Resources
0 Stars
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1 Resources
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M3 Wave DMP/APEX WEC Device Configuration Drawings
Configurations as tested and modeled in final phase of project for the Delos-Reyes Morrow Pressure Device (DMP), commercialized by M3 Wave LLC as "APEX."
Morrow, M. and Delos-Reyes, M. M3 Wave
Aug 08, 2017
1 Resources
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1 Resources
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Verdant Power Gen5 KHPS and TriFrame System Content Models
This submission includes the Component Content Model for Verdant Power TriFrame and the System Content Model for Verdant Power TriFrame + 3 Gen5 KHPS Turbines. The TriFrame is the foundation component of the system, which consists of a TriFrame + 3 Gen5 KHPS Turbines (TF+3T).
Corren, D. et al Verdant Power Inc.
Jul 05, 2018
2 Resources
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2 Resources
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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
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2 Resources
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Benchmark Model for Wastewater Treatment Using an Activated Sludge Process
This is benchmark model for wastewater treatment using an activated sludge process. The activated sludge process is a means of treating both municipal and industrial wastewater. The activated sludge process is a multi-chamber reactor unit that uses highly concentrated microorganis...
Byun, J. and Maravelias, C. Princeton University
Jan 21, 2022
2 Resources
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2 Resources
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ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
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39 Resources
1 Stars
Publicly accessible