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Techno-Economic Assessment for Integrating Biosorption into Rare Earth Recovery Process
The current uncertainty in the global supply of rare earth elements (REEs) necessitates the development of novel extraction technologies that utilize a variety of REE source materials. Herein, we examined the techno-economic performance of integrating a biosorption approach into ...
Jiao, Y. et al Lawrence Livermore National Laboratory
Jul 01, 2017
1 Resources
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1 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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Renewable Energy Potential Model: Geothermal Supply Curves
The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...
Trainor-Guitton, W. et al National Renewable Energy Laboratory
Aug 21, 2023
3 Resources
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3 Resources
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MHK Levelized Cost of Energy (LCOE) Guidance and Techno-Economic Analysis Materials
Useful information and tools for calculating the Levelized Cost of Energy (LCOE) and MHK Cost Breakdown Structure. Includes a structure for calculating the capital expenditures and operating costs of a marine energy technology or device, reference resource data for both wave and ...
Jenne, S. and Baca, E. National Renewable Energy Laboratory
Nov 08, 2019
7 Resources
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7 Resources
0 Stars
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State Energy Efficient Appliance Rebate Program (SEEARP) Reports
The State Energy Efficient Appliance Rebate Program (SEEARP) reports database includes rebate reports (xls) and summary factsheets (pdf) from states and territories that participated in SEEARP. With funding provided by the American Recovery and Reinvestment Act of 2009 (ARRA), the...
Hoffmeyer, D. Office of Energy Efficiency and Renewable Energy
Jun 18, 2015
5 Resources
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5 Resources
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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
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2 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 13, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Supporting Data for "Photolytic Activation of Ni(II)X2L Explains How Ni-Mediated Cross Coupling Begins"
Data files associated with Nature Communications publication titled "Photolytic Activation of Ni(II)X2L Explains How Ni-Mediated Cross Coupling Begins."
Kudisch. . et al National Renewable Energy Laboratory
May 21, 2025
94 Resources
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94 Resources
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Hourly Dynamic Line Ratings for Existing Transmission Across the Contiguous United States (Preliminary)
This dataset provides estimated hourly dynamic line ratings for ~84,000 transmission lines across the contiguous United States from 2007-2013. The calculation methods are described in the presentation linked below, and the associated open-source Python code repository is linked in...
Obika, K. et al National Renewable Energy Laboratory
Sep 25, 2024
16 Resources
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16 Resources
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Wind Energy: Bans or Moratoriums (2022)
This dataset identifies counties and municipalities that had a wind energy ban or moratorium as of April 2022. A TIF data file and a PNG map of the data are provided, showing areas where wind energy bans or moratoriums exist across the contiguous United States.
For further detail...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
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3 Resources
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Next Generation Weather Radar (NEXRAD) Setback (4-km)
The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents 4-kilometer setback requirements typically applied to ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
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3 Resources
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Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development Deviatoric MT, Fracture Network, and Final Report
This submission contains 167 deviatoric moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities at The Geysers Prati 32 EGS Demonstration. Also included is a statistical representation of the properties of 751 fra...
Gritto, R. et al Array Information Technology
Sep 01, 2018
3 Resources
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3 Resources
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Techno-Economic Assessment for Integrating Biosorption into Rare Earth Recovery Process
The current uncertainty in the global supply of rare earth elements (REEs) necessitates the development of novel extraction technologies that utilize a variety of REE source materials. Herein, we examined the techno-economic performance of integrating a biosorption approach into a...
Jiao, Y. et al Lawrence Livermore National Laboratory
Oct 09, 2017
1 Resources
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1 Resources
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RivGen Deployment Control System Specifications and Models, Igiugig, AK
Control System simulation models, case studies, and processing codes for analyzing field data. Raw data files included from VFD and SCADA.
MatLab and Simulink are required to open some data files and all model files.
Forbush, D. et al Ocean Renewable Power Company
Mar 21, 2016
2 Resources
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2 Resources
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Fully Coupled Geomechanics and Discrete Flow Network Modeling of Hydraulic Fracturing for Geothermal Applications
The primary objective of our current research is to develop a computational test bed for evaluating borehole techniques to enhance fluid flow and heat transfer in enhanced geothermal systems (EGS). Simulating processes resulting in hydraulic fracturing and/or the remobilization of...
Fu, P. et al Lawrence Livermore National Laboratory
Jan 01, 2011
2 Resources
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2 Resources
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Turbine Depth Optimization Study, Admiralty Inlet, WA
The zipped file contains a directory of data and routines used in the NNMREC turbine depth optimization study (Kawase et al., 2011), and calculation results thereof. For further info, please contact Mitsuhiro Kawase at kawase@uw.edu.
Kawase, M. et al University of Washington
Nov 22, 2009
2 Resources
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2 Resources
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Sodar Vaisala Triton Wind Profiler, AON1 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
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1 Resources
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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
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON5 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
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON9 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)
Nov 14, 2016
1 Resources
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON2 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
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1 Resources
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Sodar Vaisala Triton Wind Profiler, AON4 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
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1 Resources
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