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RANS Simulation RRF of Single Lab-Scaled DOE RM1 MHK Turbine
Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package.
The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same p...
Javaherchi, T. et al University of Washington
Apr 15, 2014
3 Resources
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3 Resources
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Catalyst Design in Nitrate Removal
Based on the volcano plot developed by Dr. Goldsmith group (Report linked in submission), we utilized DFT (density functional theory) calculations to search for bimetallic materials in the application of catalysts in aqueous nitrate removal. The calculations are conducted via the ...
Wang, D. and Jain, A. Lawrence Berkeley National Laboratory
Dec 01, 2021
7 Resources
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7 Resources
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University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy
The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
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5 Resources
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In-Situ Blade Strain Measurements of a Crossflow Turbine Operating in a Tidal Flow
This data was collected between October 25 and December 12 of 2022 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). The goal was to collect blade strain data from a crossflow turbine operating in a tidal flow. A t...
Bharath, A. et al National Renewable Energy Laboratory
Dec 16, 2022
17 Resources
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17 Resources
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Rare Earth Element Concentration of Wyoming Thermal Waters Update
Updated version of data generated from rare earth element investigation of produced waters. These data represent major, minor, trace, isotopes, and rare earth element concentrations in geologic formations and water associated with oil and gas production.
Quillinan, S. et al University of Wyoming
Jun 01, 2017
2 Resources
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2 Resources
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Rare Earth Element Geochemistry of Produced Waters in WY
Update of rare earth element data from oil and gas reservoirs. These data include major, minor, trace and rare earth element concentration of geologic formations in Wyoming oil and gas fields.
Quillinan, S. et al University of Wyoming
Jun 01, 2017
2 Resources
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2 Resources
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Technical Report-Rare Earth Element Data Associated with Oil and Gas Reservoir Rock
This work was developed to complement the geochemical assessments of produced water and geothermal water samples. Specifically, this task was designed to test the influence of reservoir rock-type and corresponding mineralogy/geochemistry on the concentrations of REE found in oil a...
McLaughlin, J. et al University of Wyoming
Jul 01, 2017
2 Resources
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2 Resources
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Rare Earth Element Geochemistry for Produced Waters, WY
These data represent major, minor, trace, isotopes, and rare earth element concentrations in geologic formations and water associated with oil and gas production.
*Note Link below contains updated version of spreadsheet (6/14/2017)
Quillinan, S. et al University of Wyoming
Jun 30, 2016
2 Resources
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2 Resources
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Rare Earth Geochemistry of Rock Core form WY Reservoirs
These data include major, minor, trace and rare earth element concentration of geologic formations in Wyoming oil and gas fields.
*Note Link below contains updated version of spreadsheet (6/14/2017)
Quillinan, S. et al University of Wyoming
Oct 01, 2016
2 Resources
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2 Resources
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Focusing Wave Energy for Wave Energy Converter Applications
Wave tank tests at Stevens Institute of Technology quantified the ability of near-surface platforms to concentrate wave energy over the platform.
Due to the instantaneous change in water depth, mass, energy, and power are conserved in this process. The energy and power concentrat...
Raftery, M. Martin and Ottaway
Aug 10, 2010
7 Resources
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7 Resources
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32
This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...
Lu, G. et al University of Pittsburgh
Aug 30, 2024
2 Resources
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2 Resources
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Utah FORGE: Southwestern Utah Magnetotelluric (MT) Data
This comprehensive magnetotellurics (MT) dataset, which covers southwestern Utah, integrates 600 sites from various surveys, including those from the Utah FORGE, SubTER, and Play Fairway projects, all of which are linked below. The core of this dataset is the use of a 3D finite el...
Wannamaker, P. and Marris, V. Energy and Geoscience Institute at the University of Utah
Jan 22, 2024
4 Resources
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4 Resources
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DEEPEN 3D PFA Weights for Exploration Datasets in Magmatic Environments
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
3 Resources
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3 Resources
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Western USA Assessment of High Value Materials in Geothermal Fluids and Produced Fluids Final Report
This report documents the results of investigations dealing with the concentrations and availabilities of strategic, critical and valuable materials (SCVM) in produced waters from geothermal and hydrocarbon reservoirs (50-250 degrees C) in Idaho, Nevada, New Mexico, Oregon, and Ut...
Simmons, S. Energy and Geoscience Institute at the University of Utah
Mar 18, 2019
2 Resources
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2 Resources
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University of Illinois Campus Deep Direct-Use Feasibility Study Porosity and Permeability of Rock Formations
Porosity and permeability data from published and unpublished sources for the St. Peter and Mt. Simon Sandstones in the Illinois Basin.
Damico, J. et al University of Illinois
Mar 30, 2018
4 Resources
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4 Resources
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SGIG Program Advanced Metering Infrastructure (AMI) Assets Deployed and Expenditures
This file contains smart grid data (current as of the time and date stamp shown above) for ARRA funded smart grid projects.
All of the data in this file is considered publically available, and is not marked sensitive.
This data provides details regarding the deployment of ...
Huggins, J. and SmartGrid.gov, . National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
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2 Resources
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Performance estimation of resonance-enhanced dual-buoy wave energy converter using coupled time-domain simulation
This paper presents the modeling methodology and performance evaluation of the resonance-enhanced dual-buoy WEC (Wave Energy Converter) by HEM (hydrodynamic & electro-magnetic) fully-coupled-dynamics time-domain-simulation program. The numerical results are systematically compared...
Kang, H. et al Texas A&M University
Aug 31, 2020
3 Resources
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3 Resources
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SMP Preparation, Programming, and Characterization
The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Salehi, S. et al University of Oklahoma
Oct 01, 2021
4 Resources
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4 Resources
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Smart Grid Data from the American Recovery and Reinvestment Act (ARRA) Projects
The data provided in this Excel spreadsheet is the final data that was collected through the Smart Grid Data Hub and provided by the individual Smart Grid Investment Grant (SGIG) project recipients. The project recipients represent utilities from across the country who received f...
Brodt-Giles, D. and Laboratory, N. National Renewable Energy Laboratory
Jun 02, 2015
2 Resources
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In curation
2 Resources
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TEAMER: MADWEC Techno-Economic Analysis
The objective of this project was for the facility to conduct a techno-economic assessment (TEA) of the Maximal Asymmetric Drag Wave Energy Converter (MADWEC), developed by the University of Massachusetts Dartmouth (UMass Dartmouth). MADWEC is used for powering remote monitoring a...
Ortega, T. and Baca, E. National Renewable Energy Laboratory
Mar 08, 2024
2 Resources
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2 Resources
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Airfoil Computational Fluid Dynamics 9k shapes, 2 AoA's
This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 8,996 airfoil shapes, computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes ...
Ramos, D. et al National Renewable Energy Laboratory (NREL)
Feb 10, 2023
3 Resources
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3 Resources
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Airfoil Computational Fluid Dynamics 2k shapes, 25 AoA's, 3 Re numbers
This dataset contains aerodynamic quantities including flow field values (momentum, energy, and vorticity) and summary values (coefficients of lift, drag, and momentum) for 1,830 airfoil shapes computed using the HAM2D CFD (computational fluid dynamics) model. The airfoil shapes w...
Ramos, D. et al National Renewable Energy Laboratory (NREL)
Feb 10, 2023
3 Resources
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3 Resources
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Hydrogen Compatibility of Materials
Technical Reference for Hydrogen Compatibility of Materials
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Guidance on materials selection for hydrogen service is needed to support the deployment of hydrogen as a fuel as well as the development of codes ...
Marci, C. and Laboratories, S. National Renewable Energy Laboratory
Nov 25, 2014
10 Resources
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In curation
10 Resources
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In curation
UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary
This data was collected between October 12 and December 15 of 2021 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). This data set includes over 29 days of grid connected turbine operation during this 65 day time f...
Wosnik, M. et al National Renewable Energy Laboratory
Dec 21, 2021
30 Resources
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30 Resources
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
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4 Resources
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