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Wave Measurements taken NW of Culebra Is., PR, 2023

Wave and sea surface temperature measurements collected by a Sofar Spotter buoy in 2023. The buoy was deployed on July 27, 2023 at 11:30 UTC northwest of Culebra Island, Puerto Rico, (18.3878 N, 65.3899 W) and recovered on Nov 5, 2023 at 12:45 UTC. Data are saved here in netCDF ...

McVey, J. et al Pacific Northwest National Laboratory

Jul 27, 2023
11 Resources
0 Stars
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RivGen Controller Performance Raw Data, Igiugig, AK

Contains raw data for operations of Ocean Renewable Power Company (ORPC) RivGen Power System in Igiugig 2015 in Matlab data file format. Two data files capture the data and timestamps for data, including power in, voltage, rotation rate, and velocity. Location, Descripti...

McEntee, J. Ocean Renewable Power Company

Dec 18, 2015
2 Resources
0 Stars
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Analyzed DTS Data, Guelph, ON Canada

Analyzed DTS datasets from active heat injection experiments in Guelph, ON Canada is included. A .pdf file of images including borehole temperature distributions, temperature difference distributions, temperature profiles, and flow interpretations is included as the primary analyz...

Coleman, T. University of Wisconsin

Jul 01, 2015
5 Resources
0 Stars
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TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report

This project evaluated how high-resolution, spatially distributed field data can be used to refine and validate site-scale hydrodynamic simulations of tidal channels. Use of such spatially-distributed field observations or site-scale hydrodynamic simulations will be needed for pro...

Harrison, T. et al University of Washington (NNMREC) Applied Physics Lab

Aug 20, 2020
20 Resources
0 Stars
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MASK2B Initial Results from Wave Tank Test of Closed-Loop WEC Control

This dataset covers the MASK2B wave tank experiment focused on a more complete study of one degree of freedom (1DOF) control of the WEC was considered, including maximization of electrical power, multi-objective performance mapping, and implementation of a novel predictionless con...

Coe, R. et al Sandia National Laboratories

May 25, 2018
3 Resources
0 Stars
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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
0 Stars
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Brady's Geothermal Field DASH Resampled in Time

This submission includes a link to the DASH (Horizontal distributed acoustic sensing) data files that were resampled in time to 100 samples per second from the original 1000 samples per second files. Data is in 30 second Matlab files organized into directories by day. The README_D...

Feigl, K. University of Wisconsin

Jul 07, 2017
3 Resources
0 Stars
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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. Stevens Institute of Technology

Aug 10, 2010
7 Resources
0 Stars
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Utah FORGE: Fault Reactivation Through Fluid Injection Induced Seismicity Laboratory Experiments

Included are results from shear reactivation experiments on laboratory faults pre-loaded close to failure and reactivated by the injection of fluid into the fault. The sample comprises a single-inclined-fracture (SIF) transecting a cylindrical sample of Westerly granite. All expe...

Yu, J. et al Pennsylvania State University

Jul 01, 2023
27 Resources
0 Stars
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Admiralty Inlet Advanced Turbulence Measurements: June 2014

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in June of 2014. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on Tidal Turbulence Mooring's (TTMs). The TTM positions the ADV head above the seafloor to make mid...

Kilcher, L. National Renewable Energy Laboratory

Jun 30, 2014
26 Resources
0 Stars
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1D Heat Loss Models Validation Experiment

Contains data from the model validation in the 1D Heat Loss Models to Predict the Aquifer Temperature Profile during Hot/Cold Water Injection Project. The data include two COMSOL models (2D axisymmetric benchmark model and 2D Vinsome model), one python code (1D Vinsome based FEM n...

Chen, K. et al UC Berkeley

Jan 18, 2022
8 Resources
0 Stars
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Altona Field Lab Inverse Model WRR 2020

Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53...

Tester, J. Cornell University

Jan 01, 2015
3 Resources
0 Stars
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AquaHarmonics WEC 1:20 Scale Tank Test Data

Data from tank tests collected using AquaHarmonics 1:20 scale model that occurred in June and October 2018.

Hagmuller, A. AquaHarmonics

Oct 29, 2018
1 Resources
0 Stars
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NWEI Azura RTI 1/20th Model Validation Wave Tank Test Data

Data from the 1/20th wave tank test of the RTI model. Northwest Energy Innovations (NWEI) has licensed intellectual property from RTI, and modified the PTO and retested the 1/20th RTI model that was tested as part of the Wave Energy Prize. The goal of the test was to validate NWEI...

Ling, B. and Lettenmaier, T. Northwest Energy Innovations

May 08, 2017
7 Resources
0 Stars
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Washington Play Fairway Analysis Poly 3D Matlab Fault Modeling Scripts with Input Data to Create Permeability Potential Models

Matlab scripts and functions and data used to build Poly3D models and create permeability potential GIS layers for 1) Mount St. Helens seismic zone, 2) Wind River Valley, and 3) Mount Baker geothermal prospect areas located in Washington state.

Swyer, M. AltaRock Energy Inc

Feb 05, 2015
4 Resources
0 Stars
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Admiralty Inlet Advanced Turbulence Measurements: May 2015

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in May of 2015. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on a 'StableMoor' (Manufacturer: DeepWater Buoyancy) buoy and a Tidal Turbulence Mooring (TTM). Thes...

Kilcher, L. National Renewable Energy Laboratory

May 18, 2015
18 Resources
0 Stars
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TEAMER: Water Tunnel Data from Testing the Pterofin Skimmer Concept

Pterofin's Skimmer concept relies on a flapping and pitching hydrofoil to extract hydrokinetic energy from water flows. The concept aims to utilize unsteady fluid dynamics phenomena (added mass, shed vorticity, and unsteady boundary layer development) to achieve higher lift coeffi...

Jaffa, N. et al Pennsylvania State University, Applied Research Laboratory

Jul 13, 2023
7 Resources
0 Stars
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Modeling and Performance Data for Heaving Buoy Wave Energy Converter with a Compressible Degree of Freedom (CDOF)

Modeling and performance data in Matlab data file (.mat) containing 3 structures (WEC model, simRes_sr and simRes_fix), and a pdf document describing the model, the simulations, and the analysis that has been carried out.

Bacelli, G. Sandia National Laboratories

Sep 28, 2016
2 Resources
0 Stars
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Utah FORGE 3-2417: Simulations for Distributed Acoustic Sensing Strain Signatures as an Indicator of Fracture Connectivity

This dataset encompasses simulations of strain signatures from both hydraulically connected and "near-miss" fractures in enhanced geothermal systems (EGS). The files and results are presented from the perspective of digital acoustic sensing's (DAS) potential to differentiate the t...

Ward-Baranyay, M. et al Rice University

Jan 01, 2023
4 Resources
0 Stars
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TEAMER: OSU X Hinsdale & Sandia LUPA Uncertainty Testing

This processed data is from TEAMER testing through RFTS 7 at the O.H. Hinsdale Wave Research Laboratory in Corvallis, Oregon. This testing was conducted by Oregon State University (OSU) and Sandia National Laboratories in October and November 2023. The Laboratory Upgrade Point Abs...

Robertson, B. et al Oregon State University

Oct 19, 2023
6 Resources
0 Stars
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Bottom Shear Stress in Lake Erie for Parameterization

2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stre...

Lin, S. Uppsala University

Mar 18, 2022
1 Resources
0 Stars
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Tidal Energy Resource Characterization, Velocity and Turbulence Measurements, Processed Data, Cook Inlet, AK, 2021

This submission contains processed datasets from a long-term deployment of 3 moorings and a transect survey of the proposed tidal energy site off the East Forelands in Cook Inlet, AK. The long-term mooring datasets were created from 8 instruments mounted on a Terrasond High Ener...

McVey, J. and Kilcher, L. Pacific Northwest National Laboratory

Aug 31, 2021
28 Resources
0 Stars
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ADCP Acoustic Interference Survey Data, Sequim Bay Inlet, WA

Raw ADCP (Acoustic Doppler Current Profiler) datasets from acoustic interference surveys with a TRDI Workhorse 300, a Nortek Signature500 and two Signature1000 instruments from August 2020. One Signature 1000 ADCP was deployed for 13 days on a bottom lander in Sequim Bay Inlet, WA...

McVey, J. and Cavagnaro, R. Pacific Northwest National Laboratory

Aug 13, 2020
1 Resources
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Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation

The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system confi...

Luo, F. et al Stony Brook University

Jul 17, 2023
6 Resources
0 Stars
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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
0 Stars
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