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AeroDyn V15.04: Design Tool for Wind and MHK Turbines
AeroDyn is a time-domain wind and MHK turbine aerodynamics module that can be coupled into the FAST version 8 multi-physics engineering tool to enable aero-elastic simulation of horizontal-axis wind turbines. AeroDyn V15.04 has been updated to include a cavitation check for MHK tu...
Murray, R. et al National Renewable Energy Laboratory
Apr 28, 2017
1 Resources
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1 Resources
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Extreme Significant Wave Heights for US Coastal Waters
Includes extreme significant wave heights, in meters, computed using peaks over threshold method on NOAA 30-year WWIII hindcast data. Extreme values for 5, 10, 25, 50, and 100 year return periods were computed. Sites cover US coastlines.
Column 1: Site identifier/name
Column 2: S...
Bredin, S. Sandia National Laboratories
Sep 01, 2016
1 Resources
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1 Resources
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Kvichak River RISEC Project Resource Reconnaissance and Physical Characterization, Igiugig, AK
During the summer and fall of 2011 TerraSond Ltd. (TerraSond) completed a bathymetric survey and hydrokinetic energy assessment of the Kvichak River at Igiugig, Alaska. The purpose of this work was to characterize the initial site conditions for the design and installation of a hy...
McEntee, J. Ocean Renewable Power Company
Oct 01, 2015
2 Resources
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2 Resources
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Biomass for Carbon Removal and Storage (BiCRS) Biomass and Bioproduct Data Table
The Biomass for Carbon Removal and Storage (BiCRS) Biomass and Bioproduct Data Table was generated using data from biomass and bioproducts (i.e., biochar, pyrolysis oil) supplied by BiCRS project developers. Data was obtained via analytical characterization methodologies listed in...
Harman-Ware, A. and Paeper, C. National Laboratory of the Rockies
Dec 18, 2025
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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
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18 Resources
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Industrial Process Heat Demand Characterization
This data set is an expansion of the facility-level process heat survey conducted by McMillan et al. 2015 https//doi.org/10.2172/1334495. Using the same methodology annual facility combustion energy use was calculated from emissions data reported to U.S. Environmental Protection A...
McMillan, C. and Ruth, M. National Renewable Energy Laboratory
Jul 25, 2025
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1 Resources
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Utah FORGE 9-3664: Development of Tagged Proppant for Conductivity Enhancement and Reservoir Characterization 2024 Annual Workshop Presentation
This is a presentation on the Development and Testing of Tagged Proppant for Fracture Conductivity Enhancement and Reservoir Characterization in EGS by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the development and testing of n...
Ghassemi, A. et al Energy and Geoscience Institute at the University of Utah
Sep 03, 2024
1 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
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Control of an AUV with deployable energy-harvesting kite
This paper examines the control of an autonomous underwater vehicle (AUV) with a deployable energy-harvesting kite for oceanographic observation and surveillance. The proposed design and control strategies specifically address objectives of achieving high-payload, long-endurance A...
Reed, J. et al North Carolina State University
Sep 02, 2019
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TEAMER: Drifting Hydrophone System Block Diagram and Pre-Amplifier Calibrations
This data release is part of TEAMER RFTS 2, where the Cooperative Institute for Marine Resources Studies (CIMRS) at Oregon State University is performing hardware and software development and integration of four newly designed drifting hydrophone systems for underwater noise measu...
Turnbull, J. et al Pacific Marine Energy Center (PMEC)
Feb 26, 2024
3 Resources
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3 Resources
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Utah FORGE: Hydraulic Fracture Width Determination Using Stoneley Wave Pressure Testing and Electrical Borehole Scans
This report provides insights into Utah FORGE well 58-32's hydraulic fractures. It utilizes both electrical borehole scans from Schlumberger's Formation Micro-scanner Image tool (FMI) and Stoneley waves from a borehole sonic tool. These methods are combined in a comprehensive work...
Hornby, B. Hornby Geophysical Services, LLC
Oct 06, 2023
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ALFA Wave Resource Characterization in Extreme Conditions, Offshore of Newport, OR
Model hindcast and Surface Wave Instrument Float With Tracking (SWIFT) buoy observations during extreme conditions offshore of Newport, OR
Thomson, J. Northwest National Marine Renewable Energy Center
Dec 06, 2015
2 Resources
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2 Resources
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MOIS LabVIEW Software
Software developed in LabVIEW for the Modular Ocean Instrumentation System (MOIS) is provided. Two documents: MOIS User's Guide and MOIS Software Developer's Guide are included in the submission.
Nelson, E. National Renewable Energy Laboratory
Dec 03, 2015
3 Resources
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3 Resources
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Design of high deflection foils for MHK applications CFD files
The Ocean Renewable Power Company's (ORPC's) goal is to design, develop, and test hydrofoils with large deflections. The effects of the deflections on cross-flow turbine performance would be evaluated in order to inform design considerations for full-scale water turbines and other...
Barrington, M. and McEntee, J. Ocean Renewable Power Company
Jun 01, 2021
5 Resources
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5 Resources
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Utah FORGE 9-3664: Development of Tagged Proppant for Conductivity Enhancement and Reservoir Characterization 2025 Workshop Presentation
This is a presentation on the Development and Testing of Tagged Proppant for Fracture Conductivity Enhancement and Reservoir Characterization in EGS by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the development and testing of n...
Ghassemi, A. The University of Oklahoma
Sep 18, 2025
3 Resources
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3 Resources
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Utah FORGE 9-3706: Designing, Characterizing & Optimizing Proppant and Flow Monitoring Materials for EGS 2026 Workshop Presentation
This is a presentation on Designing, Characterizing & Optimizing Proppant and Flow Monitoring Materials for a Utah FORGE Engineered Geothermal System by Oklahoma State University, presented by Dr. Mileva Radonjic. The project is developing advanced proppant materials, flow-monitor...
Radonjic, M. Oklahoma State University
Sep 30, 2026
3 Resources
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3 Resources
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Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University
This dataset provides information gathered to determine end use load and assessment of existing district heating systems (DHS). It also provides Aspen simulation files used to model hybrid natural gas geothermal district heating and cooling (GDHC) system along with Exchange Design...
Garapati, N. West Virginia University
Jan 09, 2020
4 Resources
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4 Resources
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USWAN Model Hindcast East Coast Regional Model (ECoRM)
Summary tables and plots of six International Electrotechnical Commission (IEC) wave parameters, including time series, scatter plots, and tables summarizing model performance.
Neary, V. Sandia National Laboratories
Sep 29, 2017
2 Resources
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2 Resources
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Self-charging Zn-polymer Battery
This dataset supports the development and characterization of a bio-catalyzed oxidation self-charging zinc-polymer (Zn-PANI) battery system. The study introduces hemoglobin (Hb) as a catalytic additive in the polyaniline (PANI) cathode to enhance the autoxidation-driven self-charg...
Fan, H. et al Nanyang Technological University
Feb 01, 2024
2 Resources
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In curation
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In curation
EGS Collab Experiment 1: Baseline Cross-well Seismic
As part of the geophysical characterization suite for the first EGS Collab tesbed, here are the baseline cross-well seismic data and resultant models. The campaign seismic data have been organized, concatenated with geometry and compressional (P-) & and shear (S-) wave picks, and ...
Schwering, P. et al Sandia National Laboratories
Apr 30, 2018
9 Resources
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9 Resources
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Next Generation RivGen Power System: Feasibility Assessment of Hydroacoutics Data for Development of a Probability of Encounter Model of Salmon Smolts
This document contains a feasibility assessment for salmon smolt characterization and analysis based on existing hydroacoustics data and probability of encounter model.
Daroux, A. and Zydlewski, G. Igiugig Village Council
Oct 04, 2017
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The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017
The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a uni...
McMillan, C. et al National Renewable Energy Laboratory (NREL)
Jul 01, 2024
4 Resources
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4 Resources
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Tanana River Transects August 2010
As part of the initial site investigation for the Tanana River near Nenana, Alaska, a set of transects was completed on August 10th, 2010. This data was collected with a Rio Grande 1200 Teledyne ADCP the same year the initial bathymetry was collected. This set of transects includ...
DUVOY, P. University of Alaska Fairbanks
Aug 10, 2010
5 Resources
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5 Resources
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Deep Green Unannotated Protein Structures
The Deep Green list is based on the identification and curation of conserved unannotated proteins in three green lineage (Viridiplantae) model organisms; Arabidopsis thaliana, Chlamydomonas reinhardtii, and Setaria viridis. Preliminary characterization of Deep Green proteins and g...
Knoshaug, E. et al National Renewable Energy Laboratory
Apr 20, 2023
4 Resources
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4 Resources
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Wave Classification Statistical Data for US Waters
Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.
Haas, K. Georgia Tech Research Corporation
Sep 21, 2016
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