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Admiralty Inlet, WA Tidal Current Turbulence
Tripod and mooring data using acoustic doppler velocimeter (ADV) and acoustic doppler current profiler (ADCP) of tidal turbulence.
When using the data, please cite the J. Oceanic Eng. paper included in this submission, and please contact Jim Thomson prior to submitting publication...
Thomson, J. Northwest National Marine Renewable Energy Center
Feb 01, 2011
2 Resources
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2 Resources
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HERO WEC V1.0 Electrical PTO Deployment Data and Analysis
This submission includes the processed and raw field electrical data from NREL's August 2022 HERO WEC (hydraulic and electric reverse osmosis wave energy converter) deployment at Jennette's Pier for the electrical PTO (power take-off).
Nakhai, A. et al National Renewable Energy Laboratory
Aug 12, 2022
4 Resources
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4 Resources
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A National Thermal Generator Performance Database
This submission contains cleaned and filtered data from the Environmental Protection Agency Clean Air Markets CAM database of thermal power plant operation and performance.
Rossol, M. et al National Renewable Energy Laboratory
Dec 05, 2018
22 Resources
0 Stars
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22 Resources
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Future Wind Energy Resources and Cost Uncertainties Across the United States
This dataset contains results estimating projections of change of annual capacity factors and levelized cost of energy for several turbine technologies in the 2024 Annual Technology Baseline (ATB). Projections of change are based on downscaled earth system model (ESM) data from Su...
Buster, G. et al National Renewable Energy Lab (NREL)
Nov 03, 2025
8 Resources
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8 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence M Raw Data
**Overview**
Sequence M: Transition Fixed (P)
Test sequence M used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from
5 m/s to 15 m/s. Yaw angles ranged from 0° to 90°. The blade tip pitch was 3°. The rotor rotated
at 72 RPM. Blade pressure measurement...
Fingersh, L. Wind Energy Technologies Office (WETO)
Nov 28, 2018
1 Resources
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1 Resources
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TEAMER: Public Initial Optimization of a Vessel-mounted Removable Current Energy Converter
This project focuses on developing a numerical tool to estimate the Levelized Cost of Energy (LCOE) for vessel-mounted hydrokinetic turbines. By leveraging open-source software and public-domain data, the tool evaluates energy capture and costs for deploying turbines on vessels in...
Forbush, D. et al Sandia National Laboratories
Jul 31, 2024
4 Resources
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4 Resources
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Wave Energy Prize 1/50th Testing M3 Wave Submerged Mid-Column Pressure Differential WEC
This submission of data includes all the 1/50th scale testing data completed on the Wave Energy Prize for the M3 Wave team, and includes:
1/50th test data (raw & processed)
1/50th test data video and pictures
1/50th Test plans and testing documents
SSTF_Submission (summarized ...
Scharmen, W. Ricardo Detroit Technical Center
Jan 08, 2016
10 Resources
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10 Resources
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Lidar HilFlowS LLNL ZephIR300 WOP Processed Data
**Overview**
The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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1 Resources
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wfip2.model/retro.hrrr.02.fcst.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
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1 Resources
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Lidar HilFlowS LLNL ZephIR300 MOP Processed Data
**Overview**
The ZephIR300 is a continuous wave LIDAR with a range of 10 m to 300 m. During HilFlowS the ZephIR300 was programmed to measure from 10 m to 150 m. In addition, the ZephIR300 provided a measurement at 1 m height using an onboard meteorological sensor. The ZephIR300 ...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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1 Resources
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wfip2.model/retro.hrrr.02.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
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1 Resources
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wfip2.model/retro.rap.02.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
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1 Resources
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wfip2.model/retro.hrrr.01.fcst.02
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
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1 Resources
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wfip2.model/retro.hrrr.01.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
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1 Resources
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wfip2.model/retro.rap.01.fcst.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Feb 09, 2016
1 Resources
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1 Resources
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Observation-Based Resource Assessment of Gulf Stream MHK
Multi-year measurements of current velocity, salinity, and temperature from fixed and vessel-mounted sensors quantify Gulf Stream (GS) MHK resource variability and inform development off Cape Hatteras, NC. Vessel transects across the GS demonstrate a jet-like velocity structure wi...
Muglia, M. et al North Carolina State University
Jan 01, 2020
1 Resources
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1 Resources
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Lidar DTU SpinnerLidar Reviewed Data
**Overview**
Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
**...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
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1 Resources
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PNNL Distribution System State Estimator Docker Image
This is the docker image for Pacific Northwest National Laboratory's (PNNL) distribution system state estimator (DSSE) used for the demo of OEDI-SI platform. To support the operation of modern distribution systems, operators require real-time visibility into system states. Due to ...
Bhatti, B. et al Pacific Northwest National Laboratory
Jul 10, 2023
6 Resources
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6 Resources
2 Stars
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Surface Meteorological Station SWiFT southwest METa1 Reviewed Data
**Overview**
Scaled Wind Farm Technology (SWiFT) Facility meteorological tower (MET), turbine, and Technical University of Denmark (DTU) SpinnerLidar data acquired on 20161216 UTC during a neutral atmospheric boundary layer inflow at a single focus distance of 2.5 D (D=27 m).
**...
Kelley, C. and Naughton, B. Wind Energy Technologies Office (WETO)
Dec 15, 2016
1 Resources
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1 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. Stevens Institute of Technology
Aug 10, 2010
7 Resources
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7 Resources
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Lidar HilFlowS LLNL WindCube v2 EOP Processed Data
**Overview**
The WindCube v2 is a pulsed LIDAR and uses four beams sent in succession in the four cardinal directions along a 28°scanning cone angle to measure horizontal velocity and wind direction. A fifth beam is sent in the vertical direction to measure vertical velocity. Me...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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Computational Fluid Dynamics Simulation of Oscylator cylinders
This is one of the computational fluid dynamics (CFD) simulations. The parameters for the test are in the info.txt file.
Taipale, J. Vortex Hydro Energy
Feb 07, 2017
6 Resources
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6 Resources
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North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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4 Resources
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Specified System Requirements for the HydroAir Power Take Off System
Includes Annual Energy Production of the system, Target Availability of the system, the system's PWR (power to weight ratio), Critical Dimensions and Weights (e.g. center of gravity and center of buoyancy, capture length) of the system, the system's Noise Levels, and All Grid Requ...
Natanzi, S. and Hall, R. Siemens Government Technologies, Inc.
Oct 02, 2020
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Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data
**Overview**
The WindCube v2 was co-located with Site 300’s 52-m-tall meteorological tower so that measurements below 40 m could also be observed. The meteorological tower has three measurement levels: 10 m, 23 m, and 52 m. Wind speed was measured with a cup anemometer; wind di...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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