SEARCH · Engineering Papers
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Acoustic Pilot surface survey at the South Energy Test Center at Newport (Oregon). Data collected with a SIMRAD EK-60 echosounder using four frequencies (38, 70, 120 and 200 kHz).
Density values from active acoustic measurements at South Energy Test Site. This data correspond to a bottom mounted upward-looking WBAT, deployed from April 19th to September 30th. Samples (175 pings) were collected hourly at 1Hz.
Data from Phase 1 testing of a single ALFA Oscillating Water Column (OWC) device at the O.H. Hinsdale Wave Research Laboratory (HWRL) at Oregon State University in Fall of 2016. Contains two zip files of raw data, one of project data, and a diagram of the device with dimensions. A "readme" file in the project data archive under "Docs" explains the project data.
Model hindcast and SWIFT buoy observations during extreme conditions offshore of Newport, OR
This is radar data recorded by Oregon State University's Nearshore Remote Sensing Group near the TRIAXYS buoy at PMEC-SETS off the coast of Newport, OR on December 15, 2015.
From November 2014 through December 2015 a TRIAXYS wave buoy was deployed in the Pacific Marine Energy Center - South Energy Test Site. This submission includes all the preprocessed data extracted from the binary TRIAXYS recordings. There was no data for February, March, or April, as the buoy was offline for that duration.
From July 29 through October 4, 2013 a TRIAXYS wave buoy was deployed in the Pacific Marine Energy Center - North Energy Test Site. This submission includes all the preprocessed data extracted from the binary TRIAXYS recordings, as well as scripts to parse the data into MATLAB.
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.
Input data and heave results (unsteady RANS-VOF overset simulations performed in Star-CCM+) for a float with an ellipsoid geometry. Five extreme sea states were considered, as detailed in the conference paper "Application of the Most Likely Extreme Response Method for Wave Energy Converters" by Quon et al (see resource below). These sea states were extrapolated from conditions near Humboldt Bay, California. Focused waves were generated using the MLER module of the Wave Design Response Toolbox (WDRT) and specified at the inlet boundary conditions. The device was constrained to heave only and a PTO was not modeled.
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: Site latitude Column 3: Site longitude Column 4: 5-year extreme Hs, in meters Column 5: 10-year extreme Hs, in meters Column 6: 25-year extreme Hs, in meters Column 7: 50-year extreme Hs, in meters Column 8: 100-year extreme Hs, in meters
Numerous studies have shown that advanced control of a wave energy converter's (WEC's) power take off (PTO) can provide significant increases (on the order of 200-300%) in WEC energy absorption. Transitioning these control approaches from simplified paper studies to application in full-scale devices remains an open and extremely challenging problem will be central to creating economically competitive WECs and delivering clean renewable energy to the US electrical grid. The Advanced WEC Dynamics and Controls project is targeted on assisting WEC developers to apply novel control systems for their devices and thus achieving major increases in performance and economic viability. The success of any control strategy is based directly upon the availability of a reduced-order model with the ability to accurately capture the dynamics of the system with sufficient accuracy. A model-scale WEC was designed and fabricated for use in studies to advance the state-of-the-art in WEC controls. This test, which is the first in a series of planned tests, focused on system identification (system ID) and model validation.
Base data and documentation of LCOE calculations for ORPC's RivGen 1.F Power System, demonstrated in the Kvichak River at Igiugig, Alaska in 2015.
The HDIS/COUPi discrete element method modeling system was used to simulate the interaction between various debris and the Research Debris Diversion Platform (RDDP)
Measurements in the wake of a high-solidity cross-flow turbine in a laboratory flume obtained using Acoustic Doppler Velocimetry and Particle Image Velocimetry for the purposes of characterizing the turbine wake and comparing the methods.
Initial laboratory experiments with coordinated phase control of cross-flow turbines in a dense array.
This is the raw LCOE model used to establish baseline performance for the M3 Wave DMP/APEX submerged mid-column pressure differential WEC. The model includes initial capital cost, levelized replacement cost, levelized operations and maintenance cost, and net annual energy production calculations.
Projected LCOE model based on information gained during project performance.
Project baseline levelized cost of energy (LCOE) model for the Centipod WEC containing annual energy production (AEP) data, a cost breakdown structure (CBS), model documentation, and the LCOE content model. This baseline was built for comparison with the resultant LCOE model, built after implementation of the model predictive control (MPC) controller.