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Admiralty Inlet Advanced Turbulence Measurements: Final Data and Code ArchiveSource

Data and code that is not already in a public location that is used in Kilcher, Thomson, Harding, and Nylund (2017) "Turbulence Measurements from Compliant Moorings - Part II: Motion Correction" doi: 10.1175/JTECH-D-16-0213.1. The links point to Python source code used in the publication. All other files are source data used in the publication.

0
No licence known
Tags:
ADVAdmiralty InletDOLfYNDeepWater BuoyancyHydrokineticIMUMHKMarineMatlabNRELNortek VectorPNNLPuget SoundStableMoorTTMTidal Turbulence MooringUniversity of WashingtonVECWashingtonWater Velocitybenchbuoybuoy observationscodecorrectioncurrentdataenergyhigh-precisionin situ oceanicinertial motioninstrumentationlab datameasurementmonitoringmooringpowerprocessed dataprocessingpythonpython source coderesourcesensorsensorssourcetesttidal turbulancetorpedoturbulence
Formats:
matVECwprvec821
National Renewable Energy Laboratory (NREL)about 1 year ago
Admiralty Inlet Advanced Turbulence Measurements: June 2014Source

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-depth turbulence measurements. The inertial measurements from the IMU allows for removal of mooring motion in post processing. The mooring motion has been removed from the stream-wise and vertical velocity signals (u, w). The lateral (v) velocity has some 'persistent motion contamination' due to mooring sway. Each ttm was deployed with two ADVs. The 'top' ADV head was positioned 0.5m above the 'bottom' ADV head. The TTMs were placed in 58m of water. The position of the TTMs were: ttm01 : (48.1525, -122.6867) ttm01b : (48.15256666, -122.68678333) ttm02b : (48.152783333, -122.686316666) Deployments TTM01b and TTM02b occurred simultaneously and were spaced approximately 50m apart in the cross-stream direction. Units ----- - Velocity data (_u, urot, uacc) is in m/s. - Acceleration (Accel) data is in m/s^2. - Angular rate (AngRt) data is in rad/s. - The components of all vectors are in 'ENU' orientation. That is, the first index is True East, the second is True North, and the third is Up (vertical). - All other quantities are in the units defined in the Nortek Manual. Motion correction and rotation into the ENU earth reference frame was performed using the Python-based open source DOLfYN library (http://lkilcher.github.io/dolfyn/). Details on motion correction can be found there. Additional details on TTM measurements at this site can be found in the included Marine Energy Technology Symposium paper.

0
No licence known
Tags:
ADVAdmiralty InletDOLfYNDeepWater BuoyancyHydrokineticIMUMHKMarineMatlabNRELNortek VectorPNNLPuget SoundPythonTTMTidal Turbulence MooringTurbulenceUniversity of WashingtonVECaccelerationangular ratebuoycodedataeffectivenessenergyfield testmeasurementpowerpre-processedprocessed dataraw dataresourcesafetyvector fileswater velocity
Formats:
pyvecCSVh5matPDF
National Renewable Energy Laboratory (NREL)about 1 year ago
Admiralty Inlet Advanced Turbulence Measurements: May 2015Source

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). These platforms position ADV heads above the seafloor to make mid-depth turbulence measurements. The inertial measurements from the IMU allows for removal of mooring motion in post processing. The mooring and buoy motion has been removed from the stream-wise and vertical velocity signals (u, w). The lateral (v) velocity has some 'persistent motion contamination' due to mooring sway. The TTM was deployed with one ADV, it's position was: 48 09.145', -122 41.209' The StableMoor was deployed twice, the first time it was deployed in 'wing-mode' with two ADVs ('Port' and 'Star') at: 48 09.166', -122 41.173' The second StableMoor deployment was in 'Nose' mode with one ADV at: 48 09.166', -122 41.174' Units ----- - Velocity data (_u, urot, uacc) is in m/s. - Acceleration (Accel) data is in m/s^2. - Angular rate (AngRt) data is in rad/s. - The components of all vectors are in 'ENU' orientation. That is, the first index is True East, the second is True North, and the third is Up (vertical). - All other quantities are in the units defined in the Nortek Manual. Motion correction and rotation into the ENU earth reference frame was performed using the Python-based open source DOLfYN library (http://lkilcher.github.io/dolfyn/). Details on motion correction can be found there. Additional details on TTM measurements at this site can be found in the included Marine Energy Technology Symposium paper.

0
No licence known
Tags:
ADVAdmiralty InletDOLfYNDeepWater BuoyancyHydrokineticIMUMHKMarineMatlabNRELNortek VectorPNNLPuget SoundPythonStableMoorTTMTidal Turbulence MooringTurbulenceUniversity of WashingtonVECaccelerationangular ratebuoycodedataeffectivenessenergyfield testmeasurementmeasurementsmid-depth turbulenceoceanpowerpre-processedprocessed dataraw dataresourcesafetytechnologyvector fileswater velocity
Formats:
pyVECCSVh5matPDF
National Renewable Energy Laboratory (NREL)about 1 year ago
BOBr Processed Breaking Wave Data, Agate Beach, ORSource

This data was recorded by the BOBr (Buoy to Observe Breaking) off the coast of Newport, OR at Agate Beach in the surf zone. The data was recorded by a 9dof inertial measurement unit and consists of a timestamp, quaternion orientation, acceleration vector, rotation vector, and magnetic vector. The acceleration, rotation, and magnetic vectors have all been corrected back to a North East Down reference frame.

0
No licence known
Tags:
Agate BeachBOBrHydrokineticMHKMarineNewportORaccelerationbreakingbuoycharacterizationdataenergyfree-driftgroundground datamagnetic field vectorsmeasurementoregonorientationpowerprocessed dataquaternionresourcerotationsurfsurf zonewavewaves
Formats:
TXTHTML
National Renewable Energy Laboratory (NREL)about 1 year ago
LCOE Content Model for the Heaving Point Absorber BuoySource

This is the LCOE analysis spreadsheet and content model for the heaving point absorber buoy developed for controls purposes. The cost assessment was done on a wave-farm of 100-units.

0
No licence known
Tags:
1-DoFCAControlsHumboldtHydrokineticLCOEMHKMPCMarineOptimal ControlPTOUSAWECabsorberbuoycontent modelcosteconomicsenergyfarmheaveheavinglevelized cost of energymodel predictive controloceanpointpoint absorberpoint absorber buoypowerpower take offsymmetricalwavewave energy
Formats:
XLSX
National Renewable Energy Laboratory (NREL)about 1 year ago