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Development of Classification Systems for Wave Energy Resources and WEC TechnologiesSource

The submission includes wave resource classification reports, summary of classification statistics and regional trends, and data files with classification statistics for selected sites for extreme significant wave height. Two conference papers were uploaded that include classification metrics and geographic distributions for US coastal waters. These conference papers are: Neary, V.S., Coe, R.G., Cruz, J., Haas, K., Bacelli, G., Debruyne, Y., Ahn, S., Nevarez, V. (2017) Classification systems for wave energy resources and WEC technologies. Proceedings of 12th European Wave and Tidal Energy Conference Series (EWTEC 2017), Cork, Ireland, August 27-September 1, 2017 Haas, K., Ahn, S., Neary, V.S., and S. Bredin (2017) Development of a wave energy classification system. Proceedings of the 5th Marine Energy Technology Symposium (METS2017), Washington, D.C., May 1-3, 2017

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Tags:
HydrokineticMHKMarineWECcharacterizationclassificationclimateconditionsdatadesigndistributionenergyengineeringextremegeographicoceanpowerregionalresourcesitestatisticssystemtechnologytrendwavewave energy converter classificationwave energy resource classificationwave height
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National Renewable Energy Laboratory (NREL)about 1 year ago
MASK3 for Advanced WEC Dynamics and ControlsSource

This report outlines the "MASK3" wave tank test within the Advanced WEC Dynamics and Controls (AWDC) project. This test represents the final test in the AWDC project. The focus of the MASK3 test was to consider coordinated 3-degree-of-freedom (3DOF) control of a WEC in a realistic ocean environment. A key aspect of this test was the inclusion of a "self-tuning" mechanism which uses an optimization algorithm to update controller gains based on a changing sea state. The successful implementation of the self-tuning mechanism is the last crucial step required for such a controller to be implemented in real ocean environments.

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AWDCAdvanced WEC Dynamics and ControlsHydrokineticMASK3MATLABMHKMarineSandia National LaboratoriesSimulinkWaveBotcontrolcontrol dynamicsenergyextremefocusedlablab testlab testedmaskmodel predictive controlmodelingoceanpowerself-tuningsidsurge convertersystem IDtank testtechnologytuningwavewave energy converterwave tankwaveletwec
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National Renewable Energy Laboratory (NREL)about 1 year ago
Most Likely Extreme Response Analysis of an Ellipsoid Float Wave Energy ConverterSource

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.

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Tags:
CACFDCaliforniaHumboldt BayHydrokineticMHKMLERMarineRAOsWDRTWECabsorberamplitudeanalysisboundarycomputationlal fluid dynamicsconditionsconverterdesignellipsoidenergyextremefloatinletlikelymodelingmodulemostnumericaloperatorspointpoint absorber buoypowerresponseseaspectraltoolboxwave
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CSVPDF
National Renewable Energy Laboratory (NREL)about 1 year ago