Advanced WEC Dynamics and Controls, Test 1
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.
Citation Formats
Sandia National Laboratories. (2016). Advanced WEC Dynamics and Controls, Test 1 [data set]. Retrieved from https://dx.doi.org/10.15473/1460418.
Coe, Ryan. Advanced WEC Dynamics and Controls, Test 1. United States: N.p., 26 Feb, 2016. Web. doi: 10.15473/1460418.
Coe, Ryan. Advanced WEC Dynamics and Controls, Test 1. United States. https://dx.doi.org/10.15473/1460418
Coe, Ryan. 2016. "Advanced WEC Dynamics and Controls, Test 1". United States. https://dx.doi.org/10.15473/1460418. https://mhkdr.openei.org/submissions/151.
@div{oedi_3949, title = {Advanced WEC Dynamics and Controls, Test 1}, author = {Coe, Ryan.}, abstractNote = {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.}, doi = {10.15473/1460418}, url = {https://mhkdr.openei.org/submissions/151}, journal = {}, number = , volume = , place = {United States}, year = {2016}, month = {02}}
https://dx.doi.org/10.15473/1460418
Details
Data from Feb 26, 2016
Last updated Feb 1, 2023
Submitted Oct 1, 2016
Organization
Sandia National Laboratories
Contact
Ryan Coe
Authors
Original Source
https://mhkdr.openei.org/submissions/151Research Areas
Keywords
MHK, Marine, Hydrokinetic, energy, power, wec, wave energy converter, control, dynamics, system ID, modeling, model, validation, wave tanke, carderock, mask, wave, test, absorption, performance, economic, viability, design, tank, experiment, lab test, data acquisition, pressure, vibration, NaturalPoint Tracking, sensors, heave, surge, actuator, lab data, power take off, PTO, closed-loop, feedback control, Sandia National Laboratories, Diffraction, Dynamic response, Forced response, Forced motion, Matlab, system identification, model validation, excitation, US Navy, Naval Surface Warfare Center, point absorber buoy, Advanced WEC Dynamics and ControlsDOE Project Details
Project Name Advanced WEC Controls
Project Lead Alison LaBonte
Project Number FY16 AOP 02010100702