A study was performed to optimize the geometry of a point absorber style wave energy converter (WEC). An axisymmetric single-body device, moving in heave only, was considered. Design geometries, generated using a parametric definition, were optimized using genetic algorithms. Each geometry was analyzed using a boundary element model (BEM) tool to obtain corresponding frequency domain models. Based on these models, a pseudo-spectral method was applied to develop a control methodology for each geometry. The performance of each design was assessed using a Bretschneider sea state. The objective of optimization is to maximize harvested energy. In this preliminary investigation, a constraint is imposed on the the geometry to guarantee a linear dynamic model would be valid for all geometries generated by the optimization tool. Numerical results are presented for axisymmetric buoy shapes.
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ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
June 25–30, 2017
Trondheim, Norway
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-5778-6
PROCEEDINGS PAPER
WEC Geometry Optimization With Advanced Control
Ossama Abdelkhalik,
Ossama Abdelkhalik
Michigan Technological University, Houghton, MI
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Ryan G. Coe,
Ryan G. Coe
Sandia National Laboratories, Albuquerque, NM
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Giorgio Bacelli,
Giorgio Bacelli
Sandia National Laboratories, Albuquerque, NM
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David G. Wilson
David G. Wilson
Sandia National Laboratories, Albuquerque, NM
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Ossama Abdelkhalik
Michigan Technological University, Houghton, MI
Ryan G. Coe
Sandia National Laboratories, Albuquerque, NM
Giorgio Bacelli
Sandia National Laboratories, Albuquerque, NM
David G. Wilson
Sandia National Laboratories, Albuquerque, NM
Paper No:
OMAE2017-61917, V010T09A031; 8 pages
Published Online:
September 25, 2017
Citation
Abdelkhalik, O, Coe, RG, Bacelli, G, & Wilson, DG. "WEC Geometry Optimization With Advanced Control." Proceedings of the ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. Volume 10: Ocean Renewable Energy. Trondheim, Norway. June 25–30, 2017. V010T09A031. ASME. https://doi.org/10.1115/OMAE2017-61917
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