Investigating the adaptability of the multi-pump multi-piston power take-off system for a novel wave energy converter

In this work, a numerical model is developed in order to investigate the adaptability of the multi-pump multi-piston power take-off (MP2PTO) system of a novel wave energy converter (WEC). This model is realized in the MATLAB/SIMULINK environment, using the multi-body dynamics solver Multibody™, which is based on the open-source tool WEC-Sim. Furthermore, the hydrodynamic coefficients are calculated using the open-source code NEMOH. After providing the description of the model, it is validated against experimental results and an analytical model, showing good agreement with both. Subsequently, simulations for a single floater device with a multi-piston pump (MPP) unit using our numerical model are carried out to demonstrate the adaptability of the WEC. In addition, the results demonstrate that the MPP with a simple control strategy can extract more energy than any non-adaptable piston pump under various sea states. Finally, a floater blanket (an array of interconnected floaters) model is developed to shed some light on the hydrodynamic response and the performance of MPPs. The developed numerical model will be used in the future to optimize the MP2PTO configuration, and to develop an energy maximization control strategy for the MP2PTO system.

[1]  Aurélien Babarit,et al.  Numerical benchmarking study of a selection of wave energy converters , 2012 .

[2]  M. Mccormick.  Ocean Wave-Energy Conversion , 2019, Encyclopedia of Ocean Sciences.

[3]  Bayu Jayawardhana,et al.  Revenue Optimization for the Ocean Grazer Wave Energy Converter through Storage Utilization , 2016 .

[4]  John S. Anagnostopoulos,et al.  Mechanical design and modeling of a single-piston pump for the novel power take-off system of a wave energy converter , 2016 .

[5]  Mohammad-Reza Alam,et al.  Nonlinear analysis of an actuated seafloor-mounted carpet for a high-performance wave energy extraction , 2012, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[6]  J. R. Morison,et al.  The Force Exerted by Surface Waves on Piles , 1950 .

[7]  Tristan Perez,et al.  A Matlab toolbox for parametric identification of radiation-force models of ships and offshore structures , 2009 .

[8]  John V. Ringwood,et al.  Energy-Maximizing Control of Wave-Energy Converters: The Development of Control System Technology to Optimize Their Operation , 2014, IEEE Control Systems.

[9]  Ye Li,et al.  A synthesis of numerical methods for modeling wave energy converter-point absorbers , 2012 .

[10]  Bayu Jayawardhana,et al.  Energy Capture Optimization for an Adaptive Wave Energy Converter , 2016 .

[11]  W. A. Prins,et al.  Experimental performance evaluation and validation of dynamical contact models of the Ocean Grazer , 2015, OCEANS 2015 - Genova.

[12]  Grégory S. Payne,et al.  On the concept of sloped motion for free-floating wave energy converters , 2015, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[13]  Michael J. Lawson,et al.  Preliminary Verification and Validation of WEC-Sim, an Open-Source Wave Energy Converter Design Tool , 2014 .

[14]  Chiang C. Mei,et al.  An array of Hagen-Cockerell wave power absorbers in head seas , 1982 .

[15]  E. Renzi,et al.  Hydrodynamics of the oscillating wave surge converter in the open ocean , 2012, 1210.1149.

[16]  A. Babarit,et al.  Theoretical and numerical aspects of the open source BEM solver NEMOH , 2015 .