Computationally efficient nonlinear Froude–Krylov force calculations for heaving axisymmetric wave energy point absorbers

Most wave energy converters (WECs) are described by linear mathematical models, based on the main assumption of small amplitudes of motion. Notwithstanding the computational convenience, linear models can become inaccurate when large motions occur. On the other hand, nonlinear models are often time consuming to simulate, while model-based controllers require system dynamic models which can execute in real time. Therefore, this paper proposes a computationally efficient representation of nonlinear static and dynamic Froude–Krylov forces, valid for any heaving axisymmetric point absorber. Nonlinearities are increased by nonuniform WEC cross sectional area and large displacements induced by energy maximising control strategies, which prevent the device from behaving as a wave follower. Results also show that the power production assessment realized through a linear model can be overly optimistic and control parameters calculations should also reflect the true nonlinear nature of the WEC model.

[1]  Jack Hardisty,et al.  Experiments with point absorbers for wave energy conversion , 2012 .

[2]  Benedict D. Rogers,et al.  Wave body interaction in 2D using smoothed particle hydrodynamics (SPH) with variable particle mass , 2012 .

[3]  B. Lemehaute An introduction to hydrodynamics and water waves , 1976 .

[4]  Rico Hjerm Hansen,et al.  Modelling and Control of the Wavestar Prototype , 2011 .

[5]  Annette von Jouanne,et al.  Application of fluid–structure interaction simulation of an ocean wave energy extraction device , 2008 .

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

[7]  堀川 清司,et al.  Nonlinear water waves : IUTAM Symposium, Tokyo/Japan, August 25-28, 1987 , 1988 .

[8]  John Ringwood,et al.  Nonlinear Froude-Krylov force modelling for two heaving wave energy point absorbers , 2015 .

[9]  Andrew Stephen Zurkinden,et al.  Validation of a Partially Nonlinear Time Domain Model using instantaneous Froude-Krylov and Hydrostatic Forces , 2013 .

[10]  Frédéric Dias,et al.  Numerical Simulation of Wave Interaction With an Oscillating Wave Surge Converter , 2013 .

[11]  John V. Ringwood,et al.  Numerical Optimal Control of Wave Energy Converters , 2015, IEEE Transactions on Sustainable Energy.

[12]  John Ringwood,et al.  Implementation of latching control in a numerical wave tank with regular waves , 2016 .

[13]  Aurélien Babarit,et al.  On the numerical modelling of the non-linear behaviour of a wave energy converter , 2009 .

[14]  Torgeir Moan,et al.  Hybrid frequency-time domain models for dynamic response analysis of marine structures , 2008 .

[15]  Aurélien Babarit,et al.  Comparison of latching control strategies for a heaving wave energy device in random sea , 2004 .

[16]  F. Dias,et al.  Two – dimensional and three – dimensional simulation of wave interaction with an Oscillating Wave Surge Converter , 2013 .

[17]  Annette von Jouanne,et al.  Application of Fluid-Structure Interaction Simulation of an Ocean Wave Energy Extraction Device , 2006 .

[18]  John Ringwood,et al.  A Nonlinear Extension for Linear Boundary Element Methods in Wave Energy Device Modelling , 2012 .

[19]  A. Clément,et al.  Optimal Latching Control of a Wave Energy Device in Regular and Irregular Waves , 2006 .

[20]  Shane Butler,et al.  Optimisation of a wave energy converter , 2004 .

[21]  John Ringwood,et al.  A Review of Non-Linear Approaches for Wave Energy Converter Modelling , 2015 .

[22]  J. Gilloteaux,et al.  Mouvements de grande amplitude d'un corps flottant en fluide parfait. Application à la récupération de l'énergie des vagues. , 2007 .

[23]  J. Falnes Ocean Waves and Oscillating Systems , 2002 .

[24]  W. Cummins THE IMPULSE RESPONSE FUNCTION AND SHIP MOTIONS , 2010 .