Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool

This paper uses experimental data to validate a wave energy converter (WEC) array hydrodynamics tool developed within the context of linearized potential flow theory. To this end, wave forces and power absorption by an array of five-point absorber WECs in monochromatic and panchromatic waves were measured from a set of deep-water wave basin experimental tests. Unlike the few other examples of WEC array experimental campaigns, the power take-off (PTO) system of each WEC was simulated by means of advanced equipment capable of accurately reproducing linear control strategies and, thereby, reducing the uncertainty in the physical model. Experimental measurements are then compared with numerical predictions showing reasonable agreement; the measured trends are, in the same way, well captured by the numerical predictions. Further analysis demonstrates that the developed tool can predict, on the safe side, wave forces and power absorption with less than 17.5% and 23.0% error, respectively, for more than 68% of the predictions.

[1]  Francesco Ferri,et al.  Sensitivity Analysis of WEC Array Layout Parameters Effect on the Power Performance , 2015 .

[2]  Aurélien Babarit,et al.  Impact of wave interactions effects on energy absorption in large arrays of wave energy converters , 2012 .

[3]  K. Budal Theory for Absorption of Wave Power by a System of Interacting Bodies , 1977 .

[4]  D. Forehand,et al.  A novel method for deriving the diffraction transfer matrix and its application to multi-body interactions in water waves , 2015 .

[5]  John Dalsgaard Sørensen,et al.  Structural Reliability of Plain Bearings for Wave Energy Converter Applications , 2016 .

[6]  António F.O. Falcão,et al.  Wave energy utilization: A review of the technologies , 2010 .

[7]  W. Short,et al.  A manual for the economic evaluation of energy efficiency and renewable energy technologies , 1995 .

[8]  Lawrence V. Snyder,et al.  Layouts for ocean wave energy farms: Models, properties, and optimization , 2017 .

[9]  John Dalsgaard Sørensen,et al.  Fatigue reliability and calibration of fatigue design factors of wave energy converters , 2015 .

[10]  P. Frigaard,et al.  Performance Evaluation of the Wavestar Prototype , 2011 .

[11]  V. Venugopal,et al.  Optimal configurations of wave energy device arrays , 2010 .

[12]  Johannes Falnes,et al.  A REVIEW OF WAVE-ENERGY EXTRACTION , 2007 .

[13]  A. Clément,et al.  Wave energy in Europe: current status and perspectives , 2002 .

[14]  Francesco Ferri,et al.  Validation of a Wave-Body Interaction Model by Experimental Tests , 2013 .

[15]  Peter A. Troch,et al.  Wave Basin Experiments with Large Wave Energy Converter Arrays to Study Interactions between the Converters and Effects on Other Users in the Sea and the Coastal Area , 2014 .

[16]  A. Babarit Impact of long separating distances on the energy production of two interacting wave energy converters , 2010 .

[17]  Alexandros A. Taflanidis,et al.  Layout Optimization of Wave Energy Converters in a Random Sea , 2015 .

[18]  Jon Andreu,et al.  Review of wave energy technologies and the necessary power-equipment , 2013 .

[19]  D. Yue,et al.  Interactions among multiple three-dimensional bodies in water waves: an exact algebraic method , 1986, Journal of Fluid Mechanics.

[20]  Scott Beatty,et al.  Non-Linear Numerical Modeling and Experimental Testing of a Point Absorber Wave Energy Converter , 2014 .

[21]  John Dalsgaard Sørensen,et al.  Stochastic modeling of long-term and extreme value estimation of wind and sea conditions for probabilistic reliability assessments of wave energy devices , 2014 .