2018
DOI: 10.1007/s10409-018-0792-x
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An improved boundary element method for modelling a self-reacting point absorber wave energy converter

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Cited by 10 publications
(3 citation statements)
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“…Another solution is the MPC [22][23][24], where the model is used to predict the future response of the system. This method can accurately estimate the parameters of the point-absorbing type WEC and search the maximum power point without detecting the dominant frequency of the wave.…”
Section: Introductionmentioning
confidence: 99%
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“…Another solution is the MPC [22][23][24], where the model is used to predict the future response of the system. This method can accurately estimate the parameters of the point-absorbing type WEC and search the maximum power point without detecting the dominant frequency of the wave.…”
Section: Introductionmentioning
confidence: 99%
“…The hill-climbing method cannot search the global maximum power point among multiple extreme points, due to its monotonous search Currently, various control methods of point-absorber type WEC for optimizing wave energy capture have been proposed, where the implementation complexity, the accuracy and the tracking speed of these techniques are different. These control techniques can be classified into four categories: (1) phase and amplitude control [15][16][17][18], (2) complex conjugate control [19][20][21], (3) model predictive control (MPC) [22][23][24], and (4) extremum-seeking control [25].…”
Section: Introductionmentioning
confidence: 99%
“…By building a numerical simulator, it was concluded that the PTO damping function and the spring properties play important roles in effectively harnessing the wave energy. In 2018, a numerical model based on the boundary element method (BEM) was developed by Xu et al 25 to predict the performance of a two-body, self-reacting, floating-point absorber wave energy system that operates predominantly in heave, and the key numerical issues in applying the BEM were systematically discussed, which solved a main source of difficulty in the BEM.…”
Section: Introductionmentioning
confidence: 99%