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Weakly nonlinear theory for oscillating wave surge converters in a channel

Published online by Cambridge University Press:  17 November 2017

S. Michele*
Affiliation:
Department of Civil Engineering and Computer Science, Università degli Studi di Roma ‘Tor Vergata’, Via del Politecnico 1, 00133 Roma, Italy
P. Sammarco
Affiliation:
Department of Civil Engineering and Computer Science, Università degli Studi di Roma ‘Tor Vergata’, Via del Politecnico 1, 00133 Roma, Italy
M. d’Errico
Affiliation:
Department of Civil Engineering and Computer Science, Università degli Studi di Roma ‘Tor Vergata’, Via del Politecnico 1, 00133 Roma, Italy
*
Email address for correspondence: michele@ing.uniroma2.it

Abstract

We present a weakly nonlinear theory on the natural modes’ resonance of an array of oscillating wave surge converters (OWSCs) in a channel. We first derive the evolution equation of the Stuart–Landau type for the gate oscillations in uniform and modulated incident waves and then evaluate the nonlinear effects on the energy conversion performance of the array. We show that the gates are unstable to side-band perturbations so that a Benjamin–Feir instability similar to the case of Stokes’ waves is possible. The non-autonomous dynamical system presents period doubling bifurcations and strange attractors. We also analyse the competition of two natural modes excited by one incident wave. For weak damping and power take-off coefficient, the dynamical effects on the generated power of the OWSCs are investigated. We show that the occurrence of subharmonic resonance significantly increases energy production.

Information

Type
JFM Papers
Copyright
© 2017 Cambridge University Press 
Figure 0

Figure 1. Plan geometry of the array and side view of the gate in physical variables. The OWSCs do not span the entire water depth but are placed upon a vertical fixed wall on a rigid bottom.

Figure 1

Table 1. Physical parameters and their dimensions.

Figure 2

Table 2. Dimensionless quantities.

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Table 3. Flap and channel dimensions.

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Figure 2. Behaviour of the coefficients of the evolution equation versus the eigenfrequency $\unicode[STIX]{x1D714}$.

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Figure 3. (a) Maximum of the capture factor ${\mathcal{C}}_{max}^{F}$ versus the eigenfrequency of the array $\unicode[STIX]{x1D714}$. The capture factor reaches values larger than 0.5, i.e. the maximum that can be reached with synchronous motion only. (b) The optimal value of $\unicode[STIX]{x1D708}_{pto}$ versus eigenfrequency $\unicode[STIX]{x1D714}$. The power take-off increases with $\unicode[STIX]{x1D714}$.

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Figure 4. Bandwidth of instability versus the eigenfrequency of the array $\unicode[STIX]{x1D714}$. Gates with small inertia $I$ and large buoyancy $C$ increase the eigenfrequency of the mode and render the subharmonic resonance more observable and efficient to extract power from water waves.

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Figure 5. Bifurcation diagram of stable/unstable branches for the eigenfrequency of the natural mode $\unicode[STIX]{x1D714}=1.5~\text{rad}~\text{s}^{-1}$: – – –, unstable branch; ——, stable branch.

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Figure 6. Behaviour of the capture factor ${\mathcal{C}}^{F}$ versus detuning $\unicode[STIX]{x0394}\unicode[STIX]{x1D714}$.

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Figure 7. Melnikov criterion for determining lower bound of chaos in the plane $\tilde{A}{-}\unicode[STIX]{x1D6FA}$. Location of the minima depends on the eigenfrequency $\unicode[STIX]{x1D714}$ and tends to zero with the gate inertia. Moreover note that $\tilde{A}\rightarrow \infty$ for $\unicode[STIX]{x1D6FA}\rightarrow (0,\infty )$ and chaotic response becomes impracticable.

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Figure 8. Gate array response at $\tilde{A}=0.05~\text{m}$. Synchronous response. (a) Phase plane $X{-}Y$ and Poincaré map for the evolution of $\overline{\unicode[STIX]{x1D703}}$; (b) power spectrum of the gate oscillation.

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Figure 9. Subharmonic response at $\tilde{A}=0.14~\text{m}$.

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Figure 10. Chaos at $\tilde{A}=0.2~\text{m}$.

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Figure 11. Period-two response and downshift at $\tilde{A}=0.25~\text{m}$.

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Figure 12. Period doubling scenarios as $\tilde{A}$ increases from 0 to 0.35 m.

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Figure 13. Behaviour of the capture factor of the array in modulated incident waves. Minima correspond to the range of $\tilde{A}$ where chaos occurs while the maximum is located at $\tilde{A}=0~\text{m}$.

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Figure 14. Behaviour of the coefficients of the evolution equations versus the eigenfrequency of the mode $N_{2}$, $\unicode[STIX]{x1D714}_{2}$.

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Figure 15. Equilibrium branches of $R_{1}$ ad $R_{2}$ versus detuning of the incident wave $\unicode[STIX]{x0394}\unicode[STIX]{x1D714}$. The solid lines represent the stable equilibrium branch while the dotted lines represent the unstable branch.

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Figure 16. Behaviour of the capture factor due to triad resonance. Mode–mode interaction yields smaller values of ${\mathcal{C}}^{F}$ than the subharmonic resonance of a single mode.