Modelling of linear and non-linear two-body wave energy converters under regular and irregular wave conditions

Ji, Xueyu; Shami, Elie Al; Monty, Jason; Wang, Xu

doi:10.1016/j.renene.2019.09.010

Cited by 34 publications

(5 citation statements)

References 21 publications

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“…The viscous damping b vis cannot be solved by ANSYS AQWA but is small compared to the radiational damping and can be linearized as [42]:…”

Section: Hydrodynamic Analysis Of the Wecmentioning

confidence: 99%

A wave energy converter based on a zero-pressure-angle mechanism for self-powered applications in near-zero energy sea-crossing bridges

Jia¹,

Cao²,

Pan³

et al. 2022

Smart Mater. Struct.

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The concept of near-zero energy conversion from ocean waves is an emerging topic that can be applied to supply power to self-powered applications in sea-crossing bridges. In this paper, a point-absorbing wave energy converter (WEC) with a novel zero-pressure-angle mechanism structure was proposed and investigated. The system includes a wave energy capture module, power take-off module (PTO), generator module, and energy storage module. The proposed PTO structure consists of a pair of guide rods, zero-pressure-angle rockers, gearbox, and flywheel, which convert the oscillation of the buoy into unidirectional continuous rotation of the generator, and electricity is stored in the supercapacitor. For accurate prediction, kinematic and dynamic approaches were employed for the non-constant damping PTO. The Mechanical Test and Sensing system (MTS) experiments achieved the highest mechanical efficiency of 81.87%, the maximum output power of 5.49 W, and the 53.44% average efficiency. It was found that the PTO with a flywheel can effectively improve the output performance compared to without a flywheel. In addition, the experiments of the actual WEC were performed and recorded an output power ranging from 0.964W to 3.218W, proving that the proposed structure meets the power requirements for self-powered sea-crossing bridge applications.

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“…The viscous damping b vis cannot be solved by ANSYS AQWA but is small compared to the radiational damping and can be linearized as [42]:…”

Section: Hydrodynamic Analysis Of the Wecmentioning

confidence: 99%

A wave energy converter based on a zero-pressure-angle mechanism for self-powered applications in near-zero energy sea-crossing bridges

Jia¹,

Cao²,

Pan³

et al. 2022

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…At present, the most widely used wave spectra are mainly PM spectrum and JONSWAP spectrum [26]. Because the latter takes into account the influence of wind speed and wind distance, it can better reflect the real situation of the waves.…”

Section: S (𝜔)mentioning

confidence: 99%

“…where, P out is the generator single-phase output power, V is the generator single-phase output voltage, R L is the single phase load resistance. The transformation equation of the voltage from the threephase stationary coordinate system to the two-phase rotating coordinate system is shown in Equation (26).…”

Section: Dynamic Model and Simulation Of The Permanent Magnet Synchro...mentioning

confidence: 99%

Maximum power point tracking control for mechanical rectification wave energy converter

Zhao

Zhan

et al. 2021

IET Renewable Power Gen

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As a clean and renewable energy, wave energy has abundant reserves, and its reasonable development and utilization can effectively alleviate the problems of energy shortage and environmental pollution. This paper proposes a mechanical rectification wave energy converter. The reciprocating linear motion of the buoy is directly converted into the rotary motion through the ball screw. The magnetic coupling force transmission system is adopted to ensure the sealing of the device. Using mechanical rectification mechanism to ensure the service life of the generator. In addition, a dynamic model of the mechanical rectification wave energy converter is established. Through simulation analysis, the curve of power with load resistance is obtained. And there is an optimal load resistance value corresponding to the maximum power in different wave conditions. In order to improve the power generation efficiency, the maximum power point tracking control algorithm is designed based on the admittance differentiation method. By controlling the duty cycle of the switch tube in the Buck-Boost chopper circuit, the variable load is realized, and then the maximum power point tracking control is realized. Finally, simulation analysis verifies the feasibility of the algorithm under different wave conditions.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Ma [18] researched the two-body floating point absorber and the results showed that stiffness coefficient had less effect on the power generation than damping coefficient. Ji [19] proved that PTO damping coefficient and submerged body volume were the most important parameters that affect the output power, and that the significant wave height had little influence on conversion efficiency. Tongphong [20] analyzed the effects of wave frequency, PTO damping coefficient, and structure form (floating or fixed) on capture factors.…”

Section: Introductionmentioning

confidence: 99%

Capture Power Prediction of the Frustum of a Cone Shaped Floating Body Based on BP Neural Network

Wang

Liu

Bai

et al. 2021

JMSE

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How to improve the power generation of wave energy converters (WEC) has become one of the main research objectives in wave energy field. This paper illustrates a framework on the use of back propagation (BP) neural network in predicting capture power of the frustum of a cone shaped floating body. Mathematical model of single floating body is derived, and radius, semi-vertical angle, mass, submergence depth, power take-off (PTO) damping coefficient, and stiffness coefficient are identified as key variables. Commercial software ANSYS-AQWA is used for numerical simulations to obtain hydrodynamic parameters, and then capture power is calculated by these parameters. A database containing 100 samples is established by Latin hypercube sampling (LHS) method, and a simple feature study is conducted. A BP neural network model with high accuracy is designed and trained for predictions based on built database. The results show that forecasting results and desired outputs are in great agreement with error percentage not greater than 4%, correlation coefficient (CC) greater than 0.9, P value close to 1, and root mean square error (RMSE) less than 139 W. The proposed method provides a guideline for designers to identify basic parameters of the floating body and system damping coefficient.

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Modelling of linear and non-linear two-body wave energy converters under regular and irregular wave conditions

Cited by 34 publications

References 21 publications

A wave energy converter based on a zero-pressure-angle mechanism for self-powered applications in near-zero energy sea-crossing bridges

A wave energy converter based on a zero-pressure-angle mechanism for self-powered applications in near-zero energy sea-crossing bridges

Maximum power point tracking control for mechanical rectification wave energy converter

Capture Power Prediction of the Frustum of a Cone Shaped Floating Body Based on BP Neural Network

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