On the energy conversion characteristics of a top-mounted pitching absorber by using smoothed particle hydrodynamics

Zheng, Xing; Chen, Guangmao; Cao, Wenjin; Xu, Hao; Zhao, Ruiying; Xu, Qianlong; Kramer, Morten; Touzé, David Le; Borthwick, Alistair G.L.; Li, Ye

doi:10.1016/j.enconman.2021.114893

Cited by 36 publications

(4 citation statements)

References 60 publications

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“…Smoothed particle hydrodynamics is used to address this issue, validated against measurements and showing good agreement in wave interaction simulations with the potential for siting larger devices in finite deep water. 12 To mitigate wind turbine fatigue, individual pitch control (IPC) is commonly used to reduce tilt and yaw moments, alleviating blade-root bending. The authors evaluated model predictive control (MPC), H-infinity (H∞), and proportional integral (PI)-based IPC strategies integrated with collective pitch control, showing H∞ IPC as the most effective in reducing damage equivalent load and blade-root bending moments.…”

Section: Related Workmentioning

confidence: 99%

Recurrent neural network for pitch control of variable-speed wind turbine

Asghar,

Ehsan,

Naveed

et al. 2024

Science Progress

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Wind is one of the most widely used renewable energy sources due to its cost-effectiveness, power requirements, operation, and performance. There are many challenges in wind turbines, such as wind fluctuation, pitch control, and generator speed control. When the wind speed exceeds its rated value, the pitch angle controller limits the generator output power to its rated value. In this research work, several soft computing techniques have been implemented for pitch control of variable-speed wind turbine. The data is collected for the National Renewable Energy Laboratory offshore 5 MW baseline wind turbine. Wind speed, tip speed ratio, and power coefficient are taken as inputs, and pitch angle as output. Machine learning and artificial intelligence-based techniques such as recurrent neural networks (RNNs), adaptive neuro-fuzzy inference system (ANFIS), multilayer perceptron feed-forward neural network (MLPFFNN), and fuzzy logic controller (FLC) are implemented on MATLAB, and their results are evaluated in terms of mean square error (MSE) and root mean square error (RMSE). The controllers have been implemented in MATLAB/Simulink to schedule the wind turbine blade pitch angle and keep the output power stable at the rated value. The experimental results show that RNN provided the best results for 15 neurons in hidden layers and 1000 epochs with MSE of 3.28e-11 and RMSE of 5.54e-06, followed by MLPFFNN with MSE of 2.17e-10 and RMSE of 1.56e-05, ANFIS with MSE of 8.5e-05 and RMSE of 9.22e-03, and FLC with MSE of 6.25e-04 and RMSE of 0.025. The proposed scheme is more reliable and robust and can be easily implemented on a physical setup by using interfacing cards such as dSPACE, NI cards, and data acquisition cards.

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Section: Related Workmentioning

confidence: 99%

Recurrent neural network for pitch control of variable-speed wind turbine

Asghar,

Ehsan,

Naveed

et al. 2024

Science Progress

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“…The SPH approach is beneficial for simulating the behavior of wave energy converters and other similar systems where fluid-solid interactions (FSIs) are critical [12,13]. SPH was used in [14] for a top-mounted pitching absorber simulation, improving displacement predictions. SPH models also prove robust in handling complex wave phenomena.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Study of the Performance of Point Absorber Wave Energy Converters

Rathaur,

Verdin,

Ghosh

2024

Applied Sciences

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Free-floating and submerged wave energy converters (SWECs) are regarded as promising technologies for renewable energy production. These converters rely on a heave-motion buoy to capture the kinetic energy of ocean waves and convert it into electrical energy through power conversion systems. To better understand the impact of various factors on power generation and efficiency, the effects of different buoy shapes (rectangular, circular cylinder, and trapezoidal fin), submergence depths (0, 0.1, and 0.2 m), wave heights (0.04, 0.06, and 0.1 m), and spring stiffness (50 and 100 N/m) were investigated. A 2D numerical wave tank with a buoy was simulated, and the results were validated against experimental data. Information on vorticity, vertical displacement, power absorption, and efficiency are provided. The findings indicate that the buoy shape and wave height significantly affect power absorption and efficiency. Additionally, this study reveals that increasing submergence leads to higher power absorption and lower conversion efficiency.

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“…Hence, the SPH is used to model wave-WEC interaction, and multibody solver is used to model the flap-mechanical constraints interaction. The top-mounted pitching point absorber has also been modelled using DualSPHysics [29]. This device has a working principle similar to WEHC, however, in [29], a mechanical constraint between lever arm and floater and the effects of breakwater geometry were not considered.…”

Section: Introductionmentioning

confidence: 99%

“…The top-mounted pitching point absorber has also been modelled using DualSPHysics [29]. This device has a working principle similar to WEHC, however, in [29], a mechanical constraint between lever arm and floater and the effects of breakwater geometry were not considered.…”

Section: Introductionmentioning

confidence: 99%

Numerical Model of Constrained Wave Energy Hyperbaric Converter under Full-Scale Sea Wave Conditions

Brito

Bernardo

Neves

et al. 2022

JMSE

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A 2D numerical investigation of the power absorption of a constrained wave energy hyperbaric converter (WEHC) under full-scale sea wave conditions is presented. A fully non-linear numerical model DualSPHysics, based on the coupling of a smoothed particle hydrodynamics (SPH) fluid solver with a multibody dynamics solver, is used to model the interaction between wave and WEHC sub-systems. The numerical model was first validated against experimental data for a similar device, with a good accordance between PTO position and velocity. The model is then employed to study the hydrodynamics of a constrained WEHC considering several sea states, different hydraulic power take-off (PTO) damping and breakwater geometries. It is observed that the capture width ratio (CWR) is particularly sensitive to variations in the PTO damping, although the CWR absolute maximum is less sensitive considering mild variations applied to the PTO damping. Both wave height and wave period have an important effect on the CWR. The breakwater geometry is also essential for the performance of the WEHC, with a decrease in maximum CWR of about 15% for porous breakwater. These results are necessary to understand the full-scale behaviour of WEHC.

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On the energy conversion characteristics of a top-mounted pitching absorber by using smoothed particle hydrodynamics

Cited by 36 publications

References 60 publications

Recurrent neural network for pitch control of variable-speed wind turbine

Recurrent neural network for pitch control of variable-speed wind turbine

A Numerical Study of the Performance of Point Absorber Wave Energy Converters

Numerical Model of Constrained Wave Energy Hyperbaric Converter under Full-Scale Sea Wave Conditions

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