Numerical wave modeling for operational and survival analyses of wave energy converters at the US Navy Wave Energy Test Site in Hawaii

Li, Ning; Cheung, Kwok Fai; Cross, Patrick

doi:10.1016/j.renene.2020.06.089

Cited by 16 publications

(4 citation statements)

References 38 publications

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“…This would be helpful in locating the best site for tidal energy converters. Reliable wave information can also be obtained up to 4 days ahead [19]. Not only does this facilitate the power dispatching and help the grid operators to meet the baseload requirements, but also it offers the possible integration of wave with wind or solar energies.…”

Section: Advantagesmentioning

confidence: 99%

Recent advances in wave energy conversion systems: From wave theory to devices and control strategies

et al. 2022

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Section: Advantagesmentioning

confidence: 99%

Recent advances in wave energy conversion systems: From wave theory to devices and control strategies

et al. 2022

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“…Because of the importance of accurately predicting SWH, researchers have conducted extensive research on SWH prediction methods. Traditional methods mainly include statistical methods and numerical simulation methods and have been widely used in global sea state prediction (Group, 1988;Vanem, 2016;Kazeminezhad and Siadatmousavi, 2017;Umesh and Swain, 2018;Liang et al, 2019;Liu et al, 2019;Swain et al, 2019;Emmanouil et al, 2020;Gao et al, 2020;Li et al, 2020;Gao et al, 2021a). Both statistical methods and numerical simulation methods attempt to predict SWH through approximate mathematical relational models.…”

Section: Introductionmentioning

confidence: 99%

Significant wave height prediction based on deep learning in the South China Sea

Hao

Gao

2023

Front. Mar. Sci.

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Significant wave height (SWH) prediction can effectively improve the safety of marine activities and reduce the occurrence of maritime accidents, which is of great significance to national security and the development of the marine economy. In this study, we comprehensively analyzed the SWH prediction performance of the recurrent neural network (RNN), long short-term memory network (LSTM), and gated recurrent unit network (GRU) by considering different input lengths, prediction lengths, and model complexity. The experimental results show that (1) the input length impacts the prediction results of SWH, but it does not mean that the longer the input length, the better the prediction performance. When the input length is 24h, the prediction performance of RNN, LSTM, and GRU models is better. (2) The prediction length influences the SWH prediction results. As the prediction length increases, the prediction performance gradually decreases. Among them, RNN is not suitable for 48h long-term SWH prediction. (3) The more layers of the model, the better the SWH prediction performance is not necessarily. When the number of layers is set to 3 or 4, the model’s prediction performance is better.

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“…Many countries have made plans to develop wave energy and have also developed various wave energy converters. Researchers in the US, Europe, and Australia previously developed these technologies, therefore, some have already been commercially operated [17][18][19][20]. The Korea Maritime and Ocean University developed a floating horizontal-axis wave energy model device that utilizes mainly the rise and fall of water on the flanks of the turbine that follows the movement of the waves to rotate the turbine and then uses the driving force to power devices through a force transmitter.…”

Section: Introductionmentioning

confidence: 99%

Mooring Angle Study of a Horizontal Rotor Wave Energy Converter

et al. 2021

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The horizontal rotor wave energy converter is a newly designed wave energy converter. While the mooring system plays a vital role in keeping the device floating stably, the selection of the mooring angle has immediate effects on the device’s floating stability and energy generation efficiency. Given the properties of wave energy along the coast in Shandong Province, this study combines wave statistics gathered from field measurements of a certain area in the Bohai Sea with hydrological data obtained in a field test in the same sea area and adopts Stokes’ fifth-order wave theory to theoretically design and simulate the mooring system for the new type of power generating device. With the help of AQWA software, data on the dynamics of the device at various angles are obtained to construct models and carry out regular wave experiments according to the most appropriate mooring angles to show the validity of the selected mooring angles. The consistency of the results between the experiment and simulation confirms that under the same working conditions of regular waves, as the mooring angle increases, the roll angle decreases first and then increases, the pitch angle barely varies, and the yaw angle decreases first and then increases. The adoption of this simulation method and the gathered experimental data help to provide theoretical and practical bases for choosing the mooring method for the engineering prototype and obtaining a reliable supply of power.

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Numerical wave modeling for operational and survival analyses of wave energy converters at the US Navy Wave Energy Test Site in Hawaii

Cited by 16 publications

References 38 publications

Recent advances in wave energy conversion systems: From wave theory to devices and control strategies

Recent advances in wave energy conversion systems: From wave theory to devices and control strategies

Significant wave height prediction based on deep learning in the South China Sea

Mooring Angle Study of a Horizontal Rotor Wave Energy Converter

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