Oscillating body wave energy conversion efficiency based on Simulink simulation training
Abstract With the development of the economy and society, we are faced with the dual challenges of energy demands and environmental pollution. As one of the important marine renewable energies, wave energy is widely distributed and abundant, and has considerable applications in various fields. Oscil...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2024-04-01
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Series: | Energy Science & Engineering |
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Online Access: | https://doi.org/10.1002/ese3.1671 |
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author | Yue Yin Zhicheng Lu Yutao Li Weinuo Huang Hongyi Huang Chi Zhang Qi‐Hui Wu Minfeng Wu |
author_facet | Yue Yin Zhicheng Lu Yutao Li Weinuo Huang Hongyi Huang Chi Zhang Qi‐Hui Wu Minfeng Wu |
author_sort | Yue Yin |
collection | DOAJ |
description | Abstract With the development of the economy and society, we are faced with the dual challenges of energy demands and environmental pollution. As one of the important marine renewable energies, wave energy is widely distributed and abundant, and has considerable applications in various fields. Oscillating body wave energy converter (WEC) is most popular among WECs; its energy conversion efficiency is thus one of the key issues for practical large‐scale applications. This article establishes a new model of the float and vibrator under different motion conditions, conducts simulation training, and then solves the displacement and velocity at different times, and finally optimizes the maximum output power and optimal damping coefficient. Simulink calculation is one of the most effective tools including neural networks, which allows us to achieve intelligent training and simulation. The obtained data imply that the maximum output power could be 8.102 W when the corresponding linear damping is 21,000 N s/m and the rotation damping is 95,000 N s/m. The article takes into account the pitching motion of the float, providing a more realistic model and obtaining optimal power absorbing efficiency. The obtained results could be the potential reference data in practically setting up the wave energy conversion systems. |
first_indexed | 2024-04-24T08:11:06Z |
format | Article |
id | doaj.art-e5828a6c5d1b4fc4b1ea8bf274aecc90 |
institution | Directory Open Access Journal |
issn | 2050-0505 |
language | English |
last_indexed | 2024-04-24T08:11:06Z |
publishDate | 2024-04-01 |
publisher | Wiley |
record_format | Article |
series | Energy Science & Engineering |
spelling | doaj.art-e5828a6c5d1b4fc4b1ea8bf274aecc902024-04-17T05:33:22ZengWileyEnergy Science & Engineering2050-05052024-04-011241411142110.1002/ese3.1671Oscillating body wave energy conversion efficiency based on Simulink simulation trainingYue Yin0Zhicheng Lu1Yutao Li2Weinuo Huang3Hongyi Huang4Chi Zhang5Qi‐Hui Wu6Minfeng Wu7School of Electrical Engineering and Artificial Intelligence Xiamen University Malaysia Sepang MalaysiaSchool of Computing and Data Science Xiamen University Malaysia Sepang MalaysiaSchool of Energy and Chemical Engineering Xiamen University Malaysia Sepang MalaysiaSchool of Computing and Data Science Xiamen University Malaysia Sepang MalaysiaSchool of Electrical Engineering and Artificial Intelligence Xiamen University Malaysia Sepang MalaysiaSchool of Energy and Chemical Engineering Xiamen University Malaysia Sepang MalaysiaSchool of Marine Equipment and Mechanical Engineering Jimei University Xiamen ChinaSchool of Electrical Engineering and Artificial Intelligence Xiamen University Malaysia Sepang MalaysiaAbstract With the development of the economy and society, we are faced with the dual challenges of energy demands and environmental pollution. As one of the important marine renewable energies, wave energy is widely distributed and abundant, and has considerable applications in various fields. Oscillating body wave energy converter (WEC) is most popular among WECs; its energy conversion efficiency is thus one of the key issues for practical large‐scale applications. This article establishes a new model of the float and vibrator under different motion conditions, conducts simulation training, and then solves the displacement and velocity at different times, and finally optimizes the maximum output power and optimal damping coefficient. Simulink calculation is one of the most effective tools including neural networks, which allows us to achieve intelligent training and simulation. The obtained data imply that the maximum output power could be 8.102 W when the corresponding linear damping is 21,000 N s/m and the rotation damping is 95,000 N s/m. The article takes into account the pitching motion of the float, providing a more realistic model and obtaining optimal power absorbing efficiency. The obtained results could be the potential reference data in practically setting up the wave energy conversion systems.https://doi.org/10.1002/ese3.1671maximum poweroptimal damping coefficientSimulink simulation trainingwave energy |
spellingShingle | Yue Yin Zhicheng Lu Yutao Li Weinuo Huang Hongyi Huang Chi Zhang Qi‐Hui Wu Minfeng Wu Oscillating body wave energy conversion efficiency based on Simulink simulation training Energy Science & Engineering maximum power optimal damping coefficient Simulink simulation training wave energy |
title | Oscillating body wave energy conversion efficiency based on Simulink simulation training |
title_full | Oscillating body wave energy conversion efficiency based on Simulink simulation training |
title_fullStr | Oscillating body wave energy conversion efficiency based on Simulink simulation training |
title_full_unstemmed | Oscillating body wave energy conversion efficiency based on Simulink simulation training |
title_short | Oscillating body wave energy conversion efficiency based on Simulink simulation training |
title_sort | oscillating body wave energy conversion efficiency based on simulink simulation training |
topic | maximum power optimal damping coefficient Simulink simulation training wave energy |
url | https://doi.org/10.1002/ese3.1671 |
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