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Study on the wave energy capture spectrum based on wave height take-off

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  • Gong, Haoxiang
  • Cao, Feifei
  • Han, Zhi
  • Liu, Shangze
  • Shi, Hongda

Abstract

With the progress in wave energy research, large-scale development has become a trend. In real sea states, the energy extraction characteristic of each unit is significant to the array's composition. Only focusing on the mean absorbed power for optimization cannot provide guidance for realizing the internal mechanism of the energy capture behavior. Therefore, by extending the concept of Wave Height Take-off (WHTO) to random waves, this paper proposed and defined the Wave Energy Capture Spectrum (WECS), which derives from the change of wave height to describe the energy extraction characteristics of wave energy converters in real sea states. Simulations were conducted in a validated 2D numerical wave flume with a cuboid heaving buoy under different sea states. Linear Power Take-off (PTO) damping coefficient was taken as an example for a parametric study of the WECS. The results verified the concept and showed that the optimization method of WECS can reveal the capture characteristics of the device from both the perspective of frequency and energy. The comparison of capture efficiency between WECS and the conventional PTO method indicated that the difference is not significant, which also examined the method. This manuscript aims to validate the concept and promote the method.

Suggested Citation

  • Gong, Haoxiang & Cao, Feifei & Han, Zhi & Liu, Shangze & Shi, Hongda, 2022. "Study on the wave energy capture spectrum based on wave height take-off," Energy, Elsevier, vol. 250(C).
    • Handle: RePEc:eee:energy:v:250:y:2022:i:c:s036054422200603x
    DOI: 10.1016/j.energy.2022.123700
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    References listed on IDEAS

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    1. Mahmoodi, Kumars & Razminia, Abolhassan & Ghassemi, Hassan, 2021. "Optimal control of wave energy converters with non-integer order performance indices: A dynamic programming approach," Renewable Energy, Elsevier, vol. 177(C), pages 1212-1233.
    2. Ji, Xueyu & Shami, Elie Al & Monty, Jason & Wang, Xu, 2020. "Modelling of linear and non-linear two-body wave energy converters under regular and irregular wave conditions," Renewable Energy, Elsevier, vol. 147(P1), pages 487-501.
    3. He, Zechen & Ning, Dezhi & Gou, Ying & Zhou, Zhimin, 2022. "Wave energy converter optimization based on differential evolution algorithm," Energy, Elsevier, vol. 246(C).
    4. Shi, Hongda & Zhao, Chenyu & Hann, Martyn & Greaves, Deborah & Han, Zhi & Cao, Feifei, 2019. "WHTO: A methodology of calculating the energy extraction of wave energy convertors based on wave height reduction," Energy, Elsevier, vol. 185(C), pages 299-315.
    5. Martin, Dillon & Li, Xiaofan & Chen, Chien-An & Thiagarajan, Krish & Ngo, Khai & Parker, Robert & Zuo, Lei, 2020. "Numerical analysis and wave tank validation on the optimal design of a two-body wave energy converter," Renewable Energy, Elsevier, vol. 145(C), pages 632-641.
    6. Sheng, Wanan, 2019. "Wave energy conversion and hydrodynamics modelling technologies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 482-498.
    7. Vasiliki Stratigaki & Peter Troch & Tim Stallard & David Forehand & Jens Peter Kofoed & Matt Folley & Michel Benoit & Aurélien Babarit & Jens Kirkegaard, 2014. "Wave Basin Experiments with Large Wave Energy Converter Arrays to Study Interactions between the Converters and Effects on Other Users in the Sea and the Coastal Area," Energies, MDPI, vol. 7(2), pages 1-34, February.
    8. Chen, Weixing & Wu, Zheng & Liu, Jimu & Jin, Zhenlin & Zhang, Xiantao & Gao, Feng, 2021. "Efficiency analysis of a 3-DOF wave energy converter (SJTU-WEC) based on modeling, simulation and experiment," Energy, Elsevier, vol. 220(C).
    9. Xiao, Han & Liu, Zhenwei & Zhang, Ran & Kelham, Andrew & Xu, Xiangyang & Wang, Xu, 2021. "Study of a novel rotational speed amplified dual turbine wheel wave energy converter," Applied Energy, Elsevier, vol. 301(C).
    10. Shi, Qijia & Xu, Daolin & Zhang, Haicheng, 2021. "Performance analysis of a raft-type wave energy converter with a torsion bi-stable mechanism," Energy, Elsevier, vol. 227(C).
    11. Jin, Peng & Zhou, Binzhen & Göteman, Malin & Chen, Zhongfei & Zhang, Liang, 2019. "Performance optimization of a coaxial-cylinder wave energy converter," Energy, Elsevier, vol. 174(C), pages 450-459.
    12. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
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    Cited by:

    1. Zhu, Kai & Shi, Hongda & Michele, Simone & Han, Meng & Cao, Feifei, 2024. "Analytical study on dynamic performance of a hybrid system in real sea states," Energy, Elsevier, vol. 290(C).
    2. Zhao, Lingxiao & Li, Zhiyang & Pei, Yuguo & Qu, Leilei, 2024. "Disentangled Seasonal-Trend representation of improved CEEMD-GRU joint model with entropy-driven reconstruction to forecast significant wave height," Renewable Energy, Elsevier, vol. 226(C).
    3. Han, Zhi & Cao, Feifei & Tao, Ji & Shi, Hongda, 2023. "Study on the energy capture spectrum (ECS) of a multi-DoF buoy under random waves," Energy, Elsevier, vol. 279(C).

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