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Ocean wave energy harvesting with high energy density and self-powered monitoring system

Author

Listed:
  • Ze-Qi Lu

    (Shanghai University
    Shanghai University)

  • Long Zhao

    (Shanghai University
    Shanghai University)

  • Hai-Ling Fu

    (Beijing Institute of Technology)

  • Eric Yeatman

    (Imperial College London)

  • Hu Ding

    (Shanghai University)

  • Li-Qun Chen

    (Shanghai University)

Abstract

Constructing a ocean Internet of Things requires an essential ocean environment monitoring system. However, the widely distributed existing ocean monitoring sensors make it impractical to provide power and transmit monitored information through cables. Therefore, ocean environment monitoring systems particularly need a continuous power supply and wireless transmission capability for monitoring information. Consequently, a high-strength, environmentally multi-compatible, floatable metamaterial energy harvesting device has been designed through integrated dynamic matching optimization of materials, structures, and signal transmission. The self-powered monitoring system breaks through the limitations of cables and batteries in the ultra-low-frequency wave environment (1 to 2 Hz), enabling real-time monitoring of various ocean parameters and wirelessly transmitting the data to the cloud for post-processing. Compared with solar and wind energy in the ocean environment, the energy harvesting device based on the defective state characteristics of metamaterials achieves a high-energy density (99 W/m3). For the first time, a stable power supply for the monitoring system has been realized in various weather conditions (24 h).

Suggested Citation

  • Ze-Qi Lu & Long Zhao & Hai-Ling Fu & Eric Yeatman & Hu Ding & Li-Qun Chen, 2024. "Ocean wave energy harvesting with high energy density and self-powered monitoring system," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50926-5
    DOI: 10.1038/s41467-024-50926-5
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    as
    1. Sun, Peidong & Xu, Bin & Wang, Jichao, 2022. "Long-term trend analysis and wave energy assessment based on ERA5 wave reanalysis along the Chinese coastline," Applied Energy, Elsevier, vol. 324(C).
    2. Arguilé-Pérez, B. & Ribeiro, A.S. & Costoya, X. & deCastro, M. & Gómez-Gesteira, M., 2023. "Suitability of wave energy converters in northwestern Spain under the near future winter wave climate," Energy, Elsevier, vol. 278(PB).
    3. Zhang, H. & Aggidis, G.A., 2018. "Nature rules hidden in the biomimetic wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 28-37.
    4. Xiaomei Li & Francisco Bodziony & Mariana Yin & Holger Marschall & Rüdiger Berger & Hans-Jürgen Butt, 2023. "Kinetic drop friction," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    5. Thi Kim Tuoi, Truong & Van Toan, Nguyen & Ono, Takahito, 2022. "Self-powered wireless sensing system driven by daily ambient temperature energy harvesting," Applied Energy, Elsevier, vol. 311(C).
    6. Kazemi, Shahriar & Nili-Ahmadabadi, Mahdi & Tavakoli, Mohammad Reza & Tikani, Reza, 2021. "Energy harvesting from longitudinal and transverse motions of sea waves particles using a new waterproof piezoelectric waves energy harvester," Renewable Energy, Elsevier, vol. 179(C), pages 528-536.
    7. Jun Chen & Yi Huang & Nannan Zhang & Haiyang Zou & Ruiyuan Liu & Changyuan Tao & Xing Fan & Zhong Lin Wang, 2016. "Micro-cable structured textile for simultaneously harvesting solar and mechanical energy," Nature Energy, Nature, vol. 1(10), pages 1-8, October.
    8. Pengcheng Jiao & Jochen Mueller & Jordan R. Raney & Xiaoyu (Rayne) Zheng & Amir H. Alavi, 2023. "Mechanical metamaterials and beyond," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    9. Huawei Zhu & Liru Xu & Guodong Luan & Tao Zhan & Zepeng Kang & Chunli Li & Xuefeng Lu & Xueli Zhang & Zhiguang Zhu & Yanping Zhang & Yin Li, 2022. "A miniaturized bionic ocean-battery mimicking the structure of marine microbial ecosystems," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    10. Junhua Xu & Hongwei Cai & Zhuhao Wu & Xiang Li & Chunhui Tian & Zheng Ao & Vivian C. Niu & Xiao Xiao & Lei Jiang & Marat Khodoun & Marc Rothenberg & Ken Mackie & Jun Chen & Luke P. Lee & Feng Guo, 2023. "Acoustic metamaterials-driven transdermal drug delivery for rapid and on-demand management of acute disease," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    11. Huamei Wang & Liang Xu & Yu Bai & Zhong Lin Wang, 2020. "Pumping up the charge density of a triboelectric nanogenerator by charge-shuttling," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    12. Cheng, Yong & Song, Fukai & Xi, Chen & Collu, Maurizio & Yuan, Zhiming & Incecik, Atilla, 2023. "Feasibility of integrating a very large floating structure with multiple wave energy converters combining oscillating water columns and oscillating flaps," Energy, Elsevier, vol. 274(C).
    13. Jeff Tollefson, 2014. "Power from the oceans: Blue energy," Nature, Nature, vol. 508(7496), pages 302-304, April.
    14. Joellen Russell, 2018. "Ocean sensors can track progress on climate goals," Nature, Nature, vol. 555(7696), pages 287-287, March.
    15. Jianjun Luo & Ziming Wang & Liang Xu & Aurelia Chi Wang & Kai Han & Tao Jiang & Qingsong Lai & Yu Bai & Wei Tang & Feng Ru Fan & Zhong Lin Wang, 2019. "Flexible and durable wood-based triboelectric nanogenerators for self-powered sensing in athletic big data analytics," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    16. Jin Zhang & Wei Rui & Chengrong Ma & Ying Cheng & Xiaojun Liu & Johan Christensen, 2021. "Remote whispering metamaterial for non-radiative transceiving of ultra-weak sound," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    17. Miguel Molerón & Chiara Daraio, 2015. "Acoustic metamaterial for subwavelength edge detection," Nature Communications, Nature, vol. 6(1), pages 1-6, November.
    18. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    19. Qian Zhang & Qijie Liang & Dilip Krishna Nandakumar & Hao Qu & Qiongfeng Shi & Fuad Indra Alzakia & Darrell Jun Jie Tay & Lin Yang & Xueping Zhang & Lakshmi Suresh & Chengkuo Lee & Andrew Thye Shen We, 2021. "Shadow enhanced self-charging power system for wave and solar energy harvesting from the ocean," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    20. 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).
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