Skip to main content
SpringerLink
Log in

A static-dynamic energy harvester for a self-powered ocean environment monitoring application

  • Article
  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

Ocean intelligent buoy is important for ocean environment monitoring. With the increase of requisite sensors and transportable data, a long power supply has become a problem to be solved urgently. In this work, a hybrid nanogenerator integrating triboelectric, piezoelectric, electromagnetic, photovoltaic, and thermotropic units is proposed to maximize ocean ambient energy harvesting, which includes static energy (solar and thermal energy) and dynamic energy (wave energy). Compared with a device with a single energy conversion mechanism, this structural design breaks the limit of harvesting time and natural conditions during the energy harvesting process, thereby increasing the harvested energy. Static energy harvesting is realized by the thermoelectric (TG) and photovoltaic (PV) units located inside the device and the PV unit attached to the device surface. Results show that the maximum open-circuit voltage and short-circuit current are 5 V and 41 mA in the external PV and 1.33 V and 49 mA in the internal PV under 30000 Lux illumination, respectively. The open-circuit voltage and short-circuit current of the TG unit are 5 V and 15 mA, respectively. The core component of the dynamic generation unit is the gimbal used to harvest wave energy by the triboelectric nanogenerator (TENG), piezoelectric generator (PENG), and electromagnetic generator. When the frequency is 2.4 Hz, the maximum peak-to-peak power of the TENG, PENG, and EMG are 0.25, 1.58, and 13.8 mW, respectively. Finally, an intelligent ocean buoy is fabricated by the integration of an energy harvester, a power management circuit, sensors, a microcontroller, and a wireless communication module. Driven by static and dynamic energy, temperature signal, humidity signal, GPS signal, and sound signal are sent to the receiving terminal wirelessly. The ocean energy harvester proposed in this work is of great significance for ocean energy harvesting and ocean wireless monitoring systems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Wei X, Zhao Z, Zhang C, et al. All-weather droplet-based triboelectric nanogenerator for wave energy harvesting. ACS Nano, 2021, 15: 13200–13208

    Article  Google Scholar 

  2. Feng L, Liu G, Guo H, et al. Hybridized nanogenerator based on honeycomb-like three electrodes for efficient ocean wave energy harvesting. Nano Energy, 2018, 47: 217–223

    Article  Google Scholar 

  3. Younesian D, Alam M R. Multi-stable mechanisms for high-efficiency and broadband ocean wave energy harvesting. Appl Energy, 2017, 197: 292–302

    Article  Google Scholar 

  4. Wen Z, Guo H, Zi Y, et al. Harvesting broad frequency band blue energy by a triboelectric-electromagnetic hybrid nanogenerator. ACS Nano, 2016, 10: 6526–6534

    Article  Google Scholar 

  5. Maria Joseph Raj N P, Alluri N R, Vivekananthan V, et al. Sustainable yarn type-piezoelectric energy harvester as an eco-friendly, cost-effective battery-free breath sensor. Appl Energy, 2018, 228: 1767–1776

    Article  Google Scholar 

  6. Wang Y, Wu Y, Liu Q, et al. Origami triboelectric nanogenerator with double-helical structure for environmental energy harvesting. Energy, 2020, 212: 118462

    Article  Google Scholar 

  7. Ahmed A, Hassan I, Jiang T, et al. Design guidelines of triboelectric nanogenerator for water wave energy harvesters. Nanotechnology, 2017, 28: 185403

    Article  Google Scholar 

  8. Viet N V, Wang Q, Carpinteri A. Development of an ocean wave energy harvester with a built-in frequency conversion function. Int J Energy Res, 2018, 42: 684–695

    Article  Google Scholar 

  9. Zhang S L, Xu M, Zhang C, et al. Rationally designed sea snake structure based triboelectric nanogenerators for effectively and efficiently harvesting ocean wave energy with minimized water screening effect. Nano Energy, 2018, 48: 421–429

    Article  Google Scholar 

  10. Wu N, Wang Q, Xie X D. Ocean wave energy harvesting with a piezoelectric coupled buoy structure. Appl Ocean Res, 2015, 50: 110–118

    Article  Google Scholar 

  11. Mutsuda H, Tanaka Y, Patel R, et al. A painting type of flexible piezoelectric device for ocean energy harvesting. Appl Ocean Res, 2017, 68: 182–193

    Article  Google Scholar 

  12. Nabavi S F, Farshidianfar A, Afsharfard A. Novel piezoelectric-based ocean wave energy harvesting from offshore buoys. Appl Ocean Res, 2018, 76: 174–183

    Article  Google Scholar 

  13. Zhang Q, Liang Q, Nandakumar D K, et al. Shadow enhanced self-charging power system for wave and solar energy harvesting from the ocean. Nat Commun, 2021, 12: 616

    Article  Google Scholar 

  14. Xia K, Zhu Z, Fu J, et al. A triboelectric nanogenerator based on waste tea leaves and packaging bags for powering electronic office supplies and behavior monitoring. Nano Energy, 2019, 60: 61–71

    Article  Google Scholar 

  15. Maharjan P, Bhatta T, Salauddin Rasel M, et al. High-performance cycloid inspired wearable electromagnetic energy harvester for scavenging human motion energy. Appl Energy, 2019, 256: 113987

    Article  Google Scholar 

  16. Xue X B, Zhang Z X, Wu B, et al. Coil-levitated hybrid generator for mechanical energy harvesting and wireless temperature and vibration monitoring. Sci China Tech Sci, 2021, 64: 1325–1334

    Article  Google Scholar 

  17. Tao K, Yi H, Yang Y, et al. Origami-inspired electret-based triboelectric generator for biomechanical and ocean wave energy harvesting. Nano Energy, 2020, 67: 104197

    Article  Google Scholar 

  18. Liu H, Fu H, Sun L, et al. Hybrid energy harvesting technology: From materials, structural design, system integration to applications. Renew Sustain Energy Rev, 2021, 137: 110473

    Article  Google Scholar 

  19. Toyabur Rahman M, Sohel Rana S M, Salauddin M, et al. A highly miniaturized freestanding kinetic-impact-based non-resonant hybridized electromagnetic-triboelectric nanogenerator for human induced vibrations harvesting. Appl Energy, 2020, 279: 115799

    Article  Google Scholar 

  20. Hou C, Chen T, Li Y, et al. A rotational pendulum based electromagnetic/triboelectric hybrid-generator for ultra-low-frequency vibrations aiming at human motion and blue energy applications. Nano Energy, 2019, 63: 103871

    Article  Google Scholar 

  21. Fan F R, Tian Z Q, Lin Wang Z. Flexible triboelectric generator. Nano Energy, 2012, 1: 328–334

    Article  Google Scholar 

  22. Cao X, Jie Y, Wang N, et al. Triboelectric nanogenerators driven self-powered electrochemical processes for energy and environmental science. Adv Energy Mater, 2016, 6: 1600665

    Article  Google Scholar 

  23. Xu L, Jiang T, Lin P, et al. Coupled triboelectric nanogenerator networks for efficient water wave energy harvesting. ACS Nano, 2018, 12: 1849–1858

    Article  Google Scholar 

  24. Zhang H, Yang Y, Su Y, et al. Triboelectric nanogenerator for harvesting vibration energy in full space and as self-powered acceleration sensor. Adv Funct Mater, 2014, 24: 1401–1407

    Article  Google Scholar 

  25. Xu G P, Zheng Y B, Feng Y G, et al. Power supply for electronic devices. Sci China Tech Sci, 2021, 64: 2003–2011

    Article  Google Scholar 

  26. Rahman M T, Salauddin M, Maharjan P, et al. Natural wind-driven ultra-compact and highly efficient hybridized nanogenerator for self-sustained wireless environmental monitoring system. Nano Energy, 2019, 57: 256–268

    Article  Google Scholar 

  27. Fan X, He J, Mu J, et al. Triboelectric-electromagnetic hybrid nanogenerator driven by wind for self-powered wireless transmission in internet of things and self-powered wind speed sensor. Nano Energy, 2020, 68: 104319

    Article  Google Scholar 

  28. Wang H, Zhu Q, Ding Z, et al. A fully-packaged ship-shaped hybrid nanogenerator for blue energy harvesting toward seawater self-desalination and self-powered positioning. Nano Energy, 2019, 57: 616–624

    Article  Google Scholar 

  29. Wu Z Y, Guo H Y, Ding W B, et al. A hybridized triboelectric-electromagnetic water wave energy harvester based on a magnetic sphere. ACS Nano, 2019, 13: 2349–2356

    Google Scholar 

  30. Chen Y D, Cheng Y, Jie Y, et al. Energy harvesting and wireless power transmission by a hybridized electromagnetic-triboelectric nanogenerator. Energy Environ Sci, 2019, 12: 2678–2684

    Article  Google Scholar 

  31. Yang H, Wang M, Deng M, et al. A full-packaged rolling triboelectric-electromagnetic hybrid nanogenerator for energy harvesting and building up self-powered wireless systems. Nano Energy, 2019, 56: 300–306

    Article  Google Scholar 

  32. Chen J, Guo H, Liu G, et al. A fully-packaged and robust hybridized generator for harvesting vertical rotation energy in broad frequency band and building up self-powered wireless systems. Nano Energy, 2017, 33: 508–514

    Article  Google Scholar 

  33. Li Z, Li T, Yang Z, et al. Toward a 0.33 W piezoelectric and electromagnetic hybrid energy harvester: Design, experimental studies and self-powered applications. Appl Energy, 2019, 255: 113805

    Article  Google Scholar 

  34. Hou X, Zhu J, Qian J, et al. Stretchable triboelectric textile composed of wavy conductive-cloth PET and patterned stretchable electrode for harvesting multivariant human motion energy. ACS Appl Mater Interfaces, 2018, 10: 43661–43668

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, 030051, China

    Feng Xue, Liang Chen, ChunCheng Li, Jing Ren, JunBin Yu, XiaoJuan Hou, WenPing Geng, JiLiang Mu, Jian He & XiuJian Chou

Authors
  1. Feng Xue
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Liang Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. ChunCheng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jing Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. JunBin Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. XiaoJuan Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. WenPing Geng
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. JiLiang Mu
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Jian He
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. XiuJian Chou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jian He.

Additional information

Supporting Information

The supporting information is available online at tech.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

This work was supported by the National Key Research and Development Program of China (Grant Nos. 2019YFB2004802, 2019YFF0301802, and 2018YFF0300605), the National Natural Science Foundation of China (Grant Nos. 51975542, 51975541 and 62101513), the Applied Fundamental Research Program of Shanxi Province (Grant Nos. 201901D211281, 201801D121152 and 20210302124170), National Defense Fundamental Research Project, and Program for the Innovative Talents of Higher Education Institutions of Shanxi.

Electronic supplementary material

Supplementary material, approximately 16.5 MB.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xue, F., Chen, L., Li, C. et al. A static-dynamic energy harvester for a self-powered ocean environment monitoring application. Sci. China Technol. Sci. 65, 893–902 (2022). https://doi.org/10.1007/s11431-021-1974-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-021-1974-8

Keywords

Search

Navigation