IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v306y2022ipbs0306261921013325.html
   My bibliography  Save this article

Triboelectric energy harvesting using an origami-inspired structure

Author

Listed:
  • Hu, Guobiao
  • Zhao, Chaoyang
  • Yang, Yaowen
  • Li, Xin
  • Liang, Junrui

Abstract

In this work, the design, fabrication and test of a novel Origami-inspired triboelectric nanogenerator (TENG) are presented. The excellent performance of the proposed Origami-TENG is attributed to its stacked architecture and, thereby, the enlarged effective contact area. The mechanism of effective area enlargement is explained through mathematical proof. The strips used to fabricate the Origami structure are engineered with three layers. For one of the three-layered strips, the top and bottom layers are triboelectric materials with strong negative charge affinities. The middle layer is made of conductive material to constitute the electrode for collecting and guiding the charges induced on the surfaces of the triboelectric materials. The other three-layered conductive strip plays the role of the electrode with a middle polymer layer to provide high flexibility. The performance improvement is validated by the experimental results. Under a periodic tap excitation, the root-mean-square voltage of the proposed Origami-TENG is much larger than that of a conventional counterpart. Moreover, it has been found that by increasing the tapping speed and force, the voltage output from the proposed Origami-TENG can be increased. According to evaluation, the proposed Origami-TENG can produce a power output of around 200 μW. In two application tests, the proposed Origami-TENG can easily light up 28 LEDs and generate sufficient energy in about 40 s to power an electronic device - ViPSN, i.e., a programmable Internet-of-Things sensor node.

Suggested Citation

  • Hu, Guobiao & Zhao, Chaoyang & Yang, Yaowen & Li, Xin & Liang, Junrui, 2022. "Triboelectric energy harvesting using an origami-inspired structure," Applied Energy, Elsevier, vol. 306(PB).
  • Handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921013325
    DOI: 10.1016/j.apenergy.2021.118037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921013325
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.118037?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Ying & Wu, Yesheng & Liu, Qi & Wang, Xiaodong & Cao, Jie & Cheng, Guanggui & Zhang, Zhongqiang & Ding, Jianning & Li, Kai, 2020. "Origami triboelectric nanogenerator with double-helical structure for environmental energy harvesting," Energy, Elsevier, vol. 212(C).
    2. Rasel, Mohammad Sala Uddin & Park, Jae-Yeong, 2017. "A sandpaper assisted micro-structured polydimethylsiloxane fabrication for human skin based triboelectric energy harvesting application," Applied Energy, Elsevier, vol. 206(C), pages 150-158.
    3. Zhou, Shengxi & Cao, Junyi & Inman, Daniel J. & Lin, Jing & Liu, Shengsheng & Wang, Zezhou, 2014. "Broadband tristable energy harvester: Modeling and experiment verification," Applied Energy, Elsevier, vol. 133(C), pages 33-39.
    4. Shaikh, Faisal Karim & Zeadally, Sherali, 2016. "Energy harvesting in wireless sensor networks: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1041-1054.
    5. Jie Wang & Changsheng Wu & Yejing Dai & Zhihao Zhao & Aurelia Wang & Tiejun Zhang & Zhong Lin Wang, 2017. "Achieving ultrahigh triboelectric charge density for efficient energy harvesting," Nature Communications, Nature, vol. 8(1), pages 1-8, December.
    6. Toyabur Rahman, M. & Sohel Rana, SM & Salauddin, Md. & Maharjan, Pukar & Bhatta, Trilochan & Kim, Hyunsik & Cho, Hyunok & Park, Jae Yeong, 2020. "A highly miniaturized freestanding kinetic-impact-based non-resonant hybridized electromagnetic-triboelectric nanogenerator for human induced vibrations harvesting," Applied Energy, Elsevier, vol. 279(C).
    7. Zhao, Chaoyang & Yang, Yaowen & Upadrashta, Deepesh & Zhao, Liya, 2021. "Design, modeling and experimental validation of a low-frequency cantilever triboelectric energy harvester," Energy, Elsevier, vol. 214(C).
    8. Khandelwal, Gaurav & Chandrasekhar, Arunkumar & Alluri, Nagamalleswara Rao & Vivekananthan, Venkateswaran & Maria Joseph Raj, Nirmal Prashanth & Kim, Sang-Jae, 2018. "Trash to energy: A facile, robust and cheap approach for mitigating environment pollutant using household triboelectric nanogenerator," Applied Energy, Elsevier, vol. 219(C), pages 338-349.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao, Chaoyang & Hu, Guobiao & Li, Xin & Liu, Zicheng & Yuan, Weifeng & Yang, Yaowen, 2023. "Wide-bandwidth triboelectric energy harvester combining impact nonlinearity and multi-resonance method," Applied Energy, Elsevier, vol. 348(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Yulong & Wang, Tianyang & Luo, Anxin & Hu, Yushen & Li, Xinxin & Wang, Fei, 2018. "Micro electrostatic energy harvester with both broad bandwidth and high normalized power density," Applied Energy, Elsevier, vol. 212(C), pages 362-371.
    2. Xu, Pengcheng & Shen, Hui & Li, Jing & Zhang, Chun & Guan, Dong, 2023. "Power bonding diagram model and parameter analysis of contact-separation mode triboelectric nanogenerator," Energy, Elsevier, vol. 279(C).
    3. Kınas, Zeynep & Karabiber, Abdulkerim & Yar, Adem & Ozen, Abdurrahman & Ozel, Faruk & Ersöz, Mustafa & Okbaz, Abdulkerim, 2022. "High-performance triboelectric nanogenerator based on carbon nanomaterials functionalized polyacrylonitrile nanofibers," Energy, Elsevier, vol. 239(PD).
    4. Li, Zhongjie & Yang, Zhengbao & Naguib, Hani E., 2020. "Introducing revolute joints into piezoelectric energy harvesters," Energy, Elsevier, vol. 192(C).
    5. Wang, Zhemin & Du, Yu & Li, Tianrun & Yan, Zhimiao & Tan, Ting, 2021. "A flute-inspired broadband piezoelectric vibration energy harvesting device with mechanical intelligent design," Applied Energy, Elsevier, vol. 303(C).
    6. Wang, Chen & Lai, Siu-Kai & Wang, Jia-Mei & Feng, Jing-Jing & Ni, Yi-Qing, 2021. "An ultra-low-frequency, broadband and multi-stable tri-hybrid energy harvester for enabling the next-generation sustainable power," Applied Energy, Elsevier, vol. 291(C).
    7. Li, Zhongjie & Jiang, Xiaomeng & Yin, Peilun & Tang, Lihua & Wu, Hao & Peng, Yan & Luo, Jun & Xie, Shaorong & Pu, Huayan & Wang, Daifeng, 2021. "Towards self-powered technique in underwater robots via a high-efficiency electromagnetic transducer with circularly abrupt magnetic flux density change," Applied Energy, Elsevier, vol. 302(C).
    8. Han, Minglei & Yang, Xu & Wang, Dong F. & Jiang, Lei & Song, Wei & Ono, Takahito, 2022. "A mosquito-inspired self-adaptive energy harvester for multi-directional vibrations," Applied Energy, Elsevier, vol. 315(C).
    9. Han, Jae Yeon & Singh, Huidrom Hemojit & Won, Sukyoung & Kong, Dae Sol & Hu, Ying Chieh & Ko, Young Joon & Lee, Kyu-Tae & Wie, Jeong Jae & Jung, Jong Hoon, 2022. "Highly durable direct-current power generation in polarity-controlled and soft-triggered rotational triboelectric nanogenerator," Applied Energy, Elsevier, vol. 314(C).
    10. Dudem, Bhaskar & Kim, Dong Hyun & Bharat, L. Krishna & Yu, Jae Su, 2018. "Highly-flexible piezoelectric nanogenerators with silver nanowires and barium titanate embedded composite films for mechanical energy harvesting," Applied Energy, Elsevier, vol. 230(C), pages 865-874.
    11. Zhao, Chaoyang & Hu, Guobiao & Li, Xin & Liu, Zicheng & Yuan, Weifeng & Yang, Yaowen, 2023. "Wide-bandwidth triboelectric energy harvester combining impact nonlinearity and multi-resonance method," Applied Energy, Elsevier, vol. 348(C).
    12. Zou, Donglin & Liu, Gaoyu & Rao, Zhushi & Cao, Junyi & Liao, Wei-Hsin, 2022. "Design of a high-performance piecewise bi-stable piezoelectric energy harvester," Energy, Elsevier, vol. 241(C).
    13. Yar, Adem, 2021. "High performance of multi-layered triboelectric nanogenerators for mechanical energy harvesting," Energy, Elsevier, vol. 222(C).
    14. Ebrahimian, Fariba & Kabirian, Zohre & Younesian, Davood & Eghbali, Pezhman, 2021. "Auxetic clamped-clamped resonators for high-efficiency vibration energy harvesting at low-frequency excitation," Applied Energy, Elsevier, vol. 295(C).
    15. Kim, Jae Woo & Salauddin, Md & Cho, Hyunok & Rasel, M. Salauddin & Park, Jae Yeong, 2019. "Electromagnetic energy harvester based on a finger trigger rotational gear module and an array of disc Halbach magnets," Applied Energy, Elsevier, vol. 250(C), pages 776-785.
    16. Helseth, L.E., 2021. "Harvesting energy from light and water droplets by covering photovoltaic cells with transparent polymers," Applied Energy, Elsevier, vol. 300(C).
    17. Hu, Yanqiang & Wang, Xiaoli & Qin, Yechen & Li, Zhihao & Wang, Chenfei & Wu, Heng, 2022. "A robust hybrid generator for harvesting vehicle suspension vibration energy from random road excitation," Applied Energy, Elsevier, vol. 309(C).
    18. Li, Xiang & Cao, Yuying & Yu, Xin & Xu, Yuhong & Yang, Yanfei & Liu, Shiming & Cheng, Tinghai & Wang, Zhong Lin, 2022. "Breeze-driven triboelectric nanogenerator for wind energy harvesting and application in smart agriculture," Applied Energy, Elsevier, vol. 306(PA).
    19. Hu, Gang & Tse, K.T. & Wei, Minghai & Naseer, R. & Abdelkefi, A. & Kwok, K.C.S., 2018. "Experimental investigation on the efficiency of circular cylinder-based wind energy harvester with different rod-shaped attachments," Applied Energy, Elsevier, vol. 226(C), pages 682-689.
    20. Gao, Mingyuan & Cong, Jianli & Xiao, Jieling & He, Qing & Li, Shoutai & Wang, Yuan & Yao, Ye & Chen, Rong & Wang, Ping, 2020. "Dynamic modeling and experimental investigation of self-powered sensor nodes for freight rail transport," Applied Energy, Elsevier, vol. 257(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921013325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.