IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v307y2022ics0306261921015671.html
   My bibliography  Save this article

Optimization strategy of wind energy harvesting via triboelectric-electromagnetic flexible cooperation

Author

Listed:
  • Li, Xiang
  • Gao, Qi
  • Cao, Yuying
  • Yang, Yanfei
  • Liu, Shiming
  • Wang, Zhong Lin
  • Cheng, Tinghai

Abstract

As a favorable renewable energy source, wind energy has the advantages of large reserves and wide distribution. To harvest wind energy effectively, an optimization strategy of wind energy harvesting is proposed in this paper, which flexibly combines the complementary advantages of the triboelectric nanogenerator (TENG) and electromagnetic generator (EMG) in different energy harvesting environments. Specifically, in weak wind environments, the TENG operates independently to harvest energy. While, once the wind speed increases to the critical wind speed, the EMG starts and operates coordinately with the TENG, which will effectively increase the energy harvesting capacity of the wind energy harvester. Based on this optimization strategy, the flexible cooperation triboelectric-electromagnetic harvester (FC-TEH) is designed. The FC-TEH could flexibly adjust energy harvesting capability according to variants of wind speed and adapt to the instability of natural wind. Experiments demonstrate that at the critical wind speed of 6 m/s, the FC-TEH reaches the critical speed (108 rpm). At natural wind speeds of about 8 m/s, the FC-TEH can successfully power a Bluetooth thermometer with a rated power of 20 mW. The optimization strategy will provide important guidance and reference for wind energy harvesting.

Suggested Citation

  • Li, Xiang & Gao, Qi & Cao, Yuying & Yang, Yanfei & Liu, Shiming & Wang, Zhong Lin & Cheng, Tinghai, 2022. "Optimization strategy of wind energy harvesting via triboelectric-electromagnetic flexible cooperation," Applied Energy, Elsevier, vol. 307(C).
  • Handle: RePEc:eee:appene:v:307:y:2022:i:c:s0306261921015671
    DOI: 10.1016/j.apenergy.2021.118311
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921015671
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.118311?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. Haiyang Zou & Ying Zhang & Litong Guo & Peihong Wang & Xu He & Guozhang Dai & Haiwu Zheng & Chaoyu Chen & Aurelia Chi Wang & Cheng Xu & Zhong Lin Wang, 2019. "Quantifying the triboelectric series," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    2. Zhai, Cong & Chou, Xiujian & He, Jian & Song, Linlin & Zhang, Zengxing & Wen, Tao & Tian, Zhumei & Chen, Xi & Zhang, Wendong & Niu, Zhichuan & Xue, Chenyang, 2018. "An electrostatic discharge based needle-to-needle booster for dramatic performance enhancement of triboelectric nanogenerators," Applied Energy, Elsevier, vol. 231(C), pages 1346-1353.
    3. Liu, Huicong & Fu, Hailing & Sun, Lining & Lee, Chengkuo & Yeatman, Eric M., 2021. "Hybrid energy harvesting technology: From materials, structural design, system integration to applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    4. 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. Li, Xia & Xu, Li & Cai, Jingjing & Peng, Cheng & Bian, Xiaoyan, 2024. "Offshore wind turbine selection with multi-criteria decision-making techniques involving D numbers and squeeze adversarial interpretive structural modeling method," Applied Energy, Elsevier, vol. 368(C).
    2. Fang, Shitong & Chen, Keyu & Lai, Zhihui & Zhou, Shengxi & Liao, Wei-Hsin, 2023. "Analysis and experiment of auxetic centrifugal softening impact energy harvesting from ultra-low-frequency rotational excitations," Applied Energy, Elsevier, vol. 331(C).
    3. Song, Dongran & Yan, Jiaqi & Gao, Yang & Wang, Lei & Du, Xin & Xu, Zhiliang & Zhang, Zhihong & Yang, Jian & Dong, Mi & Chen, Yang, 2023. "Optimization of floating wind farm power collection system using a novel two-layer hybrid method," Applied Energy, Elsevier, vol. 348(C).
    4. Zhang, Tingsheng & Kong, Lingji & Zhu, Zhongyin & Wu, Xiaoping & Li, Hai & Zhang, Zutao & Yan, Jinyue, 2024. "An electromagnetic vibration energy harvesting system based on series coupling input mechanism for freight railroads," Applied Energy, Elsevier, vol. 353(PA).
    5. Masabi, Sayed Nahiyan & Fu, Hailing & Flint, James A. & Theodossiades, Stephanos, 2024. "A pendulum-based rotational energy harvester for self-powered monitoring of rotating systems in the era of industrial digitization," Applied Energy, Elsevier, vol. 365(C).
    6. Yu, Yang & Wu, Shibo & Yu, Jianxing & Xu, Ya & Song, Lin & Xu, Weipeng, 2022. "A hybrid multi-criteria decision-making framework for offshore wind turbine selection: A case study in China," Applied Energy, Elsevier, vol. 328(C).
    7. Zhao, Lin-Chuan & Zou, Hong-Xiang & Zhao, Ying-Jie & Wu, Zhi-Yuan & Liu, Feng-Rui & Wei, Ke-Xiang & Zhang, Wen-Ming, 2022. "Hybrid energy harvesting for self-powered rotor condition monitoring using maximal utilization strategy in structural space and operation process," Applied Energy, Elsevier, vol. 314(C).
    8. Zhu, Mingkang & Zhang, Jiacheng & Wang, Zhaohui & Yu, Xin & Zhang, Yuejun & Zhu, Jianyang & Wang, Zhong Lin & Cheng, Tinghai, 2022. "Double-blade structured triboelectric–electromagnetic hybrid generator with aerodynamic enhancement for breeze energy harvesting," Applied Energy, Elsevier, vol. 326(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. 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).
    2. 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).
    3. 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).
    4. Liu, Mengzhou & Zhang, Yuan & Fu, Hailing & Qin, Yong & Ding, Ao & Yeatman, Eric M., 2023. "A seesaw-inspired bistable energy harvester with adjustable potential wells for self-powered internet of train monitoring," Applied Energy, Elsevier, vol. 337(C).
    5. Yi Li & Yi Luo & Song Xiao & Cheng Zhang & Cheng Pan & Fuping Zeng & Zhaolun Cui & Bangdou Huang & Ju Tang & Tao Shao & Xiaoxing Zhang & Jiaqing Xiong & Zhong Lin Wang, 2024. "Visualization and standardized quantification of surface charge density for triboelectric materials," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. Xin Pan & Yixi Zhuang & Wei He & Cunjian Lin & Lefu Mei & Changjian Chen & Hao Xue & Zhigang Sun & Chunfeng Wang & Dengfeng Peng & Yanqing Zheng & Caofeng Pan & Lixin Wang & Rong-Jun Xie, 2024. "Quantifying the interfacial triboelectricity in inorganic-organic composite mechanoluminescent materials," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    7. Liu, Mingyi & Qian, Feng & Mi, Jia & Zuo, Lei, 2022. "Biomechanical energy harvesting for wearable and mobile devices: State-of-the-art and future directions," Applied Energy, Elsevier, vol. 321(C).
    8. Zehua Peng & Jihong Shi & Xiao Xiao & Ying Hong & Xuemu Li & Weiwei Zhang & Yongliang Cheng & Zuankai Wang & Wen Jung Li & Jun Chen & Michael K. H. Leung & Zhengbao Yang, 2022. "Self-charging electrostatic face masks leveraging triboelectrification for prolonged air filtration," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    9. Zhiwei Li & Yinghong Xu & Langyuan Wu & Jiaxin Cui & Hui Dou & Xiaogang Zhang, 2023. "Enabling giant thermopower by heterostructure engineering of hydrated vanadium pentoxide for zinc ion thermal charging cells," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    10. 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).
    11. Liu, Xinzhi & Qi, Nanjian & Dai, Keren & Yin, Yajiang & Zhao, Jiahao & Wang, Xiaofeng & You, Zheng, 2022. "Sponge Supercapacitor rule-based energy management strategy for wireless sensor nodes optimized by using dynamic programing algorithm," Energy, Elsevier, vol. 239(PE).
    12. Yikui Gao & Lixia He & Di Liu & Jiayue Zhang & Linglin Zhou & Zhong Lin Wang & Jie Wang, 2024. "Spontaneously established reverse electric field to enhance the performance of triboelectric nanogenerators via improving Coulombic efficiency," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    13. Jiayue Zhang & Yikui Gao & Di Liu & Jing-Shan Zhao & Jie Wang, 2023. "Discharge domains regulation and dynamic processes of direct-current triboelectric nanogenerator," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    14. Li, Yanhong & Guo, Ziting & Zhao, Zhihao & Gao, Yikui & Yang, Peiyuan & Qiao, Wenyan & Zhou, Linglin & Wang, Jie & Wang, Zhong Lin, 2023. "Multi-layered triboelectric nanogenerator incorporated with self-charge excitation for efficient water wave energy harvesting," Applied Energy, Elsevier, vol. 336(C).
    15. Huang, Xingbao, 2024. "Exploiting multi-stiffness combination inspired absorbers for simultaneous energy harvesting and vibration mitigation," Applied Energy, Elsevier, vol. 364(C).
    16. 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).
    17. Maria Joseph Raj, Nirmal Prashanth & Alluri, Nagamalleswara Rao & Vivekananthan, Venkateswaran & Chandrasekhar, Arunkumar & Khandelwal, Gaurav & Kim, Sang-Jae, 2018. "Sustainable yarn type-piezoelectric energy harvester as an eco-friendly, cost-effective battery-free breath sensor," Applied Energy, Elsevier, vol. 228(C), pages 1767-1776.
    18. Deokjae Heo & Jihoon Chung & Gunsub Shin & Minhyeong Seok & Chanhee Lee & Sangmin Lee, 2021. "Yo-Yo Inspired Triboelectric Nanogenerator," Energies, MDPI, vol. 14(7), pages 1-9, March.
    19. Yunlong Xu & Zhongda Sun & Zhiqing Bai & Hua Shen & Run Wen & Fumei Wang & Guangbiao Xu & Chengkuo Lee, 2024. "Bionic e-skin with precise multi-directional droplet sliding sensing for enhanced robotic perception," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    20. Neo, Rong Gen & Khoo, Boo Cheong, 2021. "Towards a larger scale energy harvesting from falling water droplets with an improved electrode configuration," Applied Energy, Elsevier, vol. 285(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:307:y:2022:i:c:s0306261921015671. 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.