IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v365y2024ics030626192400583x.html
   My bibliography  Save this article

A pendulum-based rotational energy harvester for self-powered monitoring of rotating systems in the era of industrial digitization

Author

Listed:
  • Masabi, Sayed Nahiyan
  • Fu, Hailing
  • Flint, James A.
  • Theodossiades, Stephanos

Abstract

Wireless condition monitoring of rotating systems, including vehicle powertrains and wind turbines, is a key for continuously assessing the operational performance in the era of industrial digitization. However, one of their major challenges revolve around the dependence on power supply from batteries. Hence, this paper presents the concept, theoretical model, and experimental study of a pendulum-based energy harvester for high-speed rotational systems. The proposed design harvests energy from rotating shafts by using a suspended eccentric pendulum-based configuration and requires only one anchor point with the host to extract mechanical energy. A numerical model was established to study the dynamics and the electromechanical properties of the harvester. An experimental prototype was developed based on the key parameters determined from the numerical study and mounted on an electric motor-driven shaft for testing. The fabricated device was able to stably operate up to 250 rad/s input speed with an eccentric mass as low as 30 g where 104.5 mW RMS was measured through 450Ω resistive load. An analytical model is developed to outline the critical operating conditions and relationship between the design parameters. Finally, a self-powered wireless sensing system is established employing the harvester to measure temperature data near the operating environment.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:365:y:2024:i:c:s030626192400583x
    DOI: 10.1016/j.apenergy.2024.123200
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192400583X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123200?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. 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).
    2. Mingyuan Gao & Yunwu Li & Jun Lu & Yifeng Wang & Ping Wang & Li Wang, 2018. "Condition monitoring of urban rail transit by local energy harvesting," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    3. Zou, Hong-Xiang & Zhao, Lin-Chuan & Gao, Qiu-Hua & Zuo, Lei & Liu, Feng-Rui & Tan, Ting & Wei, Ke-Xiang & Zhang, Wen-Ming, 2019. "Mechanical modulations for enhancing energy harvesting: Principles, methods and applications," Applied Energy, Elsevier, vol. 255(C).
    4. Gunn, B. & Alevras, P. & Flint, J.A. & Fu, H. & Rothberg, S.J. & Theodossiades, S., 2021. "A self-tuned rotational vibration energy harvester for self-powered wireless sensing in powertrains," Applied Energy, Elsevier, vol. 302(C).
    5. Chen, Keyu & Gao, Qiang & Fang, Shitong & Zou, Donglin & Yang, Zhengbao & Liao, Wei-Hsin, 2021. "An auxetic nonlinear piezoelectric energy harvester for enhancing efficiency and bandwidth," Applied Energy, Elsevier, vol. 298(C).
    6. Abdelkareem, Mohamed A.A. & Zhang, Ran & Jing, Xingjian & Wang, Xu & Ali, Mohamed Kamal Ahmed, 2022. "Characterization and implementation of a double-sided arm-toothed indirect-drive rotary electromagnetic energy-harvesting shock absorber in a full semi-trailer truck suspension platform," Energy, Elsevier, vol. 239(PA).
    7. Miao, Gang & Fang, Shitong & Wang, Suo & Zhou, Shengxi, 2022. "A low-frequency rotational electromagnetic energy harvester using a magnetic plucking mechanism," Applied Energy, Elsevier, vol. 305(C).
    8. 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).
    9. Zhang, Liufeng & Zhang, Feibin & Qin, Zhaoye & Han, Qinkai & Wang, Tianyang & Chu, Fulei, 2022. "Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring," Energy, Elsevier, vol. 238(PB).
    10. Deng, Licheng & Jiang, Jian & Zhang, Dingli & Zhou, Lin & Fang, Yuming, 2021. "Design and modeling a frequency self-tuning vibration energy harvester for rotational applications," Energy, Elsevier, vol. 235(C).
    11. Yang, Wenxian & Court, Richard & Jiang, Jiesheng, 2013. "Wind turbine condition monitoring by the approach of SCADA data analysis," Renewable Energy, Elsevier, vol. 53(C), pages 365-376.
    12. Qiao, Guofu & Sun, Guodong & Li, Hui & Ou, Jinping, 2014. "Heterogeneous tiny energy: An appealing opportunity to power wireless sensor motes in a corrosive environment," Applied Energy, Elsevier, vol. 131(C), pages 87-96.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Zhang, Ying & Wang, Wei & Xie, Junxiao & Lei, Yaguo & Cao, Junyi & Xu, Ye & Bader, Sebastian & Bowen, Chris & Oelmann, Bengt, 2022. "Enhanced variable reluctance energy harvesting for self-powered monitoring," Applied Energy, Elsevier, vol. 321(C).
    3. 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).
    4. Zou, Hong-Xiang & Zhu, Quan-Wei & He, Jia-Yi & Zhao, Lin-Chuan & Wei, Ke-Xiang & Zhang, Wen-Ming & Du, Rong-Hua & Liu, Sheng, 2024. "Energy harvesting floor using sustained-release regulation mechanism for self-powered traffic management," Applied Energy, Elsevier, vol. 353(PA).
    5. 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).
    6. 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).
    7. Zou, Donglin & Liu, Gaoyu & Rao, Zhushi & Tan, Ting & Zhang, Wenming & Liao, Wei-Hsin, 2021. "Design of a multi-stable piezoelectric energy harvester with programmable equilibrium point configurations," Applied Energy, Elsevier, vol. 302(C).
    8. Zhang, Tingsheng & Wu, Xiaoping & Pan, Yajia & Luo, Dabing & Xu, Yongsheng & Zhang, Zutao & Yuan, Yanping & Yan, Jinyue, 2022. "Vibration energy harvesting system based on track energy-recycling technology for heavy-duty freight railroads," Applied Energy, Elsevier, vol. 323(C).
    9. Azam, Ali & Ahmed, Ammar & Kamran, Muhammad Sajid & Hai, Li & Zhang, Zutao & Ali, Asif, 2021. "Knowledge structuring for enhancing mechanical energy harvesting (MEH): An in-depth review from 2000 to 2020 using CiteSpace," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    10. Zhang, Bin & Zhou, Hanxiao & Zhao, Xiaolei & Gao, Jun & Zhou, Shengxi, 2023. "Design and experimental analysis of a piezoelectric energy harvester based on stacked piezoceramic for nonharmonic excitations," Energy, Elsevier, vol. 282(C).
    11. Qi, Lingfei & Song, Juhuang & Wang, Yuan & Yi, Minyi & Zhang, Zutao & Yan, Jinyue, 2024. "Mechanical motion rectification-based electromagnetic vibration energy harvesting technology: A review," Energy, Elsevier, vol. 289(C).
    12. Chen, Keyu & Fang, Shitong & Lai, Zhihui & Cao, Junyi & Liao, Wei-Hsin, 2024. "A plucking rotational energy harvester with tapered thickness and auxetic structures for increasing power output," Applied Energy, Elsevier, vol. 357(C).
    13. Tian, Haigang & Shan, Xiaobiao & Li, Xia & Wang, Junlei, 2023. "Enhanced airfoil-based flutter piezoelectric energy harvester via coupling magnetic force," Applied Energy, Elsevier, vol. 340(C).
    14. Miao, Gang & Fang, Shitong & Wang, Suo & Zhou, Shengxi, 2022. "A low-frequency rotational electromagnetic energy harvester using a magnetic plucking mechanism," Applied Energy, Elsevier, vol. 305(C).
    15. Fang, Shitong & Miao, Gang & Chen, Keyu & Xing, Juntong & Zhou, Shengxi & Yang, Zhichun & Liao, Wei-Hsin, 2022. "Broadband energy harvester for low-frequency rotations utilizing centrifugal softening piezoelectric beam array," Energy, Elsevier, vol. 241(C).
    16. 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).
    17. Khazaee, Majid & Huber, John E. & Rosendahl, Lasse & Rezania, Alireza, 2021. "The investigation of viscous and structural damping for piezoelectric energy harvesters using only time-domain voltage measurements," Applied Energy, Elsevier, vol. 285(C).
    18. Fanghong Zhang & Yuze Zhu & Chuanjiang Zhang & Peng Yu & Qingan Li, 2023. "Abnormality Detection Method for Wind Turbine Bearings Based on CNN-LSTM," Energies, MDPI, vol. 16(7), pages 1-11, April.
    19. Chen, Wanqiu & Qiu, Yingning & Feng, Yanhui & Li, Ye & Kusiak, Andrew, 2021. "Diagnosis of wind turbine faults with transfer learning algorithms," Renewable Energy, Elsevier, vol. 163(C), pages 2053-2067.
    20. Miguel A. Rodríguez-López & Luis M. López-González & Luis M. López-Ochoa & Jesús Las-Heras-Casas, 2018. "Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data," Energies, MDPI, vol. 11(4), pages 1-22, March.

    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:365:y:2024:i:c:s030626192400583x. 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.