IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v364y2024ics0306261924005439.html
   My bibliography  Save this article

Event-driven piezoelectric energy harvesting for railway field applications

Author

Listed:
  • Qu, Shuai
  • Ren, Yuhao
  • Hu, Guobiao
  • Ding, Wei
  • Dong, Liwei
  • Yang, Jizhong
  • Wu, Zaixin
  • Zhu, Shengyang
  • Yang, Yaowen
  • Zhai, Wanming

Abstract

Piezoelectric energy harvesters (PEHs) hold promises for revolutionizing railway structural health monitoring (SHM). However, the challenges of designing high-robust PEHs for handling complex and ever-shifting vibrations in practical railway scenarios remain formidable. Unlike conventional methods that align the fundamental frequency of the PEH with the dominant frequency of the vibration source, this study employs an event-driven enhancement method. This study commences by employing a high-fidelity dynamic model of the PEH and an advanced vehicle-track coupled dynamic model to evaluate energy harvesting efficiency across various railway scenarios. The vehicle-induced track vibrations are predicted across various train speeds, track structures, and track irregularities, considering 12 distinct vehicle-track conditions and totaling 3600 simulation datasets, each representing a specific event. We employ the particle swarm optimization (PSO) algorithm to identify optimal PEH designs for different events. To streamline this process, instead of offering one optimal solution for each event, we employ the K-means algorithm to cluster similar events. Subsequently, we choose the centroid design for each cluster as the representative solution for events within that cluster. This approach allows us to use a limited number of representative PEHs to effectively address most events across different clusters. Finally, we thoroughly examine and evaluate the dynamic responses of these representative designs to demonstrate their robust performance. This study explores PEH design optimization from a fresh perspective, bridging the gap between theoretical design and practical implementation in rail transportation systems.

Suggested Citation

  • Qu, Shuai & Ren, Yuhao & Hu, Guobiao & Ding, Wei & Dong, Liwei & Yang, Jizhong & Wu, Zaixin & Zhu, Shengyang & Yang, Yaowen & Zhai, Wanming, 2024. "Event-driven piezoelectric energy harvesting for railway field applications," Applied Energy, Elsevier, vol. 364(C).
  • Handle: RePEc:eee:appene:v:364:y:2024:i:c:s0306261924005439
    DOI: 10.1016/j.apenergy.2024.123160
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924005439
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.123160?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, Junlei & Geng, Linfeng & Ding, Lin & Zhu, Hongjun & Yurchenko, Daniil, 2020. "The state-of-the-art review on energy harvesting from flow-induced vibrations," Applied Energy, Elsevier, vol. 267(C).
    2. Yang, Fan & Gao, Mingyuan & Wang, Ping & Zuo, Jianyong & Dai, Jun & Cong, Jianli, 2021. "Efficient piezoelectric harvester for random broadband vibration of rail," Energy, Elsevier, vol. 218(C).
    3. 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).
    4. Dong, Liwei & Zuo, Jianyong & Wang, Tianpeng & Xue, Wenbin & Wang, Ping & Li, Jun & Yang, Fan, 2022. "Enhanced piezoelectric harvester for track vibration based on tunable broadband resonant methodology," Energy, Elsevier, vol. 254(PA).
    5. Li, Meng & Jing, Xingjian, 2019. "Novel tunable broadband piezoelectric harvesters for ultralow-frequency bridge vibration energy harvesting," Applied Energy, Elsevier, vol. 255(C).
    6. Zhao, Liya & Yang, Yaowen, 2018. "An impact-based broadband aeroelastic energy harvester for concurrent wind and base vibration energy harvesting," Applied Energy, Elsevier, vol. 212(C), pages 233-243.
    7. Tri Nguyen, Hieu & Genov, Dentcho A. & Bardaweel, Hamzeh, 2020. "Vibration energy harvesting using magnetic spring based nonlinear oscillators: Design strategies and insights," Applied Energy, Elsevier, vol. 269(C).
    8. Wei, Chongfeng & Jing, Xingjian, 2017. "A comprehensive review on vibration energy harvesting: Modelling and realization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1-18.
    9. Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yan, Jinyue, 2021. "Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review," Applied Energy, Elsevier, vol. 286(C).
    10. 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).
    11. Yuan, Weichang & Frey, H. Christopher, 2020. "Potential for metro rail energy savings and emissions reduction via eco-driving," Applied Energy, Elsevier, vol. 268(C).
    12. Chen, Shun & Zhao, Liya, 2023. "A quasi-zero stiffness two degree-of-freedom nonlinear galloping oscillator for ultra-low wind speed aeroelastic energy harvesting," Applied Energy, Elsevier, vol. 331(C).
    13. 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).
    14. Kuang, Yang & Chew, Zheng Jun & Ruan, Tingwen & Lane, Tim & Allen, Ben & Nayar, Bimal & Zhu, Meiling, 2021. "Magnetic field energy harvesting from the traction return current in rail tracks," Applied Energy, Elsevier, vol. 292(C).
    15. 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).
    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. Zuo, Jianyong & Dong, Liwei & Yang, Fan & Guo, Ziheng & Wang, Tianpeng & Zuo, Lei, 2023. "Energy harvesting solutions for railway transportation: A comprehensive review," Renewable Energy, Elsevier, vol. 202(C), pages 56-87.
    2. 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).
    3. 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).
    4. Dong, Liwei & Zuo, Jianyong & Wang, Tianpeng & Xue, Wenbin & Wang, Ping & Li, Jun & Yang, Fan, 2022. "Enhanced piezoelectric harvester for track vibration based on tunable broadband resonant methodology," Energy, Elsevier, vol. 254(PA).
    5. 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).
    6. 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).
    7. 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).
    8. Zhang, Duo & Zhou, Fang-Ru & Tang, Yin-Ying & Tao, Zi-Yu & Peng, Qi-Yuan, 2023. "Optimization of the loading plan for a railway wagon from the perspectives of running safety and energy conservation," Energy, Elsevier, vol. 280(C).
    9. David Omooria Masara & Hassan El Gamal & Ossama Mokhiamar, 2021. "Split Cantilever Multi-Resonant Piezoelectric Energy Harvester for Low-Frequency Application," Energies, MDPI, vol. 14(16), pages 1-15, August.
    10. Fang, Zheng & Tan, Xing & Liu, Genshuo & Zhou, Zijie & Pan, Yajia & Ahmed, Ammar & Zhang, Zutao, 2022. "A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains," Applied Energy, Elsevier, vol. 318(C).
    11. 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).
    12. Wang, Shuyun & Yang, Zemeng & Kan, Junwu & Chen, Song & Chai, Chaohui & Zhang, Zhonghua, 2021. "Design and characterization of an amplitude-limiting rotational piezoelectric energy harvester excited by a radially dragged magnetic force," Renewable Energy, Elsevier, vol. 177(C), pages 1382-1393.
    13. Sani, Godwin & Balaram, Bipin & Kudra, Grzegorz & Awrejcewicz, Jan, 2024. "Energy harvesting from friction-induced vibrations in vehicle braking systems in the presence of rotary unbalances," Energy, Elsevier, vol. 289(C).
    14. Wang, Yifeng & Li, Shoutai & Gao, Mingyuan & Ouyang, Huajiang & He, Qing & Wang, Ping, 2021. "Analysis, design and testing of a rolling magnet harvester with diametrical magnetization for train vibration," Applied Energy, Elsevier, vol. 300(C).
    15. Zhang, Duo & Tang, Yin-Ying & Peng, Qi-Yuan, 2023. "A novel approach for decreasing driving energy consumption during coasting and cruise for the railway vehicle," Energy, Elsevier, vol. 263(PA).
    16. Fan, Chengliang & Li, Hai & Zhang, Zutao & Pan, Yajia & Wu, Xiaoping & Ahmed, Ammar, 2023. "An H-shaped coupler energy harvester for application in heavy railways," Energy, Elsevier, vol. 270(C).
    17. Carneiro, Pedro & Soares dos Santos, Marco P. & Rodrigues, André & Ferreira, Jorge A.F. & Simões, José A.O. & Marques, A. Torres & Kholkin, Andrei L., 2020. "Electromagnetic energy harvesting using magnetic levitation architectures: A review," Applied Energy, Elsevier, vol. 260(C).
    18. Silva-Leon, Jorge & Cioncolini, Andrea & Nabawy, Mostafa R.A. & Revell, Alistair & Kennaugh, Andrew, 2019. "Simultaneous wind and solar energy harvesting with inverted flags," Applied Energy, Elsevier, vol. 239(C), pages 846-858.
    19. Zhang, L.B. & Dai, H.L. & Abdelkefi, A. & Lin, S.X. & Wang, L., 2019. "Theoretical modeling, wind tunnel measurements, and realistic environment testing of galloping-based electromagnetic energy harvesters," Applied Energy, Elsevier, vol. 254(C).
    20. Li, Ningyu & Park, Hongrae & Sun, Hai & Bernitsas, Michael M., 2022. "Hydrokinetic energy conversion using flow induced oscillations of single-cylinder with large passive turbulence control," Applied Energy, Elsevier, vol. 308(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:364:y:2024:i:c:s0306261924005439. 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.