IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i5p1641-d756174.html
   My bibliography  Save this article

Powering the WSN Node for Monitoring Rail Car Parameters, Using a Piezoelectric Energy Harvester

Author

Listed:
  • Bogdan Dziadak

    (Electrical Engineering Department, Warsaw University of Technology, 00-661 Warsaw, Poland)

  • Mariusz Kucharek

    (Electrical Engineering Department, Warsaw University of Technology, 00-661 Warsaw, Poland
    Łukasiewicz Research Network—Tele and Radio Research Institute, Ratuszowa 11 Street, 03-450 Warsaw, Poland)

  • Jacek Starzyński

    (Electrical Engineering Department, Warsaw University of Technology, 00-661 Warsaw, Poland)

Abstract

Monitoring of railroad wagons is important for logistical processes, but above all for safety. One of the key parameters to be monitored is the temperature of the axle box and the bearings in the bogie. The problem with monitoring these parameters is the harsh environment and lack of power supply. In our research, we present a power supply system for a WSN node monitoring the bogie parameters. Knowing the operating conditions, we built a power supply system using a piezoelectric energy harvester. The harvester consists of three piezoelectric elements placed on a double arm pendulum beam. The circuit was modeled in the Comsol Multiphysics environment and then built and tested in laboratory conditions. After confirming energy efficiency, the system was tested on a freight car bogie during an 8 h trip. At typical car vibration frequencies (4–10 Hz), the system is able to generate 73 uW. Combined with an energy buffer of 1000 mAh (3.7 V), it can power a WSN node (based on the nRF5340 chip) for 13 years of operation.

Suggested Citation

  • Bogdan Dziadak & Mariusz Kucharek & Jacek Starzyński, 2022. "Powering the WSN Node for Monitoring Rail Car Parameters, Using a Piezoelectric Energy Harvester," Energies, MDPI, vol. 15(5), pages 1-18, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1641-:d:756174
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/5/1641/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/5/1641/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jung, Inki & Shin, Youn-Hwan & Kim, Sangtae & Choi, Ji-young & Kang, Chong-Yun, 2017. "Flexible piezoelectric polymer-based energy harvesting system for roadway applications," Applied Energy, Elsevier, vol. 197(C), pages 222-229.
    2. Pan, Yu & Liu, Fengwei & Jiang, Ruijin & Tu, Zhiwen & Zuo, Lei, 2019. "Modeling and onboard test of an electromagnetic energy harvester for railway cars," Applied Energy, Elsevier, vol. 250(C), pages 568-581.
    3. 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)

    Citations

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


    Cited by:

    1. Bogdan Dziadak, 2023. "Hybrid Optical and Thermal Energy Conversion System to Power Internet of Things Nodes," Energies, MDPI, vol. 16(20), pages 1-19, October.
    2. 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.

    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, 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).
    2. 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).
    3. 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.
    4. 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).
    5. Wang, Zhixia & Du, Hongzhi & Wang, Wei & Zhang, Qichang & Gu, Fengshou & Ball, Andrew D. & Liu, Cheng & Jiao, Xuanbo & Qiu, Hongyun & Shi, Dawei, 2024. "A high performance contra-rotating energy harvester and its wireless sensing application toward green and maintain free vehicle monitoring," Applied Energy, Elsevier, vol. 356(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. Zhou, Xu & Wang, Kangda & Li, Siyu & Wang, Yadong & Sun, Daoyu & Wang, Longlong & He, Zhizhu & Tang, Wei & Liu, Huicong & Jin, Xiaoping & Li, Zhen, 2024. "An ultra-compact lightweight electromagnetic generator enhanced with Halbach magnet array and printed triphase windings," Applied Energy, Elsevier, vol. 353(PA).
    8. Liu, Weiqun & Qin, Gang & Zhu, Qiao & Hu, Guangdi, 2018. "Synchronous extraction circuit with self-adaptive peak-detection mechanical switches design for piezoelectric energy harvesting," Applied Energy, Elsevier, vol. 230(C), pages 1292-1303.
    9. 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).
    10. Zhao, Dong & Liu, Ying, 2020. "A prototype for light-electric harvester based on light sensitive liquid crystal elastomer cantilever," Energy, Elsevier, vol. 198(C).
    11. 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).
    12. 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.
    13. Hwang, Wonseop & Kim, Kyung-Bum & Cho, Jae Yong & Yang, Chan Ho & Kim, Jung Hun & Song, Gyeong Ju & Song, Yewon & Jeon, Deok Hwan & Ahn, Jung Hwan & Do Hong, Seong & Kim, Jihoon & Lee, Tae Hee & Choi,, 2019. "Watts-level road-compatible piezoelectric energy harvester for a self-powered temperature monitoring system on an actual roadway," Applied Energy, Elsevier, vol. 243(C), pages 313-320.
    14. Wang, Chaohui & Zhao, Jianxiong & Li, Qiang & Li, Yanwei, 2018. "Optimization design and experimental investigation of piezoelectric energy harvesting devices for pavement," Applied Energy, Elsevier, vol. 229(C), pages 18-30.
    15. Ledia Shehu & Jung Heum Yeon & Yooseob Song, 2024. "Piezoelectric Energy Harvesting for Civil Engineering Applications," Energies, MDPI, vol. 17(19), pages 1-34, October.
    16. Li, Zhongjie & Yang, Zhengbao & Naguib, Hani E., 2020. "Introducing revolute joints into piezoelectric energy harvesters," Energy, Elsevier, vol. 192(C).
    17. Wang, Hao & Jasim, Abbas & Chen, Xiaodan, 2018. "Energy harvesting technologies in roadway and bridge for different applications – A comprehensive review," Applied Energy, Elsevier, vol. 212(C), pages 1083-1094.
    18. Zhu, Hongjun & Tang, Tao & Zhou, Tongming & Cai, Mingjin & Gaidai, Oleg & Wang, Junlei, 2021. "High performance energy harvesting from flow-induced vibrations in trapezoidal oscillators," Energy, Elsevier, vol. 236(C).
    19. Yuan, Huazhi & Wang, Shuai & Wang, Chaohui & Song, Zhi & Li, Yanwei, 2022. "Design of piezoelectric device compatible with pavement considering traffic: Simulation, laboratory and on-site," Applied Energy, Elsevier, vol. 306(PB).
    20. 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).

    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:gam:jeners:v:15:y:2022:i:5:p:1641-:d:756174. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.