IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v221y2024ics0960148123016579.html
   My bibliography  Save this article

High-performance piezoelectric energy harvesting system with anti-interference capability for smart grid monitoring

Author

Listed:
  • Gu, Shanghao
  • Xu, Weihan
  • Xi, Kunling
  • Luo, Anxin
  • Fan, Kangqi
  • Wang, Fei

Abstract

This paper presents a piezoelectric energy harvesting device with anti-interference capability. The device utilizes magnetic coupling between the magnet at the tip of the piezoelectric cantilever and the alternating magnetic field surrounding power lines to efficiently harvest energy. Three piezoelectric cantilever structures are designed to optimize energy harvesting efficiency and space utilization. The impact of magnet interaction on the energy harvesting performance is investigated through theoretical analysis and experiments. The results demonstrate a decrease in the natural frequency of each piezoelectric cantilever due to magnet interaction. Frequency compensation techniques are applied to improve the overall output of the device. The anti-interference capability of the harvester is thoroughly evaluated, showing stable output even under random acceleration and the ability to withstand external interference. Additionally, the device successfully powers a wireless temperature and humidity sensor, validating its potential for self-powered wireless sensing nodes in grid monitoring systems.

Suggested Citation

  • Gu, Shanghao & Xu, Weihan & Xi, Kunling & Luo, Anxin & Fan, Kangqi & Wang, Fei, 2024. "High-performance piezoelectric energy harvesting system with anti-interference capability for smart grid monitoring," Renewable Energy, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:renene:v:221:y:2024:i:c:s0960148123016579
    DOI: 10.1016/j.renene.2023.119742
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123016579
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119742?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. Kumar, Ajeet & Park, Sung Hoon & Patil, Deepak Rajaram & Hwang, Geon-Tae & Ryu, Jungho, 2022. "Effect of aspect ratio of piezoelectric constituents on the energy harvesting performance of magneto-mechano-electric generators," Energy, Elsevier, vol. 239(PB).
    3. Li, Zhongjie & Zhao, Li & Wang, Junlei & Yang, Zhengbao & Peng, Yan & Xie, Shaorong & Ding, Jiheng, 2023. "Piezoelectric energy harvesting from extremely low-frequency vibrations via gravity induced self-excited resonance," Renewable Energy, Elsevier, vol. 204(C), pages 546-555.
    4. Luo, Anxin & Zhang, Yulong & Dai, Xiangtian & Wang, Yifan & Xu, Weihan & Lu, Yan & Wang, Min & Fan, Kangqi & Wang, Fei, 2020. "An inertial rotary energy harvester for vibrations at ultra-low frequency with high energy conversion efficiency," Applied Energy, Elsevier, vol. 279(C).
    5. Jason J. Yoo & Gabkyung Seo & Matthew R. Chua & Tae Gwan Park & Yongli Lu & Fabian Rotermund & Young-Ki Kim & Chan Su Moon & Nam Joong Jeon & Juan-Pablo Correa-Baena & Vladimir Bulović & Seong Sik Shi, 2021. "Efficient perovskite solar cells via improved carrier management," Nature, Nature, vol. 590(7847), pages 587-593, February.
    6. Miraglia, Marco & Romano, Donato & Camboni, Domenico & Inglese, Francesco & Oddo, Calogero Maria & Stefanini, Cesare, 2023. "Mechatronics-enabled harvesting of polarized wind kinetic energy through novel bio-mimetic swaying devices," Renewable Energy, Elsevier, vol. 211(C), pages 743-760.
    7. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions," Renewable Energy, Elsevier, vol. 167(C), pages 99-115.
    8. Shi, Ge & Chang, Jian & Xia, Yinshui & Tong, Dike & Jia, Shengyao & Li, Qing & Wang, Xiudeng & Xia, Huakang & Ye, Yidie, 2023. "A wearable collaborative energy harvester combination of frequency-up conversion vibration, ambient light and thermal energy," Renewable Energy, Elsevier, vol. 202(C), pages 513-524.
    9. Gu, Mengfan & Song, Baowei & Zhang, Baoshou & Mao, Zhaoyong & Tian, Wenlong, 2020. "The effects of submergence depth on Vortex-Induced Vibration (VIV) and energy harvesting of a circular cylinder," Renewable Energy, Elsevier, vol. 151(C), pages 931-945.
    10. Pelay, Ugo & Luo, Lingai & Fan, Yilin & Stitou, Driss & Rood, Mark, 2017. "Thermal energy storage systems for concentrated solar power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 82-100.
    11. Mustapa, M.A. & Yaakob, O.B. & Ahmed, Yasser M. & Rheem, Chang-Kyu & Koh, K.K. & Adnan, Faizul Amri, 2017. "Wave energy device and breakwater integration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 43-58.
    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. Tamimi, V. & Esfehani, M.J. & Zeinoddini, M. & Seif, M.S. & Poncet, S., 2023. "Hydroelastic response and electromagnetic energy harvesting of square oscillators: Effects of free and fixed square wakes," Energy, Elsevier, vol. 263(PE).
    2. Zhang, Baoshou & Li, Boyang & Fu, Song & Ding, Wenjun & Mao, Zhaoyong, 2022. "Experimental investigation of the effect of high damping on the VIV energy converter near the free surface," Energy, Elsevier, vol. 244(PA).
    3. Fan, Jinyang & Liu, Wei & Jiang, Deyi & Chen, Junchao & Ngaha Tiedeu, William & Chen, Jie & JJK, Deaman, 2018. "Thermodynamic and applicability analysis of a hybrid CAES system using abandoned coal mine in China," Energy, Elsevier, vol. 157(C), pages 31-44.
    4. Guo, Junfei & Liu, Zhan & Du, Zhao & Yu, Jiabang & Yang, Xiaohu & Yan, Jinyue, 2021. "Effect of fin-metal foam structure on thermal energy storage: An experimental study," Renewable Energy, Elsevier, vol. 172(C), pages 57-70.
    5. Hu, Nan & Li, Zi-Rui & Xu, Zhe-Wen & Fan, Li-Wu, 2022. "Rapid charging for latent heat thermal energy storage: A state-of-the-art review of close-contact melting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    6. Chen, Jing & Wen, Hongjie & Wang, Yongxue & Ren, Bing, 2020. "Experimental investigation of an annular sector OWC device incorporated into a dual cylindrical caisson breakwater," Energy, Elsevier, vol. 211(C).
    7. Sun, Hongjun & Yang, Zhen & Li, Jinxia & Ding, Hongbing & Lv, Pengfei, 2024. "Performance evaluation and optimal design for passive turbulence control-based hydrokinetic energy harvester using EWM-based TOPSIS," Energy, Elsevier, vol. 298(C).
    8. Cheng, Yong & Song, Fukai & Fu, Lei & Dai, Saishuai & Zhiming Yuan, & Incecik, Atilla, 2024. "Experimental investigation of a dual-pontoon WEC-type breakwater with a hydraulic-pneumatic complementary power take-off system," Energy, Elsevier, vol. 286(C).
    9. Muhammad Suleman Malik & Naveed Iftikhar & Abdul Wadood & Muhammad Omer Khan & Muhammad Usman Asghar & Shahbaz Khan & Tahir Khurshaid & Ki-Chai Kim & Zabdur Rehman & S. Tauqeer ul Islam Rizvi, 2020. "Design and Fabrication of Solar Thermal Energy Storage System Using Potash Alum as a PCM," Energies, MDPI, vol. 13(23), pages 1-16, November.
    10. Jahangir, Mohammad Hossein & Hosseini, Seyed Sina & Mehrpooya, Mehdi, 2018. "A detailed theoretical modeling and parametric investigation of potential power in heaving buoys," Energy, Elsevier, vol. 154(C), pages 201-209.
    11. Kaewnern, Hathaipat & Wangkumharn, Sirikul & Deeyaonarn, Wongsathon & Yousaf, Abaid Ullah & Kongbuamai, Nattapan, 2023. "Investigating the role of research development and renewable energy on human development: An insight from the top ten human development index countries," Energy, Elsevier, vol. 262(PB).
    12. Delise, T. & Tizzoni, A.C. & Menale, C. & Telling, M.T.F. & Bubbico, R. & Crescenzi, T. & Corsaro, N. & Sau, S. & Licoccia, S., 2020. "Technical and economic analysis of a CSP plant presenting a low freezing ternary mixture as storage and transfer fluid," Applied Energy, Elsevier, vol. 265(C).
    13. Alva, Guruprasad & Lin, Yaxue & Fang, Guiyin, 2018. "An overview of thermal energy storage systems," Energy, Elsevier, vol. 144(C), pages 341-378.
    14. Peng, Wei & Zhang, Yingnan & Zou, Qingping & Zhang, Jisheng & Li, Haoran, 2024. "Effect of varying PTO on a triple floater wave energy converter-breakwater hybrid system: An experimental study," Renewable Energy, Elsevier, vol. 224(C).
    15. Mostafavi Tehrani, S. Saeed & Shoraka, Yashar & Nithyanandam, Karthik & Taylor, Robert A., 2019. "Shell-and-tube or packed bed thermal energy storage systems integrated with a concentrated solar power: A techno-economic comparison of sensible and latent heat systems," Applied Energy, Elsevier, vol. 238(C), pages 887-910.
    16. Yu, Tongshun & Chen, Xingyu & Tang, Yuying & Wang, Junrong & Wang, Yuqiao & Huang, Shuting, 2023. "Numerical modelling of wave run-up heights and loads on multi-degree-of-freedom buoy wave energy converters," Applied Energy, Elsevier, vol. 344(C).
    17. M. M. Hasan & Shakhawat Hossain & M. Mofijur & Zobaidul Kabir & Irfan Anjum Badruddin & T. M. Yunus Khan & Esam Jassim, 2023. "Harnessing Solar Power: A Review of Photovoltaic Innovations, Solar Thermal Systems, and the Dawn of Energy Storage Solutions," Energies, MDPI, vol. 16(18), pages 1-30, September.
    18. Bao, Jian & Yu, Dingyong, 2024. "Hydrodynamic performance optimization of a cost-effective WEC-type floating breakwater with half-airfoil bottom," Renewable Energy, Elsevier, vol. 226(C).
    19. Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    20. Fernández, Angel G. & Gomez-Vidal, Judith & Oró, Eduard & Kruizenga, Alan & Solé, Aran & Cabeza, Luisa F., 2019. "Mainstreaming commercial CSP systems: A technology review," Renewable Energy, Elsevier, vol. 140(C), pages 152-176.

    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:renene:v:221:y:2024:i:c:s0960148123016579. 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.journals.elsevier.com/renewable-energy .

    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.