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A Review on Mechanisms for Piezoelectric-Based Energy Harvesters

Author

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  • Hassan Elahi

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy
    These authors contributed equally to this work.)

  • Marco Eugeni

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy
    These authors contributed equally to this work.)

  • Paolo Gaudenzi

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy
    These authors contributed equally to this work.)

Abstract

From last few decades, piezoelectric materials have played a vital role as a mechanism of energy harvesting, as they have the tendency to absorb energy from the environment and transform it to electrical energy that can be used to drive electronic devices directly or indirectly. The power of electronic circuits has been cut down to nano or micro watts, which leads towards the development of self-designed piezoelectric transducers that can overcome power generation problems and can be self-powered. Moreover, piezoelectric energy harvesters (PEHs) can reduce the need for batteries, resulting in optimization of the weight of structures. These mechanisms are of great interest for many researchers, as piezoelectric transducers are capable of generating electric voltage in response to thermal, electrical, mechanical and electromagnetic input. In this review paper, Fluid Structure Interaction-based, human-based, and vibration-based energy harvesting mechanisms were studied. Moreover, qualitative and quantitative analysis of existing PEH mechanisms has been carried out.

Suggested Citation

  • Hassan Elahi & Marco Eugeni & Paolo Gaudenzi, 2018. "A Review on Mechanisms for Piezoelectric-Based Energy Harvesters," Energies, MDPI, vol. 11(7), pages 1-35, July.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1850-:d:158046
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    4. Hamlehdar, Maryam & Kasaeian, Alibakhsh & Safaei, Mohammad Reza, 2019. "Energy harvesting from fluid flow using piezoelectrics: A critical review," Renewable Energy, Elsevier, vol. 143(C), pages 1826-1838.
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    7. Xiaobiao Shan & Haigang Tian & Han Cao & Tao Xie, 2020. "Enhancing Performance of a Piezoelectric Energy Harvester System for Concurrent Flutter and Vortex-Induced Vibration," Energies, MDPI, vol. 13(12), pages 1-19, June.
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    9. Bouma, A. & Le, E. & Vasconcellos, R. & Abdelkefi, A., 2022. "Effective design and characterization of flutter-based piezoelectric energy harvesters with discontinuous nonlinearities," Energy, Elsevier, vol. 238(PA).
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    14. Iman Izadgoshasb & Yee Yan Lim & Ricardo Vasquez Padilla & Mohammadreza Sedighi & Jeremy Paul Novak, 2019. "Performance Enhancement of a Multiresonant Piezoelectric Energy Harvester for Low Frequency Vibrations," Energies, MDPI, vol. 12(14), pages 1-16, July.
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    19. Shao-En Chen & Ray-Yeng Yang & Zeng-Hui Qiu & Chia-Che Wu, 2021. "A Piezoelectric Wave Energy Harvester Using Plucking-Driven and Frequency Up-Conversion Mechanism," Energies, MDPI, vol. 14(24), pages 1-19, December.
    20. Haider Jaafar Chilabi & Hanim Salleh & Waleed Al-Ashtari & E. E. Supeni & Luqman Chuah Abdullah & Azizan B. As’arry & Khairil Anas Md Rezali & Mohammad Khairul Azwan, 2021. "Rotational Piezoelectric Energy Harvesting: A Comprehensive Review on Excitation Elements, Designs, and Performances," Energies, MDPI, vol. 14(11), pages 1-29, May.
    21. Jianfeng Hong & Fu Chen & Ming He & Sheng Wang & Wenxiang Chen & Mingjie Guan, 2019. "Study of a Low-Power-Consumption Piezoelectric Energy Harvesting Circuit Based on Synchronized Switching Technology," Energies, MDPI, vol. 12(16), pages 1-13, August.
    22. Damien Hoareau & Gurvan Jodin & Abdo-rahmane Anas Laaraibi & Jacques Prioux & Florence Razan, 2023. "Available Kinetic Energy Sources on the Human Body during Sports Activities: A Numerical Approach Based on Accelerometers for Cantilevered Piezoelectric Harvesters," Energies, MDPI, vol. 16(6), pages 1-20, March.
    23. Poblete, A. & Ruiz, R.O. & Jia, G., 2024. "Bayesian model class selection of nonlinear constitutive relationships for piezoelectric energy harvesters with small set of observations," Energy, Elsevier, vol. 301(C).

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