Adhikari, S. and Banerjee, A. (2022) Enhanced low-frequency vibration energy harvesting with inertial amplifiers. Journal of Intelligent Material Systems and Structures, 33(6), pp. 822-838. (doi: 10.1177/1045389X211032281)
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Abstract
Piezoelectric vibration energy harvesters have demonstrated the potential for sustainable energy generation from diverse ambient sources in the context of low-powered micro-scale systems. However, challenges remain concerning harvesting more power from low-frequency input excitations and broadband random excitations. To address this, here we propose a purely mechanical approach by employing inertial amplifiers with cantilever piezoelectric vibration energy harvesters. The proposed mechanism can achieve inertial amplification amounting to orders of magnitude under certain conditions. Harmonic, as well as broadband random excitations, are considered. Two types of harvesting circuits, namely, without and with an inductor, have been employed. We explicitly demonstrate how different parameters describing the inertial amplifiers should be optimally tuned to maximise harvested power under different types of excitations and circuit configurations. It is possible to harvest five times more power at a 50% lower frequency when the ambient excitation is harmonic. Under random broadband ambient excitations, it is possible to harvest 10 times more power with optimally selected parameters.
Item Type: | Articles |
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Additional Information: | SA acknowledges the support of UK-India Education and Research Initiative through grant number UKIERI/ P1212. AB would like to acknowledge the research grant of Inspire Faculty Award of Department of Science and Technology, Ministry of Science and Technology, Government of India, grant number DST/INSPIRE/04/2018/ 000052 for supporting this research. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Adhikari, Professor Sondipon |
Authors: | Adhikari, S., and Banerjee, A. |
College/School: | College of Science and Engineering > School of Engineering > Infrastructure and Environment |
Journal Name: | Journal of Intelligent Material Systems and Structures |
Publisher: | SAGE Publications |
ISSN: | 1045-389X |
ISSN (Online): | 1530-8138 |
Published Online: | 11 August 2021 |
Copyright Holders: | Copyright © 2021 The Authors |
First Published: | First published in Journal of Intelligent Material Systems and Structures 33(6): 822-838 |
Publisher Policy: | Reproduced under a Creative Commons License |
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