Issue |
Int. J. Metrol. Qual. Eng.
Volume 14, 2023
|
|
---|---|---|
Article Number | 9 | |
Number of page(s) | 15 | |
DOI | https://doi.org/10.1051/ijmqe/2023004 | |
Published online | 14 July 2023 |
Short communication
First study on harvesting electromagnetic noise energy generated by the frequency converters
1
AEA Unity, CRTEn, Technopole of BorjCedria BP. 95, 2050 Hammam'Lif Tunisia
2
ECAM-EPMI, Cergy-Pontoise, France
3
Materials, Measurements and Applications Research Laboratory, Département de Génie Physique et Instrumentation, National Institute of Applied Sciences and Technology, INSAT, University of Carthage BP676, 1080 Tunis Cedex, Tunisia
* Corresponding author: med_haythem@hotmail.fr
Received:
24
September
2021
Accepted:
9
April
2023
This paper proposes a novel environmental energy harvesting process. The source of energy consists of the electromagnetic (EM) noise emitted by the frequency converter system (inverter) and the harvester is composed by a monopole antenna and a full rectifier circuit. The operation of the frequency converter using MOSFET and IGBT switchers produces parasite currents in high frequency (100 KHz to 30 MHz) which are the principal cause of radiated EM noise. We have demonstrated that we can convert this EM noise into useful electrical energy to power wireless sensor nodes (WSNs) and other electronic devices. Experimentally, the EM noise is produced when the system “frequency converter + charge” is in operation mode. Moreover, the harvester has produced an uninterrupted power of 40 mW measured in accredited ISO/IEC 17025 laboratory. Furthermore, we have presented the output power of our device stored in 1 µF capacitor with demonstration examples of loading charges. These results offer opportunities for self-powered WSNs and electronic devices on a very large area of industrial applications with less use of conventional batteries.
Key words: Frequency converter systems / EM noise harvesting energy / self-powered devices
© M.H. Raouadi et al., Published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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