Optimisation of a forced multi-beam piezoelectric energy harvester
Optimisation of a forced multi-beam piezoelectric energy harvester
A high-power multi-beam piezoelectric energy harvesting device is designed to meet the demands of the emerging technologies in Body Sensors Networks (BSNs), Wireless Sensors Networks (WSNs), the Internet of Things (IoT) and the Industrial Internet of Things (IIoTs). The proposed device utilises a plucking mechanism to excite the beams, organised in a comb-like structure. The harvester is presented in different length configurations and its performance is optimised to deliver the highest power under a given set of parameter values, constraints, and excitation characteristics. The unique feature of the device is that it can be tuned to any given frequency, although it demonstrates its superior performance in the frequency range of 2–50 Hz, delivering hundreds of mW. The device optimisation is conducted using a harmonic excitation, a harmonic excitation with random phase modulations, experimental vibration data collected using an internal combustion engine, and numerical data from simulations of out-of-plane oscillations of wind turbine blades. The paper proposes solutions to a number of challenges specific for multi-beam structures that have never been addressed before. It is demonstrated for the first time that the proposed harvester is able to meet the demands of relevant sensing applications.
Frequency-up conversion, High-power energy harvester, Multi-beam piezoelectric, Multi-dimension global optimisation, Plucking, Random excitation, Self-powered applications
Machado, Lucas Q.
ade99133-3df5-4097-8207-4f99b40bd016
Alevras, Panagiotis
59f56e8d-6e07-47cf-8a74-2761ecd74c69
Tcherniak, Dmitri
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Wang, Junlei
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Zhou, Shengxi
993a651d-d77f-45a5-88dd-93f73a100b22
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
3 October 2022
Machado, Lucas Q.
ade99133-3df5-4097-8207-4f99b40bd016
Alevras, Panagiotis
59f56e8d-6e07-47cf-8a74-2761ecd74c69
Tcherniak, Dmitri
845d958b-3d30-470a-b6b9-25dfdabc4fe6
Wang, Junlei
d55dc6d0-734d-46e1-bedd-5ecc18df8702
Zhou, Shengxi
993a651d-d77f-45a5-88dd-93f73a100b22
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
Machado, Lucas Q., Alevras, Panagiotis, Tcherniak, Dmitri, Wang, Junlei, Zhou, Shengxi and Yurchenko, Daniil
(2022)
Optimisation of a forced multi-beam piezoelectric energy harvester.
Energy Conversion and Management, 270, [116257].
(doi:10.1016/j.enconman.2022.116257).
Abstract
A high-power multi-beam piezoelectric energy harvesting device is designed to meet the demands of the emerging technologies in Body Sensors Networks (BSNs), Wireless Sensors Networks (WSNs), the Internet of Things (IoT) and the Industrial Internet of Things (IIoTs). The proposed device utilises a plucking mechanism to excite the beams, organised in a comb-like structure. The harvester is presented in different length configurations and its performance is optimised to deliver the highest power under a given set of parameter values, constraints, and excitation characteristics. The unique feature of the device is that it can be tuned to any given frequency, although it demonstrates its superior performance in the frequency range of 2–50 Hz, delivering hundreds of mW. The device optimisation is conducted using a harmonic excitation, a harmonic excitation with random phase modulations, experimental vibration data collected using an internal combustion engine, and numerical data from simulations of out-of-plane oscillations of wind turbine blades. The paper proposes solutions to a number of challenges specific for multi-beam structures that have never been addressed before. It is demonstrated for the first time that the proposed harvester is able to meet the demands of relevant sensing applications.
Text
Forced_Vibration_Energy_Harvesting
More information
Accepted/In Press date: 16 September 2022
e-pub ahead of print date: 3 October 2022
Published date: 3 October 2022
Additional Information:
Funding Information:
The authors would like to acknowledge and are thankful for the support received from the Brazilian National Council for Scientific and Technological Development—CNPq , grant 202615/2019-7 . The authors also would like to acknowledge the suport of the Royal Society ( IEC/NSFC/201127 ) and the National Natural Science Foundation of China (Grant no. 12111530105 ). The authors would also like to acknowledge and thank Anders Melchior Hansen for providing the vibration data of the wind turbine blade.
Keywords:
Frequency-up conversion, High-power energy harvester, Multi-beam piezoelectric, Multi-dimension global optimisation, Plucking, Random excitation, Self-powered applications
Identifiers
Local EPrints ID: 484890
URI: http://eprints.soton.ac.uk/id/eprint/484890
ISSN: 0196-8904
PURE UUID: 6087696c-cbc6-40bc-ae0f-1a66a13c9bd6
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Date deposited: 23 Nov 2023 18:40
Last modified: 18 Mar 2024 04:04
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Contributors
Author:
Lucas Q. Machado
Author:
Panagiotis Alevras
Author:
Dmitri Tcherniak
Author:
Junlei Wang
Author:
Shengxi Zhou
Author:
Daniil Yurchenko
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