Global optimisation approach for designing high-efficiency piezoelectric beam-based energy harvesting devices
Global optimisation approach for designing high-efficiency piezoelectric beam-based energy harvesting devices
The paper proposes a novel methodology for developing high-power energy harvesting gravity-based devices using an array of piezoelectric beams for wind energy applications. The methodology incorporates a global multidimensional constrained optimisation algorithm, which accounts for the physical size of the device, the physical, geometrical and electrical properties of the piezoelectric beams, and the power management circuit to increase the device’s efficiency. As the beams are plucked sequentially, they vibrate out-of-phase, which consequently leads to charge cancellation issues. The paper proposes and incorporates an electrical circuit design to avoid such problems, being able to further increase the efficiency of the device by 35% when compared against the output from the standard energy harvesting (SEH) circuit with independent rectifiers. The proposed optimisation methodology is applied to the devices utilising flexible polyvinylidene fluoride beams. The developed dynamic numerical model of the beams’ vibration is validated using the experimental results and the results of a Finite Element Analysis. To study the electro-mechanical coupling of the beams, an electric circuit and the power management circuit are created and modelled in Mat lab/Simulink software. The optimised device delivers 6 to 17 times higher energy output compared to the unoptimised device. The performance of this device was also compared to that of the device with much stiffer LiNbO3 beams (Clementi et al., 2021, [1]) to demonstrate the direct applicability of such devices to power sensors and transmitter units for structural monitoring of wind turbine blades. It has been demonstrated that the LiNbO3-beam device yields an energy output with one order of magnitude higher. The applied optimisation methodology enable da 0.057 × 0.017 × 2 m3 dimension device to produce a power output in the range from 0.5 to 1 W depending on the blades’ speed, resulting in 1.06 mW/cm3 power density of the device.
Energy harvesting, Free vibrations, LiNbO3, Optimisation, Piezoelectric, Polyvinylidene fluoride beams, Rectification circuit
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
Machado, Lucas Queiroz
333de39d-3cad-4576-99f0-6b5888cbda1e
Wang, Junlei
7afcea11-129b-4a82-b572-95b443c2c643
Bowen, Chris
99f297c6-4713-48dd-b294-c48b6f35b490
Sharkh, Suleiman
c8445516-dafe-41c2-b7e8-c21e295e56b9
Moshrefi-Torbati, Mohamed
65b351dc-7c2e-4a9a-83a4-df797973913b
Val, Dimitri V.
6b622b53-6081-406b-b85e-d03d2839d18d
March 2022
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
Machado, Lucas Queiroz
333de39d-3cad-4576-99f0-6b5888cbda1e
Wang, Junlei
7afcea11-129b-4a82-b572-95b443c2c643
Bowen, Chris
99f297c6-4713-48dd-b294-c48b6f35b490
Sharkh, Suleiman
c8445516-dafe-41c2-b7e8-c21e295e56b9
Moshrefi-Torbati, Mohamed
65b351dc-7c2e-4a9a-83a4-df797973913b
Val, Dimitri V.
6b622b53-6081-406b-b85e-d03d2839d18d
Yurchenko, Daniil, Machado, Lucas Queiroz, Wang, Junlei, Bowen, Chris, Sharkh, Suleiman, Moshrefi-Torbati, Mohamed and Val, Dimitri V.
(2022)
Global optimisation approach for designing high-efficiency piezoelectric beam-based energy harvesting devices.
Nano Energy, 93, [106684].
(doi:10.1016/j.nanoen.2021.106684).
Abstract
The paper proposes a novel methodology for developing high-power energy harvesting gravity-based devices using an array of piezoelectric beams for wind energy applications. The methodology incorporates a global multidimensional constrained optimisation algorithm, which accounts for the physical size of the device, the physical, geometrical and electrical properties of the piezoelectric beams, and the power management circuit to increase the device’s efficiency. As the beams are plucked sequentially, they vibrate out-of-phase, which consequently leads to charge cancellation issues. The paper proposes and incorporates an electrical circuit design to avoid such problems, being able to further increase the efficiency of the device by 35% when compared against the output from the standard energy harvesting (SEH) circuit with independent rectifiers. The proposed optimisation methodology is applied to the devices utilising flexible polyvinylidene fluoride beams. The developed dynamic numerical model of the beams’ vibration is validated using the experimental results and the results of a Finite Element Analysis. To study the electro-mechanical coupling of the beams, an electric circuit and the power management circuit are created and modelled in Mat lab/Simulink software. The optimised device delivers 6 to 17 times higher energy output compared to the unoptimised device. The performance of this device was also compared to that of the device with much stiffer LiNbO3 beams (Clementi et al., 2021, [1]) to demonstrate the direct applicability of such devices to power sensors and transmitter units for structural monitoring of wind turbine blades. It has been demonstrated that the LiNbO3-beam device yields an energy output with one order of magnitude higher. The applied optimisation methodology enable da 0.057 × 0.017 × 2 m3 dimension device to produce a power output in the range from 0.5 to 1 W depending on the blades’ speed, resulting in 1.06 mW/cm3 power density of the device.
Text
PE_EH_for_gadgets_NanoEnergy
- Accepted Manuscript
More information
Accepted/In Press date: 30 October 2021
e-pub ahead of print date: 24 December 2021
Published date: March 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 .
Keywords:
Energy harvesting, Free vibrations, LiNbO3, Optimisation, Piezoelectric, Polyvinylidene fluoride beams, Rectification circuit
Identifiers
Local EPrints ID: 454735
URI: http://eprints.soton.ac.uk/id/eprint/454735
ISSN: 2211-2855
PURE UUID: 1bd7dad5-43a1-4f47-b52f-39f5bb283b7b
Catalogue record
Date deposited: 22 Feb 2022 17:36
Last modified: 11 Jan 2025 05:01
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Contributors
Author:
Daniil Yurchenko
Author:
Lucas Queiroz Machado
Author:
Junlei Wang
Author:
Chris Bowen
Author:
Dimitri V. Val
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