Dynamic response mechanism of the galloping energy harvester under fluctuating wind conditions
Dynamic response mechanism of the galloping energy harvester under fluctuating wind conditions
The galloping energy harvesting technique has been extensively applied to harvest fluid energy and utilize the aeroelastic instability of mechanical systems in a flow field for low-powered electronic devices. However, the flow field is random in the real world. In previous studies, fluid motion was regarded as a deterministic process (i.e., with a constant wind speed). However, to determine the actual dynamic characteristics of the galloping energy harvester (GEH), fluctuations in wind speeds should be fully considered. In this study, the wind speed is separated into a mean component and a fluctuating component with the latter being considered Gaussian white noise. The mechanical and electrical dynamical statuses of the GEH are described by electromechanical coupled equations. The output voltage is decoupled by applying a generalized harmonic transformation and is approximated by the mechanical subsystem status. The mean output power is derived by applying stochastic averaging. The critical wind speed and optimal parameters of the harvester were determined in detail. The presented analytical procedure was verified by Monte Carlo simulation.
Fluctuating wind, Galloping energy harvester, Mean output power, Stochastic averaging
Xu, Ming
51f8f898-0bc6-40eb-aad0-ad612bd4857e
Wang, Bin
b6703870-0eee-417e-9f27-9b33c872aa73
Li, Xiaoya
748a6ae8-fd9c-4edd-b431-9725f0bf92e6
Zhou, Shengxi
c9ad9a91-4e40-47bb-909c-dcc41dfa4d20
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
8 September 2021
Xu, Ming
51f8f898-0bc6-40eb-aad0-ad612bd4857e
Wang, Bin
b6703870-0eee-417e-9f27-9b33c872aa73
Li, Xiaoya
748a6ae8-fd9c-4edd-b431-9725f0bf92e6
Zhou, Shengxi
c9ad9a91-4e40-47bb-909c-dcc41dfa4d20
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
Xu, Ming, Wang, Bin, Li, Xiaoya, Zhou, Shengxi and Yurchenko, Daniil
(2021)
Dynamic response mechanism of the galloping energy harvester under fluctuating wind conditions.
Mechanical Systems and Signal Processing, 166, [108410].
(doi:10.1016/j.ymssp.2021.108410).
Abstract
The galloping energy harvesting technique has been extensively applied to harvest fluid energy and utilize the aeroelastic instability of mechanical systems in a flow field for low-powered electronic devices. However, the flow field is random in the real world. In previous studies, fluid motion was regarded as a deterministic process (i.e., with a constant wind speed). However, to determine the actual dynamic characteristics of the galloping energy harvester (GEH), fluctuations in wind speeds should be fully considered. In this study, the wind speed is separated into a mean component and a fluctuating component with the latter being considered Gaussian white noise. The mechanical and electrical dynamical statuses of the GEH are described by electromechanical coupled equations. The output voltage is decoupled by applying a generalized harmonic transformation and is approximated by the mechanical subsystem status. The mean output power is derived by applying stochastic averaging. The critical wind speed and optimal parameters of the harvester were determined in detail. The presented analytical procedure was verified by Monte Carlo simulation.
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Accepted/In Press date: 27 August 2021
e-pub ahead of print date: 8 September 2021
Published date: 8 September 2021
Additional Information:
Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant nos. 11872061, 12072267, 12111530105), the 111 Project (No. BP0719007), the Zhejiang Provincial Natural Science Foundation of China (No. LY20A020006), and the Fundamental Research Funds for the Provincial Universities of Zhejiang (2020YW07) and the Royal Society International Exchanges 2020 Cost Share (IEC\NSFC\201127).
Publisher Copyright:
© 2021 Elsevier Ltd
Keywords:
Fluctuating wind, Galloping energy harvester, Mean output power, Stochastic averaging
Identifiers
Local EPrints ID: 468198
URI: http://eprints.soton.ac.uk/id/eprint/468198
ISSN: 0888-3270
PURE UUID: 759b877c-0399-4eb1-8918-9f7aa78817cf
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Date deposited: 04 Aug 2022 16:58
Last modified: 17 Mar 2024 04:11
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Contributors
Author:
Ming Xu
Author:
Bin Wang
Author:
Xiaoya Li
Author:
Shengxi Zhou
Author:
Daniil Yurchenko
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