TY - JOUR
T1 - Dynamic response mechanism of the galloping energy harvester under fluctuating wind conditions
AU - Xu, Ming
AU - Wang, Bin
AU - Li, Xiaoya
AU - Zhou, Shengxi
AU - Yurchenko, Daniil
N1 - 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
PY - 2022/3/1
Y1 - 2022/3/1
N2 - 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.
AB - 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.
KW - Fluctuating wind
KW - Galloping energy harvester
KW - Mean output power
KW - Stochastic averaging
UR - http://www.scopus.com/inward/record.url?scp=85118563667&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2021.108410
DO - 10.1016/j.ymssp.2021.108410
M3 - Article
AN - SCOPUS:85118563667
SN - 0888-3270
VL - 166
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
M1 - 108410
ER -