TY - JOUR
T1 - Optimisation of a forced multi-beam piezoelectric energy harvester
AU - Machado, Lucas Q.
AU - Alevras, Panagiotis
AU - Tcherniak, Dmitri
AU - Wang, Junlei
AU - Zhou, Shengxi
AU - Yurchenko, Daniil
N1 - 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.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/10/15
Y1 - 2022/10/15
N2 - 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.
AB - 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.
KW - Frequency-up conversion
KW - High-power energy harvester
KW - Multi-beam piezoelectric
KW - Multi-dimension global optimisation
KW - Plucking
KW - Random excitation
KW - Self-powered applications
UR - http://www.scopus.com/inward/record.url?scp=85139257335&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2022.116257
DO - 10.1016/j.enconman.2022.116257
M3 - Article
AN - SCOPUS:85139257335
SN - 0196-8904
VL - 270
JO - Energy Conversion and Management
JF - Energy Conversion and Management
M1 - 116257
ER -