Experimental Investigation of Reynolds Number and Spring Stiffness Effects on Vortex-Induced Vibration Driven Wind Energy Harvesting Triboelectric Nanogenerator
- PMID: 36296785
- PMCID: PMC9608953
- DOI: 10.3390/nano12203595
Experimental Investigation of Reynolds Number and Spring Stiffness Effects on Vortex-Induced Vibration Driven Wind Energy Harvesting Triboelectric Nanogenerator
Abstract
Vortex-induced vibration (VIV) is a process that wind energy converts to the mechanical energy of the bluff body. Enhancing VIV to harvest wind energy is a promising method to power wireless sensor nodes in the Internet of Things. In this work, a VIV-driven square cylinder triboelectric nanogenerator (SC-TENG) is proposed to harvest broadband wind energy. The vibration characteristic and output performance are studied experimentally to investigate the effect of the natural frequency by using five different springs in a wide range of stiffnesses (27 N/m<K<90 N/m). The square cylinder is limited to transverse oscillation and experiments were conducted in the Reynolds regime (3.93×103−3.25×104). The results demonstrate the strong dependency of VIV on natural frequency and lock-in observed in a broad range of spring stiffness. Moreover, the amplitude ratio and range of lock-in region increase by decreasing spring stiffness. On the other hand, the SC-TENG with higher spring stiffness can result in higher output under high wind velocities. These observations suggest employing an adjustable natural frequency system to have optimum energy harvesting in VIV-based SC-TENG in an expanded range of operations.
Keywords: spring stiffness; triboelectric nanogenerator; vortex-induced vibration; wind energy.
Conflict of interest statement
The authors declare no conflict of interest.
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References
-
- Hu C., Pu Y., Yang F., Zhao R., Alrawais A., Xiang T. Secure and Efficient Data Collection and Storage of IoT in Smart Ocean. IEEE Internet Things J. 2020;7:9980–9994. doi: 10.1109/JIOT.2020.2988733. - DOI
-
- Ramasur D., Hancke G.P. A wind energy harvester for low power wireless sensor networks; Proceedings of the Instrumentation and Measurement Technology Conference (I2MTC); Graz, Austria. 13–16 May 2012; pp. 2623–2627.
-
- Horn J.W., Arnett E.B., Kunz T.H. Behavioral Responses of Bats to Operating Wind Turbines. J. Wildlife Manag. 2008;72:123–132. doi: 10.2193/2006-465. - DOI
-
- Orrego S., Shoele K., Ruas A., Doran K., Caggiano B., Mittal R., Kang S.H. Harvesting ambient wind energy with an inverted piezoelectric flag. Appl. Energ. 2017;194:212–222. doi: 10.1016/j.apenergy.2017.03.016. - DOI
-
- Ackermann T., Soder L. Wind energy technology and current status: A review. Renew. Sust. Energ. Rev. 2000;4:315–374. doi: 10.1016/S1364-0321(00)00004-6. - DOI
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