Scientific Reports (Dec 2017)

Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators

  • Abdelsalam Ahmed,
  • Islam Hassan,
  • Peiyi Song,
  • Mohamed Gamaleldin,
  • Ali Radhi,
  • Nishtha Panwar,
  • Swee Chuan Tjin,
  • Ahmed Y. Desoky,
  • David Sinton,
  • Ken-Tye Yong,
  • Jean Zu

DOI
https://doi.org/10.1038/s41598-017-17453-4
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 9

Abstract

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Abstract Bio-inspired technologies have remarkable potential for energy harvesting from clean and sustainable energy sources. Inspired by the hummingbird-wing structure, we propose a shape-adaptive, lightweight triboelectric nanogenerator (TENG) designed to exploit the unique flutter mechanics of the hummingbird for small-scale wind energy harvesting. The flutter is confined between two surfaces for contact electrification upon oscillation. We investigate the flutter mechanics on multiple contact surfaces with several free-standing and lightweight electrification designs. The flutter driven-TENGs are deposited on simplified wing designs to match the electrical performance with variations in wind speed. The hummingbird TENG (H-TENG) device weighed 10 g, making it one of the lightest TENG harvesters in the literature. With a six TENG network, the hybrid design attained a 1.5 W m−2 peak electrical output at 7.5 m/s wind speed with an approximately linear increase in charge rate with the increased number of TENG harvesters. We demonstrate the ability of the H-TENG networks to operate Internet of Things (IoT) devices from sustainable and renewable energy sources.