Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators

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 th...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/19b170fd513d431f98071103b038d398
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spelling	oai:doaj.org-article:19b170fd513d431f98071103b038d3982021-12-02T15:04:56ZSelf-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators10.1038/s41598-017-17453-42045-2322https://doaj.org/article/19b170fd513d431f98071103b038d3982017-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-17453-4https://doaj.org/toc/2045-2322Abstract 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.Abdelsalam AhmedIslam HassanPeiyi SongMohamed GamaleldinAli RadhiNishtha PanwarSwee Chuan TjinAhmed Y. DesokyDavid SintonKen-Tye YongJean ZuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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 Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators
description	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.
format	article
author	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
author_facet	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
author_sort	Abdelsalam Ahmed
title	Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators
title_short	Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators
title_full	Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators
title_fullStr	Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators
title_full_unstemmed	Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators
title_sort	self-adaptive bioinspired hummingbird-wing stimulated triboelectric nanogenerators
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/19b170fd513d431f98071103b038d398
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Self-adaptive Bioinspired Hummingbird-wing Stimulated Triboelectric Nanogenerators

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