| Literature DB >> 29215064 |
Abdelsalam Ahmed1, Islam Hassan2,3, Peiyi Song4, Mohamed Gamaleldin5, Ali Radhi2, Nishtha Panwar4, Swee Chuan Tjin4, Ahmed Y Desoky6,7, David Sinton8, Ken-Tye Yong4, Jean Zu9.
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.Entities:
Year: 2017 PMID: 29215064 PMCID: PMC5719441 DOI: 10.1038/s41598-017-17453-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Schematic and experimental structure of a hummingbird wind TENG. (a) 3D modeling of the proposed H-TENG wind harvester (with SEM photo at 1 μm scale bar for the Al surface on the left, and SEM image of the FEP polymer nanowires at sale bar is 500 nm on the right), Inset photos represent the real hummingbird bird and the real hummingbird TENG. (b) H-TENG kinematics analysis in front and top views (c) 3D model of the hummingbird wing with description of the three TENGs configurations; at the top (TENG 1), at the bottom (TENG 2) and inside the wing (TENG 3) (i) Working mechanism of the flag TENG which is placed on the top and bottom of the H-TENG harvester wing. (ii) Working mechanism of the flag inside the wing as a second mode to harvest the mechanical motion resulting from the wind and mimicking the hummingbird flapping motion, (d) Potential distribution of the device for different flags using COMSOL.
Figure 2Wing aerodynamics modeling and experimental setup. (a) Wing geometry parameters and components of the total aerodynamic force in upstroke and downstroke. (b) The averaged trajectory of the wing tip in the XZ-plane. (c) Measuring setup inside the closed system wind tunnel while monitoring the wind speed values and the wind tunnel.
Figure 3H-TENG characteristic studies. (a) Output voltage of the TENG at different flag length ratios. (b) The output voltage of the TENG at different heights of the channel inside the wing from 5 mm to 15 mm. (c) The output voltage of the TENG at different angles of attack of the channel from −36° to 36°. (d) Dependence of the Short-circuit current, ISC of the H-TENG with varying wind speeds from 3 to 15 m/s. (e) Load resistance dependency on the current, voltage and power density for one unit of H-TENG. (f) Dependence of the power output with a number of units, n (n = 1, 2, 4 and 6) on the resistance load. (g) Charging curves of a capacitor (capacity: 1 µF) for energy storage by one, three and six hummingbird TENGs. Inset figure is a tree shape network of hummingbird TENG units for portable wind harvesting applications, (h) Image of 50 powered LEDs using one unit of the H-TENG.
Figure 4(a) A circuit diagram of the self-powered wireless environmental node (pressure-temperature-humidity) for IoT applications enabled by H-TENG. (b) The power management circuit, battery, router, environmental sensor node, H-TENG and a wireless module. (c) The temperature, pressure, and humidity are transmitted from the wireless sensor node system to a mobile and a computer screen. The inset figure shows the enlarged values of sensor outputs on a web browser in a laptop as its IoT application.