Triboelectric nanogenerators enabled internet of things: A survey

Li, Jiarong; Wu, Changsheng; Dharmasena, Ishara G.; Ni, Xiaoyue; Wang, Zihan; Shen, Helen C.; Huang, Shao-Lun; Ding, Wenbo

doi:10.23919/icn.2020.0008

Cited by 69 publications

(35 citation statements)

References 94 publications

(164 reference statements)

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“…σ' is the equivalent triboelectric charge density of the disk-shaped TENG, which is set as ≈100 µC•m -2 as it has only one triboelectric layer compared with the double triboelectric layers in Zhu's TENG. [39] As the pole pairs of TENG can be defined as Equation (2). Thus the total amount of the transferred charge for each TENG can be calculated from Equations ( 1) and (2) can be further expressed as Equation (3).…”

Section: Structure and Working Mechanism Of D-tengmentioning

confidence: 99%

“…The swift development of the Internet of Things has aroused urgent demands for powering trillions number of widely distributed sensors that can monitor every aspect of human lives reliably and autonomously. [ 1–5 ] The deficiencies of conventional battery‐based sensors such as limited lifetime, risk of environmental pollution, and low device maintainability [ 6,7 ] have been gradually exposed to be insufficient to settle down the explosive increase of these decentralized sensors. Thus, self‐powered technology that harvests environmental energy as sustainable power supply has become an attractive and sustainable solution to the restraints of conventional power supply.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Auto‐Switching Self‐Powered System for Efficient Broad‐Band Wind Energy Harvesting Based on Dual‐Rotation Shaft Triboelectric Nanogenerator

Yong

Wang

Yang

et al. 2021

Advanced Energy Materials

158

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The deficiencies of conventional battery-based sensors such as limited lifetime, risk of environmental pollution, and low device maintainability [6,7] have been gradually exposed to be insufficient to settle down the explosive increase of these decentralized sensors. Thus, self-powered technology that harvests environmental energy as sustainable power supply has become an attractive and sustainable solution to the restraints of conventional power supply. [8][9][10][11] Among all types of ambient energy, wind energy is regarded as the most ubiquitous and sustainable energy source in our daily life with huge quantities. [12][13][14][15] Traditionally, the wind energy generally refers to medium and strong winds with wind speeds over 4.0 m s −1 , which is an efficient working range for most of wind harvesting technologies. [16][17][18][19] However, the global average wind speed near the surface with an observation altitude of 10 m in height is reported to be 3.28 m s −1 , [10,18] which implies the inadequate utilization of the most prevalent wind energy resources in low wind speed by current technology. In decades, wind power generations with electromagnetic generators (EMGs) have been widely used in the wind farm, [20,21] but still difficult to apply in distributed miniature power supply for their bulky and heavy inherent A triboelectric nanogenerator (TENG) based self-powered system for wind energy harvesting introduces a desirable solution to alleviate the expanding energy supply concerns in the development of the internet of things. In this work, an auto-switching self-powered system based on a dual-rotation shaft TENG (D-TENG) is reported to effectively harvest wind energy over a broad-band wind speed (2.2-16 m s −1 ). The D-TENG is designed in a concentric dual-rotation shaft structure, in which two independent TENGs with different shapes, sizes, and arm lengths of wind cups are rationally coupled. The integration of the two TENGs with varied structural parameters achieves mutual compensation of their own merits, enabling the whole system to have preferable aerodynamics and high energy conversion efficiency over a broad range of wind speeds. Moreover, an electromagnetic generator (EMG) with the same energy collection module is also fabricated for a comparison with TENG in the start-up properties and average output power. Furthermore, a packaged self-powered system is demonstrated for simulated wind energy harvesting, while the charging characteristics are also discovered. The proposed TENG renders a more efficient technique for energy harvesting and greatly expands its potential in the large-scale wind energy harvesting that can be attributed to the multi-stage strategy.

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Section: Structure and Working Mechanism Of D-tengmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Auto‐Switching Self‐Powered System for Efficient Broad‐Band Wind Energy Harvesting Based on Dual‐Rotation Shaft Triboelectric Nanogenerator

Yong

Wang

Yang

et al. 2021

Advanced Energy Materials

158

View full text Add to dashboard Cite

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“…Architected structural materials (e.g., mechanical metamaterials) have been deployed to improve the performance of nanogenerators 31 . More recently, studies have been carried out on applying computer-aided techniques in TENG, e.g., TENG-enabled internet of things 32 , or artificial intelligence-enhanced TENG 33 . In general, it is critical and challenging to rationally design simple structures that are feasible in commercial production to effectively trigger TENG under undesirable mechanical excitations in the environment (e.g., low-frequency and low-amplitude oscillations) 2 , 34 .…”

Section: Introductionmentioning

confidence: 99%

Magnetic capsulate triboelectric nanogenerators

Jiao

Nazar

Egbe

et al. 2022

Sci Rep

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Triboelectric nanogenerators have received significant research attention in recent years. Structural design plays a critical role in improving the energy harvesting performance of triboelectric nanogenerators. Here, we develop the magnetic capsulate triboelectric nanogenerators (MC-TENG) for energy harvesting under undesirable mechanical excitations. The capsulate TENG are designed to be driven by an oscillation-triggered magnetic force in a holding frame to generate electrical power due to the principle of the freestanding triboelectrification. Experimental and numerical studies are conducted to investigate the electrical performance of MC-TENG under cyclic loading in three energy harvesting modes. The results indicate that the energy harvesting performance of the MC-TENG is significantly affected by the structure of the capsulate TENG. The copper MC-TENG systems are found to be the most effective design that generates the maximum mode of the voltage range is 4 V in the closed-circuit with the resistance of 10 GΩ. The proposed MC-TENG concept provides an effective method to harvest electrical energy from low-frequency and low-amplitude oscillations such as ocean wave.

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“…Wireless sensing and communications capabilities are essential for any Internet of Things (IoT) infrastructure. 1,2 Since Maxwell predicted the existence of electromagnetic (EM) waves, 3 attempts to push the limits of wireless communications have taken place over a century. However, traditional radio frequency (RF) based communications technologies are limited due to the scarcity of band resources 4 and radio-frequency interference (RFI).…”

Section: Introductionmentioning

confidence: 99%