Hybridized Triboelectric‐Electromagnetic Nanogenerator for Wind Energy Harvesting to Realize Real‐Time Power Supply of Sensor Nodes

Zhao, Jianxiong; Mu, Jiliang; Cui, Haoran; He, Wenjun; Zhang, Le; He, Jian; Gao, Xin; Li, Zhengyang; Hou, Xiaojuan; Chou, Xiujian

doi:10.1002/admt.202001022

Cited by 31 publications

(21 citation statements)

References 41 publications

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“…Zhao et al [ 156 ] produced a triboelectric–electromagnetic hybrid nanogenerator (TEHG) that can gather wind energy while also powering electronic gadgets. This nanogenerator is made up of a TENG that operates in the sliding independent triboelectric-layer mode and an EMG that operates in the rotating mode.…”

Section: Performance and Applicationsmentioning

confidence: 99%

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Recent Progress of Nanogenerators for Green Energy Harvesting: Performance, Applications, and Challenges

et al. 2022

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Natural sources of green energy include sunshine, water, biomass, geothermal heat, and wind. These energies are alternate forms of electrical energy that do not rely on fossil fuels. Green energy is environmentally benign, as it avoids the generation of greenhouse gases and pollutants. Various systems and equipment have been utilized to gather natural energy. However, most technologies need a huge amount of infrastructure and expensive equipment in order to power electronic gadgets, smart sensors, and wearable devices. Nanogenerators have recently emerged as an alternative technique for collecting energy from both natural and artificial sources, with significant benefits such as light weight, low-cost production, simple operation, easy signal processing, and low-cost materials. These nanogenerators might power electronic components and wearable devices used in a variety of applications such as telecommunications, the medical sector, the military and automotive industries, and internet of things (IoT) devices. We describe new research on the performance of nanogenerators employing several green energy acquisition processes such as piezoelectric, electromagnetic, thermoelectric, and triboelectric. Furthermore, the materials, applications, challenges, and future prospects of several nanogenerators are discussed.

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Section: Performance and Applicationsmentioning

confidence: 99%

“… The TEHG structure developed by Zhao et al [ 156 ]. ( a ) Schematic view of the main components and materials of the TEHG.…”

Section: Figurementioning

confidence: 99%

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Recent Progress of Nanogenerators for Green Energy Harvesting: Performance, Applications, and Challenges

et al. 2022

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“…[ 8 ], as well as from random vibrations [ 9 ]. In this case, piezoelectric [ 10 ], thermoelectric [ 11 ] and tribolelectric generators [ 12 ] can be applied to fulfill the requested limits of the energy consumption and data harvesting capability while allowing communication with a checking unit. Among the systems mentioned above, the piezoelectric generators have mainly been found to be promising.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of PVDF Sheets and Their Sensitivity to Mechanical Vibrations: The Role of Dimensions, Molecular Weight, Stretching and Poling

et al. 2021

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This paper is focused on the comparative study of the vibration sensing capabilities of poly(vinylidene fluoride) (PVDF) sheets. The main parameters such as molecular weight, initial sample thickness, stretching and poling were systematically applied, and their impact on sensing behavior was examined. The mechanical properties of prepared sheets were investigated via tensile testing on the samples with various initial thicknesses. The transformation of the α-phase to the electro-active β-phase was analyzed using FTIR after applying stretching and poling procedures as crucial post-processing techniques. As a complementary method, the XRD was applied, and it confirmed the crystallinity data resulting from the FTIR analysis. The highest degree of phase transformation was found in the PVDF sheet with a moderate molecular weight (Mw of 275 kDa) after being subjected to the highest axial elongation (500%); in this case, the β-phase content reached approximately 90%. Finally, the vibration sensing capability was systematically determined, and all the mentioned processing/molecular parameters were taken into consideration. The whole range of the elongations (from 50 to 500%) applied on the PVDF sheets with an Mw of 180 and 275 kDa and an initial thickness of 0.5 mm appeared to be sufficient for vibration sensing purposes, showing a d33 piezoelectric charge coefficient from 7 pC N−1 to 9.9 pC N−1. In terms of the d33, the PVDF sheets were suitable regardless of their Mw only after applying the elongation of 500%. Among all the investigated samples, those with an initial thickness of 1.0 mm did not seem to be suitable for vibration sensing purposes.

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“…[7] When the external excitation is applied to a sensor, the TENG can sense sensitive mechanical motion and generate the electrical signal, whose characteristics can reflect the motion state. [8] In recent years, due to the sensing ability of the TENG, triboelectric sensors, including mechanical motion sensors, [9][10][11][12] gas sensors, [13][14][15][16] fluid sensor, [17] wearable sensor [18] and human-machine interface sensor [19] have been rapidly developed. In addition, many studies have demonstrated that TENG has advantages of wide material applicability, simple structure, small size, low cost, and high integration.…”

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confidence: 99%

Sliding Triboelectric Circular Motion Sensor with Real‐Time Hardware Processing

Xie

Zeng

Yang

et al. 2021

Adv Materials Technologies

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Since circular motion becomes an important part of automated circulation equipment, a sliding triboelectric circular motion sensor (S‐TCMS) has been demonstrated to monitor the velocity and displacement of a circular motion. The S‐TCMS consists of the stator and slider, which is integrated with automated circular motion equipment for sensing applications. When the slider of PTFE grid slides between the stator's electrodes, four electrical signals are produced in the staggered electrode. The experimental results show that the voltage amplitude remains constant at different sliding velocities, showing good sensing stability. Also, this work proposes a real‐time hardware signal processing method, which converts the original S‐TCMS signal into two standard square wave signals. The method makes the sensing detection of S‐TCMS independent from electrostatic instrument and reduces the occupation of hardware resources. The sensing experimental results show that S‐TCMS can detect the velocity of circular motion with the maximum velocity deviation rate of less than 0.37%, the angular position sensing detection accuracy of 0.42°. The S‐TCMS shows good circular motion‐sensing characteristics after hardware signal processing.

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Hybridized Triboelectric‐Electromagnetic Nanogenerator for Wind Energy Harvesting to Realize Real‐Time Power Supply of Sensor Nodes

Cited by 31 publications

References 41 publications

Recent Progress of Nanogenerators for Green Energy Harvesting: Performance, Applications, and Challenges

Recent Progress of Nanogenerators for Green Energy Harvesting: Performance, Applications, and Challenges

Comparative Study of PVDF Sheets and Their Sensitivity to Mechanical Vibrations: The Role of Dimensions, Molecular Weight, Stretching and Poling

Sliding Triboelectric Circular Motion Sensor with Real‐Time Hardware Processing

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