Pendulum-based vibration energy harvesting: Mechanisms, transducer integration, and applications

Wang, Tao

doi:10.1016/j.enconman.2022.116469

Cited by 55 publications

(7 citation statements)

References 143 publications

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“…The oscillations in the pendulum are induced through the supports which are subjected to ambient excitations. While the physics of EH from such devices are well understood and have been discussed extensively in the literature [7,8,12,13], the focus of this study is on investigating the effects of the network topology on the yield efficiency per harvester. Specifically, the performance of N coupled EH arranged in a regular topology vis-a-vis complex networked topology is investigated.…”

Section: Introductionmentioning

confidence: 99%

Fault resilience in network of energy harvesters

Pranesh,

Gupta

2024

J. Phys. Complex.

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Energy harvesters (EH) that scavenge energy from ambient environment are gaining popularity and are used for powering low demand devices on account of their low power outputs. Enhancement of the power is achieved through an array or network of identical EH. The focus of this study is on investigating how the network topology affects the harvesting efficiency per EH, using complex network theory. The studies are presented with respect to vibration induced EH, specifically, the commonly used network of coupled pendulums oscillating in a magnetic field, with the pendulum supports being subjected to vibrations. Questions on the EH efficiency are investigated with respect to the number of EH in the network, its topology and the effects of faults which lead to loss of regularity. Additionally, the effects of parametric random vari- abilities in the individual EH are investigated with respect to the harvesting efficiency. This study shows that EH efficiency is best for regular networks, can be enhanced by increasing connectivity but up to a limit and is resilient against few local faults. The performance drops with larger number of faults or due to parametric uncertainties. The findings of this study are expected to be of use in design and maintenance of EH networks.

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Section: Introductionmentioning

confidence: 99%

Fault resilience in network of energy harvesters

Pranesh,

Gupta

2024

J. Phys. Complex.

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“…Therefore, the wireless systems installed on the equipment are expected to be powered by vibration energy harvesting for equipment operating conditions monitoring. In general, some traditional vibration energy harvesting technologies such as piezoelectric, – electromagnetic, , and electrostatic – can transfer vibration energy into electrical output. However, these energy harvesting technologies face a lot of challenges in harvesting the low-frequency and microamplitude vibration energy generated by the mechanical equipment, such as high resonance frequency, large manufacturing volume, and additional power requirement, which limits their further development.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the wireless systems installed on the equipment are expected to be powered by vibration energy harvesting for equipment operating conditions monitoring. In general, some traditional vibration energy harvesting technologies such as piezoelectric, 10−12 electromagnetic, 13,14 and electrostatic 15−17 limits their further development. Therefore, a wireless system based on a low and wide frequency vibration energy harvesting technology is highly desired.…”

Section: ■ Introductionmentioning

confidence: 99%

Self-Powered Wireless Temperature and Vibration Monitoring System by Weak Vibrational Energy for Industrial Internet of Things

Qi,

Zhao,

Zeng

et al. 2023

ACS Appl. Mater. Interfaces

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Developing self-powered smart wireless sensor networks by harvesting industrial environmental weak vibration energy remains a challenge and an impending need for enabling the widespread rollout of the industrial internet of things (IIoT). This work reports a self-powered wireless temperature and vibration monitoring system (WTVMS) based on a vibrational triboelectric nanogenerator (V-TENG) and a piezoelectric nanogenerator (PENG) for weak vibration energy collection and information sensing. Therein, the V-TENG can scavenge weak vibration energy down to 80 μm to power the system through a power management module, while the PENG is able to supply the frequency signal to the system by a comparison circuit. In an industrial vibration environment where the vibration frequency and amplitude are 20 Hz and 100 μm, respectively, the WTVMS can upload temperature and frequency information on the equipment to the cloud in combination with the narrowband IoT technology to realize real-time information monitoring. Furthermore, the WTVMS can work continuously for more than 2 months, during which the V-TENG can operate up to 100 million cycles, achieving ultrahigh stability and durability. By integrating weak vibration energy harvesting and active sensing technology, the WTVMS can be used for real-time online monitoring and early fault diagnosis of vibration equipment, which has great application prospects in industrial production, machinery manufacturing, traffic transportation, and intelligent IIoT.

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“…The environmental problems caused by traditional energy are becoming more and more serious [1,2]. All sectors of society pay great attention to the application of renewable and environmentally friendly energy [3,4]. It is a new energy strategy through harvesting environmental energy and utilizing wasted energy such as mechanical vibration [5], wind [6], tide [7], sunlight [8], etc.…”

Section: Introductionmentioning

confidence: 99%

Enhanced multi-band acoustic energy harvesting using double defect modes of Helmholtz resonant metamaterial

Xiao,

Tan,

et al. 2023

Smart Mater. Struct.

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Acoustic metamaterials (AMs) based on phononic crystals have been widely employed for acoustic energy harvesting, for their capacity to amplify incident sound waves and transfer them to piezoelectric devices. By substituting a resonator unit with a piezoelectric material having distinct characteristics, the periodicity of the AM is locally disrupted, resulting in the generation of defect bands within the band gap. At the frequencies corresponding to these defect bands, the AM exhibits the phenomenon of local resonance, which concentrates the incident acoustic energy at the defect sites and significantly enhances the output power of the piezoelectric devices. Conventional AMs primarily consist of elastic resonators, which can be regarded as spring-mass systems. The elastic resonances of these resonators lead to local resonance in the AM and are utilized for single-band acoustoelectric conversion. In contrast, Helmholtz resonators, in addition to demonstrating mechanical resonance, generate acoustic resonance at specific frequencies. By combining AM with Helmholtz resonators, the resulting Helmholtz acoustic metamaterial (HAM) achieves energy localization effects within two defect bands, thereby increasing the output power and broadening the operational frequency range of the AM. This study aims to investigate the energy localization in HAM with multiple point defects within the two defect bands through numerical simulations and experimental analysis. Multiple Helmholtz resonators are intentionally removed from the HAM to introduce these multi-point defects. The interaction of elastic waves localized within these defects further enhances the energy harvesting efficiency of the HAM. Comparing the voltage frequency response functions, it is observed that, in both the first and second band gaps, the output voltage of the three double-defect Helmholtz acoustic metamaterial (DHAM) structures surpasses that of the single-defect Helmholtz acoustic metamaterial (SHAM). As the distance between the two defects decreases, the energy harvesting at the defect modes intensifies due to a stronger coupling effect.

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Pendulum-based vibration energy harvesting: Mechanisms, transducer integration, and applications

Cited by 55 publications

References 143 publications

Fault resilience in network of energy harvesters

Fault resilience in network of energy harvesters

Self-Powered Wireless Temperature and Vibration Monitoring System by Weak Vibrational Energy for Industrial Internet of Things

Enhanced multi-band acoustic energy harvesting using double defect modes of Helmholtz resonant metamaterial

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