Driving-torque self-adjusted triboelectric nanogenerator for effective harvesting of random wind energy

Wang, Yuqi; Li, Xiang; Yu, Xin; Zhu, Jianyang; Shen, Ping; Wang, Zhong Lin; Cheng, Tinghai

doi:10.1016/j.nanoen.2022.107389

Cited by 33 publications

(15 citation statements)

References 45 publications

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“…A driving‐torque self‐adjusted mechanism can regulate the rotation torque adaptively through the change of centrifugal force during rotation, and the trapezoid shape contact surface can match between the driving‐torque dynamically. [ 295 ] When the wind speed is low, the contact area is small, which is conducive to the energy harvesting at low wind speed. As the wind speed increases, the adaptive increase of the contact area can improve the output power of the device at high wind speed.…”

Section: Methods and Designsmentioning

confidence: 99%

Mechanical Intelligent Energy Harvesting: From Methodology to Applications

Zhao

Zou

Wei

et al. 2023

Advanced Energy Materials

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The Artificial Intelligence of Things (AIoT) connects everything with intelligence, while the increase in energy consumption generated by numerous electronic devices puts forward an impending demand on the power supply. Energy harvesting technology has emerged as a compelling innovation technology for the net zero emissions of the power supply for the AIoT. Although significant advances have been witnessed in energy harvesting, some issues such as poor electrical output, weak environmental adaptability, and low reliability are difficult to satisfactorily resolve. Mechanical intelligent energy harvesting can be defined as the system identifying the external excitation or its own state and reacting to it, rather than relying on electrical sensing elements or a central controller for certain adaptive or programmed functions. The adaptive and programmed functions exhibit great potential in solving the above‐mentioned issues that seriously restrict the development of the energy harvesting technology. Here, a generalized definition of mechanical intelligent energy harvesting is given critically and the design methodology is elaborated. The typical reported energy harvesting systems with the characteristics of mechanical intelligence are reviewed. The key research directions in mechanical intelligent energy harvesting are discussed. The mechanical intelligence is expected to revolutionize the development of the energy‐harvesting technology and pave the way for applications.

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Section: Methods and Designsmentioning

confidence: 99%

Mechanical Intelligent Energy Harvesting: From Methodology to Applications

Zhao

Zou

Wei

et al. 2023

Advanced Energy Materials

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“…To enhance the durability and lifetime, many strategies have been carried out for reducing the mechanical wear between the two tribolayers, such as the polymer elastic contact mode, [22][23][24] intermittent contact mode and non-contact mode. [25][26][27][28] However, these methods are a certain degree of compromise between output performance and mechanical wear.…”

Section: Introductionmentioning

confidence: 99%

Ultra‐Robust and High‐Performance Rotational Triboelectric Nanogenerator by Bearing Charge Pumping

Qin

Zhang

et al. 2023

Energy & Environ Materials

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As an emerging technology to convert environmental high‐entropy energy into electrical energy, triboelectric nanogenerator (TENG) has great demands for further enhancing the service lifetime and output performance in practical applications. Here, an ultra‐robust and high‐performance rotational triboelectric nanogenerator (R‐TENG) by bearing charge pumping is proposed. The R‐TENG composes of a pumping TENG (P‐TENG), an output TENG (O‐TENG), a voltage‐multiplying circuit (VMC), and a buffer capacitor. The P‐TENG is designed with freestanding mode based on a rolling ball bearing, which can also act as the rotating mechanical energy harvester. The output low charge from the P‐TENG is accumulated and pumped to the non‐contact O‐TENG, which can simultaneously realize ultralow mechanical wear and high output performance. The matched instantaneous power of R‐TENG is increased by 32 times under 300 r/min. Furthermore, the transferring charge of R‐TENG can remain 95% during 15 days (6.4 × 106 cycles) continuous operation. This work presents a realizable method to further enhance the durability of TENG, which would facilitate the practical applications of high‐performance TENG in harvesting distributed ambient micro mechanical energy.

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“…TENGs have the advantages of a wide range and low cost of materials, a simple structure, and are more suitable for low-frequency and small-amplitude vibration environments . At present, TENGs are being widely used in various energy-harvesting fields, such as vibration energy, human motion energy, wave energy, and wind energy …”

Section: Introductionmentioning

confidence: 99%

“…21 At present, TENGs are being widely used in various energyharvesting fields, such as vibration energy, 3 human motion energy, 22 wave energy, 23 and wind energy. 24 The mainstream TENG structures in the field of vibration energy harvesting are spring support structures, 25 arch-shaped support structures, 26 and cantilever structures. 27 Chen et al 2 proposed a harmonic-resonator-based TENG supported by four springs.…”

Section: Introductionmentioning

confidence: 99%

Triboelectric Nanogenerator with a Rotational Freestanding Mode for Multi-directional Vibration Energy Harvesting

Wang

Yin

Sun

et al. 2023

ACS Appl. Energy Mater.

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Harvesting the vibration energy commonly found in engines, air compressors, and other machines is of great significance for energy recovery and reutilization. However, due to the small vibration amplitude and non-single vibration directions, the conventional vibration energy harvesters based on triboelectric nanogenerators (TENGs) have a low efficiency. In this work, we proposed a TENG with a rotational freestanding mode (RFM-TENG), which can effectively harvest the mechanical vibration energy with a small amplitude, high frequency, and multiple directions. The working principle and performance characteristics of each TENG unit were demonstrated through theoretical analysis and electrical simulations. To further improve the harvest efficiency, we prepared a room-temperature vulcanized silicone rubber (RTV) film doped with high dielectric constant halloysite nanotubes powder as the triboelectric layer, which increased the open-circuit voltage by 100% and the short-circuit current by 85% at an optimal doping ratio of 7 wt %. When the RFM-TENG was installed on an air compressor, it generated an open-circuit voltage of about 60 V and a maximum output power of 45 μW and allowed 30 commercial LEDs to light up simultaneously. RFM-TENG has the advantages of strong nonlinearity, high sensitivity, and multi-directional response and has potential applications in the field of smart factory and digital twin.

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Driving-torque self-adjusted triboelectric nanogenerator for effective harvesting of random wind energy

Cited by 33 publications

References 45 publications

Mechanical Intelligent Energy Harvesting: From Methodology to Applications

Mechanical Intelligent Energy Harvesting: From Methodology to Applications

Ultra‐Robust and High‐Performance Rotational Triboelectric Nanogenerator by Bearing Charge Pumping

Triboelectric Nanogenerator with a Rotational Freestanding Mode for Multi-directional Vibration Energy Harvesting

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