4.8 Review

Factors affecting the performance of flexible triboelectric nanogenerators (F-TENGs) and their sensing capabilities: A comprehensive review

期刊

NANO ENERGY
卷 118, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.nanoen.2023.108983

关键词

Renewable energy; Flexible triboelectric nanogenerator; Wearable electronics; Self-powering; Smart sensing

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This review comprehensively analyzes the factors influencing the performance of F-TENGs and highlights the recent advancements in self-powered sensing technology utilizing them. It also explores the crucial role of F-TENGs in sustainable development and IoT platforms, providing a roadmap for future directions.
Flexible triboelectric nanogenerators (F-TENGs) are rapidly emerging as highly promising devices for energy harvesting and wireless sensor applications, offering self-powering capabilities and advanced smart sensing functionalities. However, their performance is contingent upon various influential factors that necessitate dili-gent attention and resolution. This review presents a comprehensive analysis of the factors influencing the performance of F-TENGs and highlights the recent advancements in self-powered sensing technology utilizing them. The initial section provides a concise overview of the fundamental concepts and working mechanisms of F-TENGs, critically assessing the impact of various factors such as materials, surface morphology, environmental conditions, and power management units on their performance. These advancements have the potential to significantly broaden the applications of F-TENGs across diverse smart sensing domains, contributing to sus-tainable development and wider end-use. Moreover, the review underscores their crucial role in self-powered energy devices and their potential as integral sensing elements for Internet of Things (IoT) platforms. It also explores the challenges and future directions of F-TENGs, providing a roadmap for their development, scalability, and commercialization within modern IoT and AI frameworks. Ultimately, this review offers an in-depth un-derstanding of the factors influencing the output performance of F-TENGs and proposes strategies for future research to unlock their full potential, enabling stable and autonomous smart sensing solutions.

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