TY - JOUR
T1 - Factors Affecting the Performance of Flexible Triboelectric Nanogenerators (F-TENGs) and their Sensing Capabilities: A Comprehensive Review
AU - Baburaj, Aiswarya
AU - Kumar, Naveen
AU - Aliyana, Akshaya Kumar
AU - Banakar, Megha
AU - Bairagi, Satyaranjan
AU - Stylios, George
N1 - Funding Information:
Satyaranjan Bairagi is a Postdoctoral Research Associate under a project funded by EPSRC (Engineering and Physical Sciences Research Council), at the University of Glasgow, United Kingdom. He completed his Ph.D. in Material Science (Smart Textiles) from Indian Institute of Technology Delhi (IIT Delhi), India. His area of research interest includes development of nanotechnology based piezoelectric and triboelectric materials for nanogenerators as well as textile based flexible advanced materials for renewable energy harvesting. He has published numerous research articles (>25) in various reputed peer-reviewed journals. In addition, Dr. Bairagi has published and written more than 30 book chapters which have been published and submitted in different books under various publishers such as Elsevier, Wiley, Springer and so forth.
Funding Information:
This work was supported by the Engineering and Physical Science Research Council (EPSRC) through a NextGen T-TENG Standard Grant (Grant Ref: EP/V003380/1 ).
Publisher Copyright:
© 2023
PY - 2023/12/15
Y1 - 2023/12/15
N2 - 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 diligent 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 sustainable 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 understanding 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.
AB - 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 diligent 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 sustainable 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 understanding 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.
KW - Flexible triboelectric nanogenerator
KW - Renewable energy
KW - Self-powering
KW - Smart sensing
KW - Wearable electronics
UR - http://www.scopus.com/inward/record.url?scp=85173880535&partnerID=8YFLogxK
U2 - 10.1016/j.nanoen.2023.108983
DO - 10.1016/j.nanoen.2023.108983
M3 - Review article
SN - 2211-2855
VL - 118
JO - Nano Energy
JF - Nano Energy
IS - Part B
M1 - 108983
ER -