A Review on the Progress in Core‐Spun Yarns (CSYs) Based Textile TENGs for Real‐Time Energy Generation, Capture and Sensing

Abstract This review is a critical analysis of the current state‐of‐the‐art in core spun yarn textile triboelectric nanogenerators (CSY‐T‐TENGs) for self‐powered smart sensing applications. The rapid expansion of wireless communication, flexible conductive materials, and wearable electronics over th...

Full description

Bibliographic Details
Main Authors: Akshaya Kumar Aliyana, George Stylios
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Advanced Science
Subjects:
Online Access:https://doi.org/10.1002/advs.202304232
Description
Summary:Abstract This review is a critical analysis of the current state‐of‐the‐art in core spun yarn textile triboelectric nanogenerators (CSY‐T‐TENGs) for self‐powered smart sensing applications. The rapid expansion of wireless communication, flexible conductive materials, and wearable electronics over the last ten years is now demanding autonomous energy, which has created a new research space in the field of wearable T‐TENGs. Current research is exploring T‐TENGs made from CSYs as stable and reliable energy harvesters and sensing devices for modern wearable IoT platforms. CSY‐TENGs are emerging as an important technology due to its simple structure, low cost, and excellent performance in converting mechanical energy into electrical energy and due to its sensing ability. This paper provides a critical review on current progress, it analyzes the unique advantages of CSYs T‐TENGs over conventional T‐TENGs, it describes fabrication techniques and discusses the materials used along with their properties and electrical performance characteristics, and it highlights the recent advancements in their integration with self‐excitation circuits, charge storage devices and IoT‐enabled smart sensing applications, such as environmental and health monitoring. In the conclusion, it discusses the challenges and future directions of CSYs T‐TENGs and it provides a future road map for optimization, upscaling, and commercialization of the technology.
ISSN:2198-3844