DESIGNING AND ANALYSIS OF DIFFERENT MODES OF TRIBOELECTRIC NANOGENERATOR BASED SENSORS FOR IoT

Abstract

The Triboelectric Nanogenerator (TENG) has emerged as a promising technology for harvesting mechanical energy and converting it into electrical power. By leveraging the principle of triboelectrification, where electric charges are generated through frictional forces between two dissimilar materials, TENG offers a versatile and accessible approach to energy harvesting. This abstract provides an overview of TENG, including its working principle, device configurations, and potential applications. TENG is a revolutionary technology that enables the conversion of mechanical energy into electrical power through the phenomenon of triboelectrification. By exploiting the contact and separation of two dissimilar materials, TENGs generate electric charges that can be harvested as electricity. This abstract provides a concise overview of TENG, focusing on its fundamental principles, device configurations, and potential applications. TENGs offer numerous advantages, including self powered operation, high energy conversion efficiency, and adaptability to various mechanical energy sources. They find applications in wearable electronics, IoT devices, and environmental sensors, among others, offering a sustainable and scalable approach to energy harvesting. The continued advancements in TENG technology hold great promise for addressing energy needs and powering next-generation autonomous systems and electronic devices. The voltage sensitivities of the sensor are as high as 64,000Vm-1 for contact mode and 3,00,000 Vm-1 for the freestanding mode of the TENG sensor. This paper aims to design, analyse, and evaluate three modes of Triboelectric Nanogenerators (TENGs) for their potential applications in IoT, sensors, power conservation, and power generation. The designed structures possess the capability to detect minute changes in electrode separation, even at the scale of a few millimetres. A comprehensive comparison of the properties and characteristics of these TENG modes has been conducted, including the variation of open-circuit voltage and surface charge densities for a short circuit as a function of electrode separation. Additionally, the paper highlights the TENG's ability to analyse and quantify the impact of external parameters on the separation. The findings of this study provide valuable insights into the performance and potential applications of TENGs, contributing to the advancement of energy harvesting technologies and their integration into various fields.