Self-sustaining water-motion sensor platform for continuous monitoring of frequency and amplitude dynamics. (May 2017)

• Record Type: Journal Article
• Authors: Shin, Dongjoon; Seong, Taeho; Choi, Jaehyouk; Choi, Wonjoon
• Is Part Of: Nano energy. Volume 35(2017:May)
• Page Start: 179
• Page End: 188
• Publication Date: 2017-05
• Subjects: Self-sustaining sensor -- Energy harvesting -- CMOS -- Dynamics of water motion -- Triboelectric nanogenerator; Nanoscience -- Periodicals; Nanotechnology -- Periodicals; Nanostructured materials -- Periodicals; Power resources -- Technological innovations -- Periodicals; Nanoscience; Nanostructured materials; Nanotechnology; Power resources -- Technological innovations; Periodicals; 621.042
• DOI: 10.1016/j.nanoen.2017.03.040
• Languages: English
• ISSNs: 2211-2855

Abstract

Abstract: A self-sustaining sensor platform is a core component for Internet-of-Things and smart-grid systems. However, monitoring, processing, and displaying the minute changes of a targeted-environmental element in a real-time fashion without external power sources is challenging because of a practical difficulty of doing energy harvesting and analysis of dynamics at the same time. Here, we present a self-sustaining water-motion-sensing (SS-WMS) platform to monitor and display the time-varying dynamics of water-motion, i.e., frequency and amplitude, using only the energy harvested from the water-motion itself. A water-contact triboelectric nanogenerator (WC-TENG) produces electrical energy, correlated with the repetitive squeezing and releasing of a water droplet. The SS-WMS integrated circuit (IC) harvests the energy and simultaneously analyzes the dynamics of water-motion, which is converted into binary codes to be displayed through LEDs powered by the gathered energy. The proposed platform would contribute to advanced sensing functions of a self-sustaining system for various targeted-ambient elements. Graphical abstract: A self-sustaining water-motion-sensing platform was developed to monitor the time-varying dynamics of water-motion through 6-bit binary-weighted LEDs, using only the energy harvested from the water-motion itself. Highlights: A self-sustaining-sensing platform was developed to monitor dynamics of water motion. Time-varying frequency and amplitude of a water droplet were displayed through 6-bit binary-weighted LEDs. Electrification from water-motion was a dual-source of energy harvested and dynamics information.