Work

Self-Powered Triboelectricity-Driven Multiple-Input–Single-Output Occupancy Detection System Using a Triboelectric Nanogenerator for Energy Management

Year: 2024

Type: article

Abstract: An energy crisis, resulting from rapid population growth and advancements in the Internet of Things, has increased the importance of energy management strategies. Conventionally, energy management is conducted using sensors; however, additional energy is required to maintain sensor operation within these systems. Herein, an all-fiber-based triboelectric nanogenerator with O2 plasma treatment, graphene oxide/tannic acid solution coating, and hexane/1-octadecanethiol solution coating (AFT-OGH) is fabricated to implement a self-powered sensor, generating a high electrical power density, of 0.35 W/m2, with high stability. Using the AFT-OGH and inductors, self-powered wireless communication in real-time is implemented, achieving a communication distance of 180 cm. Based on these developments, a triboelectricity-driven multiple-input–single-output (T-MISO) system is demonstrated for the first time. An AFT-OGH-driven self-powered T-MISO occupancy detection system (AS-MODS) is implemented to determine the presence of a user in a specific space by developing a unique algorithm for automatically controlling LEDs using triboelectric signals. Considering these results, the proposed AS-MODS is expected to serve as a smart energy management system in the near future, owing to its great ability to control energy consumption.

Source: Polymers

DOI: 10.3390/polym17010034

Authors: Jonghyeon Yun, Daewon Kim

Institution: Kyung Hee University

Language: English

Topic: Advanced Sensor and Energy Harvesting Materials

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,069