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

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 O<sub>2</sub> 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/m<sup>2</sup>, 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.

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Publication Details

Journal
Polymers
Published
2024-12-26
DOI
https://doi.org/10.3390/polym17010034
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.55

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article

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

Daewon Kim, Jonghyeon Yun
3 citations
Polymers
Advanced Sensor and Energy Harvesting Materials
0.55
article

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

Daewon Kim, Jonghyeon Yun
article en
3 citations

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 O<sub>2</sub> 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/m<sup>2</sup>, 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.

PolymersVol. 17(1)
Kyung Hee University (KR)
Kyung Hee University
Affordable and clean energy
Openalex Percentile: Top 35%
Advanced Sensor and Energy Harvesting Materials
0.55
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Self-Powered Triboelectricity-Driven Multiple-Input–Single-Output Occupancy Detection System Using a Triboelectric Nanogenerator for Energy Management — Daewon Kim, Jonghyeon Yun · Polymers (2024) | TGRS Research Map | TGRS