Structural Quality Factor of Flo‐TENG under Stochastic Wave Excitation

Triboelectric nanogenerators (TENGs) have recently emerged as a promising technology for efficient water wave energy harvesting. However, there is a paucity of clear guidance regarding the optimal designs of TENGs and their shells to achieve efficient absorption and conversion of water wave energy in real random waves. Herein, from the perspective of wave-body interaction and energy transfer, this paper proposes a structural quality factor (Q<sub>unit</sub>) for the quantitative evaluation of both the motion of floating triboelectric nanogenerator (Flo-TENG) shells and their capability to absorb and convert water wave energy efficiently. The factor is further subdivided into the amplitude structural quality factor (Q<sub>acc</sub>), which characterizes shell motion amplitude, and the frequency structural quality factor (Q<sub>f</sub>), which describes shell motion frequency. This paper systematically investigates the impact of various shell parameters such as bow shapes, curvatures, inclinations, and immersion ratios on Q<sub>acc</sub> and Q<sub>f</sub>. The findings indicate that variations in shell shape result in distinct Q<sub>unit</sub> values along different axial directions of wave propagation. These variations directly influence energy absorption efficiency in these directions. These results provide fundamental guidance for the design of high-performance Flo-TENG shells and the selection of internal energy harvesting directions to enable more efficient energy conversion.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2024-08-09
DOI
https://doi.org/10.1002/advs.202405165
Citations
14
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.58

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Quality Factor of Flo‐TENG under Stochastic Wave Excitation

Junyi Zhai, Guanlin Liu, Junrui Feng, Sheng He et al.
14 citations
Advanced Science
Advanced Sensor and Energy Harvesting Materials
2.58
article

Structural Quality Factor of Flo‐TENG under Stochastic Wave Excitation

Junyi Zhai, Guanlin Liu, Junrui Feng, Sheng He, Dongxin Guo, Lingyu Wan, Songying Li, Jiawei Li, Lixia Zhai, C.C. Chen
article en
14 citations

Abstract

Triboelectric nanogenerators (TENGs) have recently emerged as a promising technology for efficient water wave energy harvesting. However, there is a paucity of clear guidance regarding the optimal designs of TENGs and their shells to achieve efficient absorption and conversion of water wave energy in real random waves. Herein, from the perspective of wave-body interaction and energy transfer, this paper proposes a structural quality factor (Q<sub>unit</sub>) for the quantitative evaluation of both the motion of floating triboelectric nanogenerator (Flo-TENG) shells and their capability to absorb and convert water wave energy efficiently. The factor is further subdivided into the amplitude structural quality factor (Q<sub>acc</sub>), which characterizes shell motion amplitude, and the frequency structural quality factor (Q<sub>f</sub>), which describes shell motion frequency. This paper systematically investigates the impact of various shell parameters such as bow shapes, curvatures, inclinations, and immersion ratios on Q<sub>acc</sub> and Q<sub>f</sub>. The findings indicate that variations in shell shape result in distinct Q<sub>unit</sub> values along different axial directions of wave propagation. These variations directly influence energy absorption efficiency in these directions. These results provide fundamental guidance for the design of high-performance Flo-TENG shells and the selection of internal energy harvesting directions to enable more efficient energy conversion.

Advanced ScienceVol. 11(38)
Guangxi University (CN), Chinese Academy of Sciences (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 10%
Advanced Sensor and Energy Harvesting Materials
2.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.