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Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator

handle: 10754/626081
Summary Vibration energy harvesting and sensing is a traditional and growing research field in which various working mechanisms and designs have been developed for an improved performance. Relying on a coupling effect of contact electrification and electrostatic induction, in the past 5 years, triboelectric nanogenerator (TENG) has been applied as a fundamentally new technology to revive the field of vibration energy harvesting and self-powered sensing, especially for low-frequency vibrations such as human motion, automobile, machine, and bridge vibrations. The demonstrated instantaneous energy conversion efficiency of ∼70% and a total efficiency up to 85% distinguished TENG from traditional techniques. In this article, both TENG-enabled vibration energy harvesting and self-powered active sensing are comprehensively reviewed. Moving toward future development, problems pressing for solutions and onward research directions are also posed to deliver a coherent picture.
- Beijing Institute of Nanoenergy and Nanosystems China (People's Republic of)
- Chinese Academy of Sciences China (People's Republic of)
- Chinese Academy of Sciences China (People's Republic of)
- Stanford University United States
- King Abdullah University of Science and Technology Saudi Arabia
energy harvesting, triboelectric nanogenerator, robustness, contact electrification, acoustic, biomedical monitoring, vibration, e-textiles, surface modification, self-powered sensing
energy harvesting, triboelectric nanogenerator, robustness, contact electrification, acoustic, biomedical monitoring, vibration, e-textiles, surface modification, self-powered sensing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).836 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.01% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
