Optimization principles and the figure of merit for triboelectric generators

Jun Peng, Stephen Dongmin Kang, G. Jeffrey Snyder*

*Corresponding author for this work

Research output: Contribution to journalArticle

38 Scopus citations

Abstract

Energy harvesting with triboelectric nanogenerators is a burgeoning field, with a growing portfolio of creative application schemes attracting much interest. Although power generation capabilities and its optimization are one of the most important subjects, a satisfactory elemental model that illustrates the basic principles and sets the optimization guideline remains elusive. We use a simple model to clarify how the energy generation mechanism is electrostatic induction but with a time-varying character that makes the optimal matching for power generation more restrictive. By combining multiple parameters into dimensionless variables, we pinpoint the optimum condition with only two independent parameters, leading to predictions of the maximum limit of power density, which allows us to derive the triboelectric material and device figure of merit. We reveal the importance of optimizing device capacitance, not only load resistance, and minimizing the impact of parasitic capacitance. Optimized capacitances can lead to an overall increase in power density of more than 10 times.

Original languageEnglish (US)
Article numbereaap8576
JournalScience Advances
Volume3
Issue number12
DOIs
StatePublished - Dec 2017

ASJC Scopus subject areas

  • General

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