4.8 Article

Quantifying the power output and structural figure-of-merits of triboelectric nanogenerators in a charging system starting from the Maxwell's displacement current

Journal

NANO ENERGY
Volume 59, Issue -, Pages 380-389

Publisher

ELSEVIER
DOI: 10.1016/j.nanoen.2019.02.051

Keywords

Structural figure-of-merit; Triboelectric nanogenerator; Displacement current; Power output; Charging behavior

Funding

  1. National Key R AMP
  2. D Project from Minister of Science and Technology [2016YFA0202704]
  3. National Science Foundation of China [DMR-1505319]
  4. Beijing Municipal Science AMP
  5. Technology Commission [Z171100000317001, Z171100002017017, Y3993113DF]
  6. National Natural Science Foundation of China [51432005, 5151101243, 51561145021]

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Conversion of mechanical energy into electricity using triboelectric nanogenerators (TENGs) is a rapidly expanding research area. Although the theoretical origin of TENGs has been proven using the Maxwell's displacement current (I-D), a profound quantitative understanding of its generation is not available. Moreover, a comprehensive analysis of the fundamental charging behavior of TENGs and building a standard to evaluate each TENG's unique charging characteristic are critical to ensure efficient use of them in practice. We present a thorough analysis of TENG's charging behavior through which a more complete evaluation of TENG charging is proposed by introducing the structural figure of merit (FOMCs) in a charging system (powering capacitors). The analysis is based on Maxwell's displacement current and results are verified experimentally. To achieve this, according to the distance-dependent electric field model, we provide a systematic discussion on the generation of I-D in TENGs, along with the derived analytical formula and numerical calculations. This work suggests a new way to deeply understand the nature of the I-D generated within the TENGs; and the modified FOMCs can be used to predict the charging characteristics of TENGs in an energy storage system, allowing us to utilize the TENGs more efficiently towards different applications.

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