Scholarlink

<p>We present a triboelectric nanogenerator model for conversion of mechanical vibrations into electrical energy. Our model operating in lateral sliding mode (LS mode TENG) with a high energy efficiency of about 80% by using a switch in series with the load resistor, which opens and closes in synchrony with the movement of the mobile electrode. The model exploits the coupling of sliding electrification and charge separation processes, where lateral charge separation occurs due to the periodic variation of the contact area between two surfaces. Unlike conventional designs, this sliding mode eliminates the need for an air gap, making it more advantageous for TENG operation. This LS mode TENG design enables highly efficient instantaneous conversion of mechanical energy into electrical energy. Our research is driving the development of innovative energy harvesting technologies with promising applications in wearable electronics, self-powered sensors and other emerging energy-autonomous systems.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

High-energy efficiency of sliding triboelectric nanogenerators for mechanical energy conversion

  • 期刊论文

  • 发表日期：

    2025年3月11日

查看全文
  • Samir Chatbouri,
  • Khaldi Wassim,
  • Jean-Marie Alan

摘要

We present a triboelectric nanogenerator model for conversion of mechanical vibrations into electrical energy. Our model operating in lateral sliding mode (LS mode TENG) with a high energy efficiency of about 80% by using a switch in series with the load resistor, which opens and closes in synchrony with the movement of the mobile electrode. The model exploits the coupling of sliding electrification and charge separation processes, where lateral charge separation occurs due to the periodic variation of the contact area between two surfaces. Unlike conventional designs, this sliding mode eliminates the need for an air gap, making it more advantageous for TENG operation. This LS mode TENG design enables highly efficient instantaneous conversion of mechanical energy into electrical energy. Our research is driving the development of innovative energy harvesting technologies with promising applications in wearable electronics, self-powered sensors and other emerging energy-autonomous systems.