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首页> 外文期刊>Applied Physics >Spectrum splitting using multi-layer dielectric meta-surfaces for efficient solar energy harvesting
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Spectrum splitting using multi-layer dielectric meta-surfaces for efficient solar energy harvesting

机译:使用多层介电元表面进行频谱拆分以有效收集太阳能

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摘要

We designed a high-efficiency dispersive mirror based on multi-layer dielectric meta-surfaces. By replacing the secondary mirror of a dome solar concentrator with this dispersive mirror, the solar concentrator can be converted into a spectrum-splitting photovoltaic system with higher energy harvesting efficiency and potentially lower cost. The meta-surfaces are consisted of high-index contrast gratings (HCG). The structures and parameters of the dispersive mirror (i.e. stacked HCG) are optimized based on finite-difference time-domain and rigorous coupled-wave analysis method. Our numerical study shows that the dispersive mirror can direct light with different wavelengths into different angles in the entire solar spectrum, maintaining very low energy loss. Our approach will not only improve the energy harvesting efficiency, but also lower the cost by using single junction cells instead of multi-layer tandem solar cells. Moreover, this approach has the minimal disruption to the existing solar concentrator infrastructures.
机译:我们设计了基于多层介电超表面的高效色散镜。通过用该色散镜替换圆顶太阳能集中器的辅助镜,可以将太阳能集中器转换为具有更高能量收集效率并潜在地降低成本的分光光伏系统。元表面由高折射率对比光栅(HCG)组成。基于有限差分时域和严格的耦合波分析方法优化了色散镜(即堆叠HCG)的结构和参数。我们的数值研究表明,色散镜可以将具有不同波长的光引导到整个太阳光谱中的不同角度,从而保持非常低的能量损耗。我们的方法不仅可以提高能量收集效率,而且可以通过使用单结电池代替多层串联太阳能电池来降低成本。而且,这种方法对现有的太阳能集中器基础设施的破坏最小。

著录项

  • 来源
    《Applied Physics》 |2014年第3期|713-719|共7页
  • 作者

    Yuhan Yao; He Liu; Wei Wu;

  • 作者单位

    Department of Elecrical Engineering, University of Southern California, Los Angeles, USA;

    Department of Elecrical Engineering, University of Southern California, Los Angeles, USA;

    Department of Elecrical Engineering, University of Southern California, Los Angeles, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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