钙钛矿(结构)
材料科学
光电子学
吸收(声学)
太阳能电池
平面的
光子学
光伏系统
折射率
光学
太阳能电池效率
薄膜
图层(电子)
钙钛矿太阳能电池
纳米技术
物理
化学
计算机科学
计算机图形学(图像)
复合材料
结晶学
生物
生态学
作者
Hui Zhang,Mariia Kramarenko,Johann Osmond,Johann Toudert,Jordi Martorell
出处
期刊:ACS Photonics
[American Chemical Society]
日期:2018-03-26
卷期号:5 (6): 2243-2250
被引量:54
标识
DOI:10.1021/acsphotonics.8b00099
摘要
As the efficiency of a solar cell approaches its limits, photonic considerations to further enhance its performance overtake electronic ones. It has been theoretically shown for GaAs solar cells that with the combined effects of a surface random texturing and a perfectly reflecting rear mirror, efficiencies close to the Shockley–Queisser limit can be reached, even when the absorber layer is very thin. In here, we demonstrate a method for taking advantage of surface random texturing to enhance the efficiency of planar perovskite solar cells. By naturally transferring the perovskite random nanotexturing to the back semiconductor/metal interface, where the contrast in the imaginary part of the refractive index is very large, backscattering reduces light escape from the solar cell structure. This leads to a close to optimal light absorption that allows bringing the cell efficiency from 19.3% to 19.8%. Such a path we opened toward an ergodic behavior for maximum light absorption in perovskite cells may lead to the most efficient perovskite cells ever.
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