首页> 外文会议>2012 38th IEEE Photovoltaic Specialists Conference. >Lithographically-definable solar cell random reflector using genetic algorithm optimization
【24h】

Lithographically-definable solar cell random reflector using genetic algorithm optimization

机译:使用遗传算法优化的可光刻定义的太阳能电池随机反射器

获取原文
获取原文并翻译 | 示例

摘要

Randomly textured Lambertian surface provides broad band cosine emission and thus is suitable for photovoltaic application. Nonetheless, variation of efficiency and non-optimized nature of randomly textured devices are undesirable. Here it is shown that using genetic algorithm, a 4×4 binary quasi-random grating can provide 23% higher absorption than 2D periodic grating and 103.5% higher than planar cells, approaching Lambertian limit. The improvement is attributed to broad band transmission for high energy photon and broad band waveguiding effect for low energy photons. Large scale fully-optimized binary grating can potentially surpass Lambertian limit due to its optimized nature and should be employed for future thin-film photovoltaic devices to reduce film thickness and cost.
机译:随机织构的朗伯表面可提供宽带余弦发射,因此适用于光伏应用。但是,不希望有效率变化和随机纹理化设备的非优化性质。在这里表明,使用遗传算法,一个4×4二元准随机光栅可以提供比2D周期光栅高23%的吸收,比平面单元高103.5%的吸收率,接近Lambertian极限。改善归因于高能光子的宽带传输和低能光子的宽带波导效应。大型的完全优化的二元光栅由于其优化的特性而有可能超过朗伯极限,因此应在未来的薄膜光伏器件中使用,以降低薄膜厚度和成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号