发光学报, 2019, 40 (4): 484, 网络出版: 2019-06-10   

基于钙钛矿量子点荧光太阳集光器的蒙特卡洛光子追踪模拟

Monte-Carlo Ray-tracing Simulations of Perovskite Quantum Dots-based Luminescent Solar Concentrators
作者单位
宁波大学 信息科学与工程学院, 浙江 宁波 315211
摘要
传统光聚集器热效应明显、结构复杂、成本昂贵。作为替代,荧光太阳集光器具有许多显著优势并能够有效降低太阳能电池的发电成本,因此受到广泛关注。本文通过传统热注入法合成了全无机钙钛矿CsPbBr3量子点,并在此基础上设计了基于CsPbBr3量子点的荧光太阳集光原型器件。通过TEM测试和必要的光学表征,证实本文合成的CsPbBr3量子点具有典型的立方体结构、76.8%的荧光量子产率、512 nm的发光中心波长和22 nm的中心波长半高宽。此外,结合蒙特卡洛智能优化算法,建立了基于CsPbBr3量子点的荧光太阳集光器的理论计算模型,确定了全无机钙钛矿量子点最优掺杂浓度和最佳平均波长集光效率。仿真结果表明,在量子点掺杂浓度为2.1×10-5 mol/L时,最优的集光效率达到5.4%。本文提出的蒙特卡洛光子追踪模拟过程将为未来荧光太阳集光器参数设计提供科学的计算方法。
Abstract
The inevitable thermal effects, complex device structure and high manufacturing cost severely hinder the development of the conventional solar concentrators. As a type of novel solar concentrators, luminescent solar concentrator shows numerous potentials to significantly reduce the cost of solar cells and attracts much attentions. Here, the all-inorganic perovskite CsPbBr3 quantum dots are synthesized via a hot-injection approach and then the CsPbBr3-based luminescent solar concentrators are designed and fabricated. According to TEM characterization and spectroscopic measurements, the CsPbBr3 quantum dots exhibit the typical cubic structure, the quantum yield of up to 76.8%, and the PL emission at 512 nm with the FWHM of 22 nm. Further, the optimal quantum dots doping concentration and the average optical collecting efficiency are confirmed by the calculation based on Monte Carlo intelligent optimization algorithm. The optimal average collecting efficiency is 5.4% when CsPbBr3 quantum dots doping concentration is fixed at 2.1×10-5 mol/L. We anticipate this numerical simulation process based on Monte Carlo intelligent optimization algorithm will shed light on the future research for determining the characteristic parameter of luminescent solar concentrators.

束俊鹏, 汪鹏君, 张晓伟, 解凯贺, 张会红, 陈若望. 基于钙钛矿量子点荧光太阳集光器的蒙特卡洛光子追踪模拟[J]. 发光学报, 2019, 40(4): 484. SHU Jun-peng, WANG Peng-jun, ZHANG Xiao-wei, XIE Kai-he, ZHANG Hui-hong, CHEN Ruo-wang. Monte-Carlo Ray-tracing Simulations of Perovskite Quantum Dots-based Luminescent Solar Concentrators[J]. Chinese Journal of Luminescence, 2019, 40(4): 484.

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