Hybrid 3D Finite difference time domain-Monte Carlo ray tracing (FDTD-MCRT) algorithm has been developed to model and optimise small and large scale plasmonically-enhanced luminescent solar concentrator (pLSC) devices for photovoltaic (PV) applications. The configuration parameters (for example, dimensions, shape, and optical properties of metal nanoparticles, luminescent species, and host material) were used to characterise the probability of optical energy transfer and loss processes, as well as reflection, refraction, absorption, emission enhancement, and total internal reflection (TIR) in the pLSC. The algorithm was validated through modelling of various doping concentrations of CdSe/ZnS quantum dots (QD) and gold nano spheres (Au NS) where ∼50% enhancement in optical conversion efficiency (OCE) was observed for a plasmonic composite of 2 ppm Au NS and 0.008 wt. % QD.

中文翻译：

---

用于光伏应用的小型和大型等离激元增强型发光太阳能聚光器：建模，优化和灵敏度分析

已经开发了混合3D时域有限差分蒙特卡罗射线追踪（FDTD-MCRT）算法，以建模和优化用于光伏（PV）应用的小型和大型等离激元增强型发光太阳能聚光器（pLSC）设备。配置参数（例如，金属纳米粒子，发光物质和主体材料的尺寸，形状和光学特性）用于表征光能转移和损失过程以及反射，折射，吸收，发射增强的概率，以及pLSC中的全内反射（TIR）。通过对各种掺杂浓度的CdSe / ZnS量子点（QD）和金纳米球（Au NS）进行建模验证了该算法，其中对2 ppm Au NS的等离子体复合物观察到了约50％的光学转换效率（OCE）增强。和0.008wt。％QD。