Modeling Monte Carlo simulation on photon regeneration effects of perovskite FAPbI3 for photovoltaic applications

Abstract

Controlling the photon regeneration effects in FAPbI₃ films is a noteworthy approach to improve the photovoltaic (PV) efficiency of FAPbI₃-based solar cells. However, the lack of systematic study on the relationship between photon regeneration effects and PV efficiency in the experimental process makes it difficult to control the photon regeneration effects effectively. In this work, we combine the Monte Carlo sampling method and the polar coordinate calculation method to design a new algorithm for a detailed simulation of the main processes of photon regeneration effects affecting the PV efficiency in a model based on an n–i–p type FAPbI₃ perovskite solar cell (PSC). The algorithm is validated to be used to compare the power-conversion efficiency (PCE) of different PSCs to filter out the PSC structure with the highest PCE or to determine the range of material parameter values corresponding to the highest PCE. This work opens up new ideas to effectively control the photon regeneration effects in PSCs to improve the device PV efficiency.