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

• Published in: Physical chemistry chemical physics : PCCP 2023-02, Vol.25 (7), p.5869-5877
• Main Authors: Xu, Hengbin, Wang, Xiangfu
• Format: Article
• ISSN: 1463-9076; 1463-9084
• DOI: 10.1039/d2cp04953h

Controlling the photon regeneration effects in FAPbI 3 films is a noteworthy approach to improve the photovoltaic (PV) efficiency of FAPbI 3 -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 FAPbI 3 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. A new approach based on the conventional Monte Carlo method is proposed that can be used to simulate photon regeneration effects in perovskite solar cells (PSCs), screen high-efficiency PSCs and determine the values of material parameters.