Easy Access to Typical Multidimensional Process/Optical/Electrical Simulations for Solar Cells by Tuning 11 Variables |
Fa-Jun Ma1, Shaozhou Wang1, Chuqi Yi1, Lang Zhou2, Ziv Hameiri1, Stephen Bremner1, Xiaojing Hao1 1Australia Centre for Advanced Photovoltaics, School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, Sydney, --, Australia /2Institute of Photovoltaics, Nanchang University, Nanchang, --, China |
Based on our fifteen-year experience in numerical simulations of various solar cells, we have recently published an article about ten common simulation steps intrinsic to typical electrical and optical device simulations. We have developed an open-source framework, UniSolar, to streamline numerical simulations with commercial software packages like Sentaurus by just editing ten sets of respective variables that include all the necessary information for these steps. We have demonstrated that multidimensional optical and electrical simulations for heterojunction solar cells can be easily carried out without in-depth knowledge of Sentaurus. To further enhance the capability of UniSolar, typical process simulations are also integrated into our framework and process sequences are well represented by one set of variables. In this work, we will present multidimensional process, optical and electrical simulations of a TOPCon solar cell with 11 sets of variables. To accurately model the light trapping effect of random upright pyramids, 150 pyramids of dynamic base centers and heights are created within a surface area of 5´5 µm2. To account for optical losses due to free-carrier absorption, process sequences to form a boron emitter of 90 Ω/sq on the planar surface are applied to the pyramidal surface to diffuse the corresponding emitter. The process sequences encompass three process steps: boron-doped oxide deposition, boron diffusion process, and oxide strip. Reasonable agreements for quantum efficiency and light current density – voltage measurements are achieved by employing state-of-the-art models and tuning interface recombination parameters. This work indicates that multidimensional processes and optical and electrical simulations are easily accessible due to the comprehensive framework design in UniSolar. Additionally, fitting measurement curves is also easy by appending multiple shorthand representations to a variable. Our powerful framework embraces global collaboration within the photovoltaic community and could be used to generate an extensive dataset for low-cost artificial intelligence training. |