Pengaruh Nilai Efek Ketebalan Transporting Layer Pada Perovskite CsFAPbIxBr3-x Terhadap Kinerjanya Sebagai Photovoltaics Dengan Metode Simulasi MATLAB

Abstract

Sunlight is an energy source that has many benefits for living things. In Indonesia itself, the use of the sun as an energy source is still not optimal. Even though it is located on the equator, this country has the potential to absorb sunlight and become a source of energy. One way to utilize the intensity of sunlight is by measuring a device that converts sunlight into electrical energy, called a solar panel. Solar panels are influenced by a number of environmental conditions where the solar panels are placed, such as sunlight intensity, temperature, sunlight spectrum, and direction of sunlight. Matlab is software that uses a matrix basis in its use. The matrices used in Matlab are quite simple so they are easy to use. The use of Matlab, like matrices, is of course closely related to the fields of mathematics and computer science. Many different mathematical problems can be solved easily using Maltab and the field of computer science. In this research, a simulation was carried out using the Transfer Matrix method. This research aims to determine the thickness optimization of the main material CsFAPbIxBr3-x and layers such as (FTO, TiO2, CuSCN, and Ag), and compare ETL materials such as (TiO2, ZnO, PCBM), while HTL such as (CuSCN, NiOx, Cu2O). Then determine the values of Short-Circuit Current Density (Jsc), data absorption, parasitic_abs, transmission, and reflection. The simulation was carried out with MATLAB R2021a software and used the transfer matrix method. This method is used to find the values of the independent and dependent variables. And the wavelength used is around 470 nm to 800 nm, and varies the thickness from 50 nm to 1000 nm. The optimum thickness of the main material CsFAPbIxBr3-x based on the transfer matrix method using MATLAB simulation is obtained at 1000 nm, while for the thickness of other materials such as FTO, TiO2, CuSCN, and Ag using the repetitive transfer matrix method obtained optimum thicknesses at 50 nm, 40 nm, 60 nm, and 500 nm based on the largest Jsc value.