APPLYING MONTE CARLO SIMULATIONS TO OPTIMIZE DYE-SENSITIZED SOLAR CELL EFFICIENCY: A STATISTICAL APPROACH USING MATLAB

Abstract

The paper investigates the use of the Monte Carlo Method in Dye-Sensitized Solar Cells (DSSCs), emphasising the use of simulations to address uncertainties and performance variations. The technique, which use random sampling, allows researchers to simulate the efficiency of DSSCs under several environmental conditions, including light intensity, temperature, and humidity, as well as manufacturing parameters. The methodology also helps with risk analysis, process optimisation, and cost assessment. The MATLAB-based simulation allows for the prediction of cell durability and dependability, which informs material selection and design improvements. The findings improve the performance and adaptability of DSSCs in a variety of situations, increasing their energy efficiency and competitiveness.