Optimization of critical input parameters for dye-sensitized solar cells (DSSCs) to achieve high efficiency

The objective of this study is to maximize the efficiency of a dye-sensitized solar cell (DSSC) by using the desirability function approach to optimize the most critical input parameters. The study methodology involved selecting and conducting experiments using critical input variables such as the thickness of the titanium dioxide (TiO2) layer and electrolyte concentration. Response Surface Methodology (RSM) was used to identify the most beneficial combination of input variables. Commercial-grade titanium dioxide nanoparticles, conventional electrolyte solutions, and typical dye compositions commonly employed in DSSC research were used. The result was presented in a visual format to effectively illustrate the optimized design space, highlighting the enhancements in output responses such as short-circuit current, open-circuit voltage, fill factor, and overall efficiency. Additional studies have confirmed the validity of the values, showcasing their effectiveness and reliability. This systematic approach significantly contributes to sustainability by providing insights into optimizing DSSC’s performance.