Proceedings of 13th Conference on Hybrid and Organic Photovoltaics (HOPV21)
Publication date: 11th May 2021
Photo-electrochemical (PEC) cells are an important application for energy storage via water splitting. To make them attractive for industrial use, they need to be up-scaled to achieve higher energy efficiency. For this purpose experiments with different PEC cell prototypes are performed. Metal oxide electrodes of different sizes and shapes are tested as well as cell tank geometries to evaluate surface reactions and photocurrent output depending on these variations. The aim is to design a computer-aided reference model by testing series of cell sizes and shapes time and cost-efficiently fabricated via 3D printing. The developing process of this reference model is supported by machine learning tools to meet the optimum approximation model according to the test cells. Experimental and computational results are presented herein.