Twin Digital of Chlor-Alkali Electrolyzer

The goal of this project is to design a fault detection system for a large scale petrochemical company’s electrolyzer system. To achieve this goal, a scaled-down version of the electrolyzer system is designed and manufactured. During this process, technical and theoretical knowledge of the system is gained. The prototype will undergo several experiments. This experimental data along with the theoretical knowledge is used to design the fault detection system with the help of machine learning algorithms