DDPTX: Deciphering the Dynamics of Power-to-X Systems

This project brings innovation to Power-to-X (PtX) systems, crucial for converting electricity into diverse forms of energy. The project aims to create a model integrating renewable energy, grid, hydrogen, and heating systems, focusing on improving electrolyzer efficiency and PtX economics using innovative business models. It employs Artificial Intelligence to enhance decision-making in complex PtX systems. The grant will support the recruitment of two Ph.D. students, two postdocs, and equipment.