AI-based application for predictive power plant control for the production of synthetic fuels
Aim
The innovative bioliq® process (Biomass-to-Liquid) can be controlled through AI-applications with EDI's hybrid models. As a result, there is no need for the plant operator to know the complex simulation models to control the plant in their energy and resource optimum.
Benefit
Increase of the process output of second generation synthetic fuels (including kerosene, diesel and petrol) up to 10 %, with variable biomass in the pilot plant. So the promising process developed at the Karlsruhe Institute of Technology (KIT) contributes to sustainable and environmentally friendly mobility. Furthermore, the generic AI-based hybrid models can be adapted to other thermo-chemical processes whereby in the future SMEs can also optimize and control their processes cost-effectively.
