InduFlexControl aims to unlock and control the flexibility of energy-intensive processes and power-to-X technologies to optimally reduce CO2 in a way that is suited to the overall industrial and energy eco-system.
In line with the Moonshot initiative, the fundamental research challenge is the design of radically new techniques. By integrating model predictive control (MPC) and deep learning, the constraints imposed by industrial process characteristics, energy market design and the power/energy network configuration can be considered while applying industrial flex.
These techniques will also allow us to combine the best of both worlds, meaning model-based approaches for robustness and model-free/data-driven techniques to deal with the uncertainty and complex nature of energy-intensive processes. Ultimately, InduFlexControl aims to disrupt the current industrial conception by fostering the design for flexibility of energy-intensive processes.