Operators of district heating and cooling networks face rising energy costs, CO₂ reduction targets, limited network capacity, and inefficient legacy control systems. Manual operation and static control strategies lead to high peak loads, avoidable energy losses, and underutilized infrastructure.
Yuon Control AG addresses these challenges with an AI-based software platform that enables real-time, data-driven optimization of thermal networks. Using digital twins and model predictive control, Yuon automates network operation, reduces peak loads and emissions, and improves efficiency without requiring additional hardware. The solution integrates seamlessly into existing control environments and supports scalable, future-proof energy systems.
