What is Real-Time Optimization (RTO) and how does it interact with advanced control?

RTO optimizes plant operation at steady state to maximize economics while satisfying constraints. Typical hierarchy: RTO (minutes-hours) provides optimized setpoints to MPC (seconds-minutes), MPC drives regulatory control. RTO uses rigorous steady-state process model, updates with plant data, runs optimizer (LP, NLP, or MINLP) with economic objective. Challenges: model accuracy, steady-state detection, constraint handling coordination with MPC, and computational time. Benefits: operates at profitable constraints, adjusts to price changes, maximizes throughput. Requires good basic control, validated models, and engineer support.