Designing plant experiments for real-time optimization systems

This paper presents a new profit-based criterion to design plant experiments for model-based real-time optimization (RTO) systems. Experiments are designed by maximizing expected profit over a future horizon. The objective function for designing plant experiments includes the gain in profit after reducing the offset and variability by experimentation, and loss in profit during experimentation. Therefore, large plant movement from the optimum …