Krishnamoorthy, Dinesh,
Foss, Bjarne and Skogestad, Sigurd. Steady-State Real-time Optimization using
Transient Measurements.
Published in Computers and
Chemical Engineering, Vol 115, p.34-45.
Abstract:
Real-time
optimization (RTO) is an established technology, where the process economics
are optimized using rigorous steady-state models. However, a fundamental
limiting factor of current static RTO implementation is the steady-state wait
time. We propose a “hybrid” approach where the model adaptation is done using dynamic models and transient measurements and
the optimization is performed using static models. Using an oil
production network optimization as case study, we show that the Hybrid
RTO can provide similar performance to dynamic optimization in terms of convergence
rate to the optimal point, at computation times similar to static RTO. The
paper also provides some discussions on static versus dynamic optimization
problem formulations.