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Dynamic Real-Time Optimization

Real-time optimization (RTO) involves the adjustment of plant operating conditions to track the economic optimum which may shift with time due to external disturbances as well as changing plant parameters. Process plants operate in an increasingly dynamic environment due to variation in demand, raw material quality, and utility prices, leading to exploration of the use of dynamic models in RTO. Our key contribution in this area has been the development of a novel dynamic RTO (DRTO) formulation that accounts for the effects of an underlying constrained model predictive control (MPC) system on the predicted plant response, and its extension for coordination of multiple MPC systems in a distributed MPC architecture. The strategy has recently been extended to include production scheduling decisions ‐ this results in production scheduling decisions in which the dynamics of transitions as well as the actions of the underlying control system are taken into account.

Dr. Chris L. E. Swartz
Professor and Director, MACC
Dr. Prashant Mhaskar
Professor and Canada Research Chair in Nonlinear and Fault-Tolerant Control
Lloyd Mackinnon
Ph.D. Candidate
Dynamic real-time optimization of distributed MPC systems using rigorous closed-loop prediction
Computers & Chemical Engineering, 122 356-371 (2019)  -  [ Publisher Version ]
Approximation techniques for dynamic real-time optimization (DRTO) of distributed MPC systems
Computers & Chemical Engineering, 118 195-209 (2018)  -  [ Publisher Version ]
Real-Time Dynamic Optimization-Based Advisory System for Electric Arc Furnace Operation
Industrial & Engineering Chemistry Research, 57 (39) 13177-13190 (2018)  -  [ Publisher Version ]
Dynamic real‐time optimization with closed‐loop prediction
AIChE Journal, 63 (9) 3896-3911 (2017)  -  [ Publisher Version ]
Real-time optimization and control of an industrial Ethylbenzene Dehydrogenation process
Wang, X.Mahalec, V., Zhi, Li, Qian, Feng
Chemical Engineering Transactions, 61 331-336 (2017)  -  [ Publisher Version ]
Coordination of distributed MPC systems through dynamic real-time optimization with closed-loop prediction
Computer Aided Chemical Engineering, 40 1603-1608 (2017)  -  [ Publisher Version ]
Globally optimal dynamic real time optimization without model mismatch between optimization and control layer
Wang, X.Mahalec, V., Qian, Feng
Computers & Chemical Engineering, 104 64-75 (2017)  -  [ Publisher Version ]
Approximation of closed-loop prediction for dynamic real-time optimization calculations
Computers & Chemical Engineering, 103 23-38 (2017)  -  [ Publisher Version ]
Coordination of Distributed MPC Systems via Dynamic Real-time Optimization
IFAC-PapersOnline, 50 (1) 6184-6189 (2017)  -  [ Publisher Version ]
The utilization of closed‐loop prediction for dynamic real‐time optimization
The Canadian Journal of Chemical Engineering, 95 (10) 1968-1978 (2017)  -  [ Publisher Version ]