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PWOC addresses the plantwide control problem integrating real-time optimization and control for optimal operation.
The complexity of the model has been selected such that it is suitable for development of real-time optimization algorithms in an economic optimizing MPC framework.
Therein, the real-time optimization (RTO) layer computes the optimal operating point based on a nonlinear steady-state model of the plant.
As for modelling, a new level in the control architecture, namely an optimizer system, is introduced which performs real-time optimization thus simplifying the low-level control and improving the overall performance.
Based on these results, the optimal control problem is reformulated allowing online implementation via dynamic real-time optimization.
Thus the reduced OPF problem is more favorable for real-time optimization.
This paper is concerned with the real-time optimization of fed-batch bioreactors with Haldane kinetics.
The complexity of these models limits their usefulness for real-time optimization and control.
The computational effort involved in the solution of real-time optimization problems can be very demanding.
Additionally, the system performs a real-time optimization in which the dispatch aims to use the water efficiently.
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A dynamic-real time optimization approach was developed for simultaneous on-line optimal experiment design and unknown parameters estimation.
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