Mauricio Iglesias, Miguel2; Montero-Castro, I.4; Mollerup, Ane Loft1; Sin, Gürkan5
1 Department of Chemical and Biochemical Engineering, Technical University of Denmark2 Center for Process Engineering and Technology, Department of Chemical and Biochemical Engineering, Technical University of Denmark3 Computer Aided Process Engineering Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark4 Technical University of Denmark5 Centre for oil and gas – DTU, Center, Technical University of Denmark
Self-optimising control is a useful concept to select optimal controlled variables from a set of candidate measurements in a systematic manner. In this study, use self-optimizing control tools and apply them to the specific features of sewer systems, e.g. the continuously transient dynamics, the availability of a large number of measurements, the stochastic and unforeseeable character of the disturbances (rainfall). Using a subcatchment area in the Copenhagen sewer system as a case study we demonstrate, step by step, the formulation of the self-optimising control problem. The final result is an improved control structure aimed at optimizing the losses for a given control objective, here the minimization of the combined sewer overflows despite rainfall variations.
10th Ifac International Symposium on Dynamics and Control of Process Systems, 2013, p. 708-712
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10th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS 2013)