Self-optimising control of sewer systems

Miguel Mauricio Iglesias, I. Montero-Castro, Ane Loft Mollerup, Gürkan Sin

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publication10th IFAC International Symposium on Dynamics and Control of Process Systems
EditorsR. Gudi
PublisherElsevier
Publication date2013
Pages708-712
ISBN (Print)9781629937267
Publication statusPublished - 2013
Event10th IFAC International Symposium on Dynamics and Control of Process Systems - Mumbai, India
Duration: 18 Dec 201320 Dec 2013
Conference number: 10

Conference

Conference10th IFAC International Symposium on Dynamics and Control of Process Systems
Number10
CountryIndia
CityMumbai
Period18/12/201320/12/2013
SeriesIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPart 1
Volume10
ISSN1474-6670

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