A generic methodology for the optimisation of sewer systems using stochastic programming and self-optimizing control

Miguel Maurico-Iglesias, Ignacio Montero Castro, Ane Loft Mollerup, Gürkan Sin

Research output: Contribution to journalJournal articleResearchpeer-review

1 Downloads (Pure)

Abstract

The design of sewer system control is a complex task given the large size of the sewer networks, the transient dynamics of the water flow and the stochastic nature of rainfall. This contribution presents a generic methodology for the design of a self-optimising controller in sewer systems. Such controller is aimed at keeping the system close to the optimal performance, thanks to an optimal selection of controlled variables. The definition of an optimal performance was carried out by a two-stage optimisation (stochastic and deterministic) to take into account both the overflow during the current rain event as well as the expected overflow given the probability of a future rain event. The methodology is successfully applied to design an optimising control strategy for a subcatchment area in Copenhagen. The results are promising and expected to contribute to the advance of the operation and control problem of sewer systems.
Original languageEnglish
JournalJournal of Environmental Management
Volume155
Pages (from-to)193-203
ISSN0301-4797
DOIs
Publication statusPublished - 2015

Keywords

  • Sewer systems
  • Combined sewers overflow
  • Self-optimising control
  • Control design
  • Optimisation

Fingerprint Dive into the research topics of 'A generic methodology for the optimisation of sewer systems using stochastic programming and self-optimizing control'. Together they form a unique fingerprint.

Cite this