title: A generic methodology for the optimisation of sewer systems using stochastic programming and self-optimizing control.
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.
authors.affiliation: CAPEC-PROCESS, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, Søltofts Plads, 2800 Lyngby, Denmark.
authors.forename: Miguel
authors.initials: M
authors.lastname: Mauricio-Iglesias
authors.affiliation: CAPEC-PROCESS, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, Søltofts Plads, 2800 Lyngby, Denmark.
authors.forename: Ignacio
authors.initials: I
authors.lastname: Montero-Castro
authors.affiliation: CAPEC-PROCESS, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, Søltofts Plads, 2800 Lyngby, Denmark; HOFOR, Orestads Boulevard, 35, 2300 Copenhagen, Denmark.
authors.forename: Ane L
authors.initials: AL
authors.lastname: Mollerup
authors.affiliation: CAPEC-PROCESS, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, Søltofts Plads, 2800 Lyngby, Denmark. Electronic address: gsi@kt.dtu.dk.
authors.forename: Gürkan
authors.initials: G
authors.lastname: Sin
mesh_terms: D002958:City Planning; D003657:Decision Making; D006801:Humans; D008962:Models, Theoretical; D011891:Rain; D012722:Sewage; D014872:Water Movements
chemical_list: D012722:Sewage
keywords: Combined sewers overflow; Control design; Optimisation; Self-optimising control; Sewer systems