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Title:A pattern search method for improving the operation of sewer systems
Authors:S. Leirens, J.M. Giraldo, R.R. Negenborn, B. De Schutter

Conference:12th IFAC Large Scale Systems Symposium (LSS 2010)
Address:Villeneuve d'Ascq, France
Date:July 2010

Abstract:Sewer systems are large-scale systems that collect and transport stormwater and sanitary sewage out of urban areas. Sewer systems are mainly operated using pumping stations and pollutants are removed from sewage by treatment plants before water is released into the environment. When a sewer overflow occurs, e.g., caused by a strong rainfall, sewage is discharged directly into the environment without treatment. An efficient use of storage capacities and pumping stations can help to minimize the environmental pollution caused by sewer overflows. In this paper a nonlinear predictive control approach is presented to improve the operation of sewer systems. To deal with the nonlinear and non-differentiable features of the used prediction model, a pattern search method is proposed to solve the underlying optimization problem. The technique proposed is implemented on a part of the sewer system of Bogota, Columbia. Simulation results illustrate the potential of the approach.

Reference:S. Leirens, J.M. Giraldo, R.R. Negenborn, B. De Schutter. A pattern search method for improving the operation of sewer systems. In Proceedings of the 12th IFAC Large Scale Systems Symposium (LSS 2010), Villeneuve d'Ascq, France, July 2010.

BibTeX:
@inproceedings{Negenborn:10a,
  author    = {S. Leirens, J.M. Giraldo, R.R. Negenborn, 
               B. {De Schutter}},
  title     = {A pattern search method for improving the 
               operation of sewer systems},
  booktitle = {Proceedings of the 12th IFAC Large Scale Systems Symposium},
  address   = {Villeneuve d'Ascq, France},
  month     = {July},
  year      = {2010}}
Download:Corresponding technical report


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