Minimization of Sewage Network Overflow

We are interested in the optimal control of sewage networks. It is of high public interest to minimize the overflow of sewage onto the streets and to the natural environment that may occur during periods of heavy rain. The assumption of linear flow in a discrete time setting has proven to be adequat...

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Vydáno v:	Water resources management Ročník 28; číslo 1; s. 41 - 63
Hlavní autoři:	Joseph-Duran, Bernat, Jung, Michael N., Ocampo-Martinez, Carlos, Sager, Sebastian, Cembrano, Gabriela
Médium:	Journal Article Publikace
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.01.2014 Springer Springer Nature B.V
Témata:	Algorithms Atmospheric Sciences Automàtica i control Branch & bound algorithms Canals Civil Engineering Classificació INSPEC control theory dynamic programming nonlinear programming optimal control optimisation Author keywords: sewer network Earth and Environmental Science Earth Sciences Earth, ocean, space Engineering and environment geology. Geothermics Environment Environmental studies Exact sciences and technology Geotechnical Engineering & Applied Earth Sciences Hydraulics Hydrogeology Hydrology. Hydrogeology Hydrology/Water Resources Informàtica Linear equations linear programming Mathematical models Mixed integer MLD Natural environment Network topologies Networks nonlinear programming problems NOTA: Potser s'hauria de corregir el nom de Maria Gabriela Cembrano Gennari. Jo he preferit no duplicar l'autora Nonlinearity optimal contol Optimisation Optimization Overflow Partial differential equations Pollution, environment geology Public concern Rain Rainfall Resource management Sewage Sewer systems Water resources Water resources management Water treatment plants Àrees temàtiques de la UPC Optimal control Optimization CSO Sewer networks algorithms optimization Sewers water resource management programs networks sewage methodology
ISSN:	0920-4741, 1573-1650
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Popis
Shrnutí:	We are interested in the optimal control of sewage networks. It is of high public interest to minimize the overflow of sewage onto the streets and to the natural environment that may occur during periods of heavy rain. The assumption of linear flow in a discrete time setting has proven to be adequate for the practical control of larger systems. However, the possibility of overflow introduces a nonlinear and nondifferentiable element to the formulation, by means of a maximum of linear terms. This particular challenge can be addressed by smoothing methods that result in a nonlinear program (NLP) or by logical constraints that result in a mixed integer linear program (MILP). We discuss both approaches and present a novel tailored branch-and-bound algorithm that outperforms competing methods from the literature for a set of realistic rain scenarios.
Bibliografie:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	0920-4741 1573-1650
DOI:	10.1007/s11269-013-0468-z