Modelling real-time control options on virtual sewer systems

Author:

Borsányi Péter1,Benedetti Lorenzo1,Dirckx Geert2,De Keyser Webbey1,Muschalla Dirk3,Solvi Anne-Marie4,Vandenberghe Veronique1,Weyand Michael5,Vanrolleghem Peter A.6

Affiliation:

1. BIOMATH, Ghent University, Coupure Links 653, B-9000 Gent, Belgium.

2. Aquafin NV, Dijkstraat 8, 2630 Aartselaar, Belgium.

3. Section for Hydrology and Water Management, Darmstadt University of Technology, Petersenstrasse 13, D-64287 Darmstadt, Germany.

4. Resource Centre for Environmental Technologies, CRP Henri Tudor, rue de Luxembourg 66, L-4002 Esch/Alzette, Luxembourg.

5. Department of River Basin Management, Ruhrverband, Kronprinzenstraße 37, D 45128 Essen, Germany.

6. ModelEAU, Département de Génie Civil, Pavillon Pouliot, Université Laval, QC, Qc, G1K 7P4, Canada.

Abstract

The study presents a benchmarking methodology to assess the performance of sewer systems and to evaluate the performance of real-time control (RTC) strategies by model simulation. The methodology is presented as a general stepwise approach. Two virtual sewer systems were modelled under four climate conditions. Catchment A represents a small system with medium RTC potential, while catchment B represents a large system with large potential according to PASST guidelines. The rain data represented Oceanic, Continental, Alpine and Mediterranean situations. Annual precipitation data was used. Tests included operation without RTC, and with two classic RTC strategies, aiming at, respectively, equal filling of storage tanks (“average filling”), and aiming at avoiding spilling just upstream of the treatment plant (“WWTP load”). The results have shown that similar RTC strategies perform differently under various climatic conditions and in sewer systems. The presented benchmarking methodology can be used to test the impacts of various climate scenarios on sewer systems that suffer from the limitations of static design.

Publisher

Thomas Telford Ltd.

Subject

General Environmental Science,Environmental Chemistry,Environmental Engineering

Reference19 articles.

1. Introduction to the special issue on urban hydrology

2. BIOMATH. 2006. Deliverable 6.1 - Real time control in the sewer system. In TU-Dresden ed., CD4WC - Cost effective development of urban wastewater systems for Water Framework Directive compliance, Dresden, Germany, p. 57.

3. Durchschlag, A. (Editor). 1989. Bemessung von Mischwasserspeichern im Nachweisverfahren unter Berücksichtigung der Gesamtemission von Mischwasserentlastung und Kläranlagenablauf. SuG Verlagsgesellschaft, Hannover, Germany.

4. Municipal Wastewater Systems, Integrated Approach to Design, Monitoring and Control

5. ITWH. 1995. Mikrocomputer in der Stadentwässerung - Mischwasserentlastungen; Teil I: KOSIM; Programmdokumentation. Institut für technischwissenschaftliche Hydrologie, Hannover, Germany, p. Programmdokumentation.

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