Optimal control of combined sewer systems using SWMM 5.0

U. S. Rathnayake, T. T. Tanyimboh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

Combined sewer networks carry wastewater and stormwater together. Capacity limitation of these sewer networks results in combined sewer overflows (CSOs) during high-intensity storms. Untreated CSOs when directly discharged to the nearby natural water bodies cause many environmental problems. Controlling urban wastewater systems is one possible way of addressing the environmental issues from CSOs. However, controlling urban sewer systems optimally is still a challenge, when considering the receiving water quality effects. In this study, a multi-objective optimization approach was formulated considering the pollution load to the receiving water from CSOs and the cost of the wastewater treatment. The optimization model was tested using an interceptor sewer system. The results demonstrate the benefits of the multi-objective optimization approach and its potential to establish the key properties of a range of control strategies through an analysis of the various tradeoffs involved.

Original languageEnglish
Title of host publicationUrban Water
Pages87-96
Number of pages10
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event1st International Conference on the Design, Construction, Maintenance, Monitoring and Control of Urban Water Systems, UW 2012 - New Forest, United Kingdom
Duration: 25 Apr 201227 Apr 2012

Publication series

NameWIT Transactions on the Built Environment
Volume122
ISSN (Print)1743-3509

Conference

Conference1st International Conference on the Design, Construction, Maintenance, Monitoring and Control of Urban Water Systems, UW 2012
Country/TerritoryUnited Kingdom
CityNew Forest
Period25/04/1227/04/12

Keywords

  • Combined sewer overflows, effluent quality index, evolutionary computing, genetic algorithm, multi-objective optimization, combined sewer systems

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