Evolutionary multi-objective optimal control of combined sewer overflows

Upaka S. Rathnayake, Tiku T. Tanyimboh

Research output: Contribution to journalArticle

26 Citations (Scopus)
100 Downloads (Pure)

Abstract

This paper presents a novel multi-objective evolutionary optimization approach for the active control of intermittent unsatisfactory discharges from combined sewer systems. The procedure proposed considers the unsteady flows and water quality in the sewers together with the wastewater treatment costs. The distinction between the portion of wastewater that receives full secondary treatment and the overall capacity of the wastewater treatment works (including storm overflow tanks) is addressed. Temporal and spatial variations in the concentrations of the primary contaminants are incorporated also. The formulation is different from previous approaches in the literature in that in addition to the wastewater treatment cost we consider at once the relative polluting effects of the various primary contaminants in wastewater. This is achieved by incorporating a measure of the overall pollution called the effluent quality index. The differences between two diametrically opposed control objectives are illustrated, i.e. the minimization of the pollution of the receiving water or, alternatively, the minimization of the wastewater treatment cost. Results are included for a realistic interceptor sewer system that show that the combination of a multi-objective genetic algorithm and a stormwater management model is effective. The genetic algorithm achieved consistently the frontier optimal control settings that, in turn, revealed the trade-offs between the wastewater treatment cost and pollution of the receiving water.
Original languageEnglish
Pages (from-to)2715–2731
Number of pages17
JournalWater Resources Management
Volume29
Issue number8
Early online date18 Mar 2015
DOIs
Publication statusPublished - 1 Jun 2015

Fingerprint

Combined sewers
Wastewater treatment
Pollution
Sewers
cost
genetic algorithm
pollution
Costs
Wastewater
Genetic algorithms
Impurities
wastewater
active control
pollutant
unsteady flow
Unsteady flow
stormwater
Water quality
Water
Effluents

Keywords

  • optimal control
  • effluent quality index
  • integrated wastewater management
  • combined sewer system
  • wastewater treatment cost
  • water pollution control
  • combined sewer overflow

Cite this

Rathnayake, Upaka S. ; Tanyimboh, Tiku T. / Evolutionary multi-objective optimal control of combined sewer overflows. In: Water Resources Management. 2015 ; Vol. 29, No. 8. pp. 2715–2731.
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Evolutionary multi-objective optimal control of combined sewer overflows. / Rathnayake, Upaka S.; Tanyimboh, Tiku T.

In: Water Resources Management, Vol. 29, No. 8, 01.06.2015, p. 2715–2731.

Research output: Contribution to journalArticle

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