Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/860
Title: Optimal control of combined sewer overflows
Authors: Rathnayake, U. S
Keywords: Combined sewer systems
effluent quality index
genetic algorithms
constrained evolutionary multi-objective optimization
on-line storage tanks.
Issue Date: 2021
Publisher: DAVID PUBLISHING
Series/Report no.: Journal of Civil Engineering and Architecture;Vol 15 Pages 374-381
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 existing urban sewer networks is one possible way of addressing the issues in urban wastewater systems. However, it is still a challenge, when considering the receiving water quality effects. This paper presents an evolutionary constrained multi-objective optimization approach to control the existing combined sewer networks. The control of online storage tanks was taken into account when controlling the combined sewer network. The developed multi-objective approach considers two important objectives, i.e. the pollution load to the receiving water from CSOs and the cost of the wastewater treatment. The proposed optimization algorithm is applied here to a realistic interceptor sewer system to demonstrate its effectiveness.
URI: http://localhost:80/handle/123456789/860
ISSN: 2332-1121
Appears in Collections:Research Papers - Department of Civil Engineering
Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications

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