Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/870
Title: Static optimal control of combined sewer networks under enhanced cost functions to minimize the adverse environmental effects
Authors: Rathnayake, U. S
Keywords: receiving water quality
Multi-objective Optimization
Combined Sewer Networks
enhanced
genetic algorithms
Static optimal control
adverse environmental effects
Issue Date: 8-Nov-2018
Publisher: Taylor & Francis
Citation: Upaka Rathnayake (2021) Static optimal control of combined sewer networks under enhanced cost functions to minimize the adverse environmental effects, ISH Journal of Hydraulic Engineering, 27:2, 210-223, DOI: 10.1080/09715010.2018.1541765
Series/Report no.: ISH Journal of Hydraulic Engineering;Pages 1-15
Abstract: Capacity limitations of combined sewer systems lead overflows (CSOs) especially under intensified rain events. The socio-economic damage due to these CSOs on receiving water is immeasurable. Structural measures include enhancing the existing pipe network and introducing new sewer systems lead extra burden on the inhabitants due to new constructions. In addition, the taxpayers have to bear the construction cost. Optimal control of existing combined sewer systems is one of the non-structural solutions in minimizing the adverse impacts of CSOs; however, a holistic control algorithm based on water quality of the receiving water is yet to be developed. This paper develops an enhanced control algorithm based on the pollution load to the receiving water from CSOs. Unlike the previous studies, this paper looks at an enhanced cost function for one of the objective functions, which includes the pumping cost of combined sewer network. The control algorithm is generic; however, it is tested against a real world combined sewer network in Liverpool, United Kingdom. Optimal control settings of the combined sewer systems are found and further analysis shows that algorithm gives feasible solutions. Therefore, the results have proved the applicability of the newly developed optimization algorithm in control of combined sewer systems.
URI: http://localhost:80/handle/123456789/870
ISSN: 09715010
Appears in Collections:Department of Civil Engineering-Scopes
Research Papers - Department of Civil Engineering
Research Papers - SLIIT Staff Publications

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