Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts
Sewer network planners use control algorithms, based on optimization techniques, to control urban wastewater systems. These control algorithms have been used to ease the stress on the sewer networks and then, to reduce or to minimize the combined sewer overflows (CSOs). CSOs are not only risking hum...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
ELSEVIER
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/79148 |
| _version_ | 1848764009534193664 |
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| author | Rathnayake, U. Anwar, Faisal |
| author_facet | Rathnayake, U. Anwar, Faisal |
| author_sort | Rathnayake, U. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Sewer network planners use control algorithms, based on optimization techniques, to control urban wastewater systems. These control algorithms have been used to ease the stress on the sewer networks and then, to reduce or to minimize the combined sewer overflows (CSOs). CSOs are not only risking human health but also adversely affecting the aquatic lives. Therefore, many cities try to avoid CSOs. However, this cannot be done to the perfect level due to the capacity limitations of the existing combined sewer networks. In addition, climate variabilities have caused unpredictable precipitation increments and therefore, the control is extremely difficult. Therefore, considering the spatial and temporal variations of runoffs and qualities of stormwater generated from the precipitation, an enhanced optimal control algorithm is illustrated in this paper to control the existing combined sewer networks. Minimizing the pollution load to the receiving water and minimizing the cost of wastewater treatment and pump operation are the two objective functions in the developed optimization algorithm. The algorithm was then successfully applied to a real-world combined sewer network in Liverpool, United Kingdom. Results reveal that the developed optimal control model is capable of handling the dynamic control settings of combined sewer system to minimize the two objective functions simultaneously. With a little computational appreciation, the developed optimal control model can be well-used in the real-time control of combined sewer networks. |
| first_indexed | 2025-11-14T11:12:32Z |
| format | Journal Article |
| id | curtin-20.500.11937-79148 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:12:32Z |
| publishDate | 2019 |
| publisher | ELSEVIER |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-791482021-09-14T06:31:06Z Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts Rathnayake, U. Anwar, Faisal Science & Technology Technology Physical Sciences Engineering, Civil Geosciences, Multidisciplinary Water Resources Engineering Geology Combined sewer overflows (CSOs) Dynamic control Evolutionary algorithms Multi-objective optimization Orifice gate openings Pumping cost REAL-TIME CONTROL WEIGHTED-SUM METHOD MULTIOBJECTIVE OPTIMIZATION EVOLUTIONARY ALGORITHM CONTROL STRATEGIES GENETIC ALGORITHM DRAINAGE SYSTEMS CLIMATE-CHANGE WATER-QUALITY MODEL Sewer network planners use control algorithms, based on optimization techniques, to control urban wastewater systems. These control algorithms have been used to ease the stress on the sewer networks and then, to reduce or to minimize the combined sewer overflows (CSOs). CSOs are not only risking human health but also adversely affecting the aquatic lives. Therefore, many cities try to avoid CSOs. However, this cannot be done to the perfect level due to the capacity limitations of the existing combined sewer networks. In addition, climate variabilities have caused unpredictable precipitation increments and therefore, the control is extremely difficult. Therefore, considering the spatial and temporal variations of runoffs and qualities of stormwater generated from the precipitation, an enhanced optimal control algorithm is illustrated in this paper to control the existing combined sewer networks. Minimizing the pollution load to the receiving water and minimizing the cost of wastewater treatment and pump operation are the two objective functions in the developed optimization algorithm. The algorithm was then successfully applied to a real-world combined sewer network in Liverpool, United Kingdom. Results reveal that the developed optimal control model is capable of handling the dynamic control settings of combined sewer system to minimize the two objective functions simultaneously. With a little computational appreciation, the developed optimal control model can be well-used in the real-time control of combined sewer networks. 2019 Journal Article http://hdl.handle.net/20.500.11937/79148 10.1016/j.jhydrol.2019.124150 English ELSEVIER fulltext |
| spellingShingle | Science & Technology Technology Physical Sciences Engineering, Civil Geosciences, Multidisciplinary Water Resources Engineering Geology Combined sewer overflows (CSOs) Dynamic control Evolutionary algorithms Multi-objective optimization Orifice gate openings Pumping cost REAL-TIME CONTROL WEIGHTED-SUM METHOD MULTIOBJECTIVE OPTIMIZATION EVOLUTIONARY ALGORITHM CONTROL STRATEGIES GENETIC ALGORITHM DRAINAGE SYSTEMS CLIMATE-CHANGE WATER-QUALITY MODEL Rathnayake, U. Anwar, Faisal Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts |
| title | Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts |
| title_full | Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts |
| title_fullStr | Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts |
| title_full_unstemmed | Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts |
| title_short | Dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts |
| title_sort | dynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impacts |
| topic | Science & Technology Technology Physical Sciences Engineering, Civil Geosciences, Multidisciplinary Water Resources Engineering Geology Combined sewer overflows (CSOs) Dynamic control Evolutionary algorithms Multi-objective optimization Orifice gate openings Pumping cost REAL-TIME CONTROL WEIGHTED-SUM METHOD MULTIOBJECTIVE OPTIMIZATION EVOLUTIONARY ALGORITHM CONTROL STRATEGIES GENETIC ALGORITHM DRAINAGE SYSTEMS CLIMATE-CHANGE WATER-QUALITY MODEL |
| url | http://hdl.handle.net/20.500.11937/79148 |