Run-time optimisation of sewer remote control systems using genetic algorithms and multi-criteria decision analysis: CSO and energy consumption reduction

A new approach for sewer regulation with remote-control systems in case of intense meteorological events is presented. A run-time multi-objective decision method was developed and applied to a case study with the aim of minimising water overflow and electric energy consumption of the upstream water...

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Vydáno v:Civil engineering and environmental systems Ročník 37; číslo 1-2; s. 62 - 79
Hlavní autoři: Bonamente, Emanuele, Termite, Loris Francesco, Garinei, Alberto, Menculini, Lorenzo, Marconi, Marcello, Piccioni, Emanuele, Biondi, Lorenzo, Rossi, Gianluca
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basingstoke Taylor & Francis 02.04.2020
Taylor & Francis Ltd
Témata:
Adaptation
Algorithms
Combined sewer overflows
Control systems
Decision analysis
Energy
Energy conservation
Energy consumption
Genetic algorithms
Genetic analysis
Layouts
multi-criteria decision analysis
Multiple criterion
Multiple objective analysis
optimisation-based control
Optimization
Outflow
Overflow
Reduction
Reliability aspects
Remote control
Sensitivity analysis
Sewer systems
Stability
Wastewater treatment
Wastewater treatment plants
Water discharge
Water flow
water resource sustainability
ISSN:1028-6608, 1029-0249
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Shrnutí:A new approach for sewer regulation with remote-control systems in case of intense meteorological events is presented. A run-time multi-objective decision method was developed and applied to a case study with the aim of minimising water overflow and electric energy consumption of the upstream water collection system of a wastewater treatment plant. Strategy optimisation makes use of genetic algorithms and short-time predictions of water flows into the sewer system. The ability to efficiently optimise the system controllable parameters even for lags as short as 30 guarantees flexibility, prompt adaptation to changing conditions and reliability. With respect to a conventional approach, energy savings up to 32% can be reached using the proposed run-time optimisation at the price of increasing the total combined sewer overflow of approx. 10%. With respect to the basic system layout, installing an additional buffer tank for most intense rain events can guarantee a 7% reduction of the water outflow and a 36% reduction of the energy consumption. The sensitivity analysis, performed on different layouts, shows no evidence for preferring time horizons for water discharge predictions longer than 90 min.
Bibliografie:ObjectType-Article-1
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ISSN:1028-6608
1029-0249
DOI:10.1080/10286608.2020.1771701