Run-time optimisation of sewer remote control systems using genetic algorithms and multicriteria decision analysis: CSO and energy consumption reduction
Genetic algorithms and multi-criteria analysis to optimize remotely-controlled sewer networks.
Abstract
The paper proposes a real-time optimization method for remotely-controlled sewer regulation systems, applied to managing intense weather events. Through genetic algorithms and short-term water-flow forecasts, the approach simultaneously minimizes combined sewer overflows (CSO) and energy consumption, with savings of up to 32% compared to conventional solutions.
Authors
Emanuele Bonamente, Loris Francesco Termite, Alberto Garinei, Lorenzo Menculini, Marcello Marconi, Emanuele Piccioni, Lorenzo Biondi e Gianluca Rossi
Link
Publication date: 17/05/2020 Last updated: 05/10/2026 09:43