Optimization of the Seine Aval wastewater treatment plant

The Seine Aval wastewater treatment plant treats daily 1,600,000 m3 of wastewater discharged into the Seine. Its performance therefore has a major environmental impact. In this thesis, a simplified model derived from activated sludge models (ASM) is implemented in Simulink to represent the different units of the WasteWater Treatment Plant (WWTP). This model has been calibrated on the available data. It then performs an optimization of the flows between the units of the station for three typical exploitation’s conditions. This optimization uses as an objective function the Effluent Quality Index (EQI). The Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) method are tested to perform this optimization. The optimizations expose good results in a reasonable amount of time.