Optimisation potential for a SBR plant based upon integrated modelling for dry and wet weather conditions

摘要

Integrated dynamic simulation analysis of a full-scale municipal sequential batch reactor (SBR)nwastewater treatment plant (WWTP) was performed using the KOSMO pollution load simulationnmodel for the combined sewer system (CSS) and the ASM3+ EAWAG-BioP model for the WWTP.nVarious optimising strategies for dry and storm weather conditions were developed to raise thenpurification and hydraulic performance and to reduce operation costs based on simulation studiesnwith the calibrated WWTP model. The implementation of some strategies on the plant lednto lower effluent values and an average annual saving of 49,000 e including sewage tax, whichnis 22% of the total running costs. Dynamic simulation analysis of CSS for an increased WWTPninfluent over a period of one year showed high potentials for reducing combined sewer overflown(CSO) volume by 18–27% and CSO loads for COD by 22%, NH4-N and Ptotal by 33%. In addition,nthe SBR WWTP could easily handle much higher influents without exceeding the monitoringnvalues. During the integrated simulation of representative storm events, the total emission loadnfor COD dropped to 90%, the sewer system emitted 47% less, whereas the pollution load in thenWWTP effluent increased to only 14% with 2% higher running costs.