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

Abstract

Integrated dynamic simulation analysis of a full-scale municipal sequential batch reactor (SBR) wastewater treatment plant (WWTP) was performed using the KOSMO pollution load simulation model for the combined sewer system (CSS) and the ASM3 + EAWAG-BioP model for the WWTP. Various optimising strategies for dry and storm weather conditions were developed to raise the purification and hydraulic performance and to reduce operation costs based on simulation studies with the calibrated WWTP model. The implementation of some strategies on the plant led to lower effluent values and an average annual saving of 49,000 euro including sewage tax, which is 22% of the total running costs. Dynamic simulation analysis of CSS for an increased WWTP influent over a period of one year showed high potentials for reducing combined sewer overflow (CSO) volume by 18-27% and CSO loads for COD by 22%, NH(4)-N and P(total) by 33%. In addition, the SBR WWTP could easily handle much higher influents without exceeding the monitoring values. During the integrated simulation of representative storm events, the total emission load for COD dropped to 90%, the sewer system emitted 47% less, whereas the pollution load in the WWTP effluent increased to only 14% with 2% higher running costs.

Special automation and regulation strategies for enhancing sequencing batch reactor (SBR) performances

“…Five DIC-SBR plants were investigated using different models for the purposes of dynamic simulation (Rö nner- Holm et al 2006Holm et al , 2009Rö nner-Holm & Holm 2008). First, the ASM1 model was used (Rö nner- Holm et al 2006 Rö nner- Holm et al 2009).…”

“…First, the ASM1 model was used (Rö nner- Holm et al 2006 Rö nner- Holm et al 2009). This combined model additionally allowed simulation of the storage of carbohydrate …”