Optimization of A2O BNR Processes Using ASM and EAWAG Bio‐P Models: Model Performance. (1st December 2013)

• Record Type: Journal Article
• Authors: El Shorbagy, Walid E.; Radif, Nawras N.; Droste, Ronald L.
• Is Part Of: Water environment research. Volume 85:Number 12(2013)
• Page Start: 2271
• Page End: 2284
• Publication Date: 2013-12-01
• Subjects: optimization -- ASM -- activated sludge model -- EAWAG Bio‐P -- A2O BNR -- anaerobic‐anoxic‐oxic biological nutrient removal system -- modeling; Water quality management -- Periodicals; Water -- Purification -- Periodicals; Water -- Pollution -- Periodicals; Water -- Pollution; Water -- Purification; Water quality management; Sewage; Water Pollution; Periodicals; Electronic journals; Periodicals; 628.16
• DOI: 10.2175/106143013X13596524517102
• Languages: English
• ISSNs: 1061-4303

Abstract

ABSTRACT: : This paper presents the performance of an optimization model for a biological nutrient removal (BNR) system using the anaerobic‐anoxic‐oxic (A 2 O) process. The formulated model simulates removal of organics, nitrogen, and phosphorus using a reduced International Water Association (IWA) Activated Sludge Model #3 (ASM3) model and a Swiss Federal Institute for Environmental Science and Technology (EAWAG) Bio‐P module. Optimal sizing is attained considering capital and operational costs. Process performance is evaluated against the effect of influent conditions, effluent limits, and selected parameters of various optimal solutions with the following results: an increase of influent temperature from 10 °C to 25 °C decreases the annual cost by about 8.5%, an increase of influent flow from 500 to 2500 m 3 /h triples the annual cost, the A 2 O BNR system is more sensitive to variations in influent ammonia than phosphorus concentration and the maximum growth rate of autotrophic biomass was the most sensitive kinetic parameter in the optimization model.