Modelling aerobic granular sludge reactors through apparent half-saturation coefficients

Artificial Neural Networks (ANN) Approach to Modelling of Selected Nitrogen Forms Removal from Oily Wastewater in Anaerobic and Aerobic GSBR Process Phases

“…Laboratory GSBR reactor was made of reinforced polyethylene (HDPE). The air was supplied by an aerator with a capacity of 550 dm 3 •h −1 . The active volume of the reactor was 15 dm 3 .…”

“…The air was supplied by an aerator with a capacity of 550 dm 3 •h −1 . The active volume of the reactor was 15 dm 3 . The contents of the reactor were mixed using a stirrer with a rotational speed of 70 RPM.…”

“…It should be emphasized that despite numerous researches devoted to the application possibilities of aerobic granular activated sludge, attempts to model the wastewater treatment process with its use are rarely undertaken. This results from the fact that aerobic granular activated sludge technology is relatively new, hence there is a lack of sufficiently long research on objects operated in real conditions to create the basis for software describing the distribution kinetics of individual pollutants [3]. For this reason, the use of artificial neural networks can closer define activated sludge technological parameters conditioning the degradation processes of pollutants using aerobic granules.…”

An improved ASM-GDA approach to evaluate the production kinetics of loosely bound and tightly bound extracellular polymeric substances in biological phosphorus removal process

“…11 Established earlier by the International Water Association (IWA), popularly used activated sludge models (ASMs) have provided researchers and practitioners with a standardized set of the mechanism model for the biological treatment processes. [12][13][14][15] Although researches on ASMs mathematical models have contributed to increasing knowledge in the BPR eld, 16,17 the reaction mechanism by incorporating and exploring the roles of TB-EPS and LB-EPS in BPR process in ASM models were not presented in literatures. To gain a better understanding of the role of EPS in the transformation and transportation of P in a dynamic biological-treatment model, kinetics model of the formation and hydrolysis of X TB-EPS and X LB-EPS being accompanied by new model parameters (new kinetic and stoichiometric parameters) are established in an improved ASM2 in this study.…”

Artificial Neural Network (ANN) Approach to Modelling of Selected Nitrogen Forms Removal from Oily Wastewater in Anaerobic and Aerobic GSBR Process Phases

“…These substances limit gas exchange ratio of microorganisms involved in wastewater treatment processes [3]. It should be emphasized that despite numerous researches devoted to application possibilities of aerobic granular activated sludge, attempts for modeling of wastewater treatment process with its use are rarely undertaken [4] This results from fact that aerobic granular activated sludge technology is relatively new hence there is lack of sufficiently long research on objects operated in real conditions to create basis for software describing distribution kinetics of individual pollutants [5,6]. Modeling of new phenomena requires initial identification of factors influencing changes in variables set [7].…”