Model evaluation and optimisation of nutrient removal potential for sequencing batch reactors

Abstract

Performance of sequencing batch reactors for simultaneous nitrogen and phosphorus removal is evaluated by means of model simulation, using the activated sludge model, ASM2d, involving anoxic phosphorus uptake, recently proposed by the IAWQ Task group. The evaluation includes all major process configurations with different aerobic, anoxic, anaerobic sequences, and fill conditions. Basic relationships between modelling and design based on overall process stoichiometry are established for the interpretation of nutrient profiles associated with different operation modes. A similar approach is also used for the assessment of the effect of major operating parameters on system performance.

Experimental evaluation and model assessment of coexistence of PAOs and GAOs

“…[26] Consequently, the evaluation in this study utilized the experimental data derived from two laboratoryscale SBR systems performing EBPR in different laboratories. The SBR operations included four runs each sustained with different COD/P ratios in the range of 6.5-25.9 mg COD/mg P. The selected range covered extreme feeding conditions both with phosphorus limitation and excess phosphorus with respect to available organic carbon level.…”

Dynamic model development and validation for a nitrifying moving bed biofilter: Effect of temperature and influent load on the performance

“…1, the wastewater to be treated is fed into the cylindrical reactor via a feed pipe (1), a supply pipe (2), and distribution arms (3). It then moves upward through a sand bed (4) in which suspended solids and ammonia are removed. The filtrate is discharged into the upper part of the filter (5), whereas the sand particles, which contain a biofilm, move down gravitationally.…”

“…developing optimal operational strategies [3,4,5,20]), upgrade of existing Wastewater Treatment Plants (WWTPs) with Membrane BioReactor (MBR) technology [6], storm water tank storage to avoid hydraulic overloading of the plant and bioaugmentation or advanced nitrogen removal process to decrease nitrogen load coming from sludge digestion [7]. Although the abovementioned alternatives may be successful and feasible to some extent (not all treatment plants may be suitable for such alternatives), ensuring a reliable ammonia removal down to 1-2 mg N/l will remain a particularly challenging task for some other plants.…”

Simulation and Activated Sludge Model-Based Iterative Learning Control for a Sequencing Batch Reactor

“…There are many ways to control the optimal operation of SBR: control of DO using on-line inexpensive sensors, control of pH and oxidation reduction potential (ORP) (Chang and Hao, 1996;Cohen et al, 2003;Azwar et al, 2006), and modelbased optimization using activated sludge models (ASMs) (Demuynck et al, 1994;Andreson et al, 2000;Kim et al, 2000Kim et al, , 2001aKim et al, , 2001bMikosz et al, 2001;Artan et al, 2002;Sin et al, 2004;Buitron et al, 2005). Model-based optimization is known to be advantageous because defining optimal control and then evaluating several control strategies is quite easier than using an online sensor.…”