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Modeling a bench-scale alternating aerobic/anoxic activated sludge system for nitrogen removal using a modified ASM1
Hyunook Kim1, Soohong Noh, Mark Colosimo
1Department of Environmental Engineering, University of Seoul, Seoul, Korea. h_kim@uos.ac.kr
A modified Activated Sludge Model No. 1 (ASM1) simplifies nitrogen removal modeling in alternating aerobic-anoxic (AAA) systems. This streamlined approach accurately predicts ammonium (NH4+) and nitrate (NO3-) dynamics using basic wastewater characterization.
Area of Science:
- Environmental Engineering
- Wastewater Treatment Technologies
- Biochemical Modeling
Background:
- The Activated Sludge Model No. 1 (ASM1) is a standard for modeling wastewater treatment processes.
- Nitrogen removal in alternating aerobic-anoxic (AAA) systems requires accurate dynamic modeling.
- Conventional ASM1 can be complex due to numerous state variables and parameters.
Purpose of the Study:
- To simplify and adapt the ASM1 for modeling nitrogen dynamics in bench-scale AAA systems.
- To improve the practical applicability of ASM1 for engineers designing and operating AAA systems.
- To assess the model's predictive capability for ammonium (NH4+) and nitrate (NO3-) removal.
Main Methods:
- Modified the original ASM1 by removing inert soluble COD (S(I)) and inert particulate COD (X(I)) state variables.
- Assumed soluble COD represents readily biodegradable COD (S(S)) and particulate COD represents slowly biodegradable COD (X(S)).
- Removed alkalinity from the model due to its stability in AAA systems; adjusted kinetic parameters.
Main Results:
- The modified ASM1 reasonably predicted NH4+ and NO3- dynamics in the AAA system.
- The model accurately predicted effluent NH4+ and NO3- concentrations.
- Model simplification did not compromise predictive performance for key nitrogen species.
Conclusions:
- The simplified ASM1 provides a practical tool for engineers managing AAA systems.
- Reduced complexity enhances usability without sacrificing accuracy in predicting nitrogen removal.
- Wastewater COD characterization is sufficient for effective application of the modified model.
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