Journal article
Comparison of the Modeling Approach between Membrane Bioreactor and Conventional Activated Sludge Processes
Computational Atomic-scale Materials Design, Department of Physics, Technical University of Denmark1
Department of Physics, Technical University of Denmark2
Center for BioProcess Engineering, Department of Chemical and Biochemical Engineering, Technical University of Denmark3
Department of Chemical and Biochemical Engineering, Technical University of Denmark4
Department of Environmental Engineering, Technical University of Denmark5
Activated sludge models (ASM) have been developed and largely applied in conventional activated sludge (CAS) systems. The applicability of ASM to model membrane bioreactors (MBR) and the differences in modeling approaches have not been studied in detail. A laboratory-scale MBR was modeled using ASM2d.
It was found that the ASM2d model structure can still be used for MBR modeling. There are significant differences related to ASM modeling. First, a lower maximum specific growth rate for MBR nitrifiers was estimated. Independent experiments demonstrated that this might be attributed to the inhibition effect of soluble microbial products (SMP) at elevated concentration.
Second, a greater biomass affinity to oxygen and ammonium was found, which was probably related to smaller MBR sludge flocs. Finally, the membrane throughput during membrane backwashing/relaxation can be normalized and the membrane can be modeled as a continuous flow-through point separator. This simplicity has only a minor effect on ASM simulation results; however, it significantly improved simulation speed.
Water Environ. Res., 81, 432 (2009).
Language: | English |
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Publisher: | Water Environment Federation |
Year: | 2009 |
Pages: | 432-440 |
ISSN: | 15547531 and 10614303 |
Types: | Journal article |
DOI: | 10.2175/106143008X370377 |
ORCIDs: | Sin, Gürkan |
biological nutrient removal conventional activated sludge membrane bioreactor modeling soluble microbial products
Bioreactors Calibration Membranes, Artificial Models, Theoretical Sewage