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Modeling and optimization of granulation process of activated sludge in sequencing batch reactors

doi: 10.1002/bit.24812
pmid: 23280133
AbstractAerobic granulation is a promising process for wastewater treatment, but this granulation process is very complicated and is affected by many factors. Thus, a mathematical model to quantitatively describe such a granulation process is highly desired. In this work, by taking into account all of key steps including biomass growth, increase in particle size and density, detachment, breakage and sedimentation, an one‐dimensional mathematic model was developed to simulate the granulation process of activated sludge in a sequencing batch reactor (SBR). Discretization methodology was applied by dividing operational time, sedimentation process, size fractions and slices into discretized calculation elements. Model verification and prediction for aerobic granulation process were conducted under four different conditions. Four parameters indicative of granulation progression, including mean radius, biomass discharge ratio, total number, and bioparticle size distribution, were predicted well with the model. An optimum controlling strategy, automatically adjusted of settling time, was also proposed based on this model. Moreover, aerobic granules with a density higher than 120 g VSS/L and radius in a range of 0.4–1.0 mm were predicted to have both high settling velocity and substrate utilization rate, and the corresponding optimum operating conditions were be determined. Experimental results demonstrate that the developed model is appropriate for simulating the formation of aerobic granules in SBRs. These results are useful for designing and optimizing the cultivation and operation of aerobic granule process. Biotechnol. Bioeng. 2013; 110: 1312–1322. © 2012 Wiley Periodicals, Inc.
- Hefei University of Technology China (People's Republic of)
- University of Queensland Australia
- University of Queensland Australia
- Hefei University of Technology China (People's Republic of)
- University of Science and Technology of China China (People's Republic of)
Optimization, 660, Sewage, aerobic granulation, Models, Theoretical, Waste Disposal, Fluid, Aerobiosis, Diffusion, Bioreactors, Operating conditions, Calibration, Biomass, mathematical model, Biotechnology
Optimization, 660, Sewage, aerobic granulation, Models, Theoretical, Waste Disposal, Fluid, Aerobiosis, Diffusion, Bioreactors, Operating conditions, Calibration, Biomass, mathematical model, Biotechnology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).33 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
