Influence of cycle time on kinetic behaviors of steady-state aerobic granules in sequencing batch reactors

Liu, Yong-Qiang and Tay, Joo-Hwa (2007) Influence of cycle time on kinetic behaviors of steady-state aerobic granules in sequencing batch reactors. Enzyme and Microbial Technology, 41 (4), 516-522. (doi:10.1016/j.enzmictec.2007.04.005).

Abstract

To investigate kinetic behaviors of aerobic granules under different cycle times, we cultivated aerobic granules in sequencing batch reactors R1, R2, and R3 with cycle time of 1.5, 4, and 8 h, respectively. After the three reactors reached the steady state, we found that granules in R1 with a cycle time of 1.5 h were the biggest while the most compact granules with density of 74.6 g l?1 was produced in reactor R2 with a cycle time of 4 h. Both granule density and granule size greatly influenced the specific COD removal rate (qs) and the specific oxygen uptake rate (SOUR) because of the mass transfer limitation in granules. However, the difference of COD removal rate by different granules could be neglected in aerobic granular reactor as 1000 mg l?1 of influent COD was depleted during 30 min by the biomass with high concentration in the reactor. Furthermore, we found that the observed specific biomass growth rate (?obs) of granular sludge decreased from 0.266 to 0.031 d?1 while the observed biomass growth yield (Yobs) of granular sludge decreased from 0.316 to 0.063 g VSS g?1 COD when cycle time varied from 1.5 to 8 h. Both ?obs and Yobs had good linear relationships with organic loading rate (OLR). However, the high ?obs with cycle time of 1.5 h would be harmful to the long-term stability of aerobic granules although OLR and reactor treating capacity could be enhanced greatly by shortening cycle time. In addition, high effluent biomass concentration and high Yobs with short cycle time would burden the sedimentation tanks and the sludge disposal. The balance between advantages and disadvantages by using short cycle time thus should be considered. The results in this study can be applied for the process design and optimization of biological wastewater treatment with aerobic granules.

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Contributors

Author: Yong-Qiang Liu

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