SHI En, LI Jianzheng, MA Tiannan. Modeling of substrate degradation and methane production in anaerobic baffled reactor based on inhibition parameter of volatile fatty acids[J]. CIESC Journal, 2016, (7): 2979-2986.
SHI En, LI Jianzheng, MA Tiannan. Modeling of substrate degradation and methane production in anaerobic baffled reactor based on inhibition parameter of volatile fatty acids[J]. CIESC Journal, 2016, (7): 2979-2986.DOI: 10.11949/j.issn.0438-1157.20160043.
A 4-compartment anaerobic baffled reactor (ABR) was operated for organic wastewater treatment at a constant hydraulic retention time (HRT) of 40 h and temperature of 35°C
with the influent COD increased from 2000 to 8000 mg·L-1 stage by stage. Based on the reactor performance
Andrews model was constructed firstly for substrate degradation in the ABR. And then a prediction model for methane production was constructed by combining the stoichiometry of methane fermentation with the developed substrate degradation model. The results showed that the simulated COD of the calibrated Andrews model was well agreed with the measured data in the ABR. The experimental data were used to calibrate the dynamics parameters. k as the estimated maximum specific substrate degradation rate and Ks as the semi-saturation constant were kept at 2 d-1 and 100 mg COD·L-1
respectively
though the influent COD increased by stages. On the contrary
Ki as the inhibition parameter of volatile fatty acids (VFAs) rose following the increased influent COD. With a COD of 2000
4000
6000 and 8000 mg·L-1 in influent
Ki was counted for 1500
1700
4000 and 6000 mg COD·L-1
respectively. The equivalent COD of VFAs in the first compartment was close to or higher than the estimated Ki
indicating that a serious inhibition of VFAs to methane fermentation had occurred. Meanwhile
the equivalent COD in the last 3 compartments was lower than their Ki and showed a decreasing trend
suggesting that the inhibitory effect of VFAs on methane fermentation became weaker compartment by compartment. The methane production in the 4 compartments was ranged from 1.12—6.42
2.54—8.96
1.24—4.48 and 0.16—0.58 L·d-1
respectively
and the developed model could predict the measured data very well. The calibrated Andrew model and the prediction model for methane production would provide an approach to the design and operation control of ABRs.