Modelling and predicting transport and concentration distribution of sludge in a high performance anaerobic bioreactor

被引:7
作者
Dai, Ruobin [1 ,2 ]
Chen, Xiaoguang [1 ,2 ]
Ma, Puyue [1 ]
Chu, Xiaoxiao [1 ]
Xiang, Xinyi [1 ]
Luo, Ying [1 ]
Ni, Shengsheng [1 ]
Li, Gang [1 ]
机构
[1] Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
[2] State Environm Protect Engn Ctr Pollut Treatment, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金;
关键词
High performance; Spiral symmetry stream anaerobic; bioreactor; Sludge transport; Sludge concentration distribution; Mathematical model; Prediction; WASTE-WATER; GRANULAR SLUDGE; REACTORS; BEHAVIOR;
D O I
10.1016/j.bej.2016.12.023
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The transport and concentration distribution of sludge in a high performance anaerobic bioreactor, termed spiral symmetry stream anaerobic bioreactor (SSSAB), was directly related to its effective retention of the biomass, as well as its stable operation under high loading rate. Therefore, the transport and concentration distribution of sludge in a lab-scale SSSAB were modelled and investigated in comparison with a same-sized upflow anaerobic sludge blanket reactor (UASBR), and two larger scale SSSABs were used for validating and expanding the application field of the model. The results showed that the model established can effectively describe the sludge transport and concentration distribution in the SSSAB. The SSSAB performed relatively low sludge transport factor compared with the UASBR, proving the favorable sludge retention ability of the SSSAB. The sludge transport factor remained constant with the scale-up of the SSSAB. The model could predict the sludge concentration distribution of a 130 L SSSAB treating traditional Chinese pharmaceutical wastewater. Also, the model can be applied to the SSSAB treating other types of wastewater with biogas production fractions in zone 1 and 2 (f(1) and f(2)) at the ranges of 0.19-0.41 and 0.18-0.41, respectively. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:17 / 24
页数:8
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