Aerobic Sludge Granulation: A Computational Fluid Dynamics Study of Fluid Flow Patterns in Bubble Column Reactors

被引:0
作者
Fan, Wenwen [1 ,2 ]
Yuan, LinJiang [2 ]
Li, Yonglin [2 ]
机构
[1] Xian Aeronaut Inst, Sch Energy & Architecture, Xian 710000, Peoples R China
[2] Xian Univ Architecture & Technol, Key Lab Environm Engn, Key Lab Northwest Water Resources Environm & Ecol, MOE, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
aerobic granular sludge; computational fluid dynamics; flow pattern; superficial gas velocity; viscosity; HYDRAULIC SELECTION PRESSURE; CFD SIMULATION; STIRRED-TANK; SHEAR FORCE; HYDRODYNAMICS; GRANULES; CULTIVATION;
D O I
10.1089/ees.2022.0367
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The flow patterns of bioreactors are influenced by superficial gas velocity (SGV), substrate types, and concentration, which in turn affect the properties of aerobic granular sludge (AGS). This study used three-dimensional computational fluid dynamics to simulate the flow pattern in the bubble column reactor under the SGV of 1.2-5.0 cm/s and reactor ratio of height to diameter (H/D ratio) of 120/6, different substrate types, and concentration. The SGV was more significant to the flow pattern. The flow pattern transformed from single-cell circulation to small-scale vortices with the increase of SGV. Five sequencing batch reactors were employed to cultivate the AGS with an SGV ranging from 1.0 to 5.0 cm/s and an H/D ratio of 120/6. The mature AGS was performed under the SGV of 2.0-5.0 cm/s. The combination of simulation and experiment showed that the flow pattern of transverse rotation was a vital factor in the formation of AGS with an SGV of 1.2 cm/s. The flow pattern of multiple spiral vortices was necessary for the stability of AGS, with an SGV of 2.0-5.0 cm/s. The substrate types and concentration influenced the liquid viscosity and then affected the diameter, properties, and formation time of AGS.
引用
收藏
页码:381 / 393
页数:13
相关论文
共 45 条
[1]  
APHA, 2000, Standard Methods for the Examination of Water and Wastewater, Vtwentyfirst, DOI [10.5860/choice.37-2792, DOI 10.5860/CHOICE.37-2792]
[2]   Computational Fluid-Dynamic modeling of the pseudo-homogeneous flow regime in large-scale bubble columns [J].
Besagni, Giorgio ;
Inzoli, Fabio ;
Ziegenhein, Thomas ;
Lucas, Dirk .
CHEMICAL ENGINEERING SCIENCE, 2017, 160 :144-160
[3]   Aerobic granulation in a sequencing batch reactor [J].
Beun, JJ ;
Hendriks, A ;
Van Loosdrecht, MCM ;
Morgenroth, E ;
Wilderer, PA ;
Heijnen, JJ .
WATER RESEARCH, 1999, 33 (10) :2283-2290
[4]   FLOW STRUCTURE IN A 3-DIMENSIONAL BUBBLE-COLUMN AND 3-PHASE FLUIDIZED-BED [J].
CHEN, RC ;
REESE, J ;
FAN, LS .
AICHE JOURNAL, 1994, 40 (07) :1093-1104
[5]   Cultivation of aerobic granular sludge in a conventional, continuous flow, completely mixed activated sludge system [J].
Chen, Xi ;
Yuan, Linjiang ;
Lu, Wenjuan ;
Li, Yuyou ;
Liu, Pei ;
Nie, Kun .
FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2015, 9 (02) :324-333
[6]   Aerobic granulation under the combined hydraulic and loading selection pressures [J].
Chen, Yao ;
Jiang, Wenju ;
Liang, David Tee ;
Tay, Joo Hwa .
BIORESOURCE TECHNOLOGY, 2008, 99 (16) :7444-7449
[7]   Strengthening aerobic granule by salt precipitation [J].
Chen, Yu-You ;
Pan, Xiangliang ;
Li, Jun ;
Lee, Duu-Jong .
BIORESOURCE TECHNOLOGY, 2016, 218 :1253-1256
[8]   Investigation of multiphase flow in sequencing batch reactor (SBR) by means of hybrid methods [J].
Diez, L. ;
Zima, B. E. ;
Kowalczyk, W. ;
Delgado, A. .
CHEMICAL ENGINEERING SCIENCE, 2007, 62 (06) :1803-1813
[9]   CFD optimization of continuous stirred-tank (CSTR) reactor for biohydrogen production [J].
Ding, Jie ;
Wang, Xu ;
Zhou, Xue-Fei ;
Ren, Nan-Qi ;
Guo, Wan-Qian .
BIORESOURCE TECHNOLOGY, 2010, 101 (18) :7005-7013
[10]   Carbon source affects the resource recovery in aerobic granular sludge systems treating wastewater [J].
dos Santos, Amanda Ferreira ;
Frutuoso, Francisca Kamila Amancio ;
de Carvalho, Clara de Amorim ;
Lira, Vitor Nairo Sousa Aguiar ;
Barros, Antonio Ricardo Mendes ;
dos Santos, Andre Bezerra .
BIORESOURCE TECHNOLOGY, 2022, 357