Quantitative relationships for the impact of gas sparging conditions on membrane fouling in anaerobic membrane bioreactor

被引:15
|
作者
Liu, Ziwei
Yu, Jinlan
Xiao, Kang
Chen, Cheng
Ma, He
Liang, Peng
Zhang, Xiaoyuan
Huang, Xia
机构
[1] State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing
[2] College of Resources and Environment, University of Chinese Academy of Sciences, Beijing
[3] Research and Application Center for Membrane Technology, School of Environment, Tsinghua University, Beijing
关键词
Anaerobic membrane bioreactor; Gas sparging intensity; Fouling rate; Foulant layer structure; Quantitative relationships; DEAD-END FILTRATION; WASTE-WATER; RETENTION TIME; CRITICAL FLUX; PERFORMANCE; SLUDGE; ULTRAFILTRATION; MICROFILTRATION;
D O I
10.1016/j.jclepro.2020.123139
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Biogas sparging is one of the most commonly used strategies for membrane fouling control in anaerobic membrane bioreactors (AnMBR). However, as a cost-effective sparging pattern, high/low alternate sparging mode was seldom studied, not to mention at a quantitative level. In this study, we systematically assessed the impacts of various parameters of gas sparging (intensity, duration and interval/frequency) on membrane fouling characteristics, on the basis of orthogonal tests coupled with statistical analysis of variance and covariance. The specific gas demand in the high-intensity phase (SGD(H)) was identified as the key factor impacting the overall fouling rate and stagewise rate constants (K-p' and K-c' for pore blocking and cake layer stages respectively) with negative correlation. The product of SGD(H) and time, i.e. the accumulative gas amount in the high-intensity phase (Q(H)), was identified as the key factor affecting foulant layer reversibility (eta) and specific resistance (alpha), with logarithmic models established in terms of log Q(H) versus log eta and log alpha. The validity and robustness of the quantitative models with definite physical meaning were evaluated via Monte Carlo simulation of the regression. The underlying mechanisms were explained from the perspective that hydrodynamic conditions influence mixed liquor and foulant properties (particle size distribution, microbial products amount and component) and, hence, affect fouling rates and foulant layer properties, with a panorama of the interrelated factors and properties delineated by multivariate analysis. This study is expected to provide a quantitative basis for the design of gas sparging conditions, under which sustainable operation of AnMBR could be achieved with the lowest energy consumption. (C) 2020 Elsevier Ltd. All rights reserved.
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页数:11
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