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Integrating activated sludge floc size information in MBR fouling modeling

机译:在MBR结垢模型中集成活性污泥絮凝物尺寸信息

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Although studied extensively, modeling fouling phenomena in membrane bioreactors (MBRs) remains challenging. It has been well established that cake layer formation and pore blocking have a strong impact on the filtration performance but how to capture that in comprehensive models is not fully defined yet. Since it has been shown that bioflocculation characteristics of activated sludge have a clear link with (the extent of) membrane fouling, this study integrates activated sludge floc size (i.e., particle size distribution) information in the model for pore blocking and cake layer formation with a focus on constant flux operated MBRs. Based on these floc size distributions, a three-dimensional modeling and visualization of the cake layer is envisaged which can then provide the required input information (e.g., the porosity of the cake layer) for the fouling model. The model is calibrated and validated on the basis of experimental data from Hwang et al. (2012) in 'Membrane bioreactor: TMP rise and characterization of biocake structure using CLSM-image analysis'.
机译:尽管已进行了广泛的研究,但在膜生物反应器(MBR)中对结垢现象进行建模仍然具有挑战性。众所周知,滤饼层的形成和孔堵塞对过滤性能有很大影响,但是如何在综合模型中捕获滤饼尚未完全定义。由于已经证明活性污泥的生物絮凝特性与膜污染程度(程度)密切相关,因此本研究将活性污泥絮凝尺寸(即粒径分布)信息整合到了模型中,以堵塞孔和形成滤饼层。专注于恒定通量操作的MBR。基于这些絮状物的尺寸分布,设想了滤饼层的三维建模和可视化,然后可以为结垢模型提供所需的输入信息(例如滤饼层的孔隙率)。根据Hwang等人的实验数据对模型进行校准和验证。 (2012)在“膜生物反应器:TMP的上升和使用CLSM图像分析对生物饼结构进行表征”中。

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