2007
DOI: 10.1016/j.memsci.2007.03.033
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Controlling submicron particle deposition in a side-stream membrane bioreactor: A theoretical hydrodynamic modelling approach incorporating energy consumption

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Cited by 24 publications
(19 citation statements)
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“…This is in agreement with Jiang et al [16] who observe that increasing axial pressure loss with increasing crossflow velocity results in elevated energy consumption. In addition, they report that increasing crossflow velocity leads to a considerable heterogeneous distribution of transmembrane pressure due to the decrease in feed pressure from the inlet to outlet.…”
Section: Impact Of Crossflow Velocitysupporting
confidence: 93%
“…This is in agreement with Jiang et al [16] who observe that increasing axial pressure loss with increasing crossflow velocity results in elevated energy consumption. In addition, they report that increasing crossflow velocity leads to a considerable heterogeneous distribution of transmembrane pressure due to the decrease in feed pressure from the inlet to outlet.…”
Section: Impact Of Crossflow Velocitysupporting
confidence: 93%
“…To get more detailed information about EPS/SMP, liquid chromatography with continuous organic carbon detection (LC-OCD) was developed [87], which can detect organic matter in water and wastewater with respect to their size and quantity in a single step. As a state-of-the-art equipment, it has been popularly used to analyze the fouling-causing substances in membrane processes [88][89][90][91][92][93][94][95]. The typical components of MBR supernatant are shown in Fig.…”
Section: Direct Observation (Do)mentioning
confidence: 99%
“…Several studies have investigated hydrodynamics in combination with particle deposition for back-transport of particles away from the membrane (surface) [14][15][16][17][18][19], or on convective fluid behaviour above a well-defined membrane pore [20]. Feed suspensions with particles between 0.1 and 10 m have been studied and therefore shear-induced diffusion is the main back-transport mechanism.…”
Section: Theorymentioning
confidence: 99%
“…(21)), describing the ratio between volumetric flow rates, similar to the description of our dimensionless time (Eq. (19)). The description for dimensionless time however, includes the ratio between particle radius and pore diameter; as a result, a simulation of the size of the particles entering the pore Θ corr (−) and therewith the transmission and particle size ratio, can be easily made.…”
Section: Particle Passage Across a Porementioning
confidence: 99%