Combined models of membrane fouling: Development and application to microfiltration and ultrafiltration of biological fluids

Bolton, Glen; LaCasse, Dan; Kuriyel, Ralf

doi:10.1016/j.memsci.2004.12.053

Cited by 375 publications

(212 citation statements)

References 8 publications

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“…For example, a combination of pore blocking followed by cake-layer build-up was shown to describe the fouling of track-etched membranes by BSA [27] and proteins [28]. This approach can be generalized to other combinations of two fouling mechanisms [29] and has been further extended to capture three sequential fouling mechanisms, such as pore constriction followed by pore blocking and finally transitioning to caking [30].…”

Section: Introductionmentioning

confidence: 99%

“…2b and [31,32]). However, experiments suggest that such a fouling behaviour may also be observed in the absence of any such adsorption mechanisms (see, for example, [19,29,30,33]). Furthermore, it is clear that such fouling behaviour is not constrained to the filtration of specific contaminants by a specific membrane, since significantly changing both the membrane type and contaminants within the feed still reveals qualitatively similar results (Fig.…”

Section: Introductionmentioning

confidence: 99%

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A combined network model for membrane fouling

Griffiths¹,

Kumar

Stewart

2014

Journal of Colloid and Interface Science

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A combined network model for membrane fouling

Griffiths¹,

Kumar

Stewart

2014

Journal of Colloid and Interface Science

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“…Other models developed in the literature for other applications were also applied to the Series 1 data. Two examples are the combined model of Peng and Tremblay (2008) and the combined models of Bolton et al (2006). These are models that also use mechanistic formulations to predict the flux with time.…”

Section: 20mentioning

confidence: 99%

Filtration Understanding: FY10 Testing Results and Filtration Model Update

Daniel¹,

Billing²,

Burns³

et al. 2011

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SummaryThis document completes the requirements of Milestone 2-4, Final Report of FY10 Testing, discussed in the scope of work outlined in the EM31 task plan WP-2.3.6-2010-1. The focus of task WP-2.3.6 is to improve the U.S. Department of Energy's (DOE's) understanding of filtration operations for high-level waste (HLW) to improve filtration and cleaning efficiencies, thereby increasing process throughput and reducing the Na demand (through acid neutralization). Developing cleaning/backpulsing requirements will produce much more efficient operations for both the Hanford Tank Waste Treatment and Immobilization Plant (WTP) and the Savannah River Site (SRS), thereby significantly increasing throughput by limiting cleaning cycles. Indeed, current program results derived from Pacific Northwest National Laboratory (PNNL) studies indicate that a ~35% increase in filter throughput can be achieved by optimization of backpulse frequency alone. In this report, the results of FY10 testing conducted under EM31 task plan WP-2.3.6-2010-1 are presented and discussed. The scope of this work is to develop the understanding of filter fouling to allow developing this cleaning/backpulsing strategy.The overall approach to this task is:  Review previous cross-flow testing at SRS, PNNL, and other peer review journals to direct testing activities for this task. Develop a predictive model that reflects the important physical mechanisms of fouling and cleaning for use in determining effective filter cleaning strategies for a variety of feeds. Develop simulants that can result in significant irreversible fouling, but also are representative of the types of materials that are present in HLW. Test these simulants in bench-scale equipment to identify the cleaning requirements for these feeds. Develop a cleaning strategy to optimize throughput while minimizing added Na. Validate the model and operational strategy with actual waste samples as appropriate.The FY10 work discussed in the current report focused on tests that would improve understanding of filter fouling dynamics to allow development of improved filtration models. To this end, three filtration test programs were conducted to provide insight into dynamics of filter fouling and the efficacy of flux recovery operations, including both backpulsing of the filter and chemical cleaning regimens. The three testing programs were: Series 1, Long Term Fouling Tests -examined flux decline when filtering the Pretreatment Engineering Platform (PEP) waste simulant slurry for long periods of time without backpulsing. Previous filtration testing has only studied filter flux dynamics over relatively brief periods of operation (4-12 hours) with respect to expected filtration operation times at WTP (on the order of 100 hours). The aim of Series 1 testing was to answer this need. Series 2, Component Fouling Tests -determined the filtration behavior of the major components that comprise the PEP simulant. By examining each solid component separately, the nature of particle-particle and particle me...

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“…Several models [6][7][8][9][10] have been developed to describe the membrane fouling during constantpressure filtration process. Among them, three kinds of blocking models (complete blocking, standard blocking and intermediate blocking) and the cake filtration model (illustrated in Figure 1), described by Equation (1)-(4), respectively, have been commonly used to analyze the constant-pressure dead-end membrane filtration process for MF [11], UF [12], and even NF/RO [13].…”

Section: Introductionmentioning

confidence: 99%

Membrane Fouling Potential of Secondary Effluent Organic Matter (EfOM) from Conventional Activated Sludge Process

Wei

Amy

2012

J. Memb. Separ. Tech.

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Secondary effluent organic matter (EfOM) from a conventional activated sludge process was filtered through constant-pressure dead-end filtration tests with a sequential ultrafiltration (UF, molecular weight cut-off (MWCO) of 10k Dalton) and nanofiltration (NF, MWCO of 200 Dalton) array to investigate its membrane fouling potential. Advanced analytical methods including liquid chromatography with online carbon detection (LC-OCD) and fluorescent excitation-emission matrix (F-EEM) were employed for EfOM characterization. EfOM consisted of humic substances and building blocks, low molecular weight (LMW) neutrals, biopolymers (mainly proteins) and hydrophobic organics according to the sequence of their organic carbon fractions. The UF rejected only biopolymers and the NF rejected most humics and building blocks and a significant part of LMW neutrals. Simultaneous occurrence of cake layer and standard blocking during the filtration process of both UF and NF was identified according to constant-pressure filtration equations, which was possibly caused by the heterogeneous nature of EfOM with a wide MW distribution (several ten to several million Dalton). Thus the corresponding two fouling indices (kc for cake layer and ks for standard blocking) from UF and NF could characterize the fouling potential of macromolecular biopolymers and low to intermediate MW organics (including humics, building blocks, LMW neutrals), respectively. Compared with macromolecular biopolymers, low to intermediate MW organics exhibited a much higher fouling potential due to their lower molecular weight and higher concentration.

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Combined models of membrane fouling: Development and application to microfiltration and ultrafiltration of biological fluids

Cited by 375 publications

References 8 publications

A combined network model for membrane fouling

A combined network model for membrane fouling

Filtration Understanding: FY10 Testing Results and Filtration Model Update

Membrane Fouling Potential of Secondary Effluent Organic Matter (EfOM) from Conventional Activated Sludge Process

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