Skip to main content

Advertisement

Log in

Modelling tool to assess membrane regeneration by periodical hydraulic cleaning and fouling control in pressurized membrane process for surface water treatment

  • Thematic Issue
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

In this study, a mathematical model was developed to assess fouling as well as membrane regeneration in a pressurized, hollow-fiber membrane system for the treatment of highly turbid surface water using periodical cleaning by backwashing and forward flushing. The model was validated using experimental data of trans-membrane pressure obtained when filtering separately, a SiO2 solution, a mixed SiO2/sodium alginate (SA) solution, a mixed SiO2/bovin serum albumin (BSA) solution and a mixed SiO2/humic acid (HA). Experimental and theoretical studies highlighted the synergistic fouling effect between SiO2 simulating the colloidal particles and the different elements (HA, SA and BSA) simulating the natural organic matter. Protein fouling was mitigated when mixed with SiO2. While the highest fouling rate was obtained for mixed SiO2/SA solution, the majority of this fouling was removed by periodic cleaning. Moreover, mixed SiO2/HA solution showed also high fouling which was mainly irreversible.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

Abbreviations

C:

Total foulants’ concentration (kg m−3)

J:

Permeate flux (m3 m−2 s−1)

k :

Specific cake resistance kinetic coefficient (–)

k 1 :

Specific cake resistance decrease coefficient (–)

k 2 :

Coefficient of the parameter σ decrease (–)

m a :

Specific matter mass attached to membrane (kg m−2)

m c :

Specific cake mass (kg m−2)

m d :

Specific matter mass detached from membrane (kg m−2)

R 0 :

Membrane intrinsic resistance (m−1)

R c :

Cake resistance (m−1)

TMP:

Trans-membrane pressure (Pa)

α:

Specific cake resistance (m kg−1)

α0 :

Initial specific cake resistance (m kg−1)

γ :

Back-diffusion coefficient (m2 kg−1)

µ :

Permeate viscosity (Pa s)

σ :

Specific cake mass decrease parameter (–)

References

  • Bérubé PR, Lei E (2006) The effect of hydrodynamic conditions and system configurations on the permeate flux in submerged hollow fiber membrane system. J Memb Sci 271:29–37

    Article  Google Scholar 

  • Bolton GR, Boesch AW, Lazzara MJ (2006) The effects of flow rate on membrane capacity: development and application of adsorptive membrane fouling models. J Memb Sci 279:625–634

    Article  Google Scholar 

  • Chang H, Liu B, Liang H, Yu H, Shao S, Li G (2017) Effect of filtration mode and backwash water on hydraulically irreversible fouling of ultrafiltration membrane. Chemosphere 179:254–264

    Article  Google Scholar 

  • Charfi A, Jang H, Kim J (2017a) Membrane fouling by sodium alginate in high salinity conditions to simulate biofouling during seawater desalination. Biores Technol 240:106–114

    Article  Google Scholar 

  • Charfi A, Aslam M, Lesage G, Heran M, Kim J (2017b) Macroscopic approach to develop fouling model under GAC fluidization in anaerobic fluidized bed membrane bioreactor. J Ind Eng Chem 49:219–229

    Article  Google Scholar 

  • Chen KL, Mylon SE, Elimelech M (2006) Aggregation kinetics of alginate coated hematite nanoparticles in monovalent and divalent electrolytes. Environ Sci Technol 40:1516–1523

    Article  Google Scholar 

  • Cho J, Amy G, Pellegrino J (2000) Membrane filtration of natural organic matter: factors and mechanisms affecting rejection and flux decline with charged ultrafiltration (UF) membrane. J Memb Sci 164:89–110

    Article  Google Scholar 

  • Cho Y, Kim D, Kim J, Jang M, Wachinski AM (2017) Scale-up testing of a novel cleaning method for low-pressure hollow fiber membranes treating high algae surface waters. Environ Eng Sci 34(11):835–843

    Article  Google Scholar 

  • Chu KH, Yoo SS, Yoon Y, Ko KB (2015) Specific investigation of irreversible membrane fouling in excess of critical flux for irreversibility: a pilot-scale operation for water treatment. Sep Purif Technol 151:147–154

    Article  Google Scholar 

  • Crozes G, Anselme C, Mallevialle J (1993) Effect of adsorption of organic matter on fouling of ultrafiltration membranes. J Membr Sci 84:61–77

    Article  Google Scholar 

  • Gamage NP, Chellam S (2014) Mechanisms of physically irreversible fouling during surface water microfiltration and mitigation by aluminium electroflotation pretreatment. Environ Sci Technol 48:1148–1157

    Article  Google Scholar 

  • Gao W, Liang H, Ma J, Han M, Chen ZL, Han ZS, Li GB (2011) Membrane fouling control in ultrafiltration technology for drinking water production: a review. Desalination 272:1–8

    Article  Google Scholar 

  • Hermia J (1982) Constant pressure blocking filtration laws-application to power law non-newtonian fluids. Trans Inst Chem Eng 60:183–187

    Google Scholar 

  • Hou L, Gao K, Li P, Zhang X, Wang Z, Song P, Yao W (2017) A kinetic model for calculating total membrane fouling resistance in chemical cleaning process. Chem Eng Res Des 128:59–72

    Article  Google Scholar 

  • Howe KJ, Clark MM (2002) Fouling of microfiltration and ultrafiltration membranes by natural waters. Environ Sci Technol 36:3571–3576

    Article  Google Scholar 

  • Jermann D, Pronk W, Meylan S, Boller M (2007) Interplay of different NOM fouling mechanisms during ultrafiltration for drinking water production. Water Res 41:1713–1722

    Article  Google Scholar 

  • Jermann D, Pronk W, Kagi R, Halbeisen M, Boller M (2008) Influence of interactions between NOM and particles on UF fouling mechanisms. Water Res 42:3870–3878

    Article  Google Scholar 

  • Jones KL, O’Melia CR (2001) Ultrafiltration of protein and humic substances: effect of solution chemistry on fouling and flux decline. J Memb Sci 193:163–173

    Article  Google Scholar 

  • Kimura K, Hane Y, Watanabe Y, Amy G, Ohkuma N (2004) Irreversible membrane fouling during ultrafiltration of surface water. Water Res 38:3431–3441

    Article  Google Scholar 

  • Lee N, Amy G, Croué JP, Buisson H (2004) Identification and understanding of fouling in low pressure membrane (MF/UF) filtration by natural organic matter (NOM). Water Res 38:4511–4523

    Article  Google Scholar 

  • Lin H, Bérubé PR (2007) Modeling the impact of permeate flux and hydrodynamic conditions on fouling in submerged hollow fiber membranes. Water Sci Technol Water Supp 7(4):111–118

    Article  Google Scholar 

  • Liu J, Dong B, Cao B, Zhao D, Wang Z (2016) Microfiltration process for surface water treatment irreversible fouling identification and chemical cleaning. RSC Adv 6:114005–114013

    Article  Google Scholar 

  • Munla L, Peldszus S, Huck PM (2012) Reversible and irreversible fouling of ultrafiltration ceramic membranes by model solutions. J Am Water Works Ass 104(10):E540–E554

    Article  Google Scholar 

  • Nghiem LD, Oschmann N, Schafer AI (2006) Fouling in greywater recycling by direct ultrafiltration. Desalination 187:283–290

    Article  Google Scholar 

  • Peiris RH, Budman H, Moresoli C, Legge RL (2010) Understanding fouling behavior of ultrafiltration membrane processes and natural water using principal component analysis of fluorescence excitation-emission matrices. J Memb Sci 357:62–72

    Article  Google Scholar 

  • Peiris RH, Jaklewicz M, Budman H, Legge RL, Moresoli C (2013) Assessing the role of feed water constituents in irreversible membrane fouling of pilot-scale ultrafiltration drinking water treatment systems. Water Res 47:3364–3374

    Article  Google Scholar 

  • Peldszus S, Hallé C, Peiris RH, Hamouda M, Jin X, Legge RL, Budman H, Moresoli C, Huck PM (2011) Reversible and irreversible low-pressure membrane foulants in drinking water treatment: identification by principal component analysis of fluorescence EEM and mitigation by biofiltration pretreatment. Water Res 45:5161–5170

    Article  Google Scholar 

  • Wiesner MR, Chellam S (1999) Peer reviewed: the promise of membrane technology. Environ Sci Technol 33:360A–366A

    Article  Google Scholar 

  • Yamamura H, Kimura K, Watanabe Y (2007) Mechanism involved in the evolution of physically irreversible fouling in microfiltration and ultrafiltration membranes used for drinking water treatment. Environ Sci Technol 41:6789–6794

    Article  Google Scholar 

Download references

Acknowledgements

This research was a part of the project titled ‘Manpower training program for ocean energy’, funded by the Ministry of Oceans and Fisheries, Korea. This work was supported by the Korea Research Fellowship Program through the National Research Foundation (NRF) funded by the Ministry of Science and ICT (NRF-2015H1D3A1059895).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jeonghwan Kim.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is a part of Topical Collection in Environmental Earth Sciences on Water Sustainability: A Spectrum of Innovative Technology and Remediation Methods, edited by Dr. Derek Kim, Dr. Kwang-Ho Choo, and Dr. Jeonghwan Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Charfi, A., Jang, H. & Kim, J. Modelling tool to assess membrane regeneration by periodical hydraulic cleaning and fouling control in pressurized membrane process for surface water treatment. Environ Earth Sci 78, 21 (2019). https://doi.org/10.1007/s12665-018-8011-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12665-018-8011-4