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Environmental Science and Pollution Research

, Volume 26, Issue 30, pp 30625–30632 | Cite as

Innovative sludge pretreatment technology for impurity separation using micromesh

  • Xiaojie Mei
  • Xiaomeng HanEmail author
  • Lili Zang
  • Zhichao Wu
Water Environment Protection and Contamination Treatment

Abstract

In order to reduce the impacts on sludge treatment facilities caused by impurities such as fibers, hairs, plastic debris, and coarse sand, an innovative primary sludge pretreatment technology, sludge impurity separator (SIS), was proposed in this study. Non-woven micromesh with pore size of 0.40 mm was used to remove the impurities from primary sludge. Results of lab-scale tests showed that impurity concentration, aeration intensity, and channel gap were the key operation parameters, of which the optimized values were below 25 g/L, 0.8 m3/(m2 min), and 2.5 cm, respectively. In the full-scale SIS with treatment capacity of 300 m3/day, over 88% of impurities could be removed from influent and the cleaning cycle of micromesh was more than 16 days. Economic analysis revealed that the average energy consumption was 1.06 kWh/m3 treated sludge and operation cost was 0.6 yuan/m3 treated sludge.

Keywords

Primary sludge Impurity separation Micromesh Sludge impurity separator Micromesh fouling Sludge pretreatment 

Notes

Funding information

This work received support from the State Key Laboratory of Pollution Control and Resource Reuse Foundation (PCRRF16031) and Major Science and Technology Program for Water Pollution Control and Treatment (2017ZX07201005).

Supplementary material

11356_2018_2324_MOESM1_ESM.docx (33 kb)
ESM 1 (DOCX 32 kb)

References

  1. Andoh RYG, Saul AJ (2003) The use of hydrodynamic vortex separators and screening systems to improve water quality. Water Sci Technol 47:175–183CrossRefGoogle Scholar
  2. APHA (2012) Standard methods for the examination of water and wastewater, 22nd edn. American Public Health Association/American Water Works Association/Water Environment Federation, Washington, DCGoogle Scholar
  3. Braak E, Alliet M, Schetrite S, Albasi C (2011) Aeration and hydrodynamics in submerged membrane bioreactors. J Membrane Sci 379:1–18CrossRefGoogle Scholar
  4. Braak E, Schetrite S, Anne-Archard D, Albasi C, Alliet M (2012) Aeration for fouling control in submerged membrane bioreactors for wastewater treatment: shear simulation and experimental validation. Procedia Eng 44:674–677CrossRefGoogle Scholar
  5. Braak E, Albasi C, Anne-Archard D, Schetrite S, Alliet M (2017) Impact of aeration on mixed liquor in submerged-membrane bioreactors for wastewater treatment. Chem Eng Technol 40:1453–1465CrossRefGoogle Scholar
  6. CDEnviro (2017) Product brochure for S: Max Screening. https://www.cdenviro.com/products/smax
  7. Cheng XB (2012) Removal efficiency of solids in sludge from thickening tank by sludge filter. China Water Wastewater 28(15):82–84 (in Chinese)Google Scholar
  8. Chu HQ, Zhang YL, Zhou XF, Zhao YY, Dong BZ, Zhang H (2014) Dynamic membrane bioreactor for wastewater treatment: operation, critical flux, and dynamic membrane structure. J Membr Sci 450:265–271CrossRefGoogle Scholar
  9. Cote P, Alam Z, Penny J (2012) Hollow fiber membrane life in membrane bioreactors (MBR). Desalination 288:145–151CrossRefGoogle Scholar
  10. Du X, Liu XF, Wang Y, Radaei E, Lian BY, Leslie G, Li GB, Liang H (2017b) Particle deposition on flat sheet membranes under bubbly and slug flow aeration in coagulation-microfiltration process: effects of particle characteristic and shear stress. J Membr Sci 541:668–676CrossRefGoogle Scholar
  11. Du X, Wang Y, Leslie G, Li GB, Liang H (2017a) Shear stress in a pressure-driven membrane system and its impact on membrane fouling from a hydrodynamic condition perspective: a review. J Chem Technol Biotechnol 92:463–478CrossRefGoogle Scholar
  12. Frechen FB, Schier W, Linden C (2008) Pre-treatment of municipal MBR applications. Desalination 231:108–114CrossRefGoogle Scholar
  13. He ZW, Miller DJ, Kasemset S, Paul DR, Freeman BD (2017) The effect of permeate flux on membrane fouling during microfiltration of oily water. J Membr Sci 525:25–34CrossRefGoogle Scholar
  14. HUBER (2017) Product brochure for Sludgecleaner STRAINPRESS®. http://www.huber.de/fileadmin/01_products/04_sludge/01_sieben/01_strainpress/pro_sp_en.pdf
  15. Hydro (2017) Product brochure for Hydro-Sludge™ Screen. http://www.hydro-int.com/us/products/hydro-sludge-screen?s=0&r=us
  16. Jank A, Müller W, Waldhuber S, Gerke F, Ebner C, Bockreis A (2017) Hydrocyclones for the separation of impurities in pretreated biowaste. Waste Manag 64:12–19CrossRefGoogle Scholar
  17. Jiang LY, Yang CF, Hu QY, Li X, Guo ZY (2013) Operation analysis of sludge anaerobic digestion system at Bailonggang wastewater treatment plant. China Water Wastewater 29(9):33–37 (in Chinese)Google Scholar
  18. Jiang TH, Chen X, Wang WS, Lu XF (2015) Technological transformation and optimized operation of sludge treatment system in WWTP. China Water Wastewater 31(6):82–84 (in Chinese)Google Scholar
  19. Khalili-Garakani A, Mehrnia MR, Mostoufi N, Sarrafzadeh MH (2011) Analyze and control fouling in an airlift membrane bioreactor: CFD simulation and experimental studies. Process Biochem 46:1138–1145CrossRefGoogle Scholar
  20. Li XY, Wang XM (2006) Modelling of membrane fouling in a submerged membrane bioreactor. J Membr Sci 278:151–161CrossRefGoogle Scholar
  21. Lousada-Ferreira M, van Lier JB, van der Graaf JHJM (2015) Impact of suspended solids concentration on sludge filterability in full-scale membrane bioreactors. J Membr Sci 476:68–75CrossRefGoogle Scholar
  22. Meng FG, Zhang HM, Yang FL, Zhang ST, Li YS, Zhang XW (2006) Identification of activated sludge properties affecting membrane fouling in submerged membrane bioreactors. Sep Sci Technol 51:95–103Google Scholar
  23. Ndinisa NV, Fane AG, Wiley DE, Fletcher DF (2006) Fouling control in a submerged flat sheet membrane system: part II—two-phase flow characterization and CFD simulations. Sep Sci Technol 41:1411–1445CrossRefGoogle Scholar
  24. Qi L, Wu SC, Cheng JH, Hu YY (2017) The effects of physicochemical properties of sludge on dewaterability under chemical conditioning with amphoteric polymer. J Polym Environ 25:1262–1272CrossRefGoogle Scholar
  25. Romero-Güiza MS, Peces M, Astals S, Benavent J, Valls J, Mata-Alvarez J (2014) Implementation of a prototypal optical sorter as core of the new pre-treatment configuration of a mechanical–biological treatment plant treating OFMSW through anaerobic digestion. Appl Energ 135:63–70CrossRefGoogle Scholar
  26. Ruiken C, Breuer G, Klaversma E, Santiago T, van Loosdrecht MCM (2013) Sieving wastewater—cellulose recovery, economic and energy evaluation. Water Res 47:43–48CrossRefGoogle Scholar
  27. Stefanski M, Kennedy S, Judd S (2011) The determination and origin of fibre clogging in membrane bioreactors. J Membr Sci 375(1–2):198–203CrossRefGoogle Scholar
  28. Temmerman LD, Maere T, Temmink H, Zwijnenburg A, Nopens I (2015) The effect of fine bubble aeration intensity on membrane bioreactor sludge characteristics and fouling. Water Res 76:99–109CrossRefGoogle Scholar
  29. USEPA (1999) Combined sewer overflow technology fact sheet screens. Office of Water, Washington, D.CGoogle Scholar
  30. Wang ZW, Wu ZC (2009) A review of membrane fouling in MBRs: characteristics and role of sludge cake formed on membrane surfaces. Sep Sci Technol 44:3571–3596CrossRefGoogle Scholar
  31. Wei P, Zhang KS, Gao WM, Kong LX, Field R (2013) CFD modeling of hydrodynamic characteristics of slug bubble in a flat sheet membrane bioreactor. J Membr Sci 445:15–24CrossRefGoogle Scholar
  32. Xie F, Liu JR, Wang JM, Chen WW (2016) Computational fluid dynamics simulation and particle image velocimetry experimentation of hydrodynamic performance of flat-sheet membrane bioreactor equipped with micro-channel turbulence promoters with micro-pores. Korean J Chem Eng 33:2169–2178CrossRefGoogle Scholar
  33. Yang M, Yu DW, Liu MM, Zheng LB, Zheng X, Wei YS, Wang F, Fan YB (2017) Optimization of MBR hydrodynamics for cake layer fouling control through CFD simulation and RSM design. Bioresour Technol 227:102–111CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Environmental Science and EngineeringTongji UniversityShanghaiChina
  2. 2.Shanghai Urban Construction Design & Research InstituteShanghaiChina
  3. 3.Shanghai Urban Water Resources Development and Utilization National Engineering Center Co. Ltd.ShanghaiChina
  4. 4.Shanghai Zizheng Environmental Technology Co. Ltd.ShanghaiChina

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