Model-based analysis of the effect of different operating conditions on fouling mechanisms in a membrane bioreactor
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  • 作者:Gianpaolo Sabia ; Marco Ferraris…
  • 关键词:Membrane bioreactor ; Monitoring ; Transmembrane pressure ; Filtration ; Model ; Fouling mechanism
  • 刊名:Environmental Science and Pollution Research
  • 出版年:2016
  • 出版时间:January 2016
  • 年:2016
  • 卷:23
  • 期:2
  • 页码:1598-1609
  • 全文大小:1,856 KB
  • 参考文献:Bennett ND, Croke BFW, Guariso G et al (2013) Characterising performance of environmental models. Environ Model Softw 40:1–20CrossRef
    Bolton G, LaCasse D, Kuriyel R (2006) Combined model of membrane fouling: development and application to microfiltration and ultrafiltration membranes. J Membr Sci 277:75–84CrossRef
    Broeckmann A, Busch J, Wintgens T, Marquardt W (2006) Modeling of pore blocking and cake layer formation in membrane filtration for wastewater treatment. Desalination 189:97–109CrossRef
    Brookes A, Jefferson B, Guglielmi G, Judd SJ (2006) Sustainable flux fouling in a membrane bioreactor: impact of flux and MLSS. Sep Sci Technol 41:1279–1291CrossRef
    Charfi A, Ben Amar N, Harmand J (2012) Analysis of fouling mechanisms in anaerobic membrane bioreactors. Water Res 46(8):2637–2650CrossRef
    Cho BD, Fane AG (2002) Fouling transients in nominally sub-critical flux operation for a membrane bioreactor. J Membr Sci 209:391–403CrossRef
    Drews A (2010) Membrane fouling in membrane bioreactors: characterisation, contradictions, cause and cures. J Membr Sci 363:1–28CrossRef
    Drews A, Arellano-Garcia H, Schoneberger J et al (2009) Model-based recognition of fouling mechanisms in membrane bioreactors. Desalination 236:224–233CrossRef
    Duclos-Orsello C, Weiyi L, Chia-Chi H (2006) A three mechanism model to describe fouling of microfiltration membranes. J Membr Sci 280:856–866CrossRef
    Eui-Jong L, Young-Hoon K, Hyung-Soo K, Am J (2015) Influence of microbubble in physical cleaning of MF membrane process for wastewater reuse. Environ Sci Pollut Res 22(11):8451–8459CrossRef
    Ferraris M, Innella C, Spagni A (2009) Start-up of a pilot-scale membrane bioreactor to treat municipal wastewater. Desalination 237:190–213CrossRef
    Field RW, Wu D, Howell JA, Gupta BB (1995) Critical flux concept for microfiltration fouling. J Membr Sci 100:259–272CrossRef
    Guglielmi G, Chiarani D, Judd SJ, Andreottola G (2007) Flux criticality and sustainability in a hollow fibre submerged membrane bioreactor for municipal wastewater treatment. J Membr Sci 289:241–248CrossRef
    Hermia J (1982) Constant pressure blocking filtration laws—application to power-law non-Newtonian fluids. Trans I Chem E 60:183–187
    Hlavacek M, Bouchet F (1993) Constant flowrate blocking laws and an example of their application to dead-end microfiltration of protein solutions. J Membr Sci 82(3):285–295CrossRef
    Iritani E (2013) A review on modelling of pore-blocking behaviours of membrane during pressurized membrane filtration. Dry Technol 31:146–162CrossRef
    Janus T, Paul P, Ulanicki B (2009) Modelling and simulation of short and long term membrane filtration experiments. Desalin Water Treat 8:37–47CrossRef
    Kim M, Sankararao B, Seungchul L, ChangKyoo Y (2013) Prediction and identification of membrane fouling mechanism in a membrane bioreactor using a combined mechanistic model. Ind Eng Chem Res 52(48):17198–17205CrossRef
    Laera G, Pollice A, Saturno D et al (2009) Influence of sludge retention time on biomass characteristics and clearing requirements in a membrane bioreactor for municipal wastewater treatment. Desalination 236:104–110CrossRef
    Li X, Wang X (2006) Modelling of membrane fouling in a submerged membrane bioreactor. J Membr Sci 278:151–161CrossRef
    Liu QF, Kim SH (2008) Evaluation of membrane fouling models based on bench scale experiments: a comparison between constant flowrate blocking laws and artificial neural network (ANNs) model. J Membr Sci 310 (1–2):393–401
    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 476:68–75CrossRef
    Maere T, Villez K, Marsili-Libelli S et al (2012) Membrane bioreactor fouling behaviour assessment through principal component analysis and fuzzy clustering. Water Res 46:6132–6142CrossRef
    Mannina G, Di Bella G, Viviani G (2011) An integrated model for biological and physical process simulation in membrane bioreactors (MBR). J Membrane Sci 376(1–2):56–69CrossRef
    Meng F, Chae SR, Drews A et al (2009) Recent advances in membrane bioreactors (MBRs): membrane fouling and membrane material. Water Res 43:1489–1512CrossRef
    Monclús E, Ferrer G, Buttiglieri G et al (2011) Online monitoring of membrane fouling in submerged MBRs. Desalination 277:414–419CrossRef
    Ng A, Albert NL, Kim S (2007) A mini-review of modeling studies on membrane bioreactor (MBR) treatment for municipal wastewaters. Desalination 212:261–281CrossRef
    Ognier S, Wisniewski C, Grasmick A (2004) Membrane bioreactor fouling in sub-critical filtration conditions: a local critical flux concept. J Membr Sci 229(1–2):171–177CrossRef
    Pollice A, Giordano C, Laera G et al (2007) Physical characteristics of the sludge in a complete retention membrane bioreactor. Water Res 41:1832–1840CrossRef
    Sabia G, Ferraris M, Spagni A (2013) Effect of solid retention time on sludge filterability and activity: long-term experiment on a pilot-scale membrane bioreactor treating municipal wastewater. Chem Eng J 221:176–184CrossRef
    Sabia G, Ferraris M, Spagni A (2014) Online monitoring of MBR fouling by transmembrane pressure and permeability over a long-term experiment. Sep Purif Technol 122:297–305CrossRef
    Suarez JA, Veza JM (2000) Dead-end microfiltration as advanced treatment for wastewater. Desalination 127:47–58CrossRef
    Trussell RS, Adham S, Trussell RR (2005) Process limits of municipal wastewater treatment with the submerged membrane bioreactor. J Environ Eng 131:410–416CrossRef
    Vanrolleghem PA, Van Daele M, Dochain D (1995) Practical identifiability of a biokinetic model of activated sludge respiration. Water Res 29(11):2561–2570CrossRef
    Wang Z, Ma J, Tang CY et al (2014) Membrane cleaning in membrane bioreactors: a review. J Membr Sci 468:276–307CrossRef
    Wu J, He C, Jiang X, Zhang M (2011) Modeling of the submerged membrane bioreactor fouling by the combined pore constriction, pore blockage and cake formation mechanisms. Desalination 279:127–134CrossRef
    Xiao K, Wang X, Huang X et al (2011) Combined effect of membrane and foulant hydrophobicity and surface charge on adsorptive fouling during microfiltration. J Membr Sci 373(1–2):140–151CrossRef
    Xu K, Ren H, Ding L et al (2013) A review of membrane fouling in municipal secondary effluent reclamation. Environ Sci Pollut Res 20:771–777CrossRef
    Zarragoitia-Gonzalez A, Schetrite S, Alliet M et al (2008) Modelling of submerged membrane bioreactor: conceptual study about link between activated sludge biokinetics, aeration and fouling process. J Membr Sci 325:612–624CrossRef
  • 作者单位:Gianpaolo Sabia (1)
    Marco Ferraris (1)
    Alessandro Spagni (1)

    1. ENEA, Water Resources Management Laboratory, via M.M. Sole, 4, 40129, Bologna, Italy
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Environment
    Environment
    Atmospheric Protection, Air Quality Control and Air Pollution
    Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
    Industrial Pollution Prevention
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1614-7499
文摘
This study proposes a model-based evaluation of the effect of different operating conditions with and without pre-denitrification treatment and applying three different solids retention times on the fouling mechanisms involved in membrane bioreactors (MBRs). A total of 11 fouling models obtained from literature were used to fit the transmembrane pressure variations measured in a pilot-scale MBR treating real wastewater for more than 1 year. The results showed that all the models represent reasonable descriptions of the fouling processes in the MBR tested. The model-based analysis confirmed that membrane fouling started by pore blocking (complete blocking model) and by a reduction of the pore diameter (standard blocking) while cake filtration became the dominant fouling mechanism over long-term operation. However, the different fouling mechanisms occurred almost simultaneously making it rather difficult to identify each one. The membrane “history” (i.e. age, lifespan, etc.) seems the most important factor affecting the fouling mechanism more than the applied operating conditions. Nonlinear regression of the most complex models (combined models) evaluated in this study sometimes demonstrated unreliable parameter estimates suggesting that the four basic fouling models (complete, standard, intermediate blocking and cake filtration) contain enough details to represent a reasonable description of the main fouling processes occurring in MBRs. Keywords Membrane bioreactor Monitoring Transmembrane pressure Filtration Model Fouling mechanism
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