Investigation of the effects of membrane fouling control strategies with the integrated membrane bioreactor model

Journal of Membrane Science

Volumn 429, Issue , 2013, Pages 268-281

  Suh, Changwon ^a   Lee, Seokheon ^b   Cho, Jinwoo ^c  

^a Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^b Korea Institute of Science and Technology   (South Korea)

^c Sejong University   (South Korea)

Author keywords

Aeration energy; Benchmark simulation model; Membrane bioreactor; Modeling; Optimization

Indexed keywords

ACTIVATED SLUDGE MODEL; AERATION ENERGY; COARSE BUBBLE AERATION; ENERGY REQUIREMENTS; FOULING CONTROL; INTEGRATED MEMBRANE BIOREACTOR; MEMBRANE BIOREACTOR; MEMBRANE FILTRATIONS; MODELING APPROACH; OPERATING CONDITION; OPTIMIZATION PROBLEMS; OPTIMIZING ENERGY; PERMEATE FLUX; PHYSICAL PROCESS; SIMULATION MODEL; SUBMERGED MEMBRANE BIOREACTORS;

ACTIVATED SLUDGE PROCESS; BIOREACTORS; CLEANING; MEMBRANE FOULING; MICROFILTRATION; MODELS; OPTIMIZATION;

COMPUTER SIMULATION;

DISSOLVED OXYGEN; NITRATE;

ACTIVATED SLUDGE; AERATION; ARTICLE; BIOMASS; BIOREACTOR; CONCENTRATION (PARAMETERS); FOULING CONTROL; MEMBRANE FILTER; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SIMULATION; STEADY STATE; SUBMERGED MEMBRANE BIOREACTOR MODEL;

EID: 84871583735     PISSN: 03767388     EISSN: 18733123     Source Type: Journal    
DOI: 10.1016/j.memsci.2012.11.042     Document Type: Article

References (72)

1. Stephenson T., Judd S., Jefferson B., Brindle K. Membrane Bioreactors for Wastewater Treatment 2000, IWA, London.
2. Gander M., Jefferson B., Judd S. Aerobic MBRs for domestic wastewater treatment: a review with cost considerations. Sep. Purif. Technol. 2000, 18:119-130.
3. Judd S.J., Judd C. The MBR Book: Principles and Applications of Membrane Bioreactors in Water and Wastewater Treatment 2006, Elsevier, Boston.
4. Trussell R.S., Merlo R.P., Hermanowicz S.W., Jenkins D. The effect of organic loading on process performance and membrane fouling in a submerged membrane bioreactor treating municipal wastewater. Water Res. 2006, 40:2675. (Erratum in Water Res. 40 (2006) 3479-3482).
5. van Dijk L., Roncken G.C.G. Membrane bioreactors for wastewater treatment: the state of the art and new developments. Water Sci. Technol. 1997, 35:35-41.
6. Verrecht B., Judd S., Guglielmi G., Brepols C., Mulder J.W. An aeration energy model for an immersed membrane bioreactor. Water Res. 2008, 42:4761-4770.
7. Verrecht B., Maere T., Nopens I., Brepols C., Judd S. The cost of a large-scale hollow fiber MBR. Water Res. 2010, 44:5274-5283.
8. Gil J.A., Tua L., Rueda A., Montano B., Rodriguez M., Prats D. Monitoring and analysis of the energy cost of an MBR. Desalination 2010, 250:997-1001.
9. Cornel P., Wagner M., Krause S. Investigation of oxygen transfer rates in full scale membrane bioreactors. Water Sci. Technol. 2003, 47:313-319.
10. Ueda T., Hata K., Kikuoka Y., Seino O. Effects of aeration on suction pressure in a submerged membrane bioreactor. Water Res. 1997, 31:489-494.
11. Hong S.P., Bae T.H., Tak T.M., Hong S., Randall A. Fouling control in activated sludge submerged hollow fiber membrane bioreactors. Desalination 2002, 143:219-228.
12. Han S.S., Bae T.H., Jang G.G., Tak T.M. Influence of sludge retention time on membrane fouling and bioactivities in membrane bioreactor system. Process Biochem. 2005, 40:2393-2400.
13. Bae T.H., Han S.S., Tak T.M. Membrane sequencing batch reactor system for the treatment of dairy industry wastewater. Process Biochem. 2003, 39:221-231.
14. Buetehorn S., Utiu L., Kuppers M., Blumich B., Wingtens T., Wessling M., Melin T. NMR imaging of local cumulative permeate flux and local cake growth in submerged micrifiltration processes. J. Membr. Sci. 2011, 371:53-64.
15. Bella G.D., Mannina G., Viviani G. An integrated model for physical-biological wastewater organic removal in a submerged membrane bioreactor: model development and parameter estimation. J. Membr. Sci. 2008, 322:1-12.
16. Zarragoitia-González A., Schetrite S., Alliet M., Jáuregui-Haza U., Albasi C. Modelling of submerged membrane bioreactor: conceptual study about link between activated slugde biokinetics, aeration and fouling process. J. Membr. Sci. 2008, 325:612-624.
17. Fletcher H., Mackley T., Judd S. The cost of a package plant membrane bioreactor. Water Res. 2007, 41:2627-2635.
18. Yoon S.H., Kim H.S., Yeom I.T. The optimum operational condition of membrane bioreactor (MBR): cost estimation of aeration and sludge treatment. Water Res. 2004, 38:37-46.
19. Wen X.H., Xing C.H., Qian Y. A kinetic model for the prediction of sludge formation in a membrane bioreactor. Process Biochem. 1999, 35:249-254.
20. Maere T., Verrecht B., Moerenhout S., Judd S., Nopens I. BSM-MBR: a benchmark simulation model to compare control and operational strategies for membrane bioreactors. Water Res. 2011, 45:2181-2190.
21. J.B. Copp, The COST Simulation Benchmark-Description and Simulator Manual, in, Office for Official Publications of the European Communies, Luxembourg, 2002.
22. Flores-Alsina X., Rodriguez-Roda I., Sin G., Gernaey K.V. Uncertainty and sensitivity analysis of control strategies using the benchmark simulation model no. 1 (BSM1). Water Sci. Technol. 2009, 59:491-499.
23. Shen W.H., Chen X.Q., Corriou J.P. Application of model predictive control to the BSM1 benchmark of wastewater treatment process. Comput. Chem. Eng. 2008, 32:2849-2856.
24. Volcke E.I.P., van Loosdrecht M.C.M., Vanrolleghem P.A. Interaction between control and design of a SHARON reactor: economic considerations in a plant-wide (BSM2) context. Water Sci. Technol. 2007, 56:117-125.
25. Stare A., Vrecko D., Hvala N., Strmcnik S. Comparison of control strategies for nitrogen remova in an activated sludge process in terms of operating costs: a simulation study. Water Res. 2007, 41:2004-2014.
26. Yong M., Yongzhen P., Jeppsson U. Dynamic evaluation of integrated control strategies for enhanced nitrogen removal in activated sludge processes. Control Eng. Pract. 2006, 14:1269-1278.
27. T. Maere, B. Verrecht, L. Benedetti, P.T. Pham, S. Judd, I. Nopens, Building a benchmark simulation model to compare control strategies for membrane bioreactors: BSM-MBR, in: Proceedings of the 5th IWA Specialised Membrane Technology Conference for Water end Wastewater Treatment, Beijing, China, 2009.
28. Janus T., Ulanicki B. Modelling SMP and EPS formation and degradation kinetics with an extended ASM3 model. Desalination 2010, 261:117-125.
29. Laspidou C.S., Rittmann B.E. A unified theory for extracellular polymeric substances, soluble microbial products, and active and inert biomass. Water Res. 2002, 36:2711-2720.
30. Laspidou C.S., Rittmann B.E. Non-steady state modeling of extracellular polymeric substances, soluble microbial products, and active and inert biomass. Water Res. 2002, 36:1983-1992.
31. Aquino S.F., Stuckey D.C. Integrated model of the production of soluble microbial products (SMP) and extracellular polymeric substances (EPS) in anaerobic chemostats during transient conditions. Biochem. Eng. J. 2008, 38:138-146.
32. Li X.Y., Wang X.M. Modelling of membrane fouling in a submerged membrane bioreactor. J. Membr. Sci. 2006, 278:151-161.
33. Mannina G., Bella G.D., Viviani G. An integrated model for biological and physical process simulation in membrane bioreactor (MBRs). J. Membr. Sci. 2011, 376:50-69.
34. Ng A.N.L., Kim A.S. A mini-review of modeling studies on membrane bioreactor (MBR) treatment for municipal wastewaters. Desalination 2007, 212:261-281.
35. Krauth K., Staab K.F. Pressurized bioreactor with membrane filtration for waste-water treatment. Water Res. 1993, 27:405-411.
36. Pollice A., Brookes A., Jefferson B., Judd S. Sub-critical flux fouling in membrane bioreactons-a review of recent literature. Desalination 2005, 174:221-230.
37. Rosenberger S., Kubin K., Kraume M. Rhelogy of activated sludge in membrane bioreactors. Eng. Life Sci. 2002, 2:269-275.
38. Chu H.P., Li X.Y. Membrane fouling in a membrane bioreactor (MBR): sludge cake formation and fouling characteristics. Biotechnol. Bioeng. 2005, 90:323-331.
39. Bowen W.R., Calvo J.I., Hernandez A. Steps of membrane blocking in flux decline during protein microfiltration. J. Membr. Sci. 1995, 101:153-165.
40. Cho J.W., Song K.G., Ahn K.H. The activated sludge and microbial substances influences on membrane fouling in submerged membrane bioreactor: unstirred batch cell test. Desalination 2005, 183:425-429.
41. Duranceau S.J. Membrane Practices for Water Treatment 2001, American Water Works Association, Denver, Colorado. First ed.
42. Tchobanoglous G., Burton F.L., Stensel H.D. Wastewater Engineering: Treatment and Reuse. New York 2003, McGraw-Hill Science.
43. M. Henze, M. Loosdrecht, G.A. Ekama, D. Brdjanovic, Biological Wastewater Treatment: Principles, Modelling and Design, IWA Publishing, London, 2008.
44. Krampe J., Krauth K. Oxygen transfer into activated sludge with high MLSS concentrations. Water Sci. Technol. 2003, 47:297-303.
45. Germain E., Nelles F., Drews A., Pearce R., Kraume M., Reid E., Judd S.J., Stephenson T. Biomass effects on oxygen transfer in membrane bioreactors. Water Res. 2007, 41:1038-1044.
46. Fenu A., Roels J., Wambecq T., De Gussem K., Thoeye C., De Gueldre G., Van De Steene B. Energy audit of a full scale MBR system. Desalination 2010, 262:121-128.
47. Judd S.J., Judd C. The MBR Book: Principles and Applications of Membrane Bioreactors in Water and Wastewater Treatment 2011, Elsevier, Oxford. Second edition.
48. J.W. Cho, Model development for a submerged membrane bio-reactor with the effect of extracellular polymeric substances, Ph.D. Thesis, School of Civil, Urban and Geosystem Engineering, Seoul National University, Seoul, Korea, 2004.
49. Verrecht B., Maere T., Benedetti L., Nopens I., Judd S. Model-based energy optimisation of a small-scale decentralised membrane bioreactor for urban reuse. Water Res. 2010, 44:4047-4056.
50. M. Henze, W. Gujer, T. Mino, M.van Loosdrecht, Activated Sludge Models ASM1, ASM2, ASM2d and ASM3, IWA Publishing, London, UK, 2000.
51. Rahimi Y., Torabian A., Mehrdadi N., Habibi-Rezaie M., Pezeshk H., Nabi-Bidhendi G.-R. Optimizing aeration rates for minimizing membrane fouling and its effect on sludge characteristics in a moving bed membrane bioreactor. J. Hazard. Mater. 2011, 186:1097-1102.
52. Munz G., Gualtiero M., Salvadori L., Claudia B., Lubello C. Process efficiency and microbial monitoring in MBR (membrane bioreactor) and CASP (conventional activated sludge process) treatment of tannery wastewater. Bioresour. Technol. 2008, 99:8559-8564.
53. Drews A., Mante J., Iversen V., Vocks M., Lesjean B., Kraume M. Impact of ambient conditions on SMP elimination and rejection in MBRs. Water Res. 2007, 41:3850-3858.
54. Holakoo L., Nakhla G., Bassi A.S., Yanful E.K. Long term performance of MBR for biological nitrogen removal from synthetic municipal wastewater. Chemosphere 2007, 66:849-857.
55. Ahmed Z., Cho J., Lim B.R., Song K.G., Ahn K.H. Effects of sludge retention time on membrane fouling and microbial community structure in a membrane bioreactor. J. Membr. Sci. 2007, 287:211-218.
56. Menniti A., Morgenroth E. Mechanisms of SMP production in membrane bioreactors: choosing an appropriate mathematical model structure. Water Res. 2010, 44:5240-5251.
57. Cho B.D., Fane A.G. Fouling transients in nominally sub-critical flux operation of a membrane bioreactor. J. Membr. Sci. 2002, 209:391-403.
58. Zhang J., Chua H.C., Zhou J., Fane A.G. Factors affecting the membrane performance in submerged membrane bioreactors. J. Membr. Sci. 2006, 284:54-66.
59. Hwang B.K., Lee W.N., Yeon K.M., Park P.K., Lee C.H., Chang I.S., Drews A., Kraume M. Correlating TMP increases with microbial characteristics in the bio-cake on the membrane surface in a membrane bioreactor. Environ. Sci. Technol. 2008, 42:3963-3968.
60. P. Cornel, S. Krause, State of the Art of MBR in Europe, Technical Note of National Institute for Land and Infrastructure Management, 186, 2004, pp. 151-162.
61. J.W. Mulder, Operational Experiences with the Hybrid MBR Heenvliet, a Smart Way of Retrofitting, in: T.L.B. Lesjean (Ed.), Final MBR network Workshop, Berlin, Germany, 2009.
62. Drews A., Arellano-Garcia H., Schoneberger J., Schaller J., Wozny G., Kraume M. Model-based recognition of fouling mechanisms in membrane bioreactors. Desalination 2009, 236:224-233.
63. A. Kitanaka, N. Matsuka, T. Uemura, P. Kyeppers, MBR process using high-performance PVDF flat-sheet membrane. Energy cost analysis and results from full scale systems, in: Proceedings of the IWA Regional Conference and Exhibition on Membrane Technology & Water Reuse, Istanbul, Turkey, 2010.
64. S. Churchouse, Membrane bioreactor: going from laboratory to large scale-problems to clear solutions, in: Proceeding in Membranes and the Environment, University of Oxford, 2002.
65. Meng F.G., Yang F.L., Shi B.Q., Zhang H.M. A comprehensive study on membrane fouling in submerged membrane bioreactors operated under different aeration intensities. Sep. Purif. Technol. 2008, 59:91-100.
66. Trussell R.S., Merlo R.P., Hermanowicz S.W., Jenkins D. Influence of mixed liquor properties and aeration intensity on membrane fouling in a submerged membrane bioreactor at high mixed liquor suspended solids concentrations. Water Res. 2007, 41:947-958.
67. Germain E., Stephenson T., Pearce P. Biomass characteristics and membrane aeration: toward a better understanding of membrane fouling in submerged membrane bioreactors (MBRs). Biotechnol. Bioeng. 2005, 90:316-322.
68. Hwang B.K., Lee W.N., Park P.K., Lee C.H., Chang I.S. Effect of membrane fouling reducer on cake structure and membrane permeability in membrane bioreactor. J. Membr. Sci. 2007, 288:149-156.
69. Meng F.G., Zhang H.M., Yang F.L., Liu L.F. Characterization of cake layer in submerged membrane bioreactor. Environ. Sci. Technol. 2007, 41:4065-4070.
70. van Griensven A., Meixner T., Grunwald S., Bishop T., Diluzio A., Srinivasan R. A global sensitivity analysis tool for the parameters of multi-variable catchment models. J. Hydrol. 2006, 324:10-23.
71. Holvoet K., van Griensven A., Seuntjens P., Vanrolleghem P.A. Sensitivity analysis for hydrology and pesticide supply towards the river in SWAT. Phys. Chem. Earth 2005, 30:518-526.
72. Ji L., Zhou J.T. Influence of aeration on microbial polymers and membrane fouling in submerged membrane bioreactors. J. Membr. Sci. 2006, 276:168-177.