Development of a decision tree for the integrated operation of nutrient removal MBRs based on simulation studies and expert knowledge

Chemical Engineering Journal

Volumn 217, Issue , 2013, Pages 174-184

  Dalmau, Montserrat ^a   Rodriguez Roda, Ignasi ^a   Ayesa, Eduardo ^b   Odriozola, Juan ^b   Sancho, Luís ^b   Comas, Joaquim ^a  

^a UNIVERSITY OF GIRONA   (Spain)

^b CEIT   (Spain)

Author keywords

Integrated operation; MBR; Modelling; Optimization; Scenario analysis; Sensitivity; Simulation

Indexed keywords

INTEGRATED OPERATIONS; MBR; SCENARIO ANALYSIS; SENSITIVITY; SIMULATION;

CARBON; ELECTRIC RESISTANCE; MODELS; NUTRIENTS; OPTIMIZATION; PILOT PLANTS; SENSITIVITY ANALYSIS;

DECISION TREES;

EID: 84871390550     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2012.11.060     Document Type: Article

References (36)

1. Judd S., Judd C. The MBR Book: Principles and Applications of Membrane Bioreactors for Water and Wastewater Treatment 2010, Elsevier, Oxford, UK. second ed.
2. Rivas A., Irizar I., Ayesa E. Model-based optimisation of wastewater treatment plants design. Environ. Modell. Softw. 2008, 23:435-450.
3. Henze M., Gujer W., Mino T., Van Loosdrecht M.C.M. Activated Sludge Models ASM1, ASM2, ASM2d and ASM3 2000, IWA Publishing, London.
4. J.B. Copp, The COST Simulation Benchmark: Description and Simulator Manual, Luxembourg, 2002.
5. Nopens I., Benedetti L., Jeppsson U., Pons M.N., Alex J., Copp J.B., Gernaey K.V., Rosen C., Steyer J.P., Vanrolleghem P.A. Benchmark Simulation Model No 2: finalisation of plant layout and default control strategy. Water Sci. Technol. 2010, 62:1967-1974.
6. Gillot S., Ohtsuki T., Rieger L., Shaw A., Takacs I., Winkler S. Development of a unified protocol for good modelling practice in activated sludge modelling. Influents 2009, 4:70-72.
7. Tian Y., Chen L., Zhang S., Zhang S. A systematic study of soluble microbial products and their fouling impacts in membrane bioreactors. Chem. Eng. J. 2011, 168:1093-1102.
8. Naessens W., Maere T., Nopens I. Critical review of membrane bioreactor models - part 1: biokinetic and filtration models. Bioresour. Technol. 2012, 122:95-106.
9. Fenu A., Guglielmi G., Jimenez J., Sperandio M., Saroj D., Lesjean B., Brepols C., Thoeye C., Nopens I. Activated sludge model (ASM) based modelling of membrane bioreactor (MBR) processes: a critical review with special regard to MBR specificities. Water Res. 2010, 44:4272-4294.
10. Fenu A., Wambecq T., Thoeye C., De Gueldre G., Van de Steene B. Modelling soluble microbial products (SMPs) in a dynamic environment. Desalin. Water Treat. 2011, 29:210-217.
11. Jiang T., Myngheer S., De Pauw D.J.W., Spanjers H., Nopens I., Kennedy M.D., Amy G., Vanrolleghem P.A. Modelling the production and degradation of soluble microbial products (SMP) in membrane bioreactors (MBR). Water Res. 2008, 42:4955-4964.
12. T. Jiang, Characterization and Modelling of Soluble Microbial Products in Membrane Bioreactors, Doctoral Thesis, Ghent University, Belgium, 2007.
13. Mannina G., Di Bella G., Viviani G. An integrated model for biological and physical process simulation in membrane bioreactors (MBRs). J. Membrane Sci. 2011, 376:56-69.
14. 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.
15. 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.
16. Fang F., Ni B.J., Li W.W., Sheng G.P., Yu H.Q. A simulation-based integrated approach to optimize the biological nutrient removal process in a full-scale wastewater treatment plant. Chem. Eng. J. 2011, 174:635-643.
17. Guerrero J., Guisasola A., Comas J., Rodriguez-Roda I., Baeza J.A. Multi-criteria selection of optimum WWTP control setpoints based on microbiology-related failures, effluent quality and operating costs. Chem. Eng. J. 2012, 188:23-29.
18. Wu J., He C., Zhang Y. Modeling membrane fouling in a submerged membrane bioreactor by considering the role of solid, colloidal and soluble components. J. Membrane Sci. 2012, 397-398:102-111.
19. Naessens W., Maere T., Ratkovich N., Vedantam S., Nopens I. Critical review of membrane bioreactor models - Part 2: Hydrodynamic and integrated models. Bioresour. Technol. 2012, 122:107-118.
20. Marti E., Monclús H., Jofre J., Rodriguez-Roda I., Comas J., Balcázar J.L. Removal of microbial indicators from municipal wastewater by a membrane bioreactor (MBR). Bioresour. Technol. 2011, 102:5004-5009.
21. Comas J., Rodríguez-Roda I., Sànchez-Marrè M., Cortés U., Freixó A., Arráez J., Poch M. A knowledge-based approach to the deflocculation problem: integrating on-line, off-line, and heuristic information. Water Res. 2003, 37:2377-2387.
22. American Public Health Association (APHA) Standard Methods for the Examination of Water and Wastewater 2005, American Water Works Association (AWWA) & Water Environment Federation (WEF), USA. 21st ed.
23. Henze M., Gujer W., Mino T., Matsuo T., Wentzel M.C., Marais G.V.R., Van Loosdrecht M.C.M. Activated sludge model no. 2d, ASM2d. Water Sci. Technol. 1999, 39:165-182.
24. Vanhooren H., Meirlaen J., Amerlink Y., Claeys F., Vangheluwe H., Vanrolleghem P.A. WEST: modelling biological wastewater treatment. J. Hydroinform. 2003, 5:27-50.
25. H. Hauduc, M.B. Neumann, D. Muschalla, V. Gamerith, S. Gillot, P.A. Vanrolleghem, Towards quantitative quality criteria to evaluate simulation results in wastewater treatment - a critical review, in: Watermatex'11, 8th IWA Symposium on Systems Analysis and Integrated Assesment, San Sebastian, Spain, 2011, p. 46.
26. U. Jeppsson, Aeration and mixing energy for BSM1, BSM1_LT and BSM2, Benchmark International Report, 2005. http://benchmarkwwtp.org.
27. Audenaert W.T.M., Vermeersch Y., Van Hulle S.W.H., Dejans P., Dumoulin A., Nopens I. Application of a mechanistic UV/hydrogen peroxide model at full-scale: sensitivity analysis, calibration and performance evaluation. Chem. Eng. J. 2011, 171:113-126.
28. Benedetti L., Prat P., Nopens I., Poch M., Turon C., De Baets B., Comas J. A new rule generation method to develop a decision support system for integrated management at river basin scale. Water Sci. Technol. 2009, 60:2035-2040.
29. Hulsbeek J.J.W., Kruit J., Roeleveld P.J., van Loosdrecht M.C.M. A practical protocol for dynamic modelling of activated sludge systems. Water Sci. Technol. 2002, 45:127-136.
30. Wu J.L., Le-Clech P., Stuetz R.M., Fane A.G., Chen V. Effects of relaxation and backwashing conditions on fouling in membrane bioreactor. J. Membrane Sci. 2008, 324:26-32.
31. Drews A. Membrane fouling in membrane bioreactors-characterisation, contradictions, cause and cures. J. Membr. Sci. 2010, 363:1-28.
32. Verrecht B., Maere T., Nopens I., Brepols C., Judd S. The cost of a large-scale hollow fibre MBR. Water Res. 2010, 44:5274-5283.
33. 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.
34. Ferrero G., Monclus H., Buttiglieri G., Gabarron S., Comas J., Rodriguez-Roda I. Development of a control algorithm for air-scour reduction in membrane bioreactors for wastewater treatment. J. Chem. Technol. Biotechnol. 2011, 86:784-789.
35. Saltelli A., Tarantola S., Campolongo F., Ratto M. Sensitivity Analysis in Practice. A Guide to Assessing Scientific Models 2004, Ed. John Wiley & Sons Ltd., Chichester, UK.
36. Metzger U., Le-Clech P., Stuetz R.M., Frimmel F.H., Chen V. Characterisation of polymeric fouling in membrane bioreactors and the effect of different filtration modes. J. Membrane Sci. 2007, 301:180-189.