Model-based evaluation of an on-line control strategy for SBRs based on OUR and ORP measurements

Water Science and Technology

Volumn 53, Issue 4-5, 2006, Pages 161-169

  Corominas, Ll ^a   Sin, G ^b   Puig, S ^a   Traore, A ^a   Balaguer, M ^a   Colprim, J ^a   Vanrolleghem, P A ^b  

^a UNIVERSITY OF GIRONA   (Spain)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

Denitrification; Modelling and calibration; Nitrification; Process control; SBR operation

Indexed keywords

CALIBRATION; CHEMICAL REACTORS; DENITRIFICATION; MATHEMATICAL MODELS; NITRIFICATION; ONLINE SYSTEMS; PROCESS CONTROL;

CALIBRATED MECHANISTIC MODEL; ON-LINE CONTROL STRATEGY; SEQUENCING BATCH REACTOR (SBR) OPERATION;

WASTEWATER TREATMENT;

OXYGEN;

CALIBRATION; CHEMICAL REACTORS; DENITRIFICATION; MATHEMATICAL MODELS; NITRIFICATION; ONLINE SYSTEMS; PROCESS CONTROL; WASTEWATER TREATMENT;

BIOREACTOR; CONTROL SYSTEM; DENITRIFICATION; NITRIFICATION; NUMERICAL MODEL; WASTEWATER; WATER TREATMENT;

AERATION; AEROBIC METABOLISM; ANAEROBIC METABOLISM; ARTICLE; CALIBRATION; COMPUTER PROGRAM; CONTROL STRATEGY; CONTROLLED STUDY; COST CONTROL; EFFLUENT; MATHEMATICAL COMPUTING; MEASUREMENT; ONLINE SYSTEM; OXIDATION REDUCTION POTENTIAL; OXYGEN CONSUMPTION; PROCESS CONTROL; PROCESS OPTIMIZATION; REFERENCE VALUE; SEQUENCING BATCH REACTOR; VALIDATION STUDY; VOLUMETRY; WASTE WATER; WASTE WATER MANAGEMENT;

BIOREACTORS; CALIBRATION; CONSERVATION OF ENERGY RESOURCES; MODELS, BIOLOGICAL; NITROGEN; ONLINE SYSTEMS; OXIDATION-REDUCTION; OXYGEN; WASTE DISPOSAL, FLUID;

EID: 33646731107     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.2166/wst.2006.120     Document Type: Article

References (25)

1. Andreottola, G., Foladori, P. and Ragazzi, M. (2001). On-line control of a SBR system for nitrogen removal from industrial wastewater. Wat. Sci. Tech., 43(3), 93-100.
2. Chang, C.H. and Hao, O.J. (1996). Sequencing batch reactor system for nutrient removal: ORP and pH profiles. J. Chem. Tech. Biotechnol., 67, 27-38.
3. Copp, J. (ed.) (2001). The COST Simulation Benchmark: Description and Simulator Manual. Office for Official Publications of the European Community, Luxembourg, pp. 154, ISBN 92-894-1658-0.
4. Copp, J.B., Spanjers, H., Vanrolleghem, P.A., Kim, C.-W., Bortone, P., von Sperling, M., Newell, B. and Olsson, G. (2002). Respirometry in Control of the Activated Sludge Process: Benchmarking Control Strategies. IWA Scientific and Technical Report No. 11, ISBN 1-900222-51-5, IWA Publishing, London, UK, p. 192.
5. Corominas, Ll., Rubio, M., Puig, S., Vives, M.T., Melendez, J., Colomer, J., Balaguer, M.D. and Coprim, J. (2004). On-line optimisation of step-feed operation of an urban wastewater nitrogen removal SBR by on-line OUR determination and ORP analysis. Preprints of 6th Specialist Conference on Small Water and Wastewater Systems, Freemantle, Australia, February 2004.
6. Corominas, Ll., Sin, G., Balaguer, M.D., Colprim, J. and Vanrolleghem, P.A. (2005). Calibration and validation of a N-removing SBR only using online measuremently of DO and historical off-line data. Preprints of IWA Specialist Conference BNR2005, 19-21 September, Krakow, Poland.
7. Demuynck, C., Vanrolleghem, P., Mingueau, C., Liessens, J. and Verstraete, W. (1994). NDBEPR process optimization in SBRs: reduction of external carbon-source and oxygen supply. Wat. Sci. Tech., 30(4), 169-179.
8. Henze, M., Gujer, W., Mino, T. and van Loosdrecht M.C.M. (2000). Activated sludge models ASM1, ASM2, ASM2d and ASM3. In IWA Scientific and Technical Report No. 9, IWA, London.
9. Hydromantis (2003). GPS-X Technical Reference, Hydromantis, Inc., Ontario.
10. Kishida, N., Kim, J.H., Chem, M., Sasaki, H. and Sudo, R. (2003). Effectiveness of oxidation-reduction potential and pH as monitoring and control parameters for nitrogen removal in swine wastewater treatment by sequencing batch reactors. J. Biosci. Bioeng., 96(3), 285-290.
11. Mace, S. and Mata-Alvarez, J.R. (2002). Utilization of SBR technology for wastewater treatment: An overview. Ind. Eng.Chem Res., 41(23), 5539-5553.
12. Olsson, G., Aspegren, H. and Nielsen, M.K. (1998). Operation and control of wastewater treatment - a Scandinavian perspective over 20 years. Wat. Sci. Tech., 37(12), 1-13.
13. Puig, S., Vives, M.T., Corominas, Ll., Balaguer, M.D. and Colprim, J. (2004). Wastewater nitrogen removal in SBRs applying a step-feed strategy: from lab-scale to pilot plant operation. Wat. Sci. Tech., 50(10), 89-96.
14. Puig, S., Corominas, Ll., Vives, M.T., Colomer, J., Balaguer, M.D. and Colprim, J. (2005). Development and implementation of a real-time control system for nitrogen removal using OUR and ORP as endpoints. Ind. Eng. Chem. Res., 44, 3367-3373.
15. Puig, S., Corominas, Ll., Traore, A., Colomer, J., Balaguer, M.D. and Colprim, J. (2006). An on-line optimization of an SBR cycle for carbon and nitrogen removal based on on-line pH and OUR: the role of dissolved oxygen control. Wat. Sci. Tech., 53(4-5), 171-178 (following article).
16. Sin, G. (2004). Systematic calibration of activated sludge models. PhD Thesis, University of Gent.
17. Sin, G., Insel, G., Lee, D.S. and Vanrolleghem, P.A. (2004). Optimal but robust N and P removal in SBRs: A systematic study of operating scenarios. Wat. Sci. Tech., 50(10), 97-105.
18. Sin, G., Govoreanu, R., Boon, N., Schelstraete, G. and Vanrolleghem, P.A. (2005). Evaluation of the impacts of model-based operation of SBRs on activated sludge microbial community. 4th IWA Activated Sludge Population Dynamics Specialist Conference, 17-20 July 2005, Gold Coast, Australia.
19. Sin, G., Villez, K. and Vanrolleghem, P.A. (2006). Application of a model-based optimisation methodology for nutrient removing SBRs leads to falsification of the model. Wat. Sci. Tech., 53(4-5), 95-103 (this issue).
20. Vanrolleghem, P. and Coen, F. (1995). Optimal design of in-sensor-experiments for on-line modelling. Wat. Sci. Tech., 31(2), 149-160.
21. Vanrolleghem, P.A., Insel, G., Petersen, B., Sin, G., De Pauw, D., Nopens, I., Doverman, H., Weijers, S. and Gernaey, K.(2003). A comprehensive model calibration procedure for activated sludge models. Proceedings 76th Annual WEF Conference and Exposition, Los Angeles, USA, 11-15 October, 2003, (on CD-ROM).
22. Vanrolleghem, P.A., Sin, G. and Gernaey, K.V. (2004). Transient response of aerobic and anoxic activated sludge activities to sudden substrate concentration changes. Biotechnol. Bioeng., 88(3), 277-290.
23. Vives, M.T., Balaguer, M.D., Colprim, J. (2004). Step-feed optimization for wastewater carbon and nitrogen removal in SBRs: process robustness and adjustment to wastewater quality. Preprints of the 3rd International Specialised Conference on Sequencing Batch Reactor Technology, 22-26 February 2004, Noosa, Queensland, Australia.
24. Yu, R.F., Liaw, S.L., Chang, C.N., Lu, H.J. and Cheng, W.Y. (1998). Applying real-time control to enhance the performance of nitrogen removal in the continuous-flow SBR system. Wat. Sci. Tech., 38(3), 271-280.
25. Yuan, Z. and Blackall, L. (2002). Sludge population optimization: a new dimension for the control of biological wastewater treatment systems. Wat. Res., 36, 482-490.