A Calibration Approach towards Reducing ASM2d Parameter Subsets in Phosphorus Removal Processes
Commenced in January 2007
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Edition: International
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A Calibration Approach towards Reducing ASM2d Parameter Subsets in Phosphorus Removal Processes

Authors: N.Boontian

Abstract:

A novel calibration approach that aims to reduce ASM2d parameter subsets and decrease the model complexity is presented. This approach does not require high computational demand and reduces the number of modeling parameters required to achieve the ASMs calibration by employing a sensitivity and iteration methodology. Parameter sensitivity is a crucial factor and the iteration methodology enables refinement of the simulation parameter values. When completing the iteration process, parameters values are determined in descending order of their sensitivities. The number of iterations required is equal to the number of model parameters of the parameter significance ranking. This approach was used for the ASM2d model to the evaluated EBPR phosphorus removal and it was successful. Results of the simulation provide calibration parameters. These included YPAO, YPO4, YPHA, qPHA, qPP, μPAO, bPAO, bPP, bPHA, KPS, YA, μAUT, bAUT, KO2 AUT, and KNH4 AUT. Those parameters were corresponding to the experimental data available.

Keywords: ASM2d, calibration approach, iteration methodology, sensitivity, phosphorus removal

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070175

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[1] Henze M, Gujer W, Mino T, van Loosdrecht MCM. 2000. Activated Sludge Models ASM1, ASM2, ASM2d and ASM3. IWA Scientific and Technical Report No. 9. IWA Publishing. London, UK.
[2] Ruano MV, Ribes J, De Pauw DJW, Sin G. 2007. Parameter subset selection for the dynamic calibration of activated sludge models (ASMs): Experience versus systems analysis. Water Science and Technology 56:107-115.
[3] Henze M, Gujer W, Mino T, Matsuo T, Wentzel MC, Marais GVR, Van Loosdrecht MCM. 1999. Activated Sludge Model No.2d, ASM2d. Water Science and Technology 39:165-182.
[4] Brun R, Reichert P, K├╝nsch HR. 2001. Practical identifiability analysis of large environmental simulation models. Water Resour Res 37:1015- 1030.
[5] Brun R, K├╝hni M, Siegrist H, Gujer W, Reichert P. 2002. Practical identifiability of ASM2d parameters - Systematic selection and tuning of parameter subsets. Water Res 36:4113-4127.
[6] Machado VC, Tapia G, Gabriel D, Lafuente J, Baeza JA. 2009. Systematic identifiability study based on the Fisher Information Matrix for reducing the number of parameters calibration of an activated sludge model. Environmental Modelling and Software 24:1274-1284.
[7] Weijers SR, Vanrolleghem PA. 1997. A procedure for selecting best identifiable parameters in calibrating Activated Sludge Model No. 1 to full-scale plant data. Water Science and Technology 36:69-79.
[8] Melcer H, Dold PL, Jones RM, Bye CM, Takacs I, Stensel HD, Wilson AW, Sun P, and Bury S. 2003. Methods for wastewater characterization in activated sludge modelling. Water Environ. Res. Found (WERF). Alexandria, VA, USA.
[9] Vanrolleghem PA, Insel G, Petersen B, Sin G, De Pauw D, Nopens I, Weijers S and Gernaey KI, 2003 A comprehensive model calibration procedure for activated sludge model. In Proceedings: of the 76th Annual WEF Technical Exhibition and Conference (WEFTEC2003). Los Angeles, CA, USA, October 11-15, 2003, (on CD-ROM)
[10] Langergraber G, Rieger L, Winkler S, Alex J, Wiese J, Owerdieck C, Ahnert M, Simon J, Maurer M. 2004. A guideline for simulation studies of wastewater treatment plants. Water Science and Technology 50:131- 138.
[11] Sin G, Guisasola A, De Pauw DJW, Baeza JA, Carrera J, Vanrolleghem PA. 2005. A new approach for modelling simultaneous storage and growth processes for activated sludge systems under aerobic conditions. Biotechnol Bioeng 92:600-613.
[12] García-Usach F, Ferrer J, Bouzas A, Seco A. 2006. Calibration and simulation of ASM2d at different temperatures in a phosphorus removal pilot plant. Water Science and Technology 53:199-206.
[29]
[13] Mino T, Van Loosdrecht MCM, Heijnen JJ. 1998. Microbiology and biochemistry of the enhanced biological phosphate removal process. Water Res 32:3193-3207.
[14] Seviour RJ, Mino T, Onuki M. 2003. The microbiology of biological phosphorus removal in activated sludge systems. FEMS Microbiol Rev 27:99-127.
[15] Soejima K, Matsumoto S, Ohgushi S, Naraki K, Terada A, Tsuneda S, Hirata A. 2008. Modeling and experimental study on the anaerobic/aerobic/anoxic process for simultaneous nitrogen and phosphorus removal: The effect of acetate addition. Process Biochemistry 43:605-614.
[16] Hamada K, Kuba T, Torrico V, Okazaki M, Kusuda T. 2006. Comparison of nutrient removal efficiency between pre- and postdenitrification wastewater treatments. Water Science and Technology 53:169-175.
[17] Vaiopoulou E, Aivasidis A. 2008. A modified UCT method for biological nutrient removal: Configuration and performance. Chemosphere 72:1062-1068.
[18] Reichert P, Vanrolleghem P. 2001. Identifiability and uncertainty analysis of the River Water Quality Model No. 1 (RWQM1). Water Science and Technology 43:329-338.
[19] Reichert P. 1994. Aquasim - A tool for simulation and data analysis of aquatic systems. Water Science and Technology 30:21-30.
[20] Reichert P. 2003. UNCSIM - A program package for statistical inference and sensitivity, identifiability, and uncertainty ananlysis, Dubendorf, CH: Swiss Federal Institute for Environmental Science and Technology (EAWAG).
[21] Reichert P. 2006. A standard interface between simulation programs and systems analysis software. Water Science and Technology 53:267-275.
[22] Libelli SM, Ratini P, Spagni A, Bortone G. 2001. Implementation, study and calibration of a modified ASM2d for the simulation of SBR processes. Water Science and Technology 43:69-76.
[23] Smolders GJF, Van Loosdrecht MCM, Heijnen JJ. 1995. A metabolic model for the biological phosphorus removal process. Water Science and Technology 31:79-93.
[24] Barker PS, Dold PL. 1997. General model for biological nutrient removal activated-sludge systems: Model presentation. Water Environ Res 69:969-984.
[25] Penya-Roja JM, Seco A, Ferrer J, Serralta J. 2002. Calibration and validation of activated sludge model no.2d for Spanish municipal wastewater. Environ Technol 23:849-862.
[26] Dudley J, Buck G, Ashley R, Jack A. 2002. Experience and extensions to the ASM2 family of models. Water Science and Technology 45:177- 186.
[27] Lopez C, Morgenroth E. 2003. Modeling the performance of enhanced biological phosphorus removal systems under dynamic loading conditions using different mathematical models. WEFTEC 2003, 76th Annual Conference of the Water Environment Federation, Los Angeles.
[28] Manga J, Ferrer J, Garcia-Usach F, Seco A. 2001. A modification to the activated sludge model no. 2 based on the competition between phosphorus-accumulating organisms and glycogen accumulating organisms. Water Science and Technology 43:161-171.
[29] Ferrer J, Morenilla JJ, Bouzas A, García-Usach F. 2004. Calibration and simulation of two large wastewater treatment plants operated for nutrient removal. Water Science and Technology 50:87-94.
[30] Schuler AJ. 2005. Diversity matters: Dynamic simulation of distributed bacterial states in suspended growth biological wastewater treatment systems. Biotechnol Bioeng 91:62-74.
[31] Insel G, Sin G, Lee DS, Nopens I, Vanrolleghem PA. 2006. A calibration methodology and model-based systems analysis for SBRs removing nutrients under limited aeration conditions. Journal of Chemical Technology and Biotechnology 81:679-687.
[32] Sin G, De Pauw DJW, Weijers S, Vanrolleghem PA. 2008. An efficient approach to automate the manual trial and error calibration of activated sludge models. Biotechnol Bioeng 100(3):516-528.
[33] Yagci N, Insel G, Tasli R, Artan N, Randall CW, Orhon D. 2006. A new interpretation of ASM2d for modeling of SBR performance for enhanced biological phosphorus removal under different P/HAc ratios. Biotechnol Bioeng 93:258-270.
[34] Makinia J, Rosenwinkel K-, Spering V 2006. Comparison of two model concepts for simulation of nitrogen removal at a full-scale biological nutrient removal pilot plant. J Environ Eng 132(4):476-87.
[35] Hulsbeek JJW, Kruit J, Roeleveld PJ, Van Loosdrecht MCM 2002. A practical protocol for dynamic modelling of activated sludge systems. Water Science and Technology 45(6):127-36.
[36] Manga J, Ferrer J, Seco A, Garcia-Usach F. 2003. Design of nutrient removal activated sludge systems. Water Science and Technology 47:115-122.