On the Use of Mathematical Models for Wastewater Treatment: A Review and Analysis of Activated Sludge Models ASM1 and ASM3

Year 2021, Volume: 8 Issue: 1, 1 - 18, 07.03.2021

Başak Savun-hekimoğlu

https://doi.org/10.30897/ijegeo.794643

Cited By: 3

Abstract

Mathematical models describing the dynamics of key biochemical processes in conventional activated sludge processes are commonly used to design and operate wastewater treatment plants. Since the introduction of the first activated sludge model, namely Activated Sludge Model No. 1 (ASM1), in 1987 by the International Water Association, ASM models received considerable attention and several extensions were suggested. In this study, we briefly review the literature on two important activated sludge models, ASM1 and ASM3. Our literature review indicates that despite the presence of many articles on ASM there is no study on the parameter sensitivity of these differential equation models. In the second part of the study, these two models are simulated in MATLAB with different initial values and parameter combinations to develop further insight into the model structures. In the third part of the study, experiments with ASM1 and ASM3 models are conducted in MATLAB and a basic sensitivity analysis is applied for the parameters of the two models.

Keywords

ASM models, Activated sludge process, ASM1, ASM3

Supporting Institution

Istanbul University Research Fund (BAP)

Project Number

MAB-2019-34967

References

• Brdjanovic, D., Meijer, S. C., Lopez-Vazquez, C. M., Hooijmans, C. M., & van Loosdrecht, M. C. (Eds.). (2015). Applications of activated sludge models. Iwa Publishing.
• Brun, R., Kühni, M., Siegrist, H., Gujer, W., & Reichert, P. (2002). Practical identifiability of ASM2d parameters—systematic selection and tuning of parameter subsets. Water research, 36(16), 4113-4127.
• Choubert, J. M., Stricker, A. E., Marquot, A., Racault, Y., Gillot, S., & Héduit, A. (2009). Updated Activated Sludge Model n° 1 Parameter Values for Improved Prediction of Nitrogen Removal in Activated Sludge Processes: Validation at 13 Full‐scale Plants. Water Environment Research, 81(9), 858-865.
• Copp, J. B., Spanjers, H., & Vanrolleghem, P. A. (Eds.). (2002). Respirometry in control of the activated sludge process: benchmarking control strategies (No. 11). IWA publishing.
• Draper, N. R., & Smith, H. (1998). Applied regression analysis (Vol. 326). John Wiley & Sons.
• Drewnowski, J., Szeląg, B., Xie, L., Lu, X., Ganesapillai, M., Deb, C. K., & Łagód, G. (2020). The Influence of COD Fraction Forms and Molecules Size on Hydrolysis Process Developed by Comparative OUR Studies in Activated Sludge Modelling. Molecules, 25(4), 929.
• Gernaey, K. V., van Loosdrecht, M. C., Henze, M., Lind, M., & Jørgensen, S. B. (2004). Activated sludge wastewater treatment plant modelling and simulation: state of the art. Environmental Modelling & Software, 19(9), 763-783.
• Ghorbani, M., & Eskicioglu, C. (2011). Application of the International Water Association activated sludge models to describe aerobic sludge digestion. Environmental technology, 32(16), 1923-1938.
• Gujer, W. (2008). Transformation Processes. Systems Analysis for Water Technology, 77-100.
• Guisasola, A., Sin, G., Baeza, J. A., Carrera, J., & Vanrolleghem, P. A. (2005). Limitations of ASM1 and ASM3: a comparison based on batch oxygen uptake rate profiles from different full-scale wastewater treatment plants. Water Science and Technology, 52(10-11), 69-77.
• Hauduc, H., Rieger, L., Oehmen, A., Van Loosdrecht, M. C. M., Comeau, Y., Héduit, A. & Gillot, S. (2013). Critical review of activated sludge modeling: state of process knowledge, modeling concepts, and limitations. Biotechnology and Bioengineering, 110(1), 24-46.
• Hauduc, H., Rieger, L., Oehmen, A., Van Loosdrecht, M. C. M., Comeau, Y., Héduit, A., & Gillot, S. (2013). Critical review of activated sludge modeling: state of process knowledge, modeling concepts, and limitations. Biotechnology and Bioengineering, 110(1), 24-46.
• Hauduc, H., Rieger, L., Takács, I., Héduit, A., Vanrolleghem, P. A., & Gillot, S. (2010). A systematic approach for model verification: application on seven published activated sludge models. Water Science and Technology, 61(4), 825-839.
• Hekimoğlu, M., & Barlas, Y. (2016). Sensitivity analysis for models with multiple behavior modes: a method based on behavior pattern measures. System Dynamics Review, 32(3-4), 332-362.
• Henze, M., Grady Jr, C. L., Gujer, W., Marais, G. V. R., & Matsuo, T. (1987). A general model for single-sludge wastewater treatment systems. Water research, 21(5), 505-515.
• Henze, M., Gujer, W., Mino, T., & van Loosdrecht, M. C. (2000). Activated sludge models ASM1, ASM2, ASM2d and ASM3. IWA publishing.
• Van Loosdrecht, M. C. M., Lopez-Vazquez, C. M., Meijer, S. C. F., Hooijmans, C. M., & Brdjanovic, D. (2015). Twenty-five years of ASM1: past, present and future of wastewater treatment modelling. Journal of Hydroinformatics, 17(5), 697-718.
• Makinia, J., & Zaborowska, E. (2020). Mathematical modelling and computer simulation of activated sludge systems. IWA publishing.
• Mhlanga, F. T. (2008). Modelling of the Marianridge Wastewater Treatment Plant (Doctoral dissertation, University of KwaZulu-Natal, Durban).
• Mulas, M. (2006). Modelling and control of activated sludge processes. Università degli Studi di Cagliari. Petersen, B., Vanrolleghem, P. A., Gernaey, K., & Henze, M. (2002). Evaluation of an ASM1 model calibration procedure on a municipal–industrial wastewater treatment plant. Journal of Hydroinformatics, 4(1), 15-38.
• Rieger, L., Gillot, S., Langergraber, G., Ohtsuki, T., Shaw, A., Takacs, I., & Winkler, S. (2012). Guidelines for using activated sludge models. IWA publishing.
• Shahriari, H., Eskicioglu, C., & Droste, R. L. (2006). Simulating activated sludge system by simple-to-advanced models. Journal of Environmental Engineering, 132(1), 42-50.
• Wu, X., Yang, Y., Wu, G., Mao, J., & Zhou, T. (2016). Simulation and optimization of a coking wastewater biological treatment process by activated sludge models (ASM). Journal of environmental management, 165, 235-242.