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Model-Based Control of the Ammonia Nitrogen Removal Process in a Wastewater Treatment Plant

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Case Studies in Control

Part of the book series: Advances in Industrial Control ((AIC))

Abstract

This chapter investigates what benefits could be achieved from model-based ammonia nitrogen controllers in wastewater treatment plants (WWTPs) in comparison with PI controllers. The controllers addressed are a model-based feedforward-feedback controller and a model predictive controller (MPC). Validation of the controllers was performed both in simulation and on a real plant in the context of various performance criteria related to an effluent ammonia limit violation and air consumption. The simulation results indicate that the feedforward-feedback controller and MPC result in reduced air consumption compared to the PI controller while achieving the same or better ammonia removal. When model-based ammonia controllers are applied to a full scale pilot plant they have to be simplified and properly accommodated. The application of controllers confirmed that the feedforward-feedback controller and MPC give better results than the PI controller. The main reason for this lies in the fact that they use the additional measurable disturbance of the influent ammonia. Interestingly, at the real plant poorer results are obtained with the MPC than with the feedforward-feedback controller. The explanation for this could be associated with the various limitations in applying a more complex MPC in a real environment.

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References

  1. Alex J, Tschepetzki R, Jumar U (2002) Predictive control of nitrogen removal in WWTP using parsimonious models. In: Proceedings 15th IFAC world congress on automatic control, Barcelona, Spain

    Google Scholar 

  2. Åstrom KJ, Hägglund T (1995) PID controllers: theory, design and tuning. ISA, International Society for Measurement and Control

    Google Scholar 

  3. Charef A, Ghauch A, Martin-Bouyer M (2000) An adaptive and predictive control strategy for an activated sludge process. Bioprocess Biosyst Eng 23(5):529–534

    Article  Google Scholar 

  4. Copp JB (2002) The COST simulation Benchmark—description and simulator manual. ISBN 92-894-1658-0. Office for Official Publications of the European Communities, Luxembourg

    Google Scholar 

  5. Gerkšič S, Strmčnik S, van den Boom T (2008) Feedback action in predictive control: an experimental case study. Control Eng Pract 16(3):321–332

    Article  Google Scholar 

  6. Henze M, Gujer W, Mino T, van Loosdrecht M (2000) Activated sludge models ASM1, ASM2, ASM2d and ASM3. IWA Publishing, London

    Google Scholar 

  7. Henze M, Harremoës P, la Cour Jansen J, Arvin E (2001) Wastewater treatment, biological and chemical processes, 3rd edn. Springer, Berlin

    Google Scholar 

  8. Hoen K, Shuhen M, Köhne M (1996) Control of nitrogen removal in wastewater treatment plants with predenitrification, depending on the actual purification capacity. Water Sci Technol 33(1):223–236

    Article  Google Scholar 

  9. Holenda B, Domokos E, Redey A, Fazakas J (2008) Dissolved oxygen control of the activated sludge wastewater treatment process using model predictive control. Comput Chem Eng 32:1270–1278

    Article  Google Scholar 

  10. Ingildsen P (2002) Realising full-scale control in wastewater treatment systems using in situ nutrient sensors. PhD thesis, Department of Industrial Electrical Engineering and Automation, Lund University, Sweden

    Google Scholar 

  11. Kandare G, Nevado Reviriego A (2011) Adaptive predictive expert control of dissolved oxygen concentration in a wastewater treatment plant. Water Sci Technol 64(5):1130–1136

    Article  Google Scholar 

  12. Krause K, Böcker K, Londong J (2002) Simulation of a nitrification control concept considering influent ammonium load. Water Sci Technol 45(4–5):413–420

    Google Scholar 

  13. Lindberg CF (1997) Control and estimation strategies applied to the activated sludge process. PhD Thesis, Department of Systems and Control, Uppsala University, Sweden

    Google Scholar 

  14. Maciejowski JM (2002) Predictive control with constraints. Prentice Hall, Harlow

    Google Scholar 

  15. Marsili-Libelli S, Giunti L (2002) Fuzzy predictive control for nitrogen removal in biological wastewater treatment. Water Sci Technol 45(4–5):37–44

    Google Scholar 

  16. Meyer U, Popel HJ (2003) Fuzzy-control for improved nitrogen removal and energy saving in wwt-plants with pre-denitrification. Water Sci Technol 47(11):69–76

    Google Scholar 

  17. O’Brien M, Mack J, Lennox B, Lovett D, Wall A (2011) Model predictive control of an activated sludge process: a case study. Control Eng Pract 19:54–61

    Article  Google Scholar 

  18. Ødegaard H, Rusten B, Westrum T (1994) A new moving bed biofilm reactor—applications and results. Water Sci Technol 29(10–11):157–165

    Google Scholar 

  19. Olsson G, Newell B (1999) Wastewater treatment systems, modelling, diagnosis and control. IWA Publishing, London

    Google Scholar 

  20. Peng Y, Vrančić D, Hanus R (1996) Anti-windup, bumpless, and conditioned transfer techniques for PID controllers. Control Syst Mag 16:48–57

    Article  Google Scholar 

  21. Piotrowski R, Brdys MA, Konarczak K, Duzinkiewicz K, Chotkowski W (2008) Hierarchical dissolved oxygen control for activated sludge processes. Control Eng Pract 16:114–131

    Article  Google Scholar 

  22. Rosen C, Larsson M, Jeppsson U, Yuan Z (2002) A framework for extreme-event control in wastewater treatment. Water Sci Technol 45(4–5):299–308

    Google Scholar 

  23. Shen W, Chen X, Pons MN, Corriou J (2009) Model predictive control for wastewater treatment process with feedforward compensation. Chem Eng J 155(1–2):161–174

    Article  Google Scholar 

  24. Shinskey FG (1988) Process control systems. McGraw-Hill, New York

    Google Scholar 

  25. Sotomayor Oscar AZ, Park Song W, Garcia C (2002) MPC control of a predenitrification plant using linear subspace models. Comput-Aided Chem Eng 10:553–558

    Article  Google Scholar 

  26. Stare A, Vrečko D, Hvala N (2006) Modeling, identification, and validation of models for predictive ammonia control in a wastewater treatment plant—a case study. ISA Trans 45:159–174

    Article  Google Scholar 

  27. Stare A, Vrečko D, Hvala N, Strmčnik S (2007) Comparison of control strategies for nitrogen removal in an activated sludge process in terms of operating costs. Water Res 41(9):2004–2014

    Article  Google Scholar 

  28. Steffens MA, Lant PA (1999) Multivariable control of nutrient-removing activated sludge systems. Water Res 33(12):2864–2878

    Article  Google Scholar 

  29. Suescun J, Ostolaza X, Garcia-Sanz M, Ayesa E (2000) Real-time control strategies for predenitrification—nitrification activated sludge plants biodegradation control. Water Sci Technol 45(4–5):453–460

    Google Scholar 

  30. Takács I, Patry GG, Nolasco D (1991) A dynamic model of the clarification thickening process. Water Res 25(10):1263–1271

    Article  Google Scholar 

  31. Thornton A, Sunner N, Haeck M (2010) Real time control for reduced aeration and chemical consumption: a full scale study. Water Sci Technol 61(9):2169–2175

    Article  Google Scholar 

  32. Vrečko D, Hvala N, Carlsson B (2003) Feedforward-feedback control of an activated sludge process—a simulation study. Water Sci Technol 47(12):19–26

    Google Scholar 

  33. Vrečko D, Hvala N, Gerkšič S (2004) Multivariable predictive control of an activated sludge process with nitrogen removal. In: Proceedings of the 9th international symposium on computer applications in biotechnology, Nancy, France

    Google Scholar 

  34. Vrečko D, Hvala N, Stare A, Burica O, Stražar M, Levstek M, Cerar P, Podbevšek S (2006) Improvement of ammonia removal in activated sludge process with feedforward-feedback aeration controllers. Water Sci Technol 53(4–5):125–132

    Google Scholar 

  35. Vrečko D, Hvala N, Stražar M (2011) The application of model predictive control of ammonia nitrogen in an activated sludge process. Water Sci Technol 64(5):1115–1121

    Article  Google Scholar 

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Acknowledgements

The financial support of the Ministry of Education, Science, and Sport of the Republic of Slovenia, and the Slovenian Research Agency and European Commission (SMAC project, contract EVK1-CT-2000-00056) are gratefully acknowledged.

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Vrečko, D., Hvala, N. (2013). Model-Based Control of the Ammonia Nitrogen Removal Process in a Wastewater Treatment Plant. In: Strmčnik, S., Juričić, Đ. (eds) Case Studies in Control. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-5176-0_5

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  • DOI: https://doi.org/10.1007/978-1-4471-5176-0_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5175-3

  • Online ISBN: 978-1-4471-5176-0

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