Membrane and Water Treatment

  • 제9권3호
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  • Pages.155-162
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  • 2018
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  • 2005-8624(pISSN)
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  • 2092-7037(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Development of a WWTP influent characterization method for an activated sludge model using an optimization algorithm

  • 투고 : 2018.10.13
  • 심사 : 2018.04.28
  • 발행 : 2018.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

Process modeling with activated sludge models (ASMs) is useful for the design and operational improvement of biological nutrient removal (BNR) processes. Effective utilization of ASMs requires the influent fraction analysis (IFA) of the wastewater treatment plant (WWTP). However, this is difficult due to the time and cost involved in the design and operation steps, thereby declining the simulation reliability. Harmony Search (HS) algorithm was utilized herein to determine the relationships between composite variables and state variables of the model IWA ASM1. Influent fraction analysis was used in estimating fractions of the state variables of the WWTP influent and its application to 9 wastewater treatment processes in South Korea. The results of influent $S_s$ and $Xs+X_{BH}$, which are the most sensitive variables for design of activated sludge process, are estimated within the error ranges of 8.9-14.2% and 3.8-6.4%, respectively. Utilizing the chemical oxygen demand (COD) fraction analysis for influent wastewater, it was possible to predict the concentrations of treated organic matter and nitrogen in 9 full scale BNR processes with high accuracy. In addition, the results of daily influent fraction analysis (D-IFA) method were superior to those of the constant influent fraction analysis (C-IFA) method.

키워드

과제정보

연구 과제 주관 기관 : Korea Institute of Energy Technology Evaluation and Planning (KETEP)

참고문헌

  1. Alex, J., Benedetti, L., Copp, J., Gernaey, K.V., Jeppsson, U., Nopens, I., Pons, M.N., Rieger, L., Rosen, C., Steyer, J.P., Vanrolleghem, P. and Winkler, S. (2008), "Benchmark simulation model no.1 (BSM1)", Report by the IWA Taskgroup on Benchmarking of Control Strategies for WWTPs, 19-20.
  2. Fangyue, L., Joachim, B., Knut, W. and Ralf, O. (2009), "Evaluation of factors influencing soluble microbial product in submerged MBR through hybrid ASM model,", Front. Environ. Sci. En., 3(2), 226-235. https://doi.org/10.1007/s11783-009-0008-5
  3. Flores-Alsina, X., Corominas, L., Neumann, M.B. and Vanrolleghem, P.A. (2012), "Assessing the use of activated sludge process design guidelines in wastewater treatment plant projects: A methodology based on global sensitivity analysis", Environ. Modell. Softw., 38, 50-58. https://doi.org/10.1016/j.envsoft.2012.04.005
  4. Geem, Z.W. (2010), "Research commentary: Survival of the fittest algorithm or the novelest algorithm", J. Appl. Metaheuristic Comput., 1(4), 50-60. https://doi.org/10.4018/jamc.2010040104
  5. Henze, M., Grady, C.P.L., Gujer, W., Marais, G.V.R. and Matsuo, T. (1987), "A general model for single-sludge wastewater treatment systems", Water Res., 21(5), 505-515. https://doi.org/10.1016/0043-1354(87)90058-3
  6. Henze, M., Gujer, W., Mino, T. and van Loosdrecht, M. (2000), "Activated sludge models ASM1, ASM2, ASM2D and ASM3", IWA Scientific and Technical Report No. 9; IWA Publishing, 54.
  7. Henze, M., Gujer, W., Mino, T., Matsuo, T., Wentzel, M.C., Marais, G.V.R. and van Loosdrecht, M.C. (1999), "Activated sludge model no. 2d, ASM2d", Water Sci. Technol., 39(1), 165-182. https://doi.org/10.1016/S0273-1223(98)00829-4
  8. Hulsbeek, J.J.W., Kruit, J., Roeleveld, P.J. and van Loosdrecht, M.C.M. (2002), "A practical protocol for dynamic modelling of activated sludge systems", Water Sci. Technol., 45(6), 127-136.
  9. Jeppsson, U. (1996), "Modelling aspects of wastewater treatment processes", Ph.D. Dissertation, Lund Institute of Technology, Lund, Sweden.
  10. Kaelin, D., Manser, R., Rieger, L., Eugster, J., Rottermann, K. and Siegrist, H. (2009), "Extension of ASM3 for two-step nitrification and denitrification and its calibration and validation with batch tests and pilot scale data", Water Res., 43(6), 1680-1692. https://doi.org/10.1016/j.watres.2008.12.039
  11. Kim, J.H. and Geem, Z.W. (2015), "Harmony Search Algorithm", Proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA 2015), Seoul, South Korea, August.
  12. Mannina, G., Cosenza, A., Vanrolleghem, P.A. and Viviani, G.A. (2011), "Practical protocol for calibration of nutrient removal wastewater treatment models", J. Hydroinform., 13(4), 575-595. https://doi.org/10.2166/hydro.2011.041
  13. Marquot, A., Stricker, A.E. and Racault, Y. (2006), "ASM1 dynamic calibration and long term-validation for an intermittently aerated WWTP", Water Sci. Technol., 53(12), 247-256. https://doi.org/10.2166/wst.2006.427
  14. Marsili-Libelli, R.P., Spagni, A. and Bortone, G. (2001), "Implementation, study and calibration of a modified ASM2d for the simulation of SBR processes", Water Sci. Technol., 43(3), 69-76.
  15. Pak, G.J., Jung, M.J., Lee, H.S., Kim, D.W., Yoon, J.Y. and Paik, K.R. (2012), "Statistical characteristics and stochastic modeling of water quality data at the influent of Daejeon wastewater treatment plant", J. Korean Soc. Water Environ., 28(1), 38-49.
  16. Pasztor, I., Thury, P. and Pulai, J. (2009), "Chemical oxygen demand fractions of municipal wastewater for modeling of wastewater treatment", J. Environ. Sci. Technol., 6(1), 53-54.
  17. Petersen, B. (2001), "Calibration, identifiability and optimal experimental design of activated sludge models", Ph.D. Dissertation, BIOMATH, Ghent University, Ghent, Belgium.
  18. Rieger, L., Gillot, S., Langergraber, G., Ohtsuki, T., Shaw, A., Takacs, I. and Winkler, S. (2013), Guidelines for Using Activated Sludge Models, IWA Publishing, U.K.
  19. Satoh, H., Okuda, E., Mino, T. and Matsuo, T. (2000), "Calibration of kinetic parameters in the IAWQ activated sludge model: a pilot scale experience", Water Sci. Technol., 42(3-4), 29-34.
  20. Shuai, M., Siyu, Z., Xin, D., Jining, C. and Gustaf, O. (2015), "Modification of the activated sludge model for chemical dosage", Front. Environ. Sci. En., 9(4), 694-701. https://doi.org/10.1007/s11783-014-0732-3
  21. Sin, G. (2004), "Systematic calibration of activated sludge models", Ph.D Dissertation, Ghent University, Ghent, Belgium.
  22. Sin, G., Van Hulle, S.W.H., De Pauw, D.J.W., van Griensven, A. and Vanrolleghem, P.A. (2005), "A critical comparison of systematic calibration protocols for activated sludge models: A SWOT analysis", Water Res., 39(12), 2459-2474. https://doi.org/10.1016/j.watres.2005.05.006