Evaluation of Diagnosis-based Control Strategy for NH4-N and NOX-N Removal of a Full-scale Wastewater Treatment Process

하수처리시설의 질산화 진단기반 제어 방법의 개발 및 실규모 플랜트 적용을 통한 평가

  • Kim, Yejin (Department of Environmental Engineering, Catholic University of Pusan) ;
  • Kim, Hyosoo (Environsoft Co., Ltd.)
  • 김예진 (부산가톨릭대학교 환경공학과) ;
  • 김효수 ((주)엔바이론소프트)
  • Received : 2018.05.09
  • Accepted : 2018.06.18
  • Published : 2018.06.30


In this research, the target process was a modified type of a conventional aeration tank with four different influent feeding points and alternated aeration to obtain nitrogen removal. For more accurate switching of influent feeding, the process was operated under a designed control strategy based on monitoring of $NH_4-N$ and $NO_X-N$ concentrations in the tank. However, the strategy did have some limitations. For example, it was not sensitive to detecting the end of each reaction when losing the balance between nitrification and denitrification of each opposite part of biological tank. To overcome the limitations of the existing control strategy, a diagnosis-based control strategy was suggested in this research using the diagnosis results classified as normal (N), ammonia accumulation (AA) and nitrate accumulation (NA). Using the pre-designed rules for control actions, the aeration and volume of the aerated part of the reactor could be increased or decreased at a fixed mode time. In simulations of the suggested diagnosis-based control strategy, the $NH_4-N$ and $NO_X-N$ removal rates in the reactor were maintained at higher levels than those of the existing control strategy.


Supported by : 부산가톨릭대학교


  1. Zhao, H., Isaacs, S. H., Soeberg, H., Kummel, M., 1994b, A Novel control strategy for improved nitrogen removal in an alternating activated sludge process PART II. Control development, Water Res., 28(3), 535-5442.
  2. Lee, S. H., Ko, J. H., Kim, J. R., Kim, Y. J., Lee, J. J., Kim, C. W., Lee, T. H., 2006, Identification of the adverse effect of nitrate on the phosphate release rate and improvement of EBPR process models, Water Sci. Technol., 53(4-5), 115-123.
  3. Lukasse, L. J. S., Keesman, K. J., Van Straten, G., 1999, A Recursively identified model for short-term predictions of $NH_4/NO_3$ concentrations in alternating activated sludge processes, J. Process Contr., 9, 87-100.
  4. Paul, E., Plisson-Saune, S., Mauret, M., Gantet, J., 1998, Process state evaluation of alternating oxic-anoxic activated sludge using ORP, pH and DO, Water Sci. Technol., 38(3), 299-306.
  5. Poo, K. M., Im, J. H., Jun, B. H., Kim, J. R., Hwang, I. S., Choi, K. S., Kim, C. W., 2006, Full-cyclic control strategy of SBR for nitrogen removal in strong wastewater using common sensors, Water Sci. Technol., 53(4-5), 151-160.
  6. San Martin, J. A. D., Bournazou, M. N. C., Neubauer, P., Barz, T., 2014, Mixed integer optimal control of an intermittently aerated sequencing batch reactor for wastewater treatment, Comput. Chem. Eng., 71(4), 298-306.
  7. Sharma, S., 1995, Applied multivariate techniques. John Wiley & Sons, Inc., USA, 237-246.
  8. Takacs, I., Patry, G. G., Nolasco, D., 1991, A Dynamic model of the clarification-thickening process, Water Res., 25(10), 1263-1271.
  9. Thomsen, H. A., Nielsen, M. K., Nielsen, E. H., Hansen, N. P., 1998, Load dependent control of BNR-WWTP by dynamic changes of aeration volumes, Water Sci. Technol., 37(12), 157-164.
  10. Park, J. R., Gee, J. S., Yoon, Y. H., Ko, K. B., Ahn, S. W., Min, K. J., 2008, Process evaluation of HASP with IMET system through SNR and SDNR for the efficient management of sewage treatment plant, Wat. Pract. Technol., 3(1), 1-7.
  11. Kim, H. S., Kim, Y. J., Kim, M. S., Piao, W., Gee, J. S., Kim, C. W., 2014, Performance evaluation of a full-scale advanced phase isolation ditch process by using real-time control strategies, Kor. J. Chem. Eng., 31(4), 611-618.
  12. Kim, H. O., McAvoy, T. J., Anderson, J. S., Hao, O. J., 2000, Control of an alternating aerobic-anoxic activated sludge system Part 2: Optimization using a linearized model, Control Eng. Pract., 8, 279-289.
  13. Zhao, H., Isaacs, S. H., Soeberg, H., Kummel, M., 1994a, A Novel control strategy for improved nitrogen removal in an alternating activated sludge process PART II. Control development, Water Res., 28(3), 521-534.
  14. Hong, K. H., Kang, S. W., Hur, J. M., Han, S. B., Sunwoo, Y., Chang, D., 2008, Effect of cycle length and phase fraction on biological nutrients removal in temporal and spatial phase separated process, J. Ind. Eng. Chem., 14(4), 520-525.
  15. Isaacs, S., Thornberg, D., 1998a, A Comparison between model and rule based control of a periodic activated sludge process, Water Sci. Technol., 37(12), 343-351.
  16. Isaacs, S., Thornberg, D., 1998b, Rule based control of a periodic activated sludge process, Water Sci. Technol., 38(3), 281-289.
  17. Kim, H., Kim, Y., Cha, J., Min, K., Gee, J., Kim, C., 2009, Model-based evaluation of control strategies for phosphorus removal in a full-scale advanced phase isolation ditch process, Water Sci. Technol., 60(4), 879-888.
  18. Kim, H. S., Kim, Y. J., Chen, S. P., Baek, G. D., Kim, S. S., Kim, C. W., 2012, Evaluation of model-based control strategy based on generated setpoint schedules for $NH_4$-N removal in a pilot-scale A2/O process, Chem. Eng. J., 203, 387-397.