Journal of the Korean Society of Urban Environment (한국도시환경학회지)

The Korean Society of Urban Environment (한국도시환경학회)
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Evaluation of Operational Options of Wastewater Treatment Using EQPS Models

EQPS 모델을 이용한 하수처리장 운전 평가

  • Yoo, Hosik (Department of Environmental and Energy Eng., Kyonggi University) ;
  • Ahn, Seyoung (Water Engineering & Consulting, Inc.)
  • 유호식 (경기대학교 환경에너지공학과) ;
  • 안세영 ((주)수엔지니어링앤컨설팅)
  • Received : 2018.11.30
  • Accepted : 2018.12.21
  • Published : 2018.12.31
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Abstract

EQPS (Effluent Quality Prediction System, Dynamita, France) was applied to analyze the appropriateness of the design of a bioreactor in A sewage treatment plant. A sewage treatment plant was designed by setting the design concentration of the secondary clarifier effluent to total nitrogen and total phosphorus, 10 mg/L and 1.8 mg/L, respectively, in order to comply with the target water quality at the level of the hydrophilic water. The retention time of the 4-stage BNR reactor was 9.6 hours, which was 0.5 for the pre-anoxic tank, 1.0 for the anaerobic tank, 2.9 for the anoxic tank, and 5.2 hours for the aerobic tank. As a result of the modeling of the winter season, the retention time of the anaerobic tank was increased by 0.2 hours in order to satisfy the target water quality of the hydrophilic water level. The default coefficients of the one step nitrification denitrification model proposed by the software manufacturer were used to exclude distortion of the modeling results. Since the process modeling generally presents optimal conditions, the retention time of the 4-stage BNR should be increased to 9.8 hours considering the bioreactor margin. The accurate use of process modeling in the design stage of the sewage treatment plant is a way to ensure the stability of the treatment performance and efficiency after construction of the sewage treatment plant.

하수처리 공정모델링 소프트웨어인 EQPS(Effluent Quality Prediction System, Dynamita, France)를 적용하여 A하수처리시설 생물반응조 설계의 적합성을 분석하였다. A하수처리장은 친수용수 수준의 목표수질을 준수하기 위하여 이차침전지 유출수 설계농도를 총질소와 총인, 각 10 mg/L, 1.8 mg/L로 설정하여 설계하였다. 4-Stage BNR 공정인 반응조의 체류시간은 총 9.6시간으로 전무산소조 0.5, 혐기조 1.0, 무산소조 2.9, 호기조 5.2시간이었다. 동절기 공정모델링 결과 친수용수 수준의 목표수질을 만족하기 위하여 혐기조의 체류시간을 0.2시간 늘렸고 당초 설계조건이던 외부탄소원 비상시 주입을 상시적으로 주입해야 하는 것으로 조사되었다. 모델링 결과의 왜곡을 배제하기 위하여 소프트웨어 제조사가 제시한 one step nitrification denitrification 모델의 Default 계수를 사용하였다. 공정모델링은 대체적으로 최적의 상태를 제시하기 때문에 생물반응조 여유율을 고려하면 4-Stage BNR의 체류시간은 9.8시간보다 증가시켜야 한다. 하수처리장 설계단계에서 공정 모델링의 정확한 사용은 하수처리장 건설 후 처리성능과 효율의 안정성을 담보할 수 있는 방법이므로 설계단계에서 철저한 평가가 필요하다.

Keywords

References

  1. Sewerage Act & Regulations - Effluent Water Quality Standards of Domestic Wastewater Treatment Plants
  2. Ekama, G. A. and Marais, G.v.R, The dynamic behaviour of the activated sludge Process, Research Report W27, Dept. of Civil Eng., University of Cape Town, Rondebosch, 7701, RSA (1978)
  3. International Water Association, Activated Sludge Models ASM1, ASM2. ASM2D and ASM3, Scientific and Technical Report No. 9, IWA Task Group on Mathematical Modelling for Design and Operation of Biological Wastewater Treatment (2000)
  4. Byonghi Lee, Partial nitrification of high nitrogen wastewater in the contact stabilization process, University of Florida, Ph. D. Thesis (1992)
  5. "CDM Smith," http://cdmsmith.com/en/Insights/Viewpoints/Process-Modeling-Simulates-Wastewater-Treatment-System-Behavior.aspx (June, 2015)
  6. Metcalf & Eddy/Aecom Wasteater Engineering - Treatment and Resource Recovery, McGraw-Hill, NY, USA, pp. 742-751 (2014)
  7. Brdjanovic, D., Loosdrecht, M. C. M. VAN, Versteef P, Hooijman, C. M., Alaerts, G. J., and Heijen, J. J., "Modeling COD, N and P Removal in a Fill-Scale WWTP Haarlem Waarderpolder," Water Research, 34(3), 846-857 (2000). https://doi.org/10.1016/S0043-1354(99)00219-5
  8. Hwang, E. J., Lee, C. G., and Lee, B. H., "Application of the integrated model of ASM3 and ADM1 in Wastewater Treatment Plant," Korean Society of Water&Wastewater.Korean Society on Water Environment, Proceedings of 2007 KSWW & kSWE Fall Meeting, ilsan, pp. F-102-F-103 (2007).
  9. An, S. Y. and Kim, J. J., "Computer Modeling of Activated Sludge Process in Jungnang Municipal Wastewater Treatment Plant," Korean Society of Environmental Engineers, Proceedings of 2004 KSEE Spring Meeting, Busan, pp. 358-361 (2004).
  10. Paik, B.-C. and Jin, H.-J., "A Study on The Design of Petrochemical Wastewater Treatment Process by Computer Simulation," Journal of Korea Society of Urban EnvironmentKorea Society of Urban Environment, 8(1), 29-36 (2008).
  11. Jeong, C. H., Sim, Y. S., Kim, T. H., and Park, C. H., "Evaluation of External Carbon Source on the 2 stage Denitrification Process by Simulation of GPS-X," Journal of Korea Society of Urban Environment Korean Society of Water&Wastewater, 18(1), 37-48 (2004).
  12. Lee, U.-G., Gil, K.-I., Han, J.-O., and Ko, J.-H., "A Study on Optimum Operating Condition for Efficient Nitrogen removal at WWTP in Winter days," Korean Society of Water&Wastewater.Korean Society on Water Environment, Proceedings of 2006 KSWW & kSWE Fall Meeting, Deagu, pp. A-47-A-53(2006).
  13. Kim, M. J., Kim, M. H., Kim, Y. S., and Yoo, C. K., "Design of a Wastewater Treatment Plant Upgrading to Advanced Nutrient Removal Treatment Using Modeling Methodology and Multivariate Statistical Analysis for Process Optimization," Journal of Korea Society of Urban Environment Korean Chemical Engineering Research, 48(5), 589-897 (2010).
  14. Yoon, H. S., Kim, D. J., Choi, B. H., and Kim, M. I., "Nutrients removal and microbial activity for A2O Process Using Activated Sludge Models," Journal of Korean Society of Water and Wastewater, 26(6), 889-896 (2012). https://doi.org/10.11001/jksww.2012.26.6.889