Journal of Korean Society of Environmental Engineers (대한환경공학회지)

Korean Society of Environmental Engineers (대한환경공학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Digestion Gas Production and Dewatering Cake Management in WWTP by Using Data Mining Technology

데이터 마이닝 기법을 활용한 하수처리장 소화가스 예측 및 탈수 케이크 관리 기법 개발

  • Kim, Dongkwan (Mine Reclamation Corporation) ;
  • Kim, Hyosoo (Environsoft Co. Ltd.) ;
  • Kim, Yejin (Department of Environmental Engineering, Catholic University of Pusan) ;
  • Kim, Minsoo (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Piao, Wenhua (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Kim, Changwon (Department of Civil and Environmental Engineering, Pusan National University)
  • 김동관 (한국광해관리공단) ;
  • 김효수 (엔바이론소프트) ;
  • 김예진 (부산카톨릭대학교 환경공학과) ;
  • 김민수 (부산대학교 사회환경시스템공학과) ;
  • 박문화 (부산대학교 사회환경시스템공학과) ;
  • 김창원 (부산대학교 사회환경시스템공학과)
  • Received : 2014.06.18
  • Accepted : 2014.12.10
  • Published : 2015.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to suggest the effective operation method by developing prediction model for the gas production rate, an indicator of the effectiveness of anaerobic digestion tank, using data mining. At the result, gas production estimate model is developed by using ANN within 10% error. It is expected to help operation of anaerobic digestion by suggesting selected parameter. Meanwhile case based reasoning is applied to develop dewatering cake management technology. Case based reasoning uses the most similar examples of past when a new problem occurs, therefore in this study, management measures are developed that proposes dewatering cake minimization with the minimum change by applying the case based reasoning to sludge disposal process.

본 연구에서는 데이터 마이닝 기법을 사용하여 혐기성 소화조의 효율을 나타내는 지표인 소화가스 발생량 예측 모델 개발을 통해 운영자에게 효율적인 소화조 운영방안을 제시하고자 하였다. 그 결과 오차율 10% 이내의 인공신경망을 적용한 소화가스 발생량 예측 모델을 개발 하였으며, 모델 개발에 사용된 변수를 제시함으로써 소화조 운영에 도움이 될 것으로 사료된다. 한편 탈수 케이크 관리 기법을 개발하는데 사례기반추론(Case based reasoning)의 개념을 적용하였다. 사례기반추론은 새로운 문제가 발생했을 경우 과거의 사례와 가장 유사한 사례를 활용하여 문제를 해결에 활용하는 방법으로, 본 연구에서는 슬러지 처리 공정에 사례기반추론개념을 적용시켜 과거의 운전 data를 통해 최소의 운전변경으로 탈수 케이크 감량화를 제시하는 관리방안을 개발하였다.

Keywords

References

  1. Kim, H. S., Development of mathematical model for simultaneous nitrification & denitrification process by modifying activated sludge models (ASMs), Master thesis, Department of Civil and Environmental Engineering, Pusan National University, pp. 609-735, South Korea(2008).
  2. Kim, T.-W., Development of rule-based control strategy according to state diagnosis of APID process, Master thesis, Department of Civil and Environmental Engineering, Pusan National University, pp. 609-735, South Korea(2011).
  3. Kim, S. J, Rule-based control logic development & application evaluation according to process condition diagnosis in A2/O process, Master thesis, Department of Civil and Environmental Engineering, Pusan National University, pp. 609-735, South Korea(2012).
  4. Sadhukhan, J., "Distributed and micro-generation from biogas and agricultural application of sewage sludge: Comparative environmental performance analysis using life cycle approaches," Appl. Energy, 122, 196-206(2014). https://doi.org/10.1016/j.apenergy.2014.01.051
  5. Boualem, T., Debab, A., Martinez de Yuso, A. and Izquierdo, M. T., "Activated carbons obtained from sewage sludge by chemical activation: Gas-phase environmental applications," J. Environ. Manage., 140, 145-151(2014). https://doi.org/10.1016/j.jenvman.2014.03.016
  6. Ministry of environment, Result of Anaerobic digestor operating condition overall diagnosis(2009).
  7. Bidart, C., Frohling, M. and Schultmann, F., "Electricity and substitute natural gas generation from the conversion of wastewater treatment plant sludge," Appl. Energy, 113, 40-413 (2014).
  8. Peces, M., Astals, S. and Mata-Alvarez, J., "Response of a sewage sludge mesophilic anaerobic digester to short and long-term thermophilic temperature fluctuations," Chem. Eng. J., 223, 109-116(2013).
  9. Ruiz, M., Sin, G., Berjaga, X., Coprim, J., Puig, S. and Colomer, J., "Multivariate Principal Compoent Analysisand Case-based Reasoning for monitoring, fault detection and diagnosis in a WWTP," Water Sci. Technol., 64(8), 1661-1667 (2011). https://doi.org/10.2166/wst.2011.517
  10. Song, B.-H., Jung, M.-A and Lee, S.-R., "A Design and Implementation Red Tide Prediction Monitoring System using Case Based Reasoning," J. Kor. Inst. Commun. Information Sci., 35, 1219-1226(2010).
  11. Simsir, U. and Ertugrul, S, "Prediction of manually controlled vessel's position and course anvigating in narrow waterways using Artificial Neural Networks," Appl. Soft Comput., 9, 1217-1224(2009). https://doi.org/10.1016/j.asoc.2009.03.002
  12. Moon, T. S., Development of decision support system for the operator of sewage treatment plant by thte diagnosis of process operating state and the inference of reasons, Ph.D. thesis, Department of Civil and Environmental Engineering, Pusan National University, pp. 609-735, South Korea(2011).
  13. Kim, H. S, Development of strategies for model-based predictive control and diagonosis-based control on biological nutrient removal processes. Ph.D. thesis, Department of Civil and Environmental Engineering, Pusan National University, pp. 609-735, South Korea(2013).
  14. Kim, J. H., R Multivariate statistical analysis(2011).