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Optimization of water intake scheduling based on linear programming

선형계획법을 이용한 정수장 취수계획 최적화

  • Jeong, Gimoon (Department of Civil Engineering, Kyung Hee University) ;
  • Lee, Indoe (Department of Civil Engineering, Kyung Hee University) ;
  • Kang, Doosun (Department of Civil Engineering, Kyung Hee University)
  • 정기문 (경희대학교 사회기반시스템공학과) ;
  • 이인도 (경희대학교 사회기반시스템공학과) ;
  • 강두선 (경희대학교 사회기반시스템공학과)
  • Received : 2019.07.24
  • Accepted : 2019.08.20
  • Published : 2019.08.31

Abstract

An optimization model of water intake planning is developed based on a linear programming (LP) for the intelligent water purification plant operation system. The proposed optimization model minimizes the water treatment costs of raw water purification by considering a time-delay of treatment process and hourly electricity tariff, which is subject to various operation constraints, such as water intake limit, storage tank capacity, and water demand forecasts. For demonstration, the developed model is applied to H water purification center. Here, we have tested three optimization strategies and the results are compared and analyzed in economic and safety aspects. The optimization model is expected to be used as a decision support tool for optimal water intake scheduling of domestic water purification centers.

본 연구에서는 지능형 정수장 운영시스템 개발 연구의 일환으로 선형계획법(Linear Programming, LP)을 이용한 정수장 취수계획 최적화 모형을 개발하였다. 개발된 최적화 모형은 원수의 정수처리비용의 최소화를 목적함수로 설정하였으며, 취수 후 정수처리에 소요되는 지연시간과 시간별 전력단가를 고려하여 취수가능량, 예측수요량, 정수지 운영수위 등의 제약조건을 만족하는 최적 취수계획을 제시하였다. 국내 H 정수장을 대상으로 경제적이고 안정적인 정수장 운영을 위해 세 가지 최적화 전략을 적용하고, 그 결과를 경제성과 안정성 측면에서 비교, 분석하였다. 개발 모형은 국내 정수장의 보다 효율적인 취수계획 수립을 위한 의사결정 지원시스템의 형태로 실무에서 활용이 가능할 것으로 기대된다.

Keywords

References

  1. Ahn, J., and Kim, J. (2016). "The comparison among prediction methods of water demand and analysis of data on water services using data mining techniques." Korea Bigdata Society, Vol. 1, No. 1, pp. 9-17.
  2. Han, Y., Huang, Y., Jia, S., and Liu, J. (2013). "An interval-parameter fuzzy linear programming with stochastic vertices model for water resources management under uncertainty." Mathematical Problems in Engineering, Vol. 2013, pp. 1-12.
  3. Heydari, M., ShahiriParsa, A., Noori, M., Othman, F., and Qaderi, K. (2015). "Introduction to linear programming as a popular tool in optimal reservoir operation, a review." Advances in Environmental Biology, Vol. 9, No. 3, pp. 906-917.
  4. Hong, E. (2016). Water demand prediction in water treatment plant using data analysis. Masters dissertation, Hallym University, Chuncheon, Republic of Korea.
  5. Jung, D., Kang, D., Kang, M., and Kim, B. (2015). "Real-time pump scheduling for water transmission systems: Case study." KSCE Journal of Civil Engineering, Vol. 19, No. 7, pp. 1987-1993. https://doi.org/10.1007/s12205-014-0195-x
  6. Kang, D., and Lansey, K. (2009). "Real-time optimal valve operation and booster disinfection for water quality in water distribution systems." Journal of Water Resources Planning and Management, Vol. 136, No. 4, pp. 463-473. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000056
  7. Kim, K., Choi, J., Jung., D., and Kang, D. (2017). "Sensitivity analysis of pump and tank sizes on water network operation and water age." Journal of Korea Water Resources Association, Vol. 50, No. 12, pp. 803-813. https://doi.org/10.3741/JKWRA.2017.50.12.803
  8. Korea Electric Power Corporation (KEPCO) (2015). Electricity Rate Table.
  9. Lee, C., and Lee, K. (2015). "Determination of optimal hourly water intake amount for H Arisu purification." Journal of Korea Water Resources Association, Vol. 48, No. 12, pp. 1051-1064. https://doi.org/10.3741/jkwra.2015.48.12.1051
  10. Lee, S., and Park, H. (2011). "Understanding uncertainties in projecting water demand and effects of climate change for adaptive management of water supply risk of the water resources system." Journal of Korean Society of Water and Wastewater, Vol. 25, No. 3, pp. 293-305.
  11. Mathworks, C. (2019). MATLAB and Optimization ToolboxTM Release R2019a.
  12. Yoo, S. (2014). Short-term water demand forecasting scheme using hybrid model. Masters dissertation, Chungbuk National University, Cheongju, Republic of Korea.
  13. Zhao, T., and Zhao, J. (2014). "Optimizing operation of water supply reservoir: the role of constraints." Mathematical Problems in Engineering, Vol. 2014, pp. 1-15.