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Development of optimization model for booster chlorination in water supply system using multi-objective optimization method

다목적 최적화기법을 활용한 상수도 공급계통 잔류염소농도 최적운영 모델 개발

  • Kim, Kibum (Department of Environmental Engineering, University of Seoul) ;
  • Seo, Jeewon (Korea Water and Wastewater Works Association) ;
  • Hyung, Jinseok (Department of Environmental Engineering, University of Seoul) ;
  • Kim, Taehyeon (Department of Environmental Engineering, University of Seoul) ;
  • Choi, Taeho (K-water Research Institute, Korea Water Resources Corporation) ;
  • Koo, Jayong (Department of Environmental Engineering, University of Seoul)
  • 김기범 (서울시립대학교 환경공학과) ;
  • 서지원 (한국상하수도협회) ;
  • 형진석 (서울시립대학교 환경공학과) ;
  • 김태현 (서울시립대학교 환경공학과) ;
  • 최태호 (한국수자원공사 연구원) ;
  • 구자용 (서울시립대학교 환경공학과)
  • Received : 2020.08.03
  • Accepted : 2020.09.01
  • Published : 2020.10.15

Abstract

In this study, a model to optimize residual chlorine concentrations in a water supply system was developed using a multi-objective genetic algorithm. Moreover, to quantify the effects of optimized residual chlorine concentration management and to consider customer service requirements, this study developed indices to quantify the spatial and temporal distributions of residual chlorine concentration. Based on the results, the most economical operational method to manage booster chlorination was derived, which would supply water that satisfies the service level required by consumers, as well as the cost-effectiveness and operation requirements relevant to the service providers. A simulation model was then created based on an actual water supply system (i.e., the Multi-regional Water Supply W in Korea). Simulated optimizations were successful, evidencing that it is possible to meet the residual chlorine concentration demanded by consumers at a low cost.

Keywords

References

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