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.

ABSTRACT
1. 서 론
2. 연구방법
    2.1 연구대상지역
    2.2 잔류염소농도 감소계수 실험 및 적용 방법
    2.3 다목적 유전알고리즘을 활용한 재염소시설 최적화 모델 개발 방법
    2.4 개발모델 실증 및 효과 분석 방법
3. 연구결과
    3.1 연구대상지역 재염소시설 최적화 결과
    3.2 연간 재염소시설 운영 최적화 결과
    3.3 재염소시설 운영 최적화의 효과 분석 결과
4. 결 론
References

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