TY - GEN
T1 - Study on residual chlorine control of water distribution systems with multiple water sources
AU - Gao, Jinliang
AU - Chang, Kui
AU - Shi, Chengbo
AU - Zheng, Chengzhi
AU - Wu, Wenyan
PY - 2012
Y1 - 2012
N2 - A best chlorine injection schedule for each source and booster station in a distribution system is studied and a multiple object optimal operation model of water distribution system(WDS) considering residual chlorine is also presented. The optimal scheduling of water distribution system is composed of two parts, the hydraulic and the water quality optimal control, and water quality optimal control is based on the hydraulic optimal control. As an important component of water quality optimal control, the residual chlorine control is selected as one of the objective functions of the optimal scheduling of water distribution system. A new multiple objects optimal operation model of WDSs is developed. The objective functions include minimum of residual chlorine and minimum costs of WDSs operation. The decision variables include the demand, pressure and residual chlorine at each water source, nodal demand, nodal pressure, and nodal residual chlorine. The hydraulic and the water quality model are solved by EPANET. The multiple objects optimal operation model of WDS is solved by the non-dominated sorting genetic algorithm (NSGA-II). Adaptive penalty functions are also applied in the process of model solved As a case study, the multiple objectives optimal operation model is applied in a large scale WDS. The WDS 's total demand is about 1,320,000 m 3/d, and is composed of 9 water plants, 32 water sources, and 468 wells. The result shows that the optimization of chlorine of each water source makes the distribution of nodal chlorine more reasonable and the concentration of nodal residual chlorine was reduced.
AB - A best chlorine injection schedule for each source and booster station in a distribution system is studied and a multiple object optimal operation model of water distribution system(WDS) considering residual chlorine is also presented. The optimal scheduling of water distribution system is composed of two parts, the hydraulic and the water quality optimal control, and water quality optimal control is based on the hydraulic optimal control. As an important component of water quality optimal control, the residual chlorine control is selected as one of the objective functions of the optimal scheduling of water distribution system. A new multiple objects optimal operation model of WDSs is developed. The objective functions include minimum of residual chlorine and minimum costs of WDSs operation. The decision variables include the demand, pressure and residual chlorine at each water source, nodal demand, nodal pressure, and nodal residual chlorine. The hydraulic and the water quality model are solved by EPANET. The multiple objects optimal operation model of WDS is solved by the non-dominated sorting genetic algorithm (NSGA-II). Adaptive penalty functions are also applied in the process of model solved As a case study, the multiple objectives optimal operation model is applied in a large scale WDS. The WDS 's total demand is about 1,320,000 m 3/d, and is composed of 9 water plants, 32 water sources, and 468 wells. The result shows that the optimization of chlorine of each water source makes the distribution of nodal chlorine more reasonable and the concentration of nodal residual chlorine was reduced.
KW - Water distribution network
KW - genetic algorithm
KW - optimal scheduling
KW - residual chlorine
KW - water quality
UR - https://www.scopus.com/pages/publications/84862918987
U2 - 10.1061/41203(425)52
DO - 10.1061/41203(425)52
M3 - 会议稿件
AN - SCOPUS:84862918987
SN - 9780784412039
T3 - Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010
SP - 551
EP - 558
BT - Water Distribution Systems Analysis 2010 - Proceedings of the 12th International Conference, WDSA 2010
T2 - 12th Annual International Conference on Water Distribution Systems Analysis 2010, WDSA 2010
Y2 - 12 September 2010 through 15 September 2010
ER -