Optimization of location of booster stations using backtracking algorithm
Booster disinfection is the reapplication of disinfectant at strategic locations within a water distribution network to keep disinfectant residuals within specified limits. Models have been developed for the optimal location and injection scheduling of booster disinfection, but neglected the existing disinfection applied on the network. Booster stations in many places were placed solely by experience, which are often non-optimal yet unchangeable. The present work investigates the optimal locations and injection scheduling of extra booster stations on the basis of existing disinfection locations to insure safe drinking water for all consumers. The target nodes with insufficient residual are first calculated, and the upstream nodes are listed with Particle Backtracking Algorithm. The extra booster station locations are then optimized among these upstream nodes by the Genetic Algorithm. Results show that booster disinfection on the proper upstream nodes is hydraulically sensible, effective, and efficient.
Water distribution Booster disinfection Particle Backtracking Algorithm Optimization Genetic Algorithm
Fanlin Meng Shuming Liu Pierre Auckenthaler Lu Bai Huanhuan Wang Xue Wu
School of Environment, Tsinghua University, Beijing, China
国际会议
三峡
英文
247-250
2012-05-18（万方平台首次上网日期，不代表论文的发表时间）