Master planning of water distribution systems usually involves a long-time horizon of 25 to 50 years into the future. Estimates of future water demands are made as well as the configuration of the ultimate build-out of water distribution system. The difficulty with the results of a master planning study is that the near term needs for system expansion may not match the long-term plans. An approach of using genetic algorithm (GA) optimization for developing two master plans, one for the short term and one for the long term is presented in this paper. In addition, an approach for optimizing the staging of construction to link the short and long term master plans is also presented. This paper highlights a genetic algorithm (GA) master plan study carried out for the Barossa Valley water distribution system in South Australia. First the infrastructure needs (transmission and distribution pipelines) for 2010 were optimized using genetic algorithm optimization for the near term planning of facilities. Pipes in parallel to existing pipes and replacement pipelines were sized. New and expanded pump stations were also considered. Once the 2010 master plan was developed, a staging analysis was carried out to identify a solution to satisfy the current demands (year 2005). A master plan to satisfy year 2025 demand predictions was also developed as part of the study. In the year 2025 master plan, improvements were sized to use components that would have been used to extend the system from year 2010 to 2025.Alana M. Duncker, Angus R. Simpson, and Tomasz Woznia
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