Optimizing the Decision-Making Process for Collection System Utilities
Collection System Utilities throughout North America, Europe, and Australasia are constantly challenged with important decisions to rehabilitate aging infrastructure, address urban growth, and meet increasingly stringent environmental regulations. This decision-making process is often aided through the use of hydraulic models to assess system performance for alternative conveyance, treatment, and storage solutions. In the past 12 months, CH2M HILL and Optimatics have developed a robust optimization approach that is being commercially applied by Utilities to assist with alternatives evaluation as a component of the decision-making process. By linking Genetic Algorithm (GA) Optimization with the EPA SWMM v5 hydraulic model, the optimization technique can evaluate the performance of a much wider array of options, as compared to traditional simulation analysis, enabling a more comprehensive planning process. Pilot studies and initial commercial projects have shown that GA Optimization is a powerful technique capable of developing low-cost capital improvement programs (CIP) and operational strategies. This paper provides background on the application of this technology, the optimization approach, and results of recent projects utilizing GA Optimization.
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Document Type: Research Article
Publication date: 2007-01-01
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