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Joint Optimal Model For Water Allocation And Pump Curve: A Case Study

Posted on:2013-10-06Degree:MasterType:Thesis
Country:ChinaCandidate:L BaiFull Text:PDF
GTID:2232330392958387Subject:Environmental Science and Engineering
Abstract/Summary:PDF Full Text Request
Water shortage emerges and restricts the urban construction and thesocial-development due to the rapid expansion of the cities. Various parts of our countryis facing groundwater overdraft status, a number of provinces and cities have theexhaustion cone problem. The water resources management involves many stakeholders.Integrated management is needed in order to achieve the best economic, social andenvironmental benefits. Macro-management of water resources is a global problem,under reasonable management decisions, the area with abundant water can providewater for the area with water shortage. The design of water supply system depends onthe water allocation solution. Water distribution system is one of the essentialinfrastructures in a city, which is a basic guarantee of the application of water resourcesmanagement solution. Although, the designing work is based on the water resourcesallocation solution, in general, it is lack of effectiveness and ease of operation. Thepurpose of this research is to provide an effective optimal model for practicalapplication.Based on the widely literature review, a joint optimal model framework for waterallocation and pump curve was set up on the water resources allocation and waterdistribution system.Following a brief introduction to each part of the model framework,a detailed theoretical analysis was carried out to construct the functional unit in themodel.A case analysis was carried out based on the water resources management andwater distribution systems in Changping District. In the first phase, a multi-objectiveslinear programming is used for the optimal allocation on multi-water resources formulti-users to satisfy the water demand in2020, in which cost and water conservationare regards as objectives. In the second phase, a non-linear model is proposed, which issolved by single-objective GA linking to EPANET hydraulic solver, the result of thefirst phase is a parameter of the objective in the second phase. A new programming isproposed to modify the pump curve. Through the analysis, it shows that the optimalmodel can provide reasonable solution for the engineer.
Keywords/Search Tags:multi-objective linear programming, water optiaml allocation, genetic algorithm, pump curve optimization
PDF Full Text Request
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