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Application of a Stochastic Test Case Generation for Water Distribution Systems

机译:随机测试案例生成在供水系统中的应用

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The analysis of water distribution system is not feasible without case studies. However, it is evident that setting up those case studies for modelling is time and resource intensive. To bridge this gap the WDS Designer was developed. This tool supports the automatic generation of water distribution networks based on given GIS-data for housing and population densities as well as a digital elevation map. The generation process of a network includes (1) the creation of a network layout with different characteristics (e.g. mesh degree), (2) an auto pipe-sizing that leads to realistic pipe design and (3) the export to hydraulic solvers for further hydraulic and quality investigations. The generated networks provide an unlimited number of test cases to obtain comprehensive results from investigations (hence, no case-specific results). The WDS Designer used unchangeable and thus fixed GIS-data as input and only static water distribution systems (no demand patterns) with low complexity, neglecting pressure zones, pumps and tanks. This is a clear short-coming of that approach. In this work an enhancement of the generation process is presented by introducing several pressure zones, pumps and tanks as well as different demand patterns. Further, it is demonstrated how a simulation with demand patterns impacts water age distributions. Simulations with demand patterns are compared to hydraulic steady state simulations. The analysis is performed with numerous case studies with different network characteristics (looped, branched).
机译:没有案例研究,对供水系统的分析是不可行的。但是,很明显,建立这些案例研究以进行建模是耗费时间和资源的。为了弥合这一差距,开发了WDS Designer。该工具支持基于给定的GIS数据(用于住房和人口密度)以及数字高程图来自动生成供水网络。网络的生成过程包括(1)创建具有不同特征(例如网格度)的网络布局,(2)自动进行管道尺寸调整以实现逼真的管道设计,以及(3)导出到液压求解器以进行进一步的设计水力和质量调查。生成的网络提供无限数量的测试用例,以从调查中获得全面的结果(因此,没有特定于案例的结果)。 WDS设计器使用不变的,因此固定的GIS数据作为输入,而仅使用静态水分配系统(无需求模式),其复杂度低,而忽略了压力区,泵和水箱。这显然是该方法的缺点。在这项工作中,通过引入几个压力区,泵和油箱以及不同的需求模式,对发电过程进行了改进。此外,还演示了具有需求模式的模拟如何影响水龄分布。将具有需求模式的仿真与液压稳态仿真进行比较。通过具有不同网络特征(环状,分支)的大量案例研究来进行分析。

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