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Leakage Rate Uncertainty in Water Distribution Systems with Uncertain Demands: Impacts on Delivery Pressures

机译:需求不确定的给水系统的泄漏率不确定性:对输送压力的影响

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Leakage rate has long been known to be related to the internal pressure of the pipe at leak locations. Reducing leakage and excess pressures are two main goals in pressure management activities. Computer model-based leak detection methods that detect leaks by analyzing the pipeline hydraulic state have been widely employed in the industry, but their effectiveness in practical applications is often challenged by real-world uncertainties. This study quantitatively assessed the effects of uncertainties in leakage rates, consumer water demands, and pipes roughness on the delivery pressures in water distribution systems. Variations in leakage rates due to changes in pressure and discharge coefficient are shown. And, the most sensitive uncertain parameters contributing to uncertainty in leakage rates are determined. For this purpose, the mean-centered first-order method is used to estimate the first and second moments (i.e., mean and variance) of leaks. Then, changes in delivery pressures caused by uncertainties in leakage rates, consumer water demands, and pipes roughness are quantified using Monte Carlo simulations. This study provides valuable quantitative results contributing toward a better understanding of how real-world uncertainties affect pressure distributions in water distribution systems and can be helpful in pressure management studies.
机译:长期以来,泄漏率与泄漏点处的管道内部压力有关。减少泄漏和过大压力是压力管理活动的两个主要目标。通过分析管道的液压状态来检测泄漏的基于计算机模型的泄漏检测方法已在行业中得到广泛应用,但是其在实际应用中的有效性常常受到现实世界中不确定性的挑战。这项研究定量评估了泄漏率,用户用水需求和管道粗糙度对配水系统中输送压力的不确定性的影响。示出了由于压力和排放系数的变化而导致的泄漏率的变化。并且,确定导致泄漏率不确定的最敏感的不确定参数。为此,均值中心一阶方法用于估计泄漏的第一和第二矩(即均值和方差)。然后,使用蒙特卡洛模拟对由于泄漏率,用户需水量和管道粗糙度的不确定性导致的输送压力变化进行量化。这项研究提供了有价值的定量结果,有助于更好地了解现实中的不确定性如何影响配水系统中的压力分布,并有助于压力管理研究。

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