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RTD (residence time distribution) predictions in large mechanically aerated lagoons

机译:大型机械充气泻湖中的RTD(停留时间分布)预测

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Mechanically aerated lagoons (used for wastewater treatment in the pulp and paper industry) are typically very large (>500,000 m3) and have complex three-dimensional fluid flow patterns due to mechanical agitation, sludge accumulation, internal baffling, and confined inlet/outlet flow channels. RTD data is frequently used for evaluation of hydraulic performance. however, obtaining accurate data with traditional dye measurements is a difficult and time-consuming process. Moreover, the mixing impact of factors such as aerator positions, sludge accumulation, and internal baffles would require a significant and costly number of local field measurements. Recent applications of CFD to mechanically aerated lagoons have helped engineers to understand the complex flow interactions. This paper provides a practical method for the evaluation of the hydraulic performance of large mechanically aerated lagoons using CFD. A method, based on random-walk Lagrangian particle tracking, has been developed to significantly shorten the computational time needed to produce RTD curves for these lagoons. Comparison of the particle method with the more conventional scalar transport yields excellent results. These methods allow wastewater engineers to combine their existing knowledge and expertise with the established power of CFD. The results quantify the hydraulic impact of different inlet/outlet configurations, aerator configurations, influent flow rates, and bottom sludge profiles.
机译:机械充气泻湖(用于制浆造纸工业中的废水处理)通常非常大(> 500,000立方米),并且由于机械搅拌,污泥堆积,内部挡板和受限的进/出水流而具有复杂的三维流体流型渠道。 RTD数据经常用于评估液压性能。但是,使用传统的染料测量来获得准确的数据是一个困难且耗时的过程。而且,诸如曝气器位置,污泥积累和内部挡板等因素的混合影响将需要大量且昂贵的局部现场测量。 CFD在加气泻湖中的最新应用已帮助工程师了解复杂的流动相互作用。本文为使用CFD评估大型机械充气泻湖的水力性能提供了一种实用的方法。已经开发了一种基于随机游走拉格朗日粒子跟踪的方法,以显着缩短为这些泻湖生成RTD曲线所需的计算时间。将粒子方法与更常规的标量传输进行比较会产生出色的结果。这些方法使废水工程师能够将其现有的知识和专长与CFD的既有能力相结合。结果量化了不同入口/出口配置,曝气器配置,进水流速和底部污泥分布对水力的影响。

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