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首页> 外文期刊>Water Science and Technology >How well-mixed is well mixed? Hydrodynamic-biokinetic model integration in an aerated tank of a full-scale water resource recovery facility
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How well-mixed is well mixed? Hydrodynamic-biokinetic model integration in an aerated tank of a full-scale water resource recovery facility

机译:混合良好的混合如何? 全尺寸水资源恢复设施的加气坦克水动力学 - 生物模型集成

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Current water resource recovery facility (WRRF) models only consider local concentration variations caused by inadequate mixing to a very limited extent, which often leads to a need for (rigorous) calibration. The main objective of this study is to visualize local impacts of mixing by developing an integrated hydrodynamic-biokinetic model for an aeration compartment of a full-scale WRRF. Such a model is able to predict local variations in concentrations and thus allows judging their importance at a process level. In order to achieve this, full-scale hydrodynamics have been simulated using computational fluid dynamics (CFD) through a detailed description of the gas and liquid phases and validated experimentally. In a second step, full ASM1 biokinetic model was integrated with the CFD model to account for the impact of mixing at the process level. The integrated model was subsequently used to evaluate effects of changing influent and aeration flows on process performance. Regions of poor mixing resulting in non-uniform substrate distributions were observed even in areas commonly assumed to be well-mixed. The concept of concentration distribution plots was introduced to quantify and clearly present spatial variations in local process concentrations. Moreover, the results of the CFD-biokinetic model were concisely compared with a conventional tanks-in-series (TIS) approach. It was found that TIS model needs calibration and a single parameter set does not suffice to describe the system under both dry and wet weather conditions. Finally, it was concluded that local mixing conditions have significant consequences in terms of optimal sensor location, control system design and process evaluation.
机译:目前的水资源恢复设施(WRRF)型号仅考虑由于在非常有限的范围内造成的局部浓度变化,这通常会导致需要(严谨)校准。本研究的主要目的是通过开发用于全级WRRF的曝气室的集成流体动力学 - 生物动力学模型来可视化混合的局部冲击。这种模型能够预测浓度的局部变化,从而允许在过程级别判断它们的重要性。为了实现这一点,通过通过对气体和液相的详细描述并通过实验验证来模拟使用计算流体动力学(CFD)来模拟满量程流体动力学。在第二步中,全ASM1生物电模型与CFD模型集成,以考虑混合在过程水平的影响。随后使用综合模型来评估改变进水和通气流动对过程性能的影响。甚至在常见混合的区域中,观察到导致不均匀的衬底分布的差的差的区域。引入浓度分布图的概念以量化和清楚地存在局部工艺浓度的空间变化。此外,与常规罐系列(TIS)方法进行了简明地比较了CFD-生物血管内模型的结果。结果发现,TIS模型需要校准,单个参数集不足以描述在干燥和潮湿的天气条件下的系统。最后,它的结论是,局部混合条件在最佳传感器位置,控制系统设计和过程评估方面具有显着的后果。

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