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Can a Stepwise Steady Flow Computational Fluid Dynamics Model Reproduce Unsteady Participate Matter Separation for Common Unit Operations?

机译:逐步稳定流动计算流体动力学模型是否可以重现非恒定的参与物质分离,以实现常见的单元操作?

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摘要

Computational fluid dynamics (CFD) is emerging as a model for resolving the fate of particulate matter (PM) by unit operations subject to rainfall-runoff loadings. However, compared to steady flow CFD models, there are greater computational requirements for unsteady hydrodynamics and PM loading models. Therefore this study examines if integrating a stepwise steady flow CFD model can reproduce PM separation by common unit operations loaded by unsteady flow and PM loadings, thereby reducing computational effort. Utilizing monitored unit operation data from unsteady events as a metric, this study compares the two CFD modeling approaches for a hydrodynamic separator (HS), a primary clarifier (PC) tank, and a volumetric clarifying filtration system (VCF). Results indicate that while unsteady CFD models reproduce PM separation of each unit operation, stepwise steady CFD models result in significant deviation for HS and PC models as compared to monitored data; overestimating the physical size requirements of each unit required to reproduce monitored PM separation results. In contrast, the stepwise steady flow approach reproduces PM separation by the VCF, a combined gravitational sedimentation and media nitration unit operation that provides attenuation of turbulent energy and flow velocity.
机译:计算流体动力学(CFD)逐渐成为一种模型,用于解决受降雨径流负荷影响的单位运营中颗粒物(PM)的命运。但是,与稳态流CFD模型相比,非稳态流体力学模型和PM载荷模型具有更高的计算要求。因此,本研究检查了集成逐步稳定流CFD模型是否可以通过由非恒定流和PM负载加载的常见单元操作来重现PM分离,从而减少了计算量。利用来自非稳态事件的监视单元运行数据作为度量标准,本研究比较了流体分离器(HS),主澄清池(PC)和容积澄清过滤系统(VCF)的两种CFD建模方法。结果表明,虽然不稳定CFD模型重现了每个单元操作的PM分离,但逐步稳定CFD模型与监测数据相比,导致HS和PC模型存在显着偏差;高估了重现监测到的PM分离结果所需的每个单元的物理尺寸要求。相比之下,逐步稳定流方法通过VCF再现了PM分离,这是重力沉降和介质硝化单元的组合操作,可减小湍流能量和流速。

著录项

  • 来源
    《Environmental Science & Technology》 |2011年第13期|p.5605-5613|共9页
  • 作者单位

    Environmental Engineering Sciences, University of Florida, 110 Black Hall, Gainesville, Florida, 32611-6450 United States;

    Environmental Engineering Sciences, University of Florida, 110 Black Hall, Gainesville, Florida, 32611-6450 United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 14:03:46

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