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详细建模 UV-TiO2 纳米颗粒对草酸的降解:光散射和光反应器放大的重要性。

Detailed modeling of oxalic acid degradation by UV-TiO nanoparticles: Importance of light scattering and photoreactor scale-up.

机构信息

University of Western Ontario, Department of Chemical and Biochemical Engineering, London, Ontario, N6A 5B9, Canada.

University of Western Ontario, Department of Chemical and Biochemical Engineering, London, Ontario, N6A 5B9, Canada.

出版信息

Water Res. 2017 Sep 15;121:361-373. doi: 10.1016/j.watres.2017.05.007. Epub 2017 May 7.

Abstract

A detailed computational fluid dynamics model is presented that integrates reactor hydrodynamics with advanced light models and UV-TiO advanced oxidation kinetics to yield the degradation of oxalic acid in a dispersed-phase photoreactor. Model predictions were first compared against experimental data obtained from the literature and subsequently used in a parametric study for investigating scale-up effects associated with both process and photoreactor variables. Investigated variables included: TiO concentration (5-400 mg L), initial oxalic acid concentration (0.9-32 mg L), lamp irradiance (100-10,000 W m), background fluid absorbance (0-30 m), reactor size (1/4-4 as relative scaling factor), lamp orientation (0-360°) and flowrate (2.5-10 m h). The analysis revealed that an optimum in oxalic acid degradation is observed when the TiO concentration was controlled in the 20-40 mg L range (depending on lamp irradiance). While lamp orientation showed minimal impact, reactor size and flowrate emerged as key variables for photoreactor design. Moreover, an increase in initial oxalic acid concentration substantially reduced oxalic acid degradation performance observed at high loadings. Also, TiO activation and photoreactor degradation performance were impacted negatively by light competition with background fluid absorbance.

摘要

本文提出了一个详细的计算流体动力学模型,该模型将反应器流体动力学与先进的光模型和 UV-TiO 高级氧化动力学相结合,以实现分散相光反应器中草酸的降解。首先将模型预测结果与文献中获得的实验数据进行了比较,然后用于参数研究,以研究与过程和光反应器变量相关的放大效应。研究的变量包括:TiO2 浓度(5-400mg/L)、初始草酸浓度(0.9-32mg/L)、灯辐照度(100-10,000W/m)、背景流体吸收率(0-30m)、反应器尺寸(1/4-4 作为相对缩放因子)、灯方向(0-360°)和流速(2.5-10m/h)。分析表明,当 TiO2 浓度控制在 20-40mg/L 范围内(取决于灯辐照度)时,草酸的降解效果最佳。虽然灯方向的影响最小,但反应器尺寸和流速成为光反应器设计的关键变量。此外,初始草酸浓度的增加会大大降低高负荷下观察到的草酸降解性能。此外,光竞争与背景流体吸收率会对 TiO2 激活和光反应器降解性能产生负面影响。

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