Sangwan Nikhil, Ahmed Yousra M, Blatchley Ernest R
Prairie Research Institute, University of Illinois at Urbana-Champaign, 2204 Griffith Drive, Champaign, Illinois 61820, United States.
Thebes Higher Institute of Engineering, Thebes Integrated Academy, Maadi, Cairo 11434, Egypt.
Environ Sci Technol. 2023 Oct 31;57(43):16707-16717. doi: 10.1021/acs.est.3c06816. Epub 2023 Oct 17.
Ultraviolet (UV) disinfection is commonly applied in the treatment of drinking water and wastewater. The performance of UV disinfection systems is governed by the UV dose distribution delivered to the fluid, which is an intrinsic characteristic of the reactor under a given operating condition. Current design and validation approaches are based on empirical methods that are expensive to apply and provide limited information about the UV photoreactor behavior. To address this issue, a dose distribution scaling method was developed based on dimensional analysis (i.e., application of the Buckingham-π theorem). Three dimensionless groups representing UV dose, reactor geometry, and UV absorption behavior were defined. Using these groups, the approach was applied for the analysis of 15 operating conditions, defined by process variables of volumetric flow rate, UV transmittance, and lamp power. The approach was demonstrated to allow scaling of the dose distribution with these critical, dimensionless variables and yielded close agreement between predictions of disinfection efficacy against MS2 and based on the scaling approach with conventional CFD-E' modeling results. The approach thus provides a low-cost, rapid method for predicting the performance of UV disinfection systems across a wide range of operating conditions and against essentially any microbial challenge agent.
紫外线(UV)消毒常用于饮用水和废水处理。紫外线消毒系统的性能取决于传递给流体的紫外线剂量分布,这是给定运行条件下反应器的固有特性。当前的设计和验证方法基于经验方法,应用成本高昂,且提供的关于紫外线光反应器行为的信息有限。为解决这一问题,基于量纲分析(即应用白金汉-π定理)开发了一种剂量分布缩放方法。定义了三个代表紫外线剂量、反应器几何形状和紫外线吸收行为的无量纲组。利用这些组,该方法被应用于分析由体积流量、紫外线透过率和灯功率等过程变量定义的15种运行条件。结果表明,该方法能够根据这些关键的无量纲变量对剂量分布进行缩放,并且基于缩放方法对MS2的消毒效果预测与基于传统计算流体力学(CFD-E')建模结果的预测高度一致。因此,该方法提供了一种低成本、快速的方法,可用于预测紫外线消毒系统在广泛运行条件下以及针对任何微生物挑战剂的性能。