Abstract：
The ozone-ultraviolet (UV)-chlorine process is a highly effective method of disinfection in water reuse system, but currently still lacks precise quantification and accurate control. It is difficult to determine the dosage of each disinfectant because of the complex interactions that occur between disinfection units and the complicated mathematical calculation required. In this study, we proposed a dosage optimization model for ozone-UV-chlorine synergistic disinfection process. The model was able to identify the cost-effective doses of the disinfectants under the constraints of microbial inactivation, decolorization, and residual chlorine retention requirements. Specifically, the simulation of microbial inactivation rates during synergistic disinfection process was accomplished through quantification of the synergistic effects between disinfection units and the introduction of enhancement coefficients. In order to solve this optimization model rapidly and automatically, a MATLAB-based software program with graphical user interface was developed. This software consisted of calibration unit, prediction unit, assessment unit, and optimization unit, and was able to simulate synergistic ozone-UV-chlorine process and identify the optimal dose of ozone, UV, and chlorine. Validation experiments revealed good agreements between the experimental data and the results calculated by the developed software. The developed software is believed to help the water reclamation plants improve disinfection efficiency and reduce the operational costs of synergistic disinfection processes.
摘要：
臭氧-紫外(UV)-氯工艺是中水回用系统中高效的消毒方法,但目前仍缺乏精确的定量和精确的控制。由于消毒单元之间发生的复杂相互作用以及所需的复杂数学计算，因此难以确定每种消毒剂的剂量。在这项研究中,提出了臭氧-紫外-氯协同消毒工艺的投加量优化模型。该模型能够在微生物灭活的约束下确定消毒剂的成本有效剂量，脱色,和余氯保留要求。具体来说,通过量化消毒单元之间的协同作用和引入增强系数，实现了协同消毒过程中微生物失活率的模拟。为了快速自动求解该优化模型,开发了基于MATLAB的图形用户界面软件程序。该软件由校准单元组成，预测单位,评估单位,和优化单元，并且能够模拟协同臭氧-紫外线-氯过程并确定最佳臭氧剂量，UV,和氯。验证实验表明，实验数据与开发软件计算的结果之间具有良好的一致性。开发的软件被认为可以帮助水回收厂提高消毒效率并降低协同消毒过程的运营成本。
