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Mineralization of greywater organics by the ozone-UV advanced oxidation process: kinetic modeling and efficiency

机译:臭氧-紫外线高级氧化工艺使中水有机物矿化:动力学模型和效率

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Ozone-UV advanced oxidation treatment can mineralize total organic carbon (TOC) in water without the addition of chemicals, representing an alternative to phase-transfer processes such as reverse osmosis for water reuse. However, efficiency is governed by competing principal reaction pathways, and limited information has been available for optimizing treatments in such applications. In this study, a 1.2 m(3) per day (320 GPD) pilot ozone-UV greywater reuse system was tested using simulated and real shower water, and the resulting kinetic data were used to develop a kinetic model of TOC mineralization. H2O2 is produced by photolysis with ozone, and subsequent reactions produce hydroxyl radicals, which mineralize TOC. TOC mineralization efficiency is governed by TOC concentration (controlling transmissivity), pH throughout the treatment, ozone-UV dose ratio, and the evolution of pH due to CO2 production from TOC, which impacts oxidative efficiency dynamically. Modeled hydroxyl radical concentrations were similar to 10(-10) M, as expected during water treatment and reuse, and the second order rate constant for the reaction of hydroxyl radicals with TOC was [1.7-7.6] x 10(7) M-1 s(-1), similar to others reported for the mineralization of wastewater organics. The minimum electrical energy for commercial UV and ozone equipment was assessed at 3.73 kW h per order per m(3) of TOC mineralization, and modeling indicated a wide range of optimal dosing ratios. Treatment efficiency was found to depend strongly on a reactor design that ensures an influent TOC concentration low enough to allow the effective transmission of UV radiation. Further development of the kinetic model to account dynamically for pH evolution as a function of TOC mineralization, reactor hydraulics, and mixing is recommended.
机译:臭氧-紫外线高级氧化处理可以在不添加化学物质的情况下使水中的总有机碳(TOC)矿化,这是相转移过程(如反渗透)的替代方案,可重复利用水。然而,效率由竞争的主要反应途径控制,并且在这种应用中有限的信息可用于优化治疗。在这项研究中,使用模拟水和实际淋浴水测试了每天1.2 m(3)(320 GPD)的中试臭氧-紫外线中水回用系统,并将所得的动力学数据用于建立TOC矿化动力学模型。 H2O2是通过臭氧与光解作用产生的,随后的反应产生羟基自由基,使TOC矿化。 TOC的矿化效率受TOC浓度(控制透射率),整个处理过程中的pH,臭氧-UV剂量比以及由于TOC产生的CO2引起的pH值的变化所控制,这会动态影响氧化效率。在水处理和再利用过程中,模拟的羟基自由基浓度类似于10(-10)M,羟基自由基与TOC反应的二级速率常数为[1.7-7.6] x 10(7)M-1 s(-1),与其他有关废水有机物矿化的报道相似。商用紫外线和臭氧设备的最低电能评估为每订单每m(3)TOC矿化3.73 kWh,模型显示了各种最佳剂量比。发现处理效率在很大程度上取决于反应器设计,该设计确保流入的TOC浓度足够低以允许紫外线有效透射。建议进一步开发动力学模型,以动态考虑pH的变化与TOC矿化,反应器水力和混合的关系。

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