Enhancement of H2O2 accumulationat gas diffusion electrodes (GDEs) optimized by 3D-printed technique and its utilization in electro-Fenton for coking wastewater treatment
QIU Shan1,2, GAO Wei-jie1,2, DENG Feng-xia1,2, ZHU Ying-shi1,2, MA Fang1,2, YANG Ji-xian1,2
1. School of Environment, Harbin Institute of Technology, Harbin 150090, China;
2. State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China
In this study, 3D-printed GDE (3D-GDE) with a high H2O2 generation rate was designed using a three-dimensional printing approach and its application in electro-Fenton for coking wastewater treatment. Results showed that H2O2 reached 16.1mg H2O2/cm2, which was superior to the conventional gas diffusion electrode in the absence of the 3D-printedstructure with 7.16mg H2O2/cm2 H2O2 capacity under the same conditions. Moreover, it showed acid condition was favorable for the H2O2 production, and H2O2 generation rose from 250mg/L to 450mg/L as current increased from 200mA to 250mA. However, a further enhancement in current failed to improve H2O2 generation capacity. The proposed system was used for coking wastewater treatment following the optimization of the operating factors. Mineralization rate of coking wastewater could reach as high as 80% in 4h electrolysis by the 3D-GDE electro-Fenton process. Moreover, three-dimensional fluorescence method confirmed the effectiveness of the process in a direct approach. Microtox toxicity results revealed that the 3D-GDE electro-Fenton process was effective for coking wastewater detoxification and the lowest energy consumption for coking wastewater was calculated as 0.9kW·h/g TOC.
邱珊, 高伟杰, 邓凤霞, 朱英实, 马放, 杨基先. 3D打印气体扩散电极产H2O2及其对焦化废水的处理研究[J]. 中国环境科学, 2018, 38(11): 4075-4084.
QIU Shan, GAO Wei-jie, DENG Feng-xia, ZHU Ying-shi, MA Fang, YANG Ji-xian. Enhancement of H2O2 accumulationat gas diffusion electrodes (GDEs) optimized by 3D-printed technique and its utilization in electro-Fenton for coking wastewater treatment. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(11): 4075-4084.
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