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Device-Scale Modeling of a Photoelectrochemical Wastewater Nitrate Treatment Device: Effects of Competing Reactions and Effluent Stream Composition

机译:光电化学废水硝酸盐处理装置的装置级模型:竞争反应和流出物流组成的影响

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Nitrate contaminants dominate low-level nuclear wastes and agricultural runoff streams; nitrates and ammonium are present in industrial effluent streams from fertilizer production, iron/steel making and finishing, coal mining, and municipal wastewater streams. Most conventional wastewater treatment plants use the biological nitrification-denitrification treatment processes in which microbes consume and metabolize the dissolved contaminants to eliminate nitrates present in wastewater. However, biological processes are energy intensive and are not effective in effluent streams that harbor conditions unsuitable for microbial growth. We previously proposed a solar-powered photoelectrochemical device to treat wastewater nitrates and determined that reducing wastewater nitrates to ammonia and nitrous oxide facilitated an improved scope for energy recovery as compared to the traditional electrochemical denitrification processes that convert nitrates to dinitrogen (Figure, left). In this study, a device-scale model transport and kinetic model was developed to specifically investigate the influences of competing redox reactions and the effluent stream composition on the overall performance of this device. Competing reactions of interest were hydrogen evolution reaction, hydrogen oxidation reaction, oxygen reduction reaction, and reactions resulting from other ions present in the considered waste stream (Figure, right). The different effluent stream compositions considered were alkaline waste solutions from nuclear processes and ion-exchange brines from ion-exchange water treatment applications. The developed model predicts various performance metrics including the rates of product formation, solar energy conversion efficiency, the time required to reduce the initial concentration of nitrates to 0.1 mM, which is on the order of magnitude of what the US Environmental Protection Agency has deemed safe for human consumption, and faradaic efficiencies to quantify the effects of competing reactions. Model results demonstrate that the hydrogen evolution reaction competes with the nitrate reduction reaction at the cathode. However, the extent of competition was dependent on the cathode electrocatalytic parameters, the initial waste stream composition, and the light-absorber bandgap that dictated the operating potential. It was also found that the oxygen reduction reaction and the hydrogen oxidation reaction have negligible effects on the solar energy conversion efficiency of the device.
机译:硝酸盐污染物主导低水平的核废物和农业径流溪流;硝酸盐和铵存在于来自肥料生产,铁/钢制造和整理,煤矿和市政废水流的工业流出物流中。大多数常规废水处理厂使用生物硝化 - 脱氮处理方法,其中微生物消耗并代谢溶解的污染物以消除废水中存在的硝酸盐。然而,生物过程是能量密集型的,并且在港口不适合微生物生长的条件下的流出物流中无效。我们以前提出了一种太阳能发电的光电化学器件,以处理废水硝酸盐,并确定将硝酸盐还原到氨和氧化物的废水促进了能量回收的改善范围,相比,与转换硝酸盐转化为二氮化(图,左)。在本研究中,开发了一种设备级模型传输和动力学模型,以具体研究竞争氧化还原反应和流出物流组合物对该装置的整体性能的影响。感兴趣的竞争反应是氢进化反应,氢氧化反应,氧还原反应和由所认为废物流中存在的其他离子(图,右)产生的反应。不同的流出物流组合物认为是来自离子交换水处理应用的核方法和离子交换盐水的碱性废物溶液。开发的模型预测了各种性能度量,包括产品形成的速率,太阳能转换效率,将硝酸盐初始浓度降低到0.1毫米所需的时间,这是美国环境保护局认为安全的级别对于人类消费,以及法拉迪效率量化竞争反应的影响。模型结果表明,氢进化反应与阴极处的硝酸盐还原反应竞争。然而,竞争程度依赖于阴极电催化参数,初始废物组合物和决定操作势的光吸收带隙。还发现氧还原反应和氢氧化反应对装置的太阳能转换效率具有可忽略不计的影响。

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