Optimization of the N2 generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis

doi:10.1016/j.cjche.2018.12.007

Abstract

Abstract: The reduction of nitrate using internal circulation micro-electrolysis technology (ICE) was investigated. The effect of the reaction time, initial pH, Fe/C ratio, and aeration rate on the nitrate reduction was investigated using a single factor experiment. Based on the results of the single factor experiment, a response surface methodology (RSM) was applied to optimize the N₂ generation selectivity. The effects and interactions of three independent variables were estimated using a Box-Behnken design. Using the RSM analysis, a quadratic polynomial model with optimal conditions at pH=8.8, Fe/C=1:1, and an aeration rate of 30 L·min^-1 was developed by means of the regression analysis of the experimental data. Using the RSM optimization, the optimal conditions yielded a N₂ generation selectivity of 72.0%, which is in good agreement with experimental result (73.2%±0.5%) and falls within the 95% confidence interval (IC:66.8%-77.3%) of the model results. This indicates that the model obtained in this study effectively predicts the N₂ generation selectivity for nitrate reduction by the ICE process, thus providing a theoretical basis for process design.

Key words: Nitrate reduction, Internal circulation micro-electrolysis, Response surface methodology, N₂

摘要： The reduction of nitrate using internal circulation micro-electrolysis technology (ICE) was investigated. The effect of the reaction time, initial pH, Fe/C ratio, and aeration rate on the nitrate reduction was investigated using a single factor experiment. Based on the results of the single factor experiment, a response surface methodology (RSM) was applied to optimize the N₂ generation selectivity. The effects and interactions of three independent variables were estimated using a Box-Behnken design. Using the RSM analysis, a quadratic polynomial model with optimal conditions at pH=8.8, Fe/C=1:1, and an aeration rate of 30 L·min^-1 was developed by means of the regression analysis of the experimental data. Using the RSM optimization, the optimal conditions yielded a N₂ generation selectivity of 72.0%, which is in good agreement with experimental result (73.2%±0.5%) and falls within the 95% confidence interval (IC:66.8%-77.3%) of the model results. This indicates that the model obtained in this study effectively predicts the N₂ generation selectivity for nitrate reduction by the ICE process, thus providing a theoretical basis for process design.

关键词: Nitrate reduction, Internal circulation micro-electrolysis, Response surface methodology, N₂

Zhijuan Niu, Sitao Zhang, Yanhe Han, Mengmeng Qi. Optimization of the N₂ generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis[J]. Chinese Journal of Chemical Engineering, 2019, 27(12): 3010-3016.

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Optimization of the N₂ generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis

Optimization of the N₂ generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis

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