SCI和EI收录∣中国化工学会会刊

中国化学工程学报 ›› 2019, Vol. 27 ›› Issue (12): 3010-3016.DOI: 10.1016/j.cjche.2018.12.007

• Energy, Resources and Environmental Technology • 上一篇    下一篇

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

Zhijuan Niu1,2, Sitao Zhang1, Yanhe Han1, Mengmeng Qi1   

  1. 1 Department of Environmental Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China;
    2 Research Center for Eco-Environmental Engineering, Dongguan University of Technology, Dongguan 523808, China
  • 收稿日期:2018-07-26 修回日期:2018-11-19 出版日期:2019-12-28 发布日期:2020-03-17
  • 通讯作者: Yanhe Han
  • 基金资助:
    Supported by the National Natural Science Foundation of China (21677018) and the Joint Fund of the Beijing Natural Science Foundation and Beijing Municipal Education Commission (KZ201810017024).

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

Zhijuan Niu1,2, Sitao Zhang1, Yanhe Han1, Mengmeng Qi1   

  1. 1 Department of Environmental Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China;
    2 Research Center for Eco-Environmental Engineering, Dongguan University of Technology, Dongguan 523808, China
  • Received:2018-07-26 Revised:2018-11-19 Online:2019-12-28 Published:2020-03-17
  • Contact: Yanhe Han
  • Supported by:
    Supported by the National Natural Science Foundation of China (21677018) and the Joint Fund of the Beijing Natural Science Foundation and Beijing Municipal Education Commission (KZ201810017024).

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

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