Optimization of the N<sub>2</sub> generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis

Zhijuan Niu; Sitao Zhang; Yanhe Han; Mengmeng Qi

doi:10.1016/j.cjche.2018.12.007

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

Energy, Resources and Environmental Technology | Updated：2026-01-06

- Optimization of the N₂ generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis
- Chinese Journal of Chemical Engineering Vol. 27, Issue 12, Pages: 3010-3016(2019)
- Affiliations：
  
  1. Department of Environmental Engineering, Beijing Institute of Petrochemical Technology,Beijing,China,102617
  2. Research Center for Eco-Environmental Engineering, Dongguan University of Technology,Dongguan,China,523808
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2018.12.007
  CLC：
- Published：2019
- Accepted：
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generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis[J]. 中国化学工程学报, 2019, 27(12): 3010-3016.
DOI：

generation selectivity in aqueous nitrate reduction using internal circulation micro-electrolysis[J]. 中国化学工程学报, 2019, 27(12): 3010-3016. DOI： 10.1016/j.cjche.2018.12.007.

摘要

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 N

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 N

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 N

generation selectivity for nitrate reduction by the ICE process

hus providing a theoretical basis for process design.

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

DOI：10.1016/j.cjche.2018.12.007

摘要

Abstract

关键词

Keywords

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