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采用响应面法优化 Cu/活性炭催化剂在低温选择性催化还原 NO 过程中的性能。

Optimization of Cu/activated carbon catalyst in low temperature selective catalytic reduction of NO process using response surface methodology.

机构信息

Department of Applied Chemistry and Chemical Engineering, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.

出版信息

J Environ Sci Health A Tox Hazard Subst Environ Eng. 2013;48(8):879-86. doi: 10.1080/10934529.2013.761490.

Abstract

Preparation of Cu/Activated Carbon (Cu/AC) catalyst was optimized for low temperature selective catalytic reduction of NO by using response surface methodology. A central composite design (CCD) was used to investigate the effects of three independent variables, namely pre-oxidization degree (HNO3%), Cu loading (wt.%) and calcination temperature on NO conversion efficiency. The CCD was consisted of 20 different preparation conditions of Cu/AC catalysts. The prepared catalysts were characterized by XRD and SEM techniques. Predicting NO conversion was carried out using a second order model obtained from designed experiments and statistical software Minitab 14. Regression and Pareto graphic analysis showed that all of the chosen parameters and some interactions were effective on the NO conversion. The optimal values were pre-oxidization in 10.2% HNO3, 6.1 wt.% Cu loading and 480°C for calcination temperature. Under the optimum condition, NO conversion (94.3%) was in a good agreement with predicted value (96.12%).

摘要

采用响应面法优化了用于低温选择性催化还原 NO 的 Cu/活性炭 (Cu/AC) 催化剂的制备。采用中心复合设计 (CCD) 研究了预氧化度 (HNO3%)、Cu 负载量 (wt.%) 和煅烧温度这三个独立变量对 NO 转化率的影响。CCD 由 20 种不同的 Cu/AC 催化剂制备条件组成。通过 XRD 和 SEM 技术对制备的催化剂进行了表征。使用设计实验和统计软件 Minitab 14 获得的二阶模型进行了预测 NO 转化率。回归和 Pareto 图形分析表明,所有选择的参数和一些相互作用对 NO 转化率都有影响。最佳值为预氧化度 10.2% HNO3、6.1wt.%Cu 负载量和 480°C 煅烧温度。在最佳条件下,NO 转化率 (94.3%) 与预测值 (96.12%) 吻合较好。

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