Literature DB >> 23485237

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

Javad Amanpour1, Dariush Salari, Aligholi Niaei, Seyed Mahdi Mousavi, Parvaneh Nakhostin Panahi.   

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%).

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Year:  2013        PMID: 23485237     DOI: 10.1080/10934529.2013.761490

Source DB:  PubMed          Journal:  J Environ Sci Health A Tox Hazard Subst Environ Eng        ISSN: 1093-4529            Impact factor:   2.269


  2 in total

1.  Generation of multi-valence Cu x O by reduction with activated semi-coke and their collaboration in the selective reduction of NO with NH3.

Authors:  Bo Peng; Shuoyang Liang; Zheng Yan; Hao Wang; Zhao Meng; Mei Zhang
Journal:  RSC Adv       Date:  2022-02-07       Impact factor: 3.361

2.  Study on the optimization of silicone copolymer synthesis and the evaluation of its thickening performance.

Authors:  Qiang Li; Yanling Wang; Qingchao Li; Gomado Foster; Chuang Lei
Journal:  RSC Adv       Date:  2018-02-26       Impact factor: 4.036

  2 in total

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