Removal of NO by using sodium persulfate/limestone slurry: Modeling by response surface methodology
| Autor: | Qin Yang, Rui-tang Guo, Xu Shi, Peng-yao Jia, Li Yuxuan, Xing-yu Liu, Qi-yan Xu, Hao Qin, Wei-guo Pan, Zhong-zhu Qiu, Zhong-yi Wang |
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| Rok vydání: | 2019 |
| Předmět: |
Work (thermodynamics)
Model equation Correlation coefficient 020209 energy General Chemical Engineering Organic Chemistry Inorganic chemistry Energy Engineering and Power Technology 02 engineering and technology Persulfate Sodium persulfate chemistry.chemical_compound Fuel Technology 020401 chemical engineering chemistry 0202 electrical engineering electronic engineering information engineering Slurry No removal Response surface methodology 0204 chemical engineering |
| Zdroj: | Fuel. 254:115612 |
| ISSN: | 0016-2361 |
| DOI: | 10.1016/j.fuel.2019.06.020 |
| Popis: | In this work, NO removal process by using sodium persulfate/limestone slurry was investigated. Based on the response surface methodology, the effects of operation parameters, including reaction temperature, sodium persulfate concentration, initial concentration of NO and the concentration of transition metal ions, on NO removal efficiency were investigated. It was found that reaction temperature was the determining factor in NO removal process among all the variables studied, another significant parameter was the persulfate concentration in the mixed slurry. Moreover, the interaction of the reaction temperature with the persulfate concentration also played an important role for their double activation on the removal process. The proposed model equation using response surface methodology had shown good agreement with the experimental data, with a correlation coefficient (R2) of 0.9511. Through the analysis, it was found that the maximum value of NO removal efficiency (85.7%) could be obtained at the specific reaction temperature (58.3 °C) and sodium persulfate concentration (0.066 mol/L), respectively. Therefore, persulfate/limestone slurry is suitable for efficient NO removal. |
| Databáze: | OpenAIRE |
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