硫代硫酸钠抑制亚硫酸铵湿铵烟气脱硫的宏观动力学研究

IF 1.5 4区 化学 Q4 CHEMISTRY, PHYSICAL
Jian Peng, Wen Yao, Peichao Lian
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引用次数: 0

摘要

为了提高氨法烟气脱硫工艺的经济性和循环性能,必须抑制亚硫酸铵的氧化。采用搅拌鼓泡反应器,研究了硫代硫酸钠对亚硫酸铵湿法脱硫的抑制氧化宏观动力学。讨论了初始so32 - ${\rm SO}^{2-}_{3}$浓度、Na2S2O3浓度、pH值、气体流速和温度对氧化速率的影响。结果表明,该反应的表观活化能为37.3 kJ/mol。建立了硫代硫酸钠在氨脱硫过程中抑制亚硫酸盐氧化的宏观动力学方程。结合动力学模型推断,硫代硫酸钠抑制亚硫酸铵氧化的速率受本征化学反应控制。研究结果可为湿法氨法脱硫过程中亚硫酸铵的再生提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macrokinetics of ammonium sulfite oxidation inhibited by sodium thiosulfate in wet ammonium flue gas desulfurization

The oxidation of ammonium sulfite must be inhibited to improve the economy and cycle performance of the ammonia flue gas desulfurization process. A stirred bubbling reactor was used to investigate the macrokinetics of oxidation inhibition of ammonium sulfite by sodium thiosulfate in wet ammonia desulfurization. The effects of initial SO 3 2 ${\rm SO}^{2-}_{3}$ concentration, Na2S2O3 concentration, pH value, gas flow rate, and temperature on the oxidation rate were discussed. The results show that the apparent activation energy of the reaction is 37.3 kJ/mol. The macrokinetics equation of sodium thiosulfate inhibiting sulfite oxidation in the ammonia desulfurization process was established. Combined with the kinetic model, it is inferred that the rate of sodium thiosulfate inhibiting ammonium sulfite oxidation is controlled by the intrinsic chemical reaction. The results can provide a reference for the regeneration of ammonium sulfite in the wet ammonia desulfurization process.

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来源期刊
CiteScore
3.30
自引率
6.70%
发文量
74
审稿时长
3 months
期刊介绍: As the leading archival journal devoted exclusively to chemical kinetics, the International Journal of Chemical Kinetics publishes original research in gas phase, condensed phase, and polymer reaction kinetics, as well as biochemical and surface kinetics. The Journal seeks to be the primary archive for careful experimental measurements of reaction kinetics, in both simple and complex systems. The Journal also presents new developments in applied theoretical kinetics and publishes large kinetic models, and the algorithms and estimates used in these models. These include methods for handling the large reaction networks important in biochemistry, catalysis, and free radical chemistry. In addition, the Journal explores such topics as the quantitative relationships between molecular structure and chemical reactivity, organic/inorganic chemistry and reaction mechanisms, and the reactive chemistry at interfaces.
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