基于新型催化剂的烟气脱硫脱硝协同反应路径优化研究

李宏宇

现代工业与技术 ›› 2025, Vol. 2 ›› Issue (4) : 13 -15.

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现代工业与技术 ›› 2025, Vol. 2 ›› Issue (4) : 13 -15. DOI: 10.12349/mit.v2i4.7161

基于新型催化剂的烟气脱硫脱硝协同反应路径优化研究

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Research on Optimization of Synergistic Reaction Path for Flue Gas Desulfurization and Denitrification Based on New Catalysts

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摘要

工业烟气中排放的SO2与NOx是造成大气污染的主要源头,现阶段因为传统的脱硫脱硝技术存在这设备投资高、运行成本大、协同效率低等问题,所以开发高效协同的净化技术便成为了环境工程领域的研究热点。本文便以新型催化剂为核心,系统地分析烟气脱硫脱硝协同反应的基本机理,在文中从催化剂活性组分设计、载体改性、助催化剂筛选三个维度入手来优化催化剂结构,再结合反应温度、空速、反应物浓度等工艺参数进行调控,最终提出了协同反应路径的优化策略。该研究为工业烟气协同净化技术的工业化应用提供了理论支撑与技术参考,对于降低大气污染物排放、改善空气质量具有重要的意义。

Abstract

SO2 and NO <e:1> emitted from industrial flue gas are the main sources of air pollution. At present, due to the problems of high equipment investment, high operating cost and low synergy efficiency of traditional desulfurization and denitrification technologies, the development of efficient and synergistic purification technologies has become a research hotspot in the field of environmental engineering. This paper takes the new type of catalyst as the core and systematically analyzes the basic mechanism of the synergistic reaction of flue gas desulfurization and denitrification. In the paper, the structure of the catalyst is optimized from three dimensions: the design of active components of the catalyst, the modification of the carrier, and the screening of co-catalysts. Then, combined with process parameters such as reaction temperature, space velocity, and reactant concentration for regulation, the optimization strategy of the synergistic reaction path is finally proposed. This research provides theoretical support and technical reference for the industrial application of industrial flue gas co-purification technology, which is of great significance for reducing the emission of air pollutants and improving air quality.

关键词

新型催化剂 / 烟气净化 / 脱硫脱硝协同 / 工艺参数调控

Key words

New type catalyst / Flue gas purification / Synergistic desulfurization and denitrification / Regulation of process parameters

引用本文

引用格式 ▾
李宏宇. 基于新型催化剂的烟气脱硫脱硝协同反应路径优化研究[J]. 现代工业与技术, 2025, 2(4): 13-15 DOI:10.12349/mit.v2i4.7161

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参考文献

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