SO2, NOx and dioxin generated in sintering are still the main pollutants in steel industry and are urgently needed to be controlled. The most desirable way is to control them from source. However, the mechanism of the formation and control of SO2, NOx and dioxin from sources in sintering is still not cleared. In this project, the typical elements and its existing state in raw material of sintering will be firstly studied by atomic absorption, atomic emission and TG experiments. According to the thermodynamic behavior of typical elements, such as S and N, the influence of different sintering conditions on the formation of SO2, NOx and dioxin will be further studied. Meanwhile, the influence of typical metal elements, such as Pb and Cu, on the generation dynamic mechanism of SO2, NOx and dioxin. Based on these experimental and theory results, the interaction during the generation and control mechanism of SO2, NOx and dioxin from sources in sintering flue gas will be finally clarified. The successful implementation of this project will greatly enhance the understanding of the controlling theory of pollutants from source during sintering process, and provide key theoretical basis for efficient control of key gaseous pollutants such as SO2 and NOx from source.
烧结过程烟气中所产生的SO2、NOx、二噁英是我国当前钢铁行业治理的主要污染物,但这些污染物的源头形成及抑制机制尚未探明。本研究采用原子吸收、原子发射、热重等方法确定烧结原料中典型元素种类及赋存状态;根据N、S等特征元素的热力学行为来探究不同烧结条件对SO2、NOx和二噁英生成的影响规律,从而揭示其产生的热力学机制;通过Pb、Cu等典型金属元素对SO2、NOx和二噁英等污染物生成的作用构建SO2、NOx和二噁英产生的动力学机制;阐明烧结过程烟气中SO2、NOx和二噁英等污染物之间的相互作用机理,建立烧结过程烟气中污染物高效源头抑制机制。本研究的顺利实施,将极大提升行业对钢铁烧结过程烟气中污染物源头调控理论的认识,为烧结过程烟气中SO2、NOx等关键气态污染物的高效源头控制提供关键的理论依据。
烧结工序是钢铁冶炼过程中常规污染物排放强度最高的环节,其SO2、NOx的排放量分别占钢铁生产的60%,50%,二噁英的排放更是占90%以上。随着污染物减排政策陆续出台,污染物治理需求倍增,现有的减排技术主要集中在过程控制和末端治理上,而污染物的源头形成及抑制机制尚未探明。本研究采用X射线光电子能谱分析、X射线衍射仪、热重等方法确定烧结原料中典型元素种类及赋存状态;根据N、S等特征元素的热力学行为来探究不同烧结条件对SO2、NOx和二噁英生成的影响规律,从而揭示其产生的热力学机制;通过Pb、Cu等典型金属元素对SO2、NOx和二噁英等污染物生成的作用构建SO2、NOx和二噁英产生的动力学机制;阐明烧结过程烟气中SO2、NOx和二噁英等污染物之间的相互作用机理,建立烧结过程烟气中污染物高效源头抑制机制。本研究的顺利实施,将极大提升行业对钢铁烧结过程烟气中污染物源头调控理论的认识,为烧结过程烟气中SO2、NOx等关键气态污染物的高效源头控制提供关键的理论依据以及技术的支持。
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数据更新时间:2023-05-31
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