A Novel Approach for the Particulate Matter(PM) Reduction in the Industrial Complex using Integrated Data Platform

Seokjin Chung, Seok Jung
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Abstract

Manufacturing processes in industrial complexes produce NOx, SOx, VOCs, which cause particulate matter (PM). Therefore, this study analyzed the characteristics of each industrial complex by using scattered public data, matched the existing particulate matter(PM) reduction technology, and proposed an optimized reduction plan. The application of matching technologies and facilities by industrial complexes based on data is able to mitigate NOx, SOx, and VOCs which cause particulate matter in the process in advance. This way can be an effective alternative in order to reduce PM in the manufacturing processes as well as industrial complexes.
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利用综合数据平台减少工业园区颗粒物(PM)的新方法
工业综合体的制造过程会产生氮氧化物、硫氧化物和挥发性有机化合物,这些物质会导致颗粒物(PM)。因此,本研究利用分散的公共数据,分析各工业园区的特点,匹配现有的颗粒物(PM)减排技术,提出优化的减排方案。基于数据的工业综合体配套技术和设施的应用,能够提前减少过程中产生颗粒物的NOx、SOx和VOCs。这种方式可以是一个有效的替代方案,以减少PM在制造过程以及工业综合体。
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