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

통합데이터 플랫폼을 활용한 산업단지 미세먼지 저감 방안

  • Chung, Seokjin (Ministry of Trade, Industry and Energy, Industrial Environment Division) ;
  • Jung, Seok (Ministry of Trade, Industry and Energy, Coal and Mineral Resources Division)
  • 정석진 (산업통상자원부 산업환경과) ;
  • 정석 (산업통상자원부 석탄광물산업과)
  • Received : 2020.01.17
  • Accepted : 2020.02.10
  • Published : 2020.02.28

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.

산업단지 내 입주기업들의 제조공정에서는 미세먼지 생성 원인물질인 질산화물(NOx), 황산화물(SOx), 휘발성 유기화합물(VOCs) 등이 다양한 형태로 배출되고 있다. 본 연구에서는 효과적인 산업단지 미세먼지 저감을 위해 산재해 있는 공공데이터를 활용하여 산업단지별 특성을 분석하고 미세먼지 감축 기술과 매칭하여 미세먼지를 감축할 수 있는 최적화 감축 방안을 제시하였다. 데이터를 기반으로 한 산업단지 별 맞춤형 기술 및 설비 적용은 미세먼지 전구물질을 공정에서 사전에 감축함으로써 산업단지 미세먼지 뿐만 아니라 제조업 미세먼지 감축을 위한 효과적인 대안이 될 것이다.

Keywords

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