The identification of VOCs emission characteristic factors in production processof a typical pharmaceutical factory based on machine learning
Received Date:2021-10-27
Abstract:sion problem,is a key industry for implementing VOCs emission reduction. To implement VOCsemission reduction,it is neces... Open+
Abstract:sion problem,is a key industry for implementing VOCs emission reduction. To implement VOCsemission reduction,it is necessary to accurately identify key companies and production processes. Basedon the VOCs source profiles of a typical chemical synthetic pharmaceutical factory in a fine chemical in⁃dustrial park,the VOCs characteristic factors identification were carried out based on machine learningmethods such as feature selection,classification analysis,and cluster analysis. The results showed thatthe VOCs emission characteristic factors were identified as toluene,acetone,acetaldehyde,benzaldehydeand n-hexane. The identified characteristic factors were obviously simplified by machine learning meth⁃ods,and had similar concentration distribution in each production process. They could reflect the differ⁃ences in the species composition of VOCs emission from pollution sources. Close-
Authors:
- JING Deji1
- CHENG Nana1
- CAI Xingnong1
- SHI Zhanhong1
- YANG Chunya1
- LI Sujing1
- WANG Qiaoli2,*
- LI Wei1,*
Units
- 1.College of Chemical and Biological Engineering,Zhejiang University,Hangzhou 310007,China
- 2.College of Environment,Zhejiang University of Technology,Hangzhou 310014,China
Keywords
- Pharmaceutical factory
- VOCs
- Characteristic factors
- Machine learning
Citation
JING Deji,CHENG Nana,CAI Xingnong,et al. The identification of VOCs emission characteristic factors in pro⁃duction process of a typical pharmaceutical factory based on machine learning[J]. Energy Environmental Protec⁃tion,2022,36(1):77-82.
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2022 NO.01