國家衛生研究院 NHRI:Item 3990099045/10063
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/10063


    Title: Large-scale search method for locating and identifying fugitive emission sources in petrochemical processing areas
    Authors: Yang, JC;Chang, PE;Chie, WC;Liu, JP;Wu, CF
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: Background Fugitive emission sources generated from leaking components are often difficult to identify and locate, especially in petrochemical processing areas, which have concentrated facilities and equipment. Methods A large-scale search method for locating and identifying fugitive emission sources in a petrochemical processing area by using multiple intersecting open-path Fourier transform infrared (OP-FTIR) beam paths and multivariate statistical methods is proposed in this study. Multivariate statistical methods, namely principal component analysis (PCA) and correspondence analysis (CA), were applied to the measured data set and the characteristics of emission sources were summarized. Results Styrene, 1,3-butadiene, cyclohexane, ammonia, ethylene, propylene and methanol were identified in most beam paths with mean concentrations up to 75.3 ± 11.4 ppbv, 355.2 ± 34.6 ppbv, 188.1 ± 17.82 ppbv, 255.57 ± 19.28 ppbv, 194.3 ± 18.2 ppbv, and 94.0 ± 16.7 ppbv, respectively. PCA extracted at least three source categories in the plant. CA provided additional information about the approximate locations of each source, and thus, future emission reduction plans can be developed accordingly. Conclusion This study established a dynamic approach for locating fugitive emission sources in a complex petrochemical plant by applying an OP-FTIR matrix-path approach combined with PCA and CA. Future emission reduction plans can be developed according to the findings of PCA and CA.
    Date: 2016-11
    Relation: Process Safety and Environmental Protection. 2016 Nov;104(Pt A):382-394.
    Link to: http://dx.doi.org/10.1016/j.psep.2016.09.015
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0957-5820&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000389389400032
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84991256013
    Appears in Collections:[Jen-Pei Liu(1998-2002)] Periodical Articles

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