Parallel comparisons between manual and automatic samplings in stack ducts

碩士 === 國立中山大學 === 環境工程研究所 === 103 === This study randomly selected three stationary sources, including urban garbage incinerators (A plant), electric arc furnace (B plant) and sintering furnace (C plant) to conduct automatic continuous sampling and analysis of flue gases and to compare the measureme...

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Main Authors: SHU- TING LIU, 劉書廷
Other Authors: Kang-Shin Chen
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/8q3f2q
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spelling ndltd-TW-103NSYS55150322019-05-15T22:18:01Z http://ndltd.ncl.edu.tw/handle/8q3f2q Parallel comparisons between manual and automatic samplings in stack ducts 煙道手動採樣與自動採樣之平行比對 SHU- TING LIU 劉書廷 碩士 國立中山大學 環境工程研究所 103 This study randomly selected three stationary sources, including urban garbage incinerators (A plant), electric arc furnace (B plant) and sintering furnace (C plant) to conduct automatic continuous sampling and analysis of flue gases and to compare the measurements with those using traditional manual sampling method. The results reveal that AMESA (automatic continuous monitoring equipment) is suitable for a long-period continuous monitoring and sampling (especially in C plant), but must consider the effect of penetration by adsorbent. The C plant had the highest penetration (11.0 ~ 12.6%), followed by B plant (0.42 ~ 0.99%) and A plant (0.12 ~ 0.45%) for a long-period automatic sampling. Due to the memory effect associated with particles in flue gases, the short automatic sampling device resulted in errors in analysis. For a short-period automatic sampling in A plant, the errors of PCDD / Fs OCDD concentration ratio declined from 59.5% to 42% for A plant, and declined from 81.9% by to 7.11 percent for C plant, which influenced mainly by the residuals of PCDD / Fs in pipelines. Results show that A plant is characterized by a high number of chlorine-based (OCDD and 1,2,3,4,6.7,8-HpCDD), while B plant is dominant with a low chlorine atoms mouth husband Nom class-based. Results also indicate that the adsorption of PCDD / Fs using AMESA is feasible, which not only saves the manpower in manual samplings, but also can simultaneously monitor a variety of hazardous air pollutants (PCDD / Fs, PCB and PBDEs). Kang-Shin Chen 陳康興 2015 學位論文 ; thesis 110 zh-TW
collection NDLTD
language zh-TW
format Others
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description 碩士 === 國立中山大學 === 環境工程研究所 === 103 === This study randomly selected three stationary sources, including urban garbage incinerators (A plant), electric arc furnace (B plant) and sintering furnace (C plant) to conduct automatic continuous sampling and analysis of flue gases and to compare the measurements with those using traditional manual sampling method. The results reveal that AMESA (automatic continuous monitoring equipment) is suitable for a long-period continuous monitoring and sampling (especially in C plant), but must consider the effect of penetration by adsorbent. The C plant had the highest penetration (11.0 ~ 12.6%), followed by B plant (0.42 ~ 0.99%) and A plant (0.12 ~ 0.45%) for a long-period automatic sampling. Due to the memory effect associated with particles in flue gases, the short automatic sampling device resulted in errors in analysis. For a short-period automatic sampling in A plant, the errors of PCDD / Fs OCDD concentration ratio declined from 59.5% to 42% for A plant, and declined from 81.9% by to 7.11 percent for C plant, which influenced mainly by the residuals of PCDD / Fs in pipelines. Results show that A plant is characterized by a high number of chlorine-based (OCDD and 1,2,3,4,6.7,8-HpCDD), while B plant is dominant with a low chlorine atoms mouth husband Nom class-based. Results also indicate that the adsorption of PCDD / Fs using AMESA is feasible, which not only saves the manpower in manual samplings, but also can simultaneously monitor a variety of hazardous air pollutants (PCDD / Fs, PCB and PBDEs).
author2 Kang-Shin Chen
author_facet Kang-Shin Chen
SHU- TING LIU
劉書廷
author SHU- TING LIU
劉書廷
spellingShingle SHU- TING LIU
劉書廷
Parallel comparisons between manual and automatic samplings in stack ducts
author_sort SHU- TING LIU
title Parallel comparisons between manual and automatic samplings in stack ducts
title_short Parallel comparisons between manual and automatic samplings in stack ducts
title_full Parallel comparisons between manual and automatic samplings in stack ducts
title_fullStr Parallel comparisons between manual and automatic samplings in stack ducts
title_full_unstemmed Parallel comparisons between manual and automatic samplings in stack ducts
title_sort parallel comparisons between manual and automatic samplings in stack ducts
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/8q3f2q
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