A dynamic model for fugitive emissions from valves
碩士 === 國立高雄第一科技大學 === 環境與安全衛生工程研究所 === 100 === Valves are the most used components in the petroleum and chemical industrial processes. The amount of fugitive emissions from valves accounts for 58.2% of all emissions from petrochemical plants, which is also the greatest among all components and equip...
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ndltd-TW-100NKIT55190102015-10-13T21:33:07Z http://ndltd.ncl.edu.tw/handle/75415529122155130744 A dynamic model for fugitive emissions from valves 閥件動態逸散模式探討 Pao-Hung Chang 張寶鴻 碩士 國立高雄第一科技大學 環境與安全衛生工程研究所 100 Valves are the most used components in the petroleum and chemical industrial processes. The amount of fugitive emissions from valves accounts for 58.2% of all emissions from petrochemical plants, which is also the greatest among all components and equipment. Since valve structures deteriorate and corrode over time, the fugitive emissions increase every year. However, the calculated methods such as Average Emission Factor, Stratified Emission Factor, and field test methods used in the past do not take into account of the aging, size and operating conditions. The purposes of this study are to explore the relationships between Envelopment Test data and operating parameters and to develop a dynamic model base on aging, size and operating conditions. The result show that there is no correlation between fugitive emissions obtain from the Envelopment Test at a refinery and the operate conditions.The result also show that the prediction value is significantly related with time.The dynamic model is able to improvement for valve maintenance in the future. Future research could be extended through the related experiments to improvement dynamic model for fugitive emissions from valves. Kuo-Shuh Fan 樊國恕 2012 學位論文 ; thesis 128 zh-TW |
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碩士 === 國立高雄第一科技大學 === 環境與安全衛生工程研究所 === 100 === Valves are the most used components in the petroleum and chemical industrial processes. The amount of fugitive emissions from valves accounts for 58.2% of all emissions from petrochemical plants, which is also the greatest among all components and equipment. Since valve structures deteriorate and corrode over time, the fugitive emissions increase every year. However, the calculated methods such as Average Emission Factor, Stratified Emission Factor, and field test methods used in the past do not take into account of the aging, size and operating conditions.
The purposes of this study are to explore the relationships between Envelopment Test data and operating parameters and to develop a dynamic model base on aging, size and operating conditions. The result show that there is no correlation between fugitive emissions obtain from the Envelopment Test at a refinery and the operate conditions.The result also show that the prediction value is significantly related with time.The dynamic model is able to improvement for valve maintenance in the future. Future research could be extended through the related experiments to improvement dynamic model for fugitive emissions from valves.
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author2 |
Kuo-Shuh Fan |
author_facet |
Kuo-Shuh Fan Pao-Hung Chang 張寶鴻 |
author |
Pao-Hung Chang 張寶鴻 |
spellingShingle |
Pao-Hung Chang 張寶鴻 A dynamic model for fugitive emissions from valves |
author_sort |
Pao-Hung Chang |
title |
A dynamic model for fugitive emissions from valves |
title_short |
A dynamic model for fugitive emissions from valves |
title_full |
A dynamic model for fugitive emissions from valves |
title_fullStr |
A dynamic model for fugitive emissions from valves |
title_full_unstemmed |
A dynamic model for fugitive emissions from valves |
title_sort |
dynamic model for fugitive emissions from valves |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/75415529122155130744 |
work_keys_str_mv |
AT paohungchang adynamicmodelforfugitiveemissionsfromvalves AT zhāngbǎohóng adynamicmodelforfugitiveemissionsfromvalves AT paohungchang fájiàndòngtàiyìsànmóshìtàntǎo AT zhāngbǎohóng fájiàndòngtàiyìsànmóshìtàntǎo AT paohungchang dynamicmodelforfugitiveemissionsfromvalves AT zhāngbǎohóng dynamicmodelforfugitiveemissionsfromvalves |
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1718065734714654720 |