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Environ Pollut


Title:VOCs emission rate estimate for complicated industrial area source using an inverse-dispersion calculation method: A case study on a petroleum refinery in Northern China
Author(s):Wei W; Lv Z; Yang G; Cheng S; Li Y; Wang L;
Address:"Department of Environmental Science and Engineering, Beijing University of Technology, Beijing, 100124, China; Key Laboratory of Beijing on Regional Air Pollution Control, Beijing, 100124, China. Electronic address: weiwei@bjut.edu.cn. Department of Environmental Science and Engineering, Beijing University of Technology, Beijing, 100124, China. Department of Environmental Science and Engineering, Beijing University of Technology, Beijing, 100124, China; Key Laboratory of Beijing on Regional Air Pollution Control, Beijing, 100124, China. Department of Environmental Engineering, School of City Construction, Hebei University of Engineering, Handan, Hebei, 056038, China"
Journal Title:Environ Pollut
Year:2016
Volume:20160810
Issue:
Page Number:681 - 688
DOI: 10.1016/j.envpol.2016.07.062
ISSN/ISBN:1873-6424 (Electronic) 0269-7491 (Linking)
Abstract:"This study aimed to apply an inverse-dispersion calculation method (IDM) to estimate the emission rate of volatile organic compounds (VOCs) for the complicated industrial area sources, through a case study on a petroleum refinery in Northern China. The IDM was composed of on-site monitoring of ambient VOCs concentrations and meteorological parameters around the source, calculation of the relationship coefficient gamma between the source's emission rate and the ambient VOCs concentration by the ISC3 model, and estimation of the actual VOCs emission rate from the source. Targeting the studied refinery, 10 tests and 8 tests were respectively conducted in March and in June of 2014. The monitoring showed large differences in VOCs concentrations between background and downwind receptors, reaching 59.7 ppbv in March and 248.6 ppbv in June, on average. The VOCs increases at receptors mainly consisted of ethane (3.1%-22.6%), propane (3.8%-11.3%), isobutane (8.5%-10.2%), n-butane (9.9%-13.2%), isopentane (6.1%-12.9%), n-pentane (5.1%-9.7%), propylene (6.1-11.1%) and 1-butylene (1.6%-5.4%). The chemical composition of the VOCs increases in this field monitoring was similar to that of VOCs emissions from China's refineries reported, which revealed that the ambient VOCs increases were predominantly contributed by this refinery. So, we used the ISC3 model to create the relationship coefficient gamma for each receptor of each test. In result, the monthly VOCs emissions from this refinery were calculated to be 183.5 +/- 89.0 ton in March and 538.3 +/- 281.0 ton in June. The estimate in June was greatly higher than in March, chiefly because the higher environmental temperature in summer produced more VOCs emissions from evaporation and fugitive process of the refinery. Finally, the VOCs emission factors (g VOCs/kg crude oil refined) of 0.73 +/- 0.34 (in March) and 2.15 +/- 1.12 (in June) were deduced for this refinery, being in the same order with previous direct-measurement results (1.08-2.65 g VOCs/kg crude oil refined). An inverse-dispersion calculation method was applied to estimate VOCs emission rate for a petroleum refinery, being 183.5 ton/month (March) and 538.3 ton/month (June)"
Keywords:Air Pollutants/*chemistry China *Oil and Gas Industry Petroleum/*analysis Seasons Volatile Organic Compounds/*chemistry Emission rate Industrial area source Inverse-dispersion calculation method Petroleum refinery VOCs;
Notes:"MedlineWei, Wei Lv, Zhaofeng Yang, Gan Cheng, Shuiyuan Li, Yue Wang, Litao eng England 2016/08/16 Environ Pollut. 2016 Nov; 218:681-688. doi: 10.1016/j.envpol.2016.07.062. Epub 2016 Aug 10"

 
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