Open AccessUncertainty Analysis on Process Organized Emission Inventory in Petrochemical Enterprises of Hainan Province
Author(s) -
Da Xie,
Xiaxia Zhang,
Qi Sheng Han,
Qingyang He,
Xianglong Meng,
Liang Feng,
Kang Zhou
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/295/5/052052
Subject(s) - emission inventory , environmental science , petrochemical , pollutant , particulates , nox , operations research , environmental engineering , engineering , chemistry , combustion , organic chemistry
The study qualitatively and quantitatively evaluated the uncertainty of the emission inventory of SO 2 , NOx, particulate matter (PM) and non-methane volatile organic compounds (NMVOCs) based on the measurement method in the process of organized sources in eight typical petroleum refining enterprises in Hainan Province in 2017. According to the TRACE-P inventory grading, the activity level data uncertainty was between I and II, and the emission factor rating was roughly C-level. The qualitative assessment of the emission inventory is “good”. The Monte Carlo simulation model was used to quantitatively evaluate the uncertainty. The results show that the uncertainties in emission inventory of SO 2 , NOx, PM and NMVOCs are ±2.9%, ±6.3%, ±7.6% and ±13.7%, respectively, with the highest uncertainty in NMVOCs emissions. The study on emission inventory uncertainty will help decision makers to scientifically formulate air pollutant control strategies for the accessibility of pollutant emission reduction targets of petrochemical enterprises and guide the improvement of emission inventory and data collection.