Unit-based emission inventory and uncertainty assessment of coal-fired power plants

A unit-based emission inventory of coal-fired power plants in China was developed which contains unit capacity, coal consumption, emission control technology and geographical location. Estimated total emissions of SO2, NOx, particulate matter (PM) and PM2.5 in 2011 were 7251 kt, 8067 kt, 1433 kt and...

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Veröffentlicht in:Atmospheric environment (1994) 2014-12, Vol.99, p.527-535
Hauptverfasser: Chen, Linghong, Sun, Yangyang, Wu, Xuecheng, Zhang, Yongxin, Zheng, Chenghang, Gao, Xiang, Cen, Kefa
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container_issue
container_start_page 527
container_title Atmospheric environment (1994)
container_volume 99
creator Chen, Linghong
Sun, Yangyang
Wu, Xuecheng
Zhang, Yongxin
Zheng, Chenghang
Gao, Xiang
Cen, Kefa
description A unit-based emission inventory of coal-fired power plants in China was developed which contains unit capacity, coal consumption, emission control technology and geographical location. Estimated total emissions of SO2, NOx, particulate matter (PM) and PM2.5 in 2011 were 7251 kt, 8067 kt, 1433 kt and 622 kt, respectively. Units larger than 300 MW consumed 75% coal, while emitting 46% SO2, 58% NOx, 55% PM and 63.2% PM2.5. Emission comparisons between key regions such as the Yangtze River Delta, the Pearl River Delta and Shandong Province showed a general downward trend from 2005 to 2011, mainly because of the growing application ratio of desulphurisation, LNBs, denitration and dust-removal facilities. The uncertainties at unit level of SO2, NOx, PM and PM2.5 were estimated to be −10.1% ∼ +5.4%, −2.1% ∼ +4.6%, −5.7% ∼ +6.9% and −4.3% ∼ +6.5%, respectively. Meanwhile sector-based Monte Carlo simulation was conducted for better understanding of the uncertainties. Unit-based simulation yielded narrowed estimates of uncertainties, possibly caused by the neglected diversity of emission characteristics in sector-based simulation. The large number of plants narrowed unit-based uncertainties as large uncertainties were found in provinces with a small number of power plants, such as Qinghai. However, sector-based uncertainty analysis well depends on detailed source classification, because small NOx uncertainties were found in Shandong due to the detailed classification of NOx emission factors. The main uncertainty sources are discussed in the sensitivity analysis, which identifies specific needs in data investigation and field measures to improve them. Though unit-based Monte Carlo greatly narrowed uncertainties, the possibility of underestimated uncertainties at unit level cannot be ignored as the correlation of emission factors between units in the same source category was neglected. •Large amount of plants decreases uncertainties in unit-based inventory.•Uncertainties at sector level mainly depend on the detailed source classification.•Field measurements are compiled to include NOx emission factor database.•Unit-based emission inventory of coal-fired power plants was developed for 2011.•Emission comparison between 2005 and 2011 showed a downward trend in key regions.
doi_str_mv 10.1016/j.atmosenv.2014.10.023
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Estimated total emissions of SO2, NOx, particulate matter (PM) and PM2.5 in 2011 were 7251 kt, 8067 kt, 1433 kt and 622 kt, respectively. Units larger than 300 MW consumed 75% coal, while emitting 46% SO2, 58% NOx, 55% PM and 63.2% PM2.5. Emission comparisons between key regions such as the Yangtze River Delta, the Pearl River Delta and Shandong Province showed a general downward trend from 2005 to 2011, mainly because of the growing application ratio of desulphurisation, LNBs, denitration and dust-removal facilities. The uncertainties at unit level of SO2, NOx, PM and PM2.5 were estimated to be −10.1% ∼ +5.4%, −2.1% ∼ +4.6%, −5.7% ∼ +6.9% and −4.3% ∼ +6.5%, respectively. Meanwhile sector-based Monte Carlo simulation was conducted for better understanding of the uncertainties. Unit-based simulation yielded narrowed estimates of uncertainties, possibly caused by the neglected diversity of emission characteristics in sector-based simulation. The large number of plants narrowed unit-based uncertainties as large uncertainties were found in provinces with a small number of power plants, such as Qinghai. However, sector-based uncertainty analysis well depends on detailed source classification, because small NOx uncertainties were found in Shandong due to the detailed classification of NOx emission factors. The main uncertainty sources are discussed in the sensitivity analysis, which identifies specific needs in data investigation and field measures to improve them. 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Estimated total emissions of SO2, NOx, particulate matter (PM) and PM2.5 in 2011 were 7251 kt, 8067 kt, 1433 kt and 622 kt, respectively. Units larger than 300 MW consumed 75% coal, while emitting 46% SO2, 58% NOx, 55% PM and 63.2% PM2.5. Emission comparisons between key regions such as the Yangtze River Delta, the Pearl River Delta and Shandong Province showed a general downward trend from 2005 to 2011, mainly because of the growing application ratio of desulphurisation, LNBs, denitration and dust-removal facilities. The uncertainties at unit level of SO2, NOx, PM and PM2.5 were estimated to be −10.1% ∼ +5.4%, −2.1% ∼ +4.6%, −5.7% ∼ +6.9% and −4.3% ∼ +6.5%, respectively. Meanwhile sector-based Monte Carlo simulation was conducted for better understanding of the uncertainties. Unit-based simulation yielded narrowed estimates of uncertainties, possibly caused by the neglected diversity of emission characteristics in sector-based simulation. The large number of plants narrowed unit-based uncertainties as large uncertainties were found in provinces with a small number of power plants, such as Qinghai. However, sector-based uncertainty analysis well depends on detailed source classification, because small NOx uncertainties were found in Shandong due to the detailed classification of NOx emission factors. The main uncertainty sources are discussed in the sensitivity analysis, which identifies specific needs in data investigation and field measures to improve them. Though unit-based Monte Carlo greatly narrowed uncertainties, the possibility of underestimated uncertainties at unit level cannot be ignored as the correlation of emission factors between units in the same source category was neglected. •Large amount of plants decreases uncertainties in unit-based inventory.•Uncertainties at sector level mainly depend on the detailed source classification.•Field measurements are compiled to include NOx emission factor database.•Unit-based emission inventory of coal-fired power plants was developed for 2011.•Emission comparison between 2005 and 2011 showed a downward trend in key regions.</description><subject>Applied sciences</subject><subject>Atmospheric pollution</subject><subject>China</subject><subject>Classification</subject><subject>Coal</subject><subject>Coal fired powerplants</subject><subject>Coal-fired power plant</subject><subject>Combustion and energy production</subject><subject>Computer simulation</subject><subject>Emission</subject><subject>Emission analysis</subject><subject>Exact sciences and technology</subject><subject>Freshwater</subject><subject>Monte Carlo methods</subject><subject>NOx</subject><subject>PM2.5</subject><subject>Pollution</subject><subject>Pollution sources</subject><subject>Pollution sources. 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Estimated total emissions of SO2, NOx, particulate matter (PM) and PM2.5 in 2011 were 7251 kt, 8067 kt, 1433 kt and 622 kt, respectively. Units larger than 300 MW consumed 75% coal, while emitting 46% SO2, 58% NOx, 55% PM and 63.2% PM2.5. Emission comparisons between key regions such as the Yangtze River Delta, the Pearl River Delta and Shandong Province showed a general downward trend from 2005 to 2011, mainly because of the growing application ratio of desulphurisation, LNBs, denitration and dust-removal facilities. The uncertainties at unit level of SO2, NOx, PM and PM2.5 were estimated to be −10.1% ∼ +5.4%, −2.1% ∼ +4.6%, −5.7% ∼ +6.9% and −4.3% ∼ +6.5%, respectively. Meanwhile sector-based Monte Carlo simulation was conducted for better understanding of the uncertainties. Unit-based simulation yielded narrowed estimates of uncertainties, possibly caused by the neglected diversity of emission characteristics in sector-based simulation. The large number of plants narrowed unit-based uncertainties as large uncertainties were found in provinces with a small number of power plants, such as Qinghai. However, sector-based uncertainty analysis well depends on detailed source classification, because small NOx uncertainties were found in Shandong due to the detailed classification of NOx emission factors. The main uncertainty sources are discussed in the sensitivity analysis, which identifies specific needs in data investigation and field measures to improve them. Though unit-based Monte Carlo greatly narrowed uncertainties, the possibility of underestimated uncertainties at unit level cannot be ignored as the correlation of emission factors between units in the same source category was neglected. •Large amount of plants decreases uncertainties in unit-based inventory.•Uncertainties at sector level mainly depend on the detailed source classification.•Field measurements are compiled to include NOx emission factor database.•Unit-based emission inventory of coal-fired power plants was developed for 2011.•Emission comparison between 2005 and 2011 showed a downward trend in key regions.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.atmosenv.2014.10.023</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-8171-4632</orcidid></addata></record>
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source Elsevier ScienceDirect Journals
subjects Applied sciences
Atmospheric pollution
China
Classification
Coal
Coal fired powerplants
Coal-fired power plant
Combustion and energy production
Computer simulation
Emission
Emission analysis
Exact sciences and technology
Freshwater
Monte Carlo methods
NOx
PM2.5
Pollution
Pollution sources
Pollution sources. Measurement results
SO2
Uncertainty
Uncertainty assessment
Unit-based emission inventory
title Unit-based emission inventory and uncertainty assessment of coal-fired power plants
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