Synergistic Emission Reduction of Particulate Pollutants in Coal-fired Power Plants Using Ultra-low Emission Technology

The total particulate matter (TPM) is a crucial indicator when evaluating flue gas emissions from coal-fired units. TPM contains solid and liquid contaminants and condensable particulate matter (CPM), which is mainly composed of sulfate and various anions, cations, and metal ions. This study selecte...

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Published inAerosol and Air Quality Research Vol. 20; no. 11; pp. 2529 - 2535
Main Authors Tao, Leixing, Wang, Yanyan, Yue, Chunmei, Shen, Zhigang, Liu, Zhichao, Liu, Qizhen, Lu, Junchao, Ding, Honglei, Pan, Weiguo
Format Journal Article
LanguageEnglish
Published Taoyuan City 社團法人台灣氣膠研究學會 01.11.2020
Taiwan Association of Aerosol Research
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Summary:The total particulate matter (TPM) is a crucial indicator when evaluating flue gas emissions from coal-fired units. TPM contains solid and liquid contaminants and condensable particulate matter (CPM), which is mainly composed of sulfate and various anions, cations, and metal ions. This study selected three typical large-capacity coal-fired power plants in Shanghai retrofitted with ultra-low emission technology and monitored their emissions of PM_(2.5), SO_3, and CPM during power generation. The results showed that the plants achieved comprehensive removal rates of 99.689-99.878% and 86.99-92.92% for PM_(2.5) and SO_3, resulting in emitted concentrations of approximately 0.99-1.79 and 1.91-2.50 mg m^(-3), respectively, which are considerably lower than those associated with the traditional flue gas process. Additionally, a significant decrease in the emitted filterable particulate matter (FPM) caused a simultaneous decrease in CPM. After being equipped with the ultra-low emission technology, the units displayed a 76% reduction in the emitted FPM concentration and a smaller FPM/CPM ratio (1:2 vs. 1:1). The emitted TPM (the sum of CPM and FPM) was reduced by 82%, with an average measured concentration of 7.36 ± 3.56 mg m^(-3). The values we obtained are representative and provide basic data for environmental assessment and local environmental policy formulation.
ISSN:1680-8584
2071-1409
DOI:10.4209/aaqr.2020.01.0004