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首页> 外文期刊>Journal of the air & waste management association >Synergistic Mercury Removal by Conventional Pollutant Control Strategies for Coal-Fired Power Plants in China
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Synergistic Mercury Removal by Conventional Pollutant Control Strategies for Coal-Fired Power Plants in China

机译:中国燃煤电厂常规污染物控制策略协同去除汞

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China's 11th 5-yr plan has regulated total sulfur dioxide (SO_2) emissions by installing flue gas desulfurization (FGD) devices and shutting down small thermal power units. These control measures will not only significantly reduce the emission of conventional pollutants but also benefit the reduction of mercury emissions from coal-fired power plants. This paper uses the emission factor method to estimate the efficiencies of these measures on mercury emission abatement. From 2005 to 2010, coal consumption in power plants will increase by 59%; however, the mercury emission will only rise from 141 to 155 t, with an increase of 10%. The average emission rate of mercury from coal burning will decrease from 126 mg Hg/t of coal to 87 mg Hg/t of coal. The effects of the three desulfurization measures were assessed and show that wet FGD will play an important role in mercury removal. Mercury emissions in 2015 and 2020 are also projected under different policy scenarios. Under the most probable scenario, the total mercury emission in coal-fired power plants in China will decrease to 1301 by 2020, which will benefit from the rapid installation of fabric filters and selective catalytic reduction.
机译:中国的“十一五”计划通过安装烟气脱硫(FGD)装置和关闭小型火力发电机组来调节二氧化硫(SO_2)的排放总量。这些控制措施不仅将显着减少常规污染物的排放,而且还将有利于减少燃煤电厂的汞排放。本文使用排放因子方法来评估这些措施对减少汞排放的效率。从2005年到2010年,发电厂的煤炭消耗量将增长59%。但是,汞排放量仅从141吨增加到155吨,增加了10%。燃煤产生的汞的平均排放率将从126 mg Hg / t煤降至87 mg Hg / t煤。对这三种脱硫措施的效果进行了评估,结果表明湿法烟气脱硫将在除汞中发挥重要作用。还根据不同的政策情景预测了2015年和2020年的汞排放量。在最可能的情况下,到2020年,中国燃煤电厂的汞排放总量将减少至1301,这将得益于快速安装的织物过滤器和选择性的催化还原。

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    Department of Environmental Science and Engineering, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, People's Republic of China;

    rnDepartment of Environmental Science and Engineering, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, People's Republic of China;

    rnDepartment of Environmental Science and Engineering, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, People's Republic of China;

    rnDepartment of Environmental Science and Engineering, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, People's Republic of China;

    rnDepartment of Environmental Science and Engineering, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, People's Republic of China School of Engineering and Applied Sciences, Harvard University, Cambridge, MA;

    rnDepartment of Environmental Science and Engineering, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, People's Republic of China;

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