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Uncertainties in Estimating Mercury Emissions from Coal-fired Power Plants in China : Volume 9, Issue 6 (05/11/2009)

By Wu, Y.

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Book Id: WPLBN0003990394
Format Type: PDF Article :
File Size: Pages 24
Reproduction Date: 2015

Title: Uncertainties in Estimating Mercury Emissions from Coal-fired Power Plants in China : Volume 9, Issue 6 (05/11/2009)  
Author: Wu, Y.
Volume: Vol. 9, Issue 6
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2009
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Wang, S. X., Hao, J. M., Wu, Y., & Streets, D. G. (2009). Uncertainties in Estimating Mercury Emissions from Coal-fired Power Plants in China : Volume 9, Issue 6 (05/11/2009). Retrieved from http://www.ebooklibrary.org/


Description
Description: Department of Environmental Science and Engineering, and State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing, China. A detailed multiple-year inventory of mercury emissions from anthropogenic activities in China has been developed. Coal combustion and nonferrous metals production continue to be the two leading mercury sources in China, together contributing ~80% of total mercury emissions. Within our inventory, a new comprehensive sub-module for estimation of mercury emissions from coal-fired power plants in China is constructed for uncertainty case-study. The new sub-module integrates up-to-date information regarding mercury content in coal by province, coal washing and cleaning, coal consumption by province, mercury removal efficiencies by control technology or technology combinations, etc. Based on these detailed data, probability-based distribution functions are built into the sub-module to address the uncertainties of these key parameters. The sub-module incorporates Monte Carlo simulations to take into account the probability distributions of key input parameters and produce the mercury emission results in the form of a statistical distribution. For example, the best estimate for total mercury emissions from coal-fired power plants in China in 2003 is 90.5 Mg, with the uncertainty range from 57.1 Mg (P10) to 154.6 Mg (P90); and the best estimate for elemental mercury emissions is 43.0 Mg, with the uncertainty range from 25.6 Mg (P10) to 75.7 Mg (P90). The results further indicate that the majority of the uncertainty in mercury emission estimation comes from two factors: mercury content in coal and mercury removal efficiency.

Summary
Uncertainties in estimating mercury emissions from coal-fired power plants in China

Excerpt
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