Articles | Volume 15, issue 23
https://doi.org/10.5194/acp-15-13299-2015
https://doi.org/10.5194/acp-15-13299-2015
Research article
 | 
01 Dec 2015
Research article |  | 01 Dec 2015

High-resolution inventory of technologies, activities, and emissions of coal-fired power plants in China from 1990 to 2010

F. Liu, Q. Zhang, D. Tong, B. Zheng, M. Li, H. Huo, and K. B. He

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Cited articles

Amann, M., Bertok, I., Borken-Kleefeld, J., Cofala, J., Heyes, C., Höglund-Isaksson, L., Klimont, Z., Nguyen, B., Posch, M., Rafaj, P., Sandler, R., Schöpp, W., Wagner, F., and Winiwarter, W.: Cost-effective control of air quality and greenhouse gases in Europe: Modeling and policy applications, Environ. Modell. Softw., 26, 1489–1501, 2011.
Bi, Y. and Chen, G.: Countermeasures and suggestions for controlling NOx emission of utility boilers, Electricity, 15, 41–45, 2004 (in Chinese).
Cao, D. and Liu, H.: Study on NOx emission control technology of boilers, Water Conservancy & Electric Power Machinery, 33, 69–72, 2011 (in Chinese).
Chen, L., Sun, Y., Wu, X., Zhang, Y., Zheng, C., Gao, X., and Cen, K.: Unit-based emission inventory and uncertainty assessment of coal-fired power plants, Atmos. Environ., 99, 527–535, 2014.
European Commission (EC): Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL).,Emission Database for Global Atmospheric Research (EDGAR), release version 4.2., http://edgar.jrc.ec.europa.eu, (last access: 1 December 2013), 2011.
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Short summary
This is the first study in which emissions from China’s coal-fired power plants were estimated at unit level for a 20-year period. This new emission inventory is constructed from a unit-based database compiled in this work, named the China coal-fired Power plant Emissions Database (CPED), which includes detailed information on the technologies, activity data, operation situation, emission factors, and locations of individual units.
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