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Erschienen in:
2022 | OriginalPaper | Buchkapitel
75. A Dataset Analysis of Particular Matter Removal Techniques in China’s Coal-Fired Power Plant
verfasst von : Xiaoyu Li, Yu Ni, Hui Long
Erschienen in: Clean Coal and Sustainable Energy
Verlag: Springer Singapore
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Abstract
We perform a dataset analysis of particulate matter (PM) removal techniques in China’s coal-fired power plant. The database we built contains 164 units in all regions of China. It covers many typical coal samples and lasts from 2005 to 2019 when the PM emission limit largely reduces from 200 to 10 (or even 5) mg/m3 in China. The most popular primary PM removal technique is the low–low temperature ESP. It is revealed that the specific collection area and inlet flue gas temperature keep adjusting to satisfy the stricter regulation within this period. Usually the use of secondary PM removal technique is necessary for ultra-low emission, with WFGD and demister dominants. The WESP increases the PM removal efficiency, but is always companied with huge electrical costs in operation. We then propose a technology roadmap for the purpose of ultra-low PM emission of coal-fired power plants under different conditions.