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Overall optimization of operation cost of the boiler and SCR in coal-fired power plants
Author(s) -
Wei Li,
Qian Xu,
Dean Kong,
Xiang Zhao,
Ning Gao,
Xuguang Lv
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1585/1/012044
Subject(s) - boiler (water heating) , coal , waste management , coal fired , environmental science , power station , volume (thermodynamics) , nox , selective catalytic reduction , process engineering , engineering , environmental engineering , chemistry , combustion , catalysis , electrical engineering , biochemistry , physics , organic chemistry , quantum mechanics
Coal-fired power plants are usually equipped with selective catalytic reduction (SCR) systems to reduce nitrogen oxides (NOx) emissions. In this paper, we considered both the denitrification cost of the SCR system and the coal burning cost of the boiler to develop an operation cost model. Furthermore, the genetic algorithm was proposed to minimize the total operation cost by optimizing the feature parameters, including the primary air pressure, secondary air volume, overheated air volume, and NH 3 injection volume. Simulation experiments were performed based on the operating data of a 1000 MW coal-fired power plant, with results showing that the total operating cost of the boiler and SCR was lowered.

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