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- W2357213801 abstract "Many factors can affect NOx generation in coal-fired boilers.To solve the problem,artificial neural network technique was applied to construct the NOx emission model based on field test data,and effects of vertical distributions of secondary air are analyzed based on neural network predictions.It is concluded that a concave-shape distribution or low percentages of secondary air at low stories of a combustor are beneficial to NOx reduction.The constructed neural network model can provide theoretical support for NOx reduction through optimization of staged-air combustion in coal boilers." @default.
- W2357213801 created "2016-06-24" @default.
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- W2357213801 date "2008-01-01" @default.
- W2357213801 modified "2023-09-23" @default.
- W2357213801 title "Artificial neural network models of NO_X emission for coal-fired boilers and optimization of staged-air combustion" @default.
- W2357213801 hasPublicationYear "2008" @default.
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