Estimation of NOx Emissions in Thermal Power Plants Using Neural Networks

摘要

In this paper a neural network-based strategy is proposed for the estimation of the Nox emissions in thermal power plants, fed with both oil and methane fuel. A detailed analysis based on a three-dimensional simulator of the combustion chamber has pointed out the local nature of the Nox generation process, which takes place mainly in the burners' zones.