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In this work, an effective method based on artificial neural network (ANN) and genetic algorithms (GA) is suggested for modeling the carbon burnout behavior in a tangentially fired utility boiler and optimizing the operating conditions to achieve the highest boiler heat efficiency consecutively. When carbon burnout behavior under various operating conditions are experimentally investigated, the comparison...
The present work introduces a way of optimizing the low NO x combustion using the neural network and genetic algorithms for pulverized coal burned utility boiler. The NO x emission characteristic of a 600MW capacity boiler operated under different conditions is experimentally investigated and on the basis of experimental results, the artificial neural network is used to describe its...
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