期刊名称：Bulletin of the Institute of Heat Engineering
印刷版ISSN：2083-4187
出版年度：2017
卷号：97
期号：2
页码：75
语种：English
出版社：Warsaw University of Technology
摘要：This paper presents a way of predicting NOx emissions from circulating fluidized bed combustors (CFBC) in air-fired and oxyfuelconditions, using the Artificial Neural Network (ANN) Approach. The Original Neural Networks Model was successfullyapplied to calculate the NOx (i.e. NO + NO2) emissions from coal combustion under air-fired and oxygen-enriched conditionsin several CFB boilers. The ANN model was shown to give quick and accurate results in response to the input pattern. TheNOx emissions, evaluated using the developed ANN model are in good agreement with the experimental results.
其他摘要：This paper presents a way of predicting NOx emissions from circulating fluidized bed combustors (CFBC) in air-fired and oxyfuel conditions, using the Artificial Neural Network (ANN) Approach. The Original Neural Networks Model was successfully applied to calculate the NOx (i.e. NO + NO2) emissions from coal combustion under air-fired and oxygen-enriched conditions in several CFB boilers. The ANN model was shown to give quick and accurate results in response to the input pattern. The NOx emissions, evaluated using the developed ANN model are in good agreement with the experimental results.
