Neurocomputing approach for the prediction of NOx emissions from CFBC in air-fired and oxygen-enriched atmospheres

• Autorzy: Krzywański J. , Nowak W.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

nitrogen oxide; circulating fluidized bed; CFB; oxy combustion; artificial neural networks

PL

tlenek azotu; kocioł z cyrkulacyjną warstwą fluidalną; spalanie; sztuczne sieci neuronowe

• Wydawca: Institute of Heat Engineering, Warsaw University of Technology
• Czasopismo: Journal of Power Technologies
• Rocznik: 2017
• Tom: Vol. 97, nr 2
• Strony: 75--84
• Opis fizyczny: Bibliogr. 96 poz., rys., tab., wykr.

Twórcy

autor

Krzywański J.

• Jan Dlugosz University in Czestochowa, 13/15 Armii Krajowej Av., 42-200 Czestochowa, Poland

autor

Nowak W.

• AGH University of Science and Technology, 30 Mickiewicza Av., 30-054 Krakow, Poland

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).