Towards application of machine learning algorithms for prediction temperature distribution within CFB boiler based on specified operating conditions

The availability of the power unit for electricity production is one of the most important issues of the power plant operator. Considering the power unit, boiler is the main source of its malfunction. Depending of the boiler construction, source of problem can be different. In case of usage of the c...

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Veröffentlicht in:	Energy (Oxford) 2021-12, Vol.237, p.121538, Article 121538
Hauptverfasser:	Grochowalski, Jaroslaw, Jachymek, Piotr, Andrzejczyk, Marek, Klajny, Marcin, Widuch, Agata, Morkisz, Pawel, Hernik, Bartłomiej, Zdeb, Janusz, Adamczyk, Wojciech
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Boiler malfunction Boilers CFB Combustion chambers Data analysis Deep learning algorithms Electric power generation Erosion Fluidization Fluidized beds Heating Learning algorithms Machine learning Mathematical models Power plants Prediction Risk reduction Temperature distribution
Online-Zugang:	Volltext
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