Open AccessNO<sub>x</sub> PREDICTION FOR FBC BOILERS USING EMPIRICAL MODELS
Author(s) -
Jiří Štefanica,
Jan Hrdlička
Publication year - 2014
Publication title -
acta polytechnica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.207
H-Index - 15
eISSN - 1805-2363
pISSN - 1210-2709
DOI - 10.14311/ap.2014.54.0068
Subject(s) - boiler (water heating) , combustion , coal , empirical modelling , coal combustion products , brown coal , pulverized coal fired boiler , predictive modelling , environmental science , engineering , computer science , chemistry , waste management , machine learning , simulation , organic chemistry
Reliable prediction of NO x emissions can provide useful information for boiler design and fuel selection. Recently used kinetic prediction models for FBC boilers are overly complex and require large computing capacity. Even so, there are many uncertainties in the case of FBC boilers. An empirical modeling approach for NO x prediction has been used exclusively for PCC boilers. No reference is available for modifying this method for FBC conditions. This paper presents possible advantages of empirical modeling based prediction of NO x emissions for FBC boilers, together with a discussion of its limitations. Empirical models are reviewed, and are applied to operation data from FBC boilers used for combusting Czech lignite coal or coal-biomass mixtures. Modifications to the model are proposed in accordance with theoretical knowledge and prediction accuracy.