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2013 | 11 | 9 | 1481-1491
Tytuł artykułu

Characterization of Slovenian coal and estimation of coal heating value based on proximate analysis using regression and artificial neural networks

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Abstract Chemical composition of Slovenian coal has been characterised in terms of proximate and ultimate analyses and the relations among the chemical descriptors and the higher heating value (HHV) examined using correlation analysis and multivariate data analysis methods. The proximate analysis descriptors were used to predict HHV using multiple linear regression (MLR) and artificial neural network (ANN) methods. An attempt has been made to select the model with the optimal number of predictor variables. According to the adjusted multiple coefficient of determination in the MLR model, and alternatively, according to sensitivity analysis in ANN developing, two descriptors were evaluated by both methods as optimal predictors: fixed carbon and volatile matter. The performances of MLR and ANN when modelling HHV were comparable; the mean relative difference between the actual and calculated HHV values in the training data was 1.11% for MLR and 0.91% for ANN. The predictive ability of the models was evaluated by an external validation data set; the mean relative difference between the actual and predicted HHV values was 1.39% in MLR and 1.47% in ANN. Thus, the developed models could be appropriately used to calculate HHV. Graphical abstract [...]
Wydawca

Czasopismo
Rocznik
Tom
11
Numer
9
Strony
1481-1491
Opis fizyczny
Daty
wydano
2013-09-01
online
2013-06-29
Twórcy
  • Regional Technological Centre Zasavje, Chemical-Technological Laboratory, 1420, Trbovlje, Slovenia, darjakavsek@gmail.com
  • Faculty of Natural Sciences, University of Ss. Cyril and Methodius in Trnava, SK-917 01, Trnava, Slovakia
autor
  • CIVIS d.o.o., 2000, Maribor, Slovenia
  • Faculty of Chemistry and Chemical Engineering, University of Maribor, 2000, Maribor, Slovenia
  • Faculty of Natural Sciences, University of Ss. Cyril and Methodius in Trnava, SK-917 01, Trnava, Slovakia
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_2478_s11532-013-0280-x
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