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Journal

2013 | 11 | 9 | 1481-1491

Article title

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

Content

Title variants

Languages of publication

EN

Abstracts

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 [...]

Publisher

Journal

Year

Volume

11

Issue

9

Pages

1481-1491

Physical description

Dates

published
1 - 9 - 2013
online
29 - 6 - 2013

Contributors

author
  • Regional Technological Centre Zasavje, Chemical-Technological Laboratory, 1420, Trbovlje, Slovenia
  • Faculty of Natural Sciences, University of Ss. Cyril and Methodius in Trnava, SK-917 01, Trnava, Slovakia
author
  • CIVIS d.o.o., 2000, Maribor, Slovenia
  • Faculty of Chemistry and Chemical Engineering, University of Maribor, 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

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.-psjd-doi-10_2478_s11532-013-0280-x
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