Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule Mining
The biomass combustion process is inevitably accompanied by the emission of pollutant gasses. This paper gives a comprehensive analysis of the external variables and combustion products of the biomass plant. The analyzed data were collected from 18 MWt boiler in combined heat and power plant Sremska...
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doaj-cb922748cdc5474d99a2961bc9942c0c2020-11-25T03:56:33ZengMDPI AGEnergies1996-10732020-10-01135532553210.3390/en13215532Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule MiningSaša Igić0Dragana Bošković1Barbara Vujkov2Nemanja Igić3Todor Janić4Dalibor Jeličić5Vladica Ristić6Boris Dumnić7Faculty for Economics and Engineering Management, University Business Academy in Novi Sad, 21000 Novi Sad, SerbiaFaculty for Economics and Engineering Management, University Business Academy in Novi Sad, 21000 Novi Sad, SerbiaFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaFaculty of Agriculture, University of Novi Sad, 21000 Novi Sad, SerbiaPanšped doo, Novi Sad, 21000 Novi Sad, SerbiaFaculty of Applied Ecology Futura, University Metropolitan, 11000 Belgrade, SerbiaFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, SerbiaThe biomass combustion process is inevitably accompanied by the emission of pollutant gasses. This paper gives a comprehensive analysis of the external variables and combustion products of the biomass plant. The analyzed data were collected from 18 MWt boiler in combined heat and power plant Sremska Mitrovica over a period of four months. The correlations between the recorded data were determined using a unique methodology, which is based on association rule mining. The results of the study can be further used for the reduction of the harmful combustion products, as well as for the optimization of the operation process.https://www.mdpi.com/1996-1073/13/21/5532biomassthermal power plantcombustion productsassociation rule mining |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Saša Igić Dragana Bošković Barbara Vujkov Nemanja Igić Todor Janić Dalibor Jeličić Vladica Ristić Boris Dumnić |
spellingShingle |
Saša Igić Dragana Bošković Barbara Vujkov Nemanja Igić Todor Janić Dalibor Jeličić Vladica Ristić Boris Dumnić Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule Mining Energies biomass thermal power plant combustion products association rule mining |
author_facet |
Saša Igić Dragana Bošković Barbara Vujkov Nemanja Igić Todor Janić Dalibor Jeličić Vladica Ristić Boris Dumnić |
author_sort |
Saša Igić |
title |
Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule Mining |
title_short |
Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule Mining |
title_full |
Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule Mining |
title_fullStr |
Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule Mining |
title_full_unstemmed |
Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule Mining |
title_sort |
analysis of the correlation between combustion products in biomass thermal power plant using association rule mining |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-10-01 |
description |
The biomass combustion process is inevitably accompanied by the emission of pollutant gasses. This paper gives a comprehensive analysis of the external variables and combustion products of the biomass plant. The analyzed data were collected from 18 MWt boiler in combined heat and power plant Sremska Mitrovica over a period of four months. The correlations between the recorded data were determined using a unique methodology, which is based on association rule mining. The results of the study can be further used for the reduction of the harmful combustion products, as well as for the optimization of the operation process. |
topic |
biomass thermal power plant combustion products association rule mining |
url |
https://www.mdpi.com/1996-1073/13/21/5532 |
work_keys_str_mv |
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