Analysis of the Correlation between Combustion Products in Biomass Thermal Power Plant Using Association Rule Mining

Saša Igić, Dragana Bošković, Barbara Vujkov, Nemanja Igić, Todor Janić, Dalibor Jeličić, Vladica Ristić and Boris Dumnić
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Saša Igić: Faculty for Economics and Engineering Management, University Business Academy in Novi Sad, 21000 Novi Sad, Serbia
Dragana Bošković: Faculty for Economics and Engineering Management, University Business Academy in Novi Sad, 21000 Novi Sad, Serbia
Barbara Vujkov: Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
Nemanja Igić: Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
Todor Janić: Faculty of Agriculture, University of Novi Sad, 21000 Novi Sad, Serbia
Dalibor Jeličić: Panšped doo, Novi Sad, 21000 Novi Sad, Serbia
Vladica Ristić: Faculty of Applied Ecology Futura, University Metropolitan, 11000 Belgrade, Serbia
Boris Dumnić: Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia

Energies, 2020, vol. 13, issue 21, 1-13

Abstract: 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.

Keywords: biomass; thermal power plant; combustion products; association rule mining (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:21:p:5532-:d:433040

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