Appraisal of information system for evaluation of kinetic parameters of biomass oxidation
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ORIGINAL ARTICLE
Appraisal of information system for evaluation of kinetic parameters of biomass oxidation Dalibor Petkovic 1 & Biljana Petković 2 & Boris Kuzman 3 Received: 21 August 2020 / Revised: 31 August 2020 / Accepted: 10 September 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract To understand the decomposition behavior of biomass oxidation, there is need to analyze the process by some models. An etracking system was established and modeled by the object-oriented methodology of kinetic parameters of biomass oxidation. The system calculates kinetic parameters of the biomass oxidation through neuro-fuzzy methodology which is the main core of the e-tracking system. The main attempt in this study was to develop a model for tracking of the biomass oxidation based on different input features. Activation energy and reaction order were the kinetic parameters of the biomass oxidation which were used as the output parameters. Fixed carbon and ash are the most influential factors for the activation energy and reaction order respectively. Oxygen concertation has the smallest impact on the activation energy and reaction order. Designed e-tracking system could have potential for practical applications since it could be updated with more input parameters. Keywords Biomass . Neuro-fuzzy . Oxidation . Fresh weight . E-tracking
1 Introduction Biomass represents one of the most known renewable energy sources which could serve as substitution for fossil fuel. During biomass growth process, carbon dioxide is captured; hence, the obtained final product is carbon neutral source for bioenergy. For the bioenergy production, there is biomass oxidation process. The biomass oxidation process includes physical and chemical processes. During the process, there are several steps which occur simultaneously with different thermal and oxidization reactivity. Therefore, estimation of the oxidation process of different biomasses is a difficult task which requires advances in computational approaches. In other words, there is need to develop models for the biomass oxidation in order to simulate the process.
* Dalibor Petkovic [email protected] 1
University of Niš, Pedagogical Faculty in Vranje, Partizanska 14, Vranje 17500, Serbia
2
Alfa BK University - Faculty of Finance, Banking and Auditing, Belgrade, Serbia
3
Institute of Agricultural Economics, Belgrade, Serbia
The predicted results in article [1] proved the oxidative mechanism of biomass: the first stage is caused by the decomposition of hemicellulose and cellulose and partially decomposition of lignin, and the second stage is resulted from both the decomposition of the remaining lignin and char combustion. The incineration model in article [2] gave a lead to the sequestration of emissions released during the direct combustion of biomass and the subsequent entrapment of oxides of carbon and the eventual release of abundant hydrogen gas in the entrapment jar. The comparison of reforming technologies showed that an autothermal reformer (ATR) could be a
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