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Modeling and Analysis of the Kinetics of the Pyrolysis Process of Biomass with Influence Raw Material Composition on Comsol Multiphysics

Mamatkulova Sayyora GulyamovnaAlternative Energy Sources, Karshi Engineering Economic Institute,PhD Student of the Department,Karshi City,UzbekistanUzakov Gulom NorboyevichAlternative Energy Sources, Karshi Engineering Economic Institute,Professor of the Department,Karshi City,UzbekistanQodirov Farrux Ergash Ug'IiUlasheva Shaxlo TagayevnaKarshi Branch of the Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi,Senior Lecturer of the Department of Information Technology Software
2024en
ABI

Abstract

In this article, the modeling and analysis of the kinetics of the pyrolysis process is carried out, which allows us to determine the rate of chemical reactions occurring during the decomposition of the material, as well as to identify key factors affecting the speed and efficiency of pyrolysis. The simulation was performed using Comsol Multiphysics software based on the kinetic mechanisms of the reaction of biomass of corn cob particles at a temperature of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$500^{\mathrm{o}}\mathrm{C}$</tex>. The pyrolysis process of plant biomass was analyzed at a residence time of 0 to 10 minutes. The resulting models describe temperature changes well, especially in the center of the biomass. It was found that pyrolysis of corncob biomass occurred in the temperature range from 190 to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$43 2^{0}\mathrm{C}$</tex>, at <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$19 0^{0}\mathrm{C}$</tex> mass loss began, which ended at 432 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\circ \mathrm{c}$</tex>. The kinetic parameters were calculated using the Kissinger method, and the least squares method and correlation analysis were used to calculate the kinetic constants. The study results will be useful for optimizing the conditions of the biomass pyrolysis process in the future.

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