Experimental Assessment of Gas Warning Index for Low Temperature Oxidation of Lignocellulosic Biomass

Published: December 13, 2024
Views:       Downloads:
Abstract

Biomass is widely used in the field of energy because of its abundant yield, low pollution and renewable characteristics, but the self-heating and even spontaneous combustion phenomenon that may occur during the storage of biomass poses a potential threat to its safe use. In this study, three kinds of biomass, rice straw, wheat straw and corn straw, were selected as the research objects. Dewar bottle self-heating and programmed temperature heating system were used to carry out experiments, and their gas production rules were deeply analyzed. At the same time, the gas warning index is determined based on the gas change characteristics. The self-heating experiment revealed that the self-heating temperature of biomass accumulation could rise to 53.73°C, accompanied by the release of a large amount of CO2 gas, and the CO2 concentration was positively correlated with the sample temperature, while no CO and other hydrocarbon gases were produced during the whole accumulation process. The programmed temperature experiment shows that the occurrence time and concentration of each gas product vary. The carbon and oxygen compounds almost run through the whole temperature rise process, while the hydrocarbon gases appear one after another. Based on the experimental results and the variation law of gas product and ratio, it is suggested that the concentration of CO and the ratio of CO to O2 concentration should be used as the main indicators for monitoring and early warning of biomass accumulation process. At the same time, the concentration of CH4 and the production of C2H6 and C3H8 can be used as auxiliary indicators to comprehensively monitor the oxidation status of biomass.

Published in Abstract Book of ICCEE2024 & ICEER2024
Page(s) 14-14
Creative Commons

This is an Open Access abstract, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Prediction Index Gas, Programmed Temperature Rise, Biomass Self-Heating