Determination of Kinetic and Thermodynamic Parameters of Different Biomass with Tg-Ftir and Regression Model Fitting
SSRN, ISSN: 1556-5068
2023
- 115Usage
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Article Description
In this study, the decomposition of five different raw materials (maize, wheat and piney biomass, industrial wood chips and sunflower husk) were investigated using TG-FTIR method to obtain raw data for model-based calculations. The data obtained from the thermogravimetric analysis served as a basis for the kinetic analysis with three different isoconversional, model-free methods which were KAS (Kissinger-Akahira-Sunose), FWO (Flynn-Ozawa-Wall) and Friedman methods. Afterwards, the activation energy and the pre-exponential factor was determined, where no significant difference could be concluded among the used methods (difference was under 5%). Thereafter, the thermodynamic parameters were studied. Based on the TG-FTIR data, a logistic regression model was fitted to the data, which gives information about the thermal degradation and the obtained components with different heating rates. Thus, in this work, the use of logistic mixture models as an alternative to traditional kinetic models for the description of the TGA process was also investigated.
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