PlumX Metrics
Embed PlumX Metrics

Determination of Kinetic and Thermodynamic Parameters of Different Biomass with Tg-Ftir and Regression Model Fitting

SSRN, ISSN: 1556-5068
2023
  • 0
    Citations
  • 115
    Usage
  • 0
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    115

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.

Bibliographic Details

Viktoria Zsinka; Bálint Levente Tarcsay; Norbert Miskolczi

Elsevier BV

Multidisciplinary; TG-FTIR; kinetics; logistic regression model; activation energy; biomass

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know