Kinetic Modeling of Lignite Devolatilization: Comparative Perspectives of DAEM and Iso-conversional Methods

Authors

  • Mudzofar Sofyan Expertise Group of Sustainable Chemical Engineering Products, Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung
  • Winny Wulandari Expertise Group of Sustainable Chemical Engineering Products, Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung
  • Dwiwahju Sasongko Expertise Group of Sustainable Chemical Engineering Products, Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung

Keywords:

activation energy, DAEM, Gaussian, kinetic modeling, lignite, TGA

Abstract

DAEM and iso-conversional methods are reviewed for kinetically modeling lignite devolatilization, a critical initial stage in coal utilization that profoundly impacts energy efficiency and emissions. Lignite presents unique challenges due to its high volatile content () and complex multi-stage decomposition reactions. DAEM addresses this by assuming devolatilization as a series of parallel, first-order reactions with a continuous distribution of activation energies, mostly Gaussian or Weibull; multi-Gaussian DAEM extensions further enhance accuracy for intricate decomposition profiles. Conversely, iso-conversional methods like Friedman, FWO, and KAS estimate effective activation energies () at various conversions, offering a robust way to analyze kinetic data from multiple heating rates. Comparative analyses indicate that multi-Gaussian DAEM more effectively captures the staged devolatilization of lignite, with reported  for low-rank coal ranging from 142 to  and significantly improved sum of squared error (SSE) ratios (e.g., ). While iso-conversional methods are computationally efficient and provide consistent profiles (), DAEM yields more complete kinetic parameters. Both require quality TGA data and primarily describe chemical kinetics, often neglecting physical transport limitations pertinent to reactor design. Future research focuses on refining these models and integrating them with broader system simulations.

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Published

2025-10-29

How to Cite

Sofyan, M., Wulandari, W., & Sasongko, D. (2025). Kinetic Modeling of Lignite Devolatilization: Comparative Perspectives of DAEM and Iso-conversional Methods. ITB Graduate School Conference, 5(1), 657–671. Retrieved from https://gcs.itb.ac.id/proceeding-igsc/index.php/igsc/article/view/491