4.7 Article

Fast pyrolysis multiphase CFD-kinetics model in a drop tube reactor

Journal

FUEL
Volume 340, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2023.127524

Keywords

Computational fluid dynamics (CFD); Heterogeneous reaction; Heat and mass transfer; Kinetics; Multiphase flow; Pyrolysis

Ask authors/readers for more resources

This study successfully overcomes the challenges involved in the experimental investigation of biomass pyrolysis kinetics using a CFD model and simulation. The model provides a detailed characterization and visualization of the pyrolysis kinetics, and predicts the composition of the products obtained from biomass feedstock under specific reactor conditions.
Experimental investigation of biomass pyrolysis kinetics is challenging due to simultaneous complex chemical reactions, interphase heat and mass transfer. A CFD model and simulation overcome the challenges faced in experimental work and provides a detailed characterization of pyrolysis kinetics. In this work, a granular multiphase flow model with 17 heterogeneous reactions, 53 interphase mass transfer, and 35 pyrolysis species and Nitrogen (36 species) transport models was implemented to investigate the pyrolysis kinetics using a continuous flow drop tube reactor (DTR). The model predicted that 45 wt% biofuel, 25 wt. % permanent gases, 10 wt% water and 20 wt% biochar is produced from a biomass feedstock at a reactor wall temperature of 773 K. The majority of biofuel (35 wt%) is produced from cellulose. While hemicellulose and lignin mainly produce permanent gases (16 wt%) and biochar (8 wt%), respectively. Product characterization and visualization of the pyrolysis process in a virtual environment mimicking the actual reactor in real-time sheds light on the pyrolysis reaction processes lacking in the literature.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available