Numerical simulation and prediction of fast pyrolysis behavior of biomass pellet based on the coupling of heat and mass transfer characteristics and component reaction kinetics

Dexin Huang, Gongxiang Song, Zhijie Gong, Jun Xu, Kai Xu, Long Jiang, Yi Wang, Sheng Su, Song Hu and Jun Xiang

Energy, 2025, vol. 318, issue C

Abstract: Fast pyrolysis of biomass pellets is an effective means of large-scale utilization of biomass resources. This paper simulated and predicted the fast pyrolysis weight loss behavior of biomass pellets by using a comprehensive model coupling the temperature-varying thermal properties as well as the stepwise reaction mechanism of three biomass components. Results showed that the heat transfer limitation caused by temperature-varying thermal properties increased the inner-particle temperature difference from 288 °C to 376 °C under the heating rate of 100 °C/min when considering heat transfer characteristics, and the difference was more obvious at higher heating rates. Compared with one-step reaction kinetics, adopting the three-component stepwise reaction kinetics reduces the average simulation error of pyrolysis at 100 °C/min from 4.42 % to 0.68 %. Furthermore, based on the optimized three-component five-reaction model, the TG curves at low heating rates are used to predict the TG results at higher heating rates. The deviation of the TG curves at 200–500 °C/min for the same biomass predicted by the kinetic parameters at 100 °C/min was less than 1 %. With the introduction of ash content correction, the model can also be used to predict the behavior of different biomass species with an error of less than 2 %.

Keywords: Biomass pellet; Fast pyrolysis; Numerical simulation; Heat transfer; Kinetic model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225005523
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:318:y:2025:i:c:s0360544225005523

DOI: 10.1016/j.energy.2025.134910

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().