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Volume 105
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Discrete simulations of combustion dynamics in coal particles: Insights into heat and mass transfer mechanisms
Li Dong a b, Shanwei Hu b c, Yufei Wang a, Xinhua Liu b c, Wei Chen b c *, Ying Ren b c *
a School of Chemical Engineering and Environment, China University of Petroleum, Beijing, 102249, China
b State Key Laboratory of Mesoscience and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China
c School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
10.1016/j.partic.2025.08.007
Volume 105, October 2025, Pages 217-228
Received 13 May 2025, Revised 24 July 2025, Accepted 1 August 2025, Available online 21 August 2025, Version of Record 26 August 2025.
E-mail: chenwei@ipe.ac.cn; yren@ipe.ac.cn
Highlights

• A spherical single-particle briquette combustion model was developed.

• A particle dynamics simulation method was proposed for combustion process of single coal briquettes.

• Effects of particle size,ambient temperature,and ash content were investigated.


Abstract

Coal remains a cornerstone of China's energy landscape, significantly contributing to primary energy production and consumption. This study investigates the combustion characteristics of coal particles using a discrete modeling approach to simulate the combustion behavior of single particles. The research reveals that larger particle sizes increase heat and mass transfer resistance, prolonging combustion duration, while higher ambient temperatures enhance convective heat transfer, accelerating combustion reactions. Additionally, the spatial distribution of inert cohesive beads significantly affects gas diffusion, with certain arrangements hindering gas release. The model is validated against current literature, demonstrating its capability to predict carbon conversion rates and combustion dynamics. These findings provide valuable insights into coal combustion mechanisms, offering a foundation for optimizing combustion processes and improving energy efficiency while addressing environmental concerns.

Graphical abstract
Keywords
Particle; Coal; Combustion; Discrete simulation
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