Volume 117
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Coarse-grained CFD-DEM modeling for heat transfer of cylindrical biomass particles in gas–solid fluidized beds
Yuhao Hu a, Yuqi Guo a, Jinlong Wang a, Xiaosong Hu a, Huaqing Ma b, Lianyong Zhou c *, Yongzhi Zhao a *
a Institute of Advanced Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, 310027, China
b School of Qilu Transportation, Shandong University, Jinan, 250061, China
c College of Smart Energy, Shanghai Jiao Tong University, Shanghai, 200240, China
10.1016/j.partic.2026.07.007
Volume 117, October 2026, Pages 76-91
Received 14 May 2026, Revised 20 June 2026, Accepted 9 July 2026, Available online 21 July 2026, Version of Record 28 July 2026.
E-mail: yzzhao@zju.edu.cn

Highlights

• A coarse-grained CFD-DEM model for heat transfer of cylindrical biomass particles.

• Scaling law for cylindrical particles accounting for orientation and neighboring effects.

• Revealed the characteristic correlation between particle orientation and heat transfer.

• Threefold coarse graining achieves a 36.6-fold speedup in DEM-only calculations.


Abstract

Computational Fluid Dynamics coupled with the Discrete Element Method (CFD–DEM) is widely used to investigate gas–solid flow and heat transfer in fluidized beds. However, its high computational cost restricts large-scale simulations involving cylindrical biomass particles. This study develops a coarse-grained CFD–DEM model for predicting the flow and heat transfer behavior of cylindrical biomass particle systems. Cylindrical particles are represented using a super-ellipsoid model, and a heat transfer scaling law is derived by considering particle orientation, aspect ratio, projected area, and neighboring-particle effects. The model is systematically validated in a gas–solid fluidized bed through comparisons with the original fine-scale system in terms of particle flow patterns, solids distribution, bed expansion, temperature evolution, and transient heat transfer characteristics. The results show that the proposed model accurately reproduces the main hydrodynamic structures, particle distributions, temperature profiles, and overall heat transfer behavior of the fine-scale system. It also preserves the effects of particle shape and orientation on interphase heat transfer. Meanwhile, the coarse-grained model substantially reduces the number of simulated particles and computational cost while maintaining satisfactory predictive accuracy. The developed model therefore provides an efficient and reliable approach for large-scale heat transfer simulations of gas–solid fluidized beds containing cylindrical biomass particles.

Graphical abstract
Keywords
Coarse-grained CFD-DEM; Cylindrical biomass particles; Gas–solid fluidized bed; Convective heat transfer