收藏切换
Experimental study and numerical simulation of gas flow resistance characteristics in biomass porous media
收藏切换
PDF
Cunhua PAN1, Xinke CHEN2, Fu ZHOU1, Ke ZHANG1, Lantian CAO1, Yi XIAO2, Qingyan FANG2, Cheng ZHANG2, Gang CHEN2
Thermal Power Generation | 2026, 55(3) : 92 - 99
Less
收藏切换
Thermal Power Generation | 2026, 55(3): 92-99
Biomass co-firing technology
Experimental study and numerical simulation of gas flow resistance characteristics in biomass porous media
Full
Cunhua PAN1, Xinke CHEN2, Fu ZHOU1, Ke ZHANG1, Lantian CAO1, Yi XIAO2, Qingyan FANG2, Cheng ZHANG2, Gang CHEN2
Affiliations
  • 1.East China Electric Power Test and Research Institute, China Datang Corporation Science and Technology Research Institute Co., Ltd., Hefei 230088, China
  • 2.State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2026-03-25 doi: 10.19666/j.rlfd.202505089
Outline
收藏切换

Biomass fuel is a renewable and clean energy source that can replace fossil fuels and reduce carbon emissions. However, during storage and transportation, microbial metabolism in biomass can cause self-heating, which, through the “chimney effect”, accelerates air circulation and promotes aerobic reactions, potentially leading to thermal runaway and fires. Given that biomass typically has rod-like and flake-like shapes, conventional porous media gas flow resistance models are poorly adapted for assessing these processes. In this study, a testing platform for the gas flow resistance characteristics of biomass porous media was established. Gas flow resistance tests were conducted on rice straws and soybean shells at different bulk densities. The parameters of the conventional Ergun model and the modified Ergun model were optimized. The results show that the resistance experienced by gas flowing through biomass porous media significantly increases with bulk density and gas velocity, exhibiting a pronounced upward parabolic relationship. As the load applied to the biomass increases from 50 kg/m2 to 2 800 kg/m2, its bulk density can increase by approximately two times. Ignoring the changes in bulk density and porosity caused by stacking height in biomass self-heating numerical simulations can lead to prediction deviations. Both the Ergun model and the modified Ergun model can be used to evaluate the gas flow resistance of typical flake-like or rod-like biomass. The modified Ergun model, with fewer parameters and direct calculation based on bulk density, significantly enhances engineering applicability.

biomass  /  porous media  /  airflow resistance characteristics  /  bulk density  /  numerical simulation
Cunhua PAN, Xinke CHEN, Fu ZHOU, Ke ZHANG, Lantian CAO, Yi XIAO, Qingyan FANG, Cheng ZHANG, Gang CHEN. Experimental study and numerical simulation of gas flow resistance characteristics in biomass porous media[J]. Thermal Power Generation, 2026 , 55 (3) : 92 -99 . DOI: 10.19666/j.rlfd.202505089
  • Strategic International Scientific and Technological Innovation Cooperation Funds of National Key Research and Development Program of China(2021YFE0107300)
Year 2026 volume 55 Issue 3
PDF
166
85
Cite this Article
BibTeX
Article Info
doi: 10.19666/j.rlfd.202505089
  • Receive Date:2025-05-28
  • Online Date:2026-08-14
  • Published:2026-03-25
Article Data
Affiliations
History
  • Received:2025-05-28
  • Revised:2025-06-16
  • Accepted:2025-06-25
Funding
Strategic International Scientific and Technological Innovation Cooperation Funds of National Key Research and Development Program of China(2021YFE0107300)
Affiliations
    1.East China Electric Power Test and Research Institute, China Datang Corporation Science and Technology Research Institute Co., Ltd., Hefei 230088, China
    2.State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China
References
Share
https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202505089
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT