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Spatial comprehensive comparative analysis of updraft and downdraft fixed bed gasification reactors by computational fluid dynamics approach with industrial data validation

Author

Listed:
  • Kuttin, Kannie Winston
  • Kuttin, Anidrah Winston
  • Salem, Ahmed M.
  • Wang, Yajun
  • Ding, Lu

Abstract

Energy and chemical production through small to medium scale biomass thermochemical conversion plants has propel fixed bed gasification process to the forefront of research and development. The updraft and downdraft fixed-bed gasification reactors have similar operational characteristics but are distinct in performance output regarding syngas quality, tar production, and efficiencies. Emissions, solid residues, and conversion efficiency also vary, making their comparisons essential for evaluating sustainability and environmental impact depending on the gasifying agent used. Additionally, comparing reactor designs helps understand which configuration suits which industrial conditions and the scaling needs of specific gasification processes under different operational conditions. A comprehensive biomass conversion computational fluid dynamics model with different gasifying medium - air, steam (H2O(g)), and carbon dioxide (CO2) is studied to comparatively assess their effect on gas composition, lower heating value (LHV), tar yield, carbon conversion efficiency (CCE), and cold gas efficiency (CGE) in industrial updraft and downdraft gasifiers. The validity of the developed models was established by contrasting with two sets of industrial data obtained from air gasification, with a root mean square error of 1.025 and 1.321 for updraft and downdraft, respectively. Increasing the equivalence ratio (0.18–0.34), steam-fuel ratio (0.4–1.2), and CO2 to fuel ratio (0.18–0.9) enhanced gas yield and tar cracking but reduced the gas quality in both configurations. The updraft recorded the highest LHV of 6.81, 8.23, 7.48 MJ/Nm3, and the lowest tar contents of 1.81, 1.03, and 1.61 g/Nm3 were predicted by downdraft for air, steam, and CO2, respectively. The highest CCE of 97.3 % was recorded by updraft during the steam gasification process, while downdraft recorded the highest CCE of 92.4 and 86.24 % in air and CO2 gasification processes, respectively. Finally, the updraft recorded the highest CGE of 83.5 and 72.5 % for steam and CO2 gasification, while the downdraft recorded the highest CGE of 71.1 % for air gasification. The study will distinctively aid the understanding of these reactor configurations under different operational conditions and which design suits which industrial conditions and scaling needs of specific gasification processes.

Suggested Citation

  • Kuttin, Kannie Winston & Kuttin, Anidrah Winston & Salem, Ahmed M. & Wang, Yajun & Ding, Lu, 2025. "Spatial comprehensive comparative analysis of updraft and downdraft fixed bed gasification reactors by computational fluid dynamics approach with industrial data validation," Applied Energy, Elsevier, vol. 400(C).
    • Handle: RePEc:eee:appene:v:400:y:2025:i:c:s030626192501342x
    DOI: 10.1016/j.apenergy.2025.126612
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    References listed on IDEAS

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    1. Baruah, Dipal & Baruah, D.C., 2014. "Modeling of biomass gasification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 806-815.
    2. Kuttin, Kannie Winston & Salem, Ahmed M. & Ding, Lu & Yu, Guangsuo, 2025. "Parametric evaluation of carbon dioxide and steam co-gasification of sewage sludge and palm kernel shell in a downdraft fixed bed reactor: Computational Fluid Dynamics (CFD) approach," Applied Energy, Elsevier, vol. 379(C).
    3. Kamble, Alka D. & Mendhe, Vinod A. & Chavan, Prakash D. & Saxena, Vinod K., 2022. "Insights of mineral catalytic effects of high ash coal on carbon conversion in fluidized bed Co-gasification through FTIR, XRD, XRF and FE-SEM," Renewable Energy, Elsevier, vol. 183(C), pages 729-751.
    4. Zepeng Sun & Yazhuo Wang & Jing Gu & Haoran Yuan & Zejian Liu & Leilei Cheng & Xiang Li & Xian Li, 2023. "CFD Simulation and Experimental Study on a Thermal Energy Storage–Updraft Solid Waste Gasification Device," Energies, MDPI, vol. 16(12), pages 1-33, June.
    5. Chaurasia, Ashish, 2016. "Modeling, simulation and optimization of downdraft gasifier: Studies on chemical kinetics and operating conditions on the performance of the biomass gasification process," Energy, Elsevier, vol. 116(P1), pages 1065-1076.
    6. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    7. Qi, Jingwei & Wang, Yijie & Hu, Ming & Xu, Pengcheng & Yuan, Haoran & Chen, Yong, 2023. "A reactor network of biomass gasification process in an updraft gasifier based on the fully kinetic model," Energy, Elsevier, vol. 268(C).
    8. Ramos, Ana & Monteiro, Eliseu & Rouboa, Abel, 2019. "Numerical approaches and comprehensive models for gasification process: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 188-206.
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