IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v400y2025ics030626192501342x.html

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192501342X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.126612?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. 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).
    5. Baruah, Dipal & Baruah, D.C., 2014. "Modeling of biomass gasification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 806-815.
    6. 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.
    7. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Magdalena Skrzyniarz & Marcin Sajdak & Anna Biniek-Poskart & Andrzej Skibiński & Marlena Krakowiak & Andrzej Piotrowski & Patrycja Krasoń & Monika Zajemska, 2024. "Methods and Validation Techniques of Chemical Kinetics Models in Waste Thermal Conversion Processes," Energies, MDPI, vol. 17(13), pages 1-27, June.
    2. Ismail, Tamer M. & Ramos, Ana & Monteiro, Eliseu & El-Salam, M. Abd & Rouboa, Abel, 2020. "Parametric studies in the gasification agent and fluidization velocity during oxygen-enriched gasification of biomass in a pilot-scale fluidized bed: Experimental and numerical assessment," Renewable Energy, Elsevier, vol. 147(P1), pages 2429-2439.
    3. Kamel, Salah & El-Sattar, Hoda Abd & Vera, David & Jurado, Francisco, 2018. "Bioenergy potential from agriculture residues for energy generation in Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 28-37.
    4. Ascher, Simon & Watson, Ian & You, Siming, 2022. "Machine learning methods for modelling the gasification and pyrolysis of biomass and waste," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    5. Safarian, Sahar & Unnthorsson, Runar & Richter, Christiaan, 2020. "The equivalence of stoichiometric and non-stoichiometric methods for modeling gasification and other reaction equilibria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    6. Safarian, Sahar & Unnþórsson, Rúnar & Richter, Christiaan, 2019. "A review of biomass gasification modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 378-391.
    7. Ferreiro, A.I. & Segurado, R. & Costa, M., 2020. "Modelling soot formation during biomass gasification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    8. Sales-Setién, Ester & Peñarrocha-Alós, Ignacio, 2020. "Robust estimation and diagnosis of wind turbine pitch misalignments at a wind farm level," Renewable Energy, Elsevier, vol. 146(C), pages 1746-1765.
    9. Xinxin Liu & Nan Li & Feng Liu & Hailin Mu & Longxi Li & Xiaoyu Liu, 2021. "Optimal Design on Fossil-to-Renewable Energy Transition of Regional Integrated Energy Systems under CO 2 Emission Abatement Control: A Case Study in Dalian, China," Energies, MDPI, vol. 14(10), pages 1-25, May.
    10. Francisco José Sepúlveda & María Teresa Miranda & Irene Montero & José Ignacio Arranz & Francisco Javier Lozano & Manuel Matamoros & Paloma Rodríguez, 2019. "Analysis of Potential Use of Linear Fresnel Collector for Direct Steam Generation in Industries of the Southwest of Europe," Energies, MDPI, vol. 12(21), pages 1-15, October.
    11. Tutar, Halit & Eren, Ömer & Er, Hasan & Gonulal, Erdal & Gokdogan, Osman, 2025. "Field-based experimental greenhouse gas emissions and energy use efficiency study of sorghum x sudan grass hybrid growth in a semi-arid region," Energy, Elsevier, vol. 315(C).
    12. 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.
    13. Hu, Xincheng & Banks, Jonathan & Wu, Linping & Liu, Wei Victor, 2020. "Numerical modeling of a coaxial borehole heat exchanger to exploit geothermal energy from abandoned petroleum wells in Hinton, Alberta," Renewable Energy, Elsevier, vol. 148(C), pages 1110-1123.
    14. Hu, Hongjie & Lu, Bingxiao & Luo, Dahai & Rong, Rong & Yang, Xingyu, 2025. "CFD analysis of different leading edge tubercles on the aerodynamic performance of NREL phase VI wind turbine blades," Energy, Elsevier, vol. 334(C).
    15. Rahim Zahedi & Reza Eskandarpanah & Mohammadhossein Akbari & Nima Rezaei & Paniz Mazloumin & Omid Noudeh Farahani, 2022. "Development of a New Simulation Model for the Reservoir Hydropower Generation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2241-2256, May.
    16. Li, Peidu & Gao, Xiaoqing & Li, Zhenchao & Ye, Tiange & Zhou, Xiyin, 2022. "Effects of fishery complementary photovoltaic power plant on near-surface meteorology and energy balance," Renewable Energy, Elsevier, vol. 187(C), pages 698-709.
    17. Saleem, Arslan & Kim, Man-Hoe, 2020. "Aerodynamic performance optimization of an airfoil-based airborne wind turbine using genetic algorithm," Energy, Elsevier, vol. 203(C).
    18. Zafar, Muhammad Wasif & Shahbaz, Muhammad & Hou, Fujun & Sinha, Avik, 2018. "¬¬¬¬¬¬From Nonrenewable to Renewable Energy and Its Impact on Economic Growth: Silver Line of Research & Development Expenditures in APEC Countries," MPRA Paper 90611, University Library of Munich, Germany, revised 10 Dec 2018.
    19. Soltanian, Salman & Kalogirou, Soteris A. & Ranjbari, Meisam & Amiri, Hamid & Mahian, Omid & Khoshnevisan, Benyamin & Jafary, Tahereh & Nizami, Abdul-Sattar & Gupta, Vijai Kumar & Aghaei, Siavash & Pe, 2022. "Exergetic sustainability analysis of municipal solid waste treatment systems: A systematic critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    20. Diego Larrahondo & Ricardo Moreno & Harold R. Chamorro & Francisco Gonzalez-Longatt, 2021. "Comparative Performance of Multi-Period ACOPF and Multi-Period DCOPF under High Integration of Wind Power," Energies, MDPI, vol. 14(15), pages 1-15, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:400:y:2025:i:c:s030626192501342x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.