IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v190y2017icp408-420.html
   My bibliography  Save this article

CPFD simulations of an industrial-sized dual fluidized bed steam gasification system of biomass with 8MW fuel input

Author

Listed:
  • Kraft, Stephan
  • Kirnbauer, Friedrich
  • Hofbauer, Hermann

Abstract

Dual fluidized bed (DFB) systems for biomass gasification consist of two connected fluidized beds with a circulating bed material in between. Inside such reactor systems, rough conditions occur due to the high temperatures and the movement of the bed material. Computational fluid dynamics calculations are a useful tool for investigating fluid dynamics inside such a reactor system. In this study, an industrial-sized DFB system was simulated with the commercial code CPFD Barracuda. The DFB system is part of the combined heat and power (CHP) plant at Güssing, situated in Austria, and has a total fuel input of 8MWth. The model was set up according to geometry and operating data which allows a realistic description of the hot system in the simulation environment. Furthermore, a conversion model for the biomass particles was implemented which covers the drying and devolatilization processes. Homogeneous and heterogeneous reactions were considered. Since drag models have an important influence on fluidization behavior, four drag models were tested. It was found that the EMMS drag model fits best, with an error of below 20%, whereas the other drag models produced much larger errors. Based on this drag law, further simulations were conducted. The simulation model correctly predicts the different fluidization regimes and pressure drops in the reactor system. It is also able to predict the compositions of the product and flue gas, as well as the temperatures inside the reactor, with reasonable accuracy. Due to the results obtained, Barracuda seems suitable for further investigations regarding the fluid mechanics of such reactors.

Suggested Citation

  • Kraft, Stephan & Kirnbauer, Friedrich & Hofbauer, Hermann, 2017. "CPFD simulations of an industrial-sized dual fluidized bed steam gasification system of biomass with 8MW fuel input," Applied Energy, Elsevier, vol. 190(C), pages 408-420.
  • Handle: RePEc:eee:appene:v:190:y:2017:i:c:p:408-420
    DOI: 10.1016/j.apenergy.2016.12.113
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916318918
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.12.113?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Hui & Cattolica, Robert J. & Seiser, Reinhard & Liao, Chang-hsien, 2015. "Three-dimensional full-loop simulation of a dual fluidized-bed biomass gasifier," Applied Energy, Elsevier, vol. 160(C), pages 489-501.
    2. Barata, J., 2008. "Modelling of biofuel droplets dispersion and evaporation," Renewable Energy, Elsevier, vol. 33(4), pages 769-779.
    3. Shrestha, Siddhartha & Ali, Brahim Si & Binti Hamid, Mahar Diana, 2016. "Cold flow model of dual fluidized bed: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1529-1548.
    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. Zhou, Chunbao & Chen, Yuanxiang & Xing, Xuyang & Chen, Lei & Liu, Chenglong & Chao, Li & Yao, Bang & Zhang, Yingwen & Dai, Jianjun & Liu, Yang & Wang, Jun & Dong, Jie & Li, Yunxiang & Fan, Dekai & Wan, 2024. "Pilot-scale pyrolysis and activation of typical biomass chips in an interconnected dual fluidized bed: Comparison and analysis of products," Renewable Energy, Elsevier, vol. 225(C).
    2. Wan, Zhanghao & Yang, Shiliang & Wei, Yonggang & Hu, Jianhang & Wang, Hua, 2020. "CFD modeling of the flow dynamics and gasification in the combustor and gasifier of a dual fluidized bed pilot plant," Energy, Elsevier, vol. 198(C).
    3. Yin, Weijie & Wang, Shuai & Zhang, Kai & He, Yurong, 2020. "Numerical investigation of in situ gasification chemical looping combustion of biomass in a fluidized bed reactor," Renewable Energy, Elsevier, vol. 151(C), pages 216-225.
    4. Ahsanullah Soomro & Shiyi Chen & Shiwei Ma & Wenguo Xiang, 2018. "Catalytic activities of nickel, dolomite, and olivine for tar removal and H2-enriched gas production in biomass gasification process," Energy & Environment, , vol. 29(6), pages 839-867, September.
    5. Stanger, Lukas & Bartik, Alexander & Hammerschmid, Martin & Jankovic, Stefan & Benedikt, Florian & Müller, Stefan & Schirrer, Alexander & Jakubek, Stefan & Kozek, Martin, 2024. "Model predictive control of a dual fluidized bed gasification plant," Applied Energy, Elsevier, vol. 361(C).
    6. Jiaao Zhu & Yun Guo & Na Chen & Baoming Chen, 2024. "A Review of the Efficient and Thermal Utilization of Biomass Waste," Sustainability, MDPI, vol. 16(21), pages 1-30, October.
    7. Saha, Kaushik & Abu-Ramadan, Ehab & Li, Xianguo, 2012. "Multicomponent evaporation model for pure and blended biodiesel droplets in high temperature convective environment," Applied Energy, Elsevier, vol. 93(C), pages 71-79.
    8. Kong, Dali & Wang, Shuai & Luo, Kun & Hu, Chenshu & Li, Debo & Fan, Jianren, 2020. "Three-dimensional simulation of biomass gasification in a full-loop pilot-scale dual fluidized bed with complex geometric structure," Renewable Energy, Elsevier, vol. 157(C), pages 466-481.
    9. Yang, Shiliang & Zhou, Tao & Wei, Yonggang & Hu, Jianhang & Wang, Hua, 2020. "Dynamical and thermal property of rising bubbles in the bubbling fluidized biomass gasifier with wide particle size distribution," Applied Energy, Elsevier, vol. 259(C).
    10. Yang, Shiliang & Wan, Zhanghao & Wang, Shuai & Wang, Hua, 2020. "Computational fluid study of radial and axial segregation characteristics in a dual fluidized bed reactor system," Energy, Elsevier, vol. 209(C).
    11. Kang, Panxing & Zhang, Guangyi & Ge, Zefeng & Zha, Zhenting & Zhang, Huiyan, 2022. "Three-dimensional modelling and optimization of an industrial dual fluidized bed biomass gasification decoupling combustion reactor," Applied Energy, Elsevier, vol. 311(C).
    12. Karl, Jürgen & Pröll, Tobias, 2018. "Steam gasification of biomass in dual fluidized bed gasifiers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 64-78.
    13. Zhou, Tao & Yang, Shiliang & Wei, Yonggang & Hu, Jianhang & Wang, Hua, 2020. "Impact of wide particle size distribution on the gasification performance of biomass in a bubbling fluidized bed gasifier," Renewable Energy, Elsevier, vol. 148(C), pages 534-547.
    14. Lerkkasemsan, Nuttapol, 2017. "Fuzzy logic-based predictive model for biomass pyrolysis," Applied Energy, Elsevier, vol. 185(P2), pages 1019-1030.
    15. Sun, Haoran & Bao, Guirong & Liu, Huili & Hu, Jianhang & Wang, Hua, 2024. "Particle-scale simulation of air-blown gasification of biomass materials in bubbling fluidized bed reactor," Renewable Energy, Elsevier, vol. 220(C).
    16. Sette, Erik & Berdugo Vilches, Teresa & Pallarès, David & Johnsson, Filip, 2016. "Measuring fuel mixing under industrial fluidized-bed conditions – A camera-probe based fuel tracking system," Applied Energy, Elsevier, vol. 163(C), pages 304-312.
    17. Wang, Shuai & Shen, Yansong, 2020. "CFD-DEM study of biomass gasification in a fluidized bed reactor: Effects of key operating parameters," Renewable Energy, Elsevier, vol. 159(C), pages 1146-1164.
    18. Sun, Haoran & Bao, Guirong & Yang, Shiliang & Hu, Jianhang & Wang, Hua, 2023. "Numerical study of the biomass gasification process in an industrial-scale dual fluidized bed gasifier with 8MWth input," Renewable Energy, Elsevier, vol. 211(C), pages 681-696.
    19. Zhang, Fengxia & Yang, Shiliang & Yang, Bin & Wang, Hua, 2022. "Mesoscale bubble dynamics in the gasifier of a 1MWth dual fluidized bed gasifier for biomass gasification," Energy, Elsevier, vol. 238(PB).
    20. Monzur Alam Imteaz & A. B. M. Sharif Hossain & Maryam Bayatvarkeshi, 2022. "A mathematical modelling framework for quantifying production of biofuel from waste banana," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2010-2021, February.

    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:190:y:2017:i:c:p:408-420. 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.